diff --git "a/questions_unaligned.csv" "b/questions_unaligned.csv"
new file mode 100644--- /dev/null
+++ "b/questions_unaligned.csv"
@@ -0,0 +1,35365 @@
+,Unnamed: 0,target_text
+0,0,What is XOR problem
+1,1,What are the benefits of backing up data
+2,2,What is meant by random processes with the help of suitable example explain random processes in detail
+3,3,What is one example of a continuous variable
+4,4,How do you know if a decision tree is Overfitting
+5,5,Which is the syntax for 2 matrix multiplication in R is
+6,6,Which operator is used for matrix multiplication R
+7,7,What is a direct product of two matrices
+8,8,How do you multiply a matrix by a vector in R
+9,9,How does the confidence level affect the confidence interval
+10,10,What does a confidence interval mean
+11,11,What is confidence interval vs confidence level
+12,12,What is the relationship between a chosen level of confidence for a confidence interval and how wide that interval is
+13,13,What is the difference between priori and posteriori
+14,14,What is meant by a priori probability
+15,15,What is meant by the a posteriori probability
+16,16,What does the standard error of estimate tell you
+17,17,What is standard error of estimate how is it measured
+18,18,What does the standard error of estimate see measure and what can this tell us about how well our linear regression models Data
+19,19,How do you read correspondence analysis
+20,20,What is correspondence analysis in SPSS
+21,21,What is hog in image processing
+22,22,What are the topics in machine learning
+23,23,What is binomial state
+24,24,What does the binomial coefficient mean
+25,25,Why neural networks is better
+26,26,Why neural network is better than random forest
+27,27,What are the advantages of neural networks in machine learning
+28,28,Why algorithms can be biased
+29,29,Can machine learning be biased
+30,30,How do you determine data bias
+31,31,What simple regression tells us
+32,32,What does regression tell us in statistics
+33,33,How do you find the maximum and minimum of a function with two variables
+34,34,Can a function have 2 variables
+35,35,How do you find the function of two variables
+36,36,What does a regression model do
+37,37,What is the difference between a population linear model and an estimated linear regression model
+38,38,What do you mean by collaborative filtering
+39,39,What is collaborative filtering in machine learning
+40,40,Is Time Series A machine learning
+41,41,Is Arima machine learning
+42,42,Is time series a forecasting technique
+43,43,Why is a binomial negative
+44,44,What is the mean of a negative binomial distribution
+45,45,What is a two way Anova examples
+46,46,What is the difference between one way and two way Anova
+47,47,What does a confidence interval tell us
+48,48,How is confidence interval calculated
+49,49,How do learning algorithms work
+50,50,What is the meaning of machine learning algorithms
+51,51,What is N Shot learning
+52,52,What does zero shot mean
+53,53,How do you calculate Heteroskedasticity in regression
+54,54,What is the solution to the Monty Hall problem
+55,55,Should you switch in the Monty Hall problem
+56,56,What does coefficient of variance tell us
+57,57,What are the uses of coefficient of variation
+58,58,What does COV mean in statistics
+59,59,What is complex random sampling
+60,60,What is the difference between random and systematic sampling provide an example of when you would use each type of sampling
+61,61,Why is systematic sampling used
+62,62,How do you run a TensorBoard
+63,63,How do you stop a TensorBoard
+64,64,How do you show a TensorFlow graph
+65,65,How do you solve for probability
+66,66,How do you know if it is a one tailed or two tailed test
+67,67,What is a two tailed test example
+68,68,How do you do a two tailed hypothesis test
+69,69,Does regularization increase bias
+70,70,What is Bayesian network or belief network
+71,71,What are the differences between naive Bayesian classifier and Bayesian belief network
+72,72,What does L2 regularization do
+73,73,What is L2 regularization in deep learning
+74,74,What is L2 and L1 Regularisation
+75,75,What effect does L2 Regularisation have on the weights of the neural network
+76,76,What does a high AIC mean
+77,77,What does a low AIC mean
+78,78,What is the difference between one tailed and two tailed P values
+79,79,Is standard deviation based on mean or median
+80,80,How do you find the median with standard deviation
+81,81,When should standard deviation not be used
+82,82,How is statistics used in data analysis
+83,83,How is statistics used in machine learning
+84,84,How do you prepare statistics for data science
+85,85,How is AB testing done
+86,86,What is control and treatment for AB test
+87,87,Why DCT is used in image processing
+88,88,How FFT algorithm is faster compared to DFT
+89,89,What is Poisson arrival rate
+90,90,What is Poisson distribution and exponential distribution
+91,91,What is lambda in regression
+92,92,How do you select lambda in ridge regression
+93,93,How do you make a log normal distribution
+94,94,How do you plot a lognormal distribution in R
+95,95,What is the structure of the lognormal distribution
+96,96,How do you plot a lognormal distribution in Matlab
+97,97,How is Kappa inter rater reliability calculated
+98,98,Why are Boltzmann Machines restricted
+99,99,What are the 2 layers of restricted Boltzmann machine called
+100,100,How do you find the covariance between X and Y
+101,101,What is covariance of X and X
+102,102,How do you calculate the covariance
+103,103,What is the variance of XY
+104,104,What does density function mean
+105,105,How do you know if a joint distribution is independent
+106,106,How do you calculate degree of freedom in regression
+107,107,What is degrees of freedom in regression
+108,108,Why do we use n 2 degrees of freedom in regression
+109,109,What is meant by statistical significance
+110,110,What does it mean when we say that an algorithm X is asymptotically more efficient than Y Mcq
+111,111,What does asymptotically efficient mean
+112,112,What do you mean by efficiency of algorithm
+113,113,What is cross entropy error
+114,114,Is cross entropy a distance
+115,115,When did facial recognition become popular
+116,116,Can you do correlation with categorical variables
+117,117,How do you test for multicollinearity among categorical variables
+118,118,How do you write an unbiased estimator
+119,119,What does it mean for a point estimator to be unbiased
+120,120,Why sample mean is unbiased estimator
+121,121,How do you calculate a regression line
+122,122,What is the equation for an S curve
+123,123,What is an S curve
+124,124,What is the function of bias in neural network
+125,125,What is bias in CNN
+126,126,How can you tell the difference between a parametric and nonparametric test
+127,127,How do you know if a test is non parametric
+128,128,What are the types of non parametric test
+129,129,How do I retrieve data from twitter
+130,130,What is twitter data download
+131,131,What is meant by Gaussian filter
+132,132,How does Gaussian filter work
+133,133,How do you read a TensorBoard histogram
+134,134,Is Gaussian filter nonlinear
+135,135,Does data have to be normally distributed for regression
+136,136,What are the assumptions for using a logistic regression
+137,137,Do predictor variables have to be normally distributed
+138,138,In which of the following cases will k means clustering fail to give good results
+139,139,What are the major drawbacks of K means clustering
+140,140,What are the problems associated with the K means clustering algorithm
+141,141,What does active learning mean
+142,142,What active learning is and how it works
+143,143,Why do active learning approaches to teaching and learning help to engage and motivate students to learn
+144,144,What are the types of agent in artificial intelligence
+145,145,What are the types of agent
+146,146,What does a hazard ratio of 0.6 mean
+147,147,How is likelihood calculated
+148,148,How do you find the maximum likelihood function
+149,149,Is the likelihood function a PDF
+150,150,What is Fractile in statistics
+151,151,What is topic modeling used for
+152,152,What is topic Modelling in text mining
+153,153,Is Topic Modelling machine learning
+154,154,What is the disadvantages of linear
+155,155,What are some common drawbacks of the linear regression model What are some ways to overcome them
+156,156,What is the strength and weakness of linear model
+157,157,What is independent probability
+158,158,How do you find independent probability
+159,159,What is independent and dependent probability
+160,160,What is a hierarchical regression
+161,161,What is the difference between hierarchical regression and stepwise regression
+162,162,How do you run a hierarchical regression
+163,163,How do you change detection in Arcmap
+164,164,What is change detection in image processing
+165,165,What is randomness and why is it so important
+166,166,Why do we need to sample
+167,167,What is the most important reason for using random sampling in experiments
+168,168,How do you calculate frequency
+169,169,Can random forest be used for forecasting
+170,170,Why is it called Student t test
+171,171,What is the mean of Student's t distribution
+172,172,Why is it called at distribution
+173,173,What is the difference between normal distribution and Student t distribution
+174,174,Why is it called bootstrapping
+175,175,What is bootstrapping in regression
+176,176,What does mean square error tell you
+177,177,Is the likelihood a probability
+178,178,Is likelihood and probability the same
+179,179,What is the conditional probability
+180,180,What is Intel movidius neural compute stick
+181,181,What is Intel neural compute stick 2
+182,182,Why do we use probability generating function
+183,183,Is prediction supervised or unsupervised
+184,184,Why do we use histograms in image processing
+185,185,How do you use a picture histogram
+186,186,How histogram is useful in image enhancement
+187,187,Why do we need recurrent neural networks
+188,188,How do recurrent neural networks help you understand the impact of sequence on meaning
+189,189,How the Bayesian network can be used to answer
+190,190,How Bayesian network is beneficial in AI
+191,191,How is aspect ratio calculated
+192,192,What is the mean of a lognormal distribution
+193,193,What is the standard deviation of a lognormal distribution
+194,194,What is the mean and variance for standard normal distribution
+195,195,How do you find the joint CDF from a joint PDF
+196,196,How do you calculate marginal PDF from joint PDF
+197,197,What standard unit means
+198,198,What is meant by unit
+199,199,What is the difference between SI unit and standard unit
+200,200,How do you find the state value and action value function
+201,201,How many layers has a RBM restricted Boltzmann machine
+202,202,What is backward stepwise selection
+203,203,What is stepwise regression used for
+204,204,What can I use instead of stepwise regression
+205,205,Which techniques are used in the decision tree
+206,206,How do Decision Trees learn
+207,207,What is regression in machine learning with example
+208,208,What is meant by regression in machine learning
+209,209,What do you mean by regression
+210,210,What is feature extraction and classification
+211,211,What is meant by features in machine learning
+212,212,What does shared weights mean CNN
+213,213,What is shared MLP
+214,214,What is parameter sharing
+215,215,How many variables are required for a regression
+216,216,How do you calculate multiple linear regression
+217,217,What is quota random sampling
+218,218,Why is quota sampling non random
+219,219,Whats the difference between a random sample and a simple random sample
+220,220,What does a consistent estimator mean
+221,221,What does consistency mean in statistics
+222,222,What does the variance of an estimator measure
+223,223,How do you estimate variance
+224,224,What is the variance of a sample
+225,225,Is variance biased estimator
+226,226,What is the formula for probability mean
+227,227,How do you find the mean of the sample mean
+228,228,How do you find the probability that the sample mean is between two numbers
+229,229,How does ERP improve decision making
+230,230,Does 0 correlation imply independence
+231,231,Why zero correlation does not mean independence
+232,232,What do you mean by clustering
+233,233,Can discrete variables be fractions
+234,234,How do you do simple linear regression
+235,235,What is linear regression explain with example
+236,236,How do you do multiple logistic regression in SPSS
+237,237,How do you do multinomial logistic regression
+238,238,How do you interpret multinomial logistic regression in SPSS
+239,239,What are the parameters in SVM
+240,240,What is C parameter
+241,241,What is multiple testing in statistics
+242,242,Which analysis is related with discriminant analysis
+243,243,Which is computed using Bayes Theorem
+244,244,What is calibrated classifier
+245,245,Can SVM return probability
+246,246,What is a dropout layer and why is it used
+247,247,Is probability a continuous variable
+248,248,Is probability discrete or continuous
+249,249,What is the difference between online and batch gradient descent
+250,250,What is stochastic learning
+251,251,What is meant by structured and unstructured data
+252,252,What is unstructured data
+253,253,Which one is an example of unstructured data
+254,254,What is the mean and variance of gamma distribution
+255,255,What is the mean of gamma
+256,256,What is the mean of a Beta distribution
+257,257,Is SVM a classification technique
+258,258,What is Arima model in machine learning
+259,259,Is Arima a regression model
+260,260,How is a scatter plot different from a line graph
+261,261,How can you tell if a scatter plot is positive
+262,262,How do you identify a scatter plot
+263,263,What is parameter and its types
+264,264,What are the two types of parameters
+265,265,What are different types of function arguments parameters
+266,266,What are the applications of anomaly detection
+267,267,How do you identify anomalies in time series data
+268,268,What does the Fourier transform tell us
+269,269,What does Fourier Transform do to a signal
+270,270,What is the significance of Fourier series
+271,271,How do you test randomness in statistics
+272,272,What does randomness mean in statistics
+273,273,What is run test for randomness
+274,274,How do you analyze a factorial in SPSS
+275,275,What is a factorial Anova example
+276,276,How do you report a factorial Anova
+277,277,What defines an independent event
+278,278,What is transferable learning
+279,279,How can we reduce Overfitting in transfer learning
+280,280,Is a test statistic the same as at score
+281,281,What does a negative test statistic mean
+282,282,What does Collinearity mean
+283,283,What is collinearity in data science
+284,284,What is Multicollinearity in machine learning
+285,285,What does it mean if a test is statistically significant
+286,286,What is the difference between statistical significance and practical significance quizlet
+287,287,Can a study be clinically significant but not statistically significant
+288,288,How can machine learning accuracy be improved
+289,289,How can you improve the accuracy of a ML model
+290,290,How can accuracy be improved
+291,291,What is IRT used for
+292,292,What is an IRT score
+293,293,What is classical test theory and item response
+294,294,What is test information function
+295,295,How do you perform k fold cross validation in R
+296,296,How do you do k fold cross validation
+297,297,How do I validate a model in R
+298,298,What is the parametric equivalent of the Kruskal Wallis test
+299,299,What is the non parametric equivalent of the independent t test
+300,300,Is Kruskal Wallis a non parametric test
+301,301,What types of questions can regression analysis answer
+302,302,What is an example of regression analysis
+303,303,What is one real life example of when regression analysis is used
+304,304,What is the purpose of image processing
+305,305,What are the advantages of image processing
+306,306,How is image processing used in engineering
+307,307,What does least squares regression line mean
+308,308,How do you find the least squares regression line in two variables
+309,309,What is the difference between discrete and continuous data
+310,310,What is quantitative data discrete and continuous
+311,311,What is lambda in regularization
+312,312,What are layers in TensorFlow
+313,313,What is the difference between singular value and eigenvalue
+314,314,How many types of learning curves are there
+315,315,What is your learning curve
+316,316,What are the phases of learning curve
+317,317,Why do we take the log of a variable
+318,318,How do you interpret log variables in regression
+319,319,What are four properties of knowledge representation technique
+320,320,What are the characteristics of a good knowledge representation technique explain each of them in brief
+321,321,What are the various issues in knowledge representation
+322,322,How many predictors can you include in a regression model
+323,323,Is null hypothesis statistical significance
+324,324,What does statistical significance mean in hypothesis testing
+325,325,What does it mean if the standard deviation is less than the mean
+326,326,What is the relationship between the standard deviation of the sample mean and the population standard deviation
+327,327,Why the sampling distribution is less variable than the population distribution
+328,328,Why is the sample mean equal to the population mean
+329,329,How is weighted kappa calculated
+330,330,What is an acceptable kappa value
+331,331,How do you find a random variable
+332,332,What is a random variable in stats
+333,333,What is the random variable Z
+334,334,What is the second moment of a random variable
+335,335,What is a realization of a random variable
+336,336,What is the moment of a function
+337,337,Why Social Media Analytics is important
+338,338,How can social media analytics help
+339,339,What are the benefits of analytics
+340,340,What are supervised and unsupervised learning
+341,341,What are unsupervised machine learning algorithms
+342,342,How do you find the probability of a probability density function
+343,343,What is probability density class 11
+344,344,How do you write a probability function
+345,345,Is regression A multivariate analysis
+346,346,What is multivariate analysis
+347,347,What is multivariate multiple linear regression
+348,348,Why is linear regression used
+349,349,What is regression typically used for
+350,350,How do you define a vector field
+351,351,How do you find a vector field
+352,352,What is the flow of a vector field
+353,353,What are the 2 types of t test
+354,354,What is the difference between a paired t test and a 2 sample t test
+355,355,Which type of t test should I use
+356,356,What is the difference between a one sample t test and Az test
+357,357,What does the F distribution tell you
+358,358,What is the F distribution used for
+359,359,What is the meaning of power spectral density
+360,360,How do you use power spectral density
+361,361,Is Apriori supervised or unsupervised
+362,362,Which learning method is an association rule
+363,363,What is association rule in data mining
+364,364,How does non response bias work
+365,365,What does non response bias mean
+366,366,What is an example of observer bias
+367,367,What is the difference between actor observer bias and self serving bias
+368,368,WHO concluded that the actor observer bias is wrong
+369,369,During what type of interactions is the actor observer effect is most prevalent
+370,370,What is feature extraction in data mining
+371,371,What is the example of feature extraction
+372,372,What is meant by factor analysis
+373,373,How do you perform a factor analysis
+374,374,How do you find the number of factors in factor analysis
+375,375,What is the best sampling method
+376,376,How do you treat outliers in data
+377,377,How do you normalize an outlier
+378,378,What is RC high pass filter
+379,379,How does RC low pass filter work
+380,380,How is high pass filter calculated
+381,381,What is difference between RC low pass filter and RC high pass filter
+382,382,What is a biased point estimator
+383,383,What is prior distribution in Bayesian
+384,384,How do you calculate posterior predictive distribution
+385,385,What is a PDF in statistics
+386,386,What is a CDF in statistics
+387,387,Is CDF the integral of PDF
+388,388,What is a good cross entropy loss value
+389,389,What are the properties of regression analysis
+390,390,How do you describe regression analysis
+391,391,What are the 2 variables in a regression analysis
+392,392,What are the objectives of regression analysis
+393,393,What is mixed model regression
+394,394,Is there a difference between mean and median
+395,395,What is geometric mean
+396,396,Why does ReLU work better than sigmoid
+397,397,How does KNN algorithm work
+398,398,How does Knn determine k value
+399,399,How do you use Knn in regression
+400,400,Is cluster sampling a random sampling method
+401,401,Which sampling methods are random
+402,402,What is a non random sample
+403,403,Is Lstm an algorithm
+404,404,Under what condition regression analysis is best suitable for prediction
+405,405,How do you know if a regression model is appropriate
+406,406,How do you transform data that is not normally distributed
+407,407,How do you change a normal distribution to a standard normal distribution
+408,408,What allows us to apply normal calculations to non normal distributions
+409,409,What do you do with non normal distribution
+410,410,How do Z scores related to normal distribution
+411,411,How does the distribution of z scores compare to the relationship between the standard deviation and the normal distribution
+412,412,Are Z scores restricted to normal distributions
+413,413,Is Z distribution the same as normal distribution
+414,414,What is considered a good NPS score
+415,415,What are the parameters of random forest
+416,416,Why do we need assumptions in machine learning
+417,417,Is Random Forest a regression model
+418,418,Which are the two main criteria on which we can judge an algorithm
+419,419,What are the two characteristics of algorithm
+420,420,What are the 2 kinds of algorithm efficiency
+421,421,How do you find the MLE of a Poisson distribution
+422,422,How do you calculate Poisson parameter
+423,423,What is connectionism theory of learning
+424,424,What is the effect of the finite population correction factor on a sample based estimate
+425,425,What is a finite sample
+426,426,How do you calculate proportions
+427,427,How do you find the mean of a sample size and proportion
+428,428,What is proportion percentage in statistics
+429,429,What is a continuous random variable give some examples
+430,430,What is a continuous random variable
+431,431,What are two examples of continuous variables
+432,432,Is age a continuous random variable
+433,433,Why we use k fold cross validation
+434,434,How do you select K fold cross validation
+435,435,Is enthalpy the opposite of entropy
+436,436,How do you reverse entropy
+437,437,Is there negative entropy
+438,438,Is entropy the same as chaos
+439,439,Can generative models be used for classification
+440,440,Where can I get sample data sets
+441,441,How do I download a dataset
+442,442,How do you collect a dataset
+443,443,What is cross sectional and time series data
+444,444,What is the difference between panel data and cross sectional data
+445,445,Why is Multicollinearity bad
+446,446,Is Multicollinearity a potential problem
+447,447,How do you know if multicollinearity is a problem
+448,448,Why Multicollinearity increases standard error
+449,449,What does effect size tell us in statistics
+450,450,How do you explain effect size
+451,451,What does a large effect size mean in statistics
+452,452,Is Monte Carlo a Bayesian
+453,453,Why is MCMC Bayesian
+454,454,Where is MCMC used
+455,455,Is MCMC machine learning
+456,456,What can you do with edge detection
+457,457,What is meant by edge detection
+458,458,How do you use cosine similarity
+459,459,Which algorithm is used for clustering
+460,460,What are the steps in designing a machine learning problem explain the checkers problem
+461,461,How do you check the value of a tensor
+462,462,How do you measure a tensor
+463,463,How do you read a TensorFlow graph
+464,464,What is discriminant analysis in machine learning
+465,465,Is LDA a classifier
+466,466,What is LDA used for
+467,467,What is the null hypothesis for a chi square test
+468,468,How do you cross tabulate data
+469,469,Is two way Anova Multivariate
+470,470,What type of analysis is Anova
+471,471,Is Anova a bivariate analysis
+472,472,How do you find the sample size when given the standard deviation and confidence interval
+473,473,How do you find the sample size given a confidence interval
+474,474,How do you use multiclass classification in logistic regression
+475,475,Who gave the definition of probability
+476,476,Who established the link between the concept of probability and statistics
+477,477,Why OLS is extensively used in regression analysis
+478,478,Why is OLS a good estimator
+479,479,Why do we use regression in real life
+480,480,What is the Adam Optimizer
+481,481,What is Optimizer in Tensorflow
+482,482,How does Adam Optimiser work
+483,483,What does the Optimizer do
+484,484,What is meant by vanishing gradient problem
+485,485,How is SSE and MSE calculated
+486,486,How do topic models work
+487,487,Is Topic Modeling NLP
+488,488,What is IIR and FIR filter
+489,489,Where are IIR filters used
+490,490,What is meant by FIR filter
+491,491,What is IIR in DSP
+492,492,What is a cost function in ML
+493,493,What is the use of cost function in machine learning
+494,494,Which of the following problems can be modeled as constraints satisfaction problems
+495,495,What is the purpose of oversampling
+496,496,Why is oversampling bad
+497,497,How would compare one class and multiclass classification explain with a suitable example
+498,498,What is multi class classification problem
+499,499,How do you interpret a confidence interval in regression
+500,500,What is p value in regression
+501,501,How is the P value calculated
+502,502,What are some examples of the cognitive technologies of AI
+503,503,What is artificial cognition
+504,504,Is dropout better than L2
+505,505,Is dropout a regularization
+506,506,What is the use of convolution layer in CNN
+507,507,What is weight normalization
+508,508,What is dropout and batch normalization
+509,509,What is a test set and why would you want to use it
+510,510,How do you explain an S curve
+511,511,What is financial S curve
+512,512,What do you mean by interpolation
+513,513,What is interpolation in deep learning
+514,514,What is interpolation in sampling
+515,515,What is interpolation and extrapolation
+516,516,What are the examples of unsupervised learning
+517,517,What is unsupervised machine learning explain with example
+518,518,What does high TNF alpha mean
+519,519,Is TNF alpha good or bad
+520,520,What does low TNF alpha mean
+521,521,How does TNF alpha cause inflammation
+522,522,Why should we not use KNN algorithm for large datasets
+523,523,Is SVM only for binary classification
+524,524,How do you know if an estimator is biased
+525,525,Is the mean a biased or unbiased estimator
+526,526,Can an estimator be biased and consistent
+527,527,What is meant by transfer learning
+528,528,What is transfer of learning with examples
+529,529,How do I import Mnist dataset to Sklearn
+530,530,How is the Mnist dataset stored
+531,531,What does the confidence interval mean
+532,532,What is the purpose of a confidence interval for a mean
+533,533,Why is confidence interval important
+534,534,How do you analyze a stock chart
+535,535,What is the null distribution of the test statistic
+536,536,What distribution does the t test statistic follow if the null hypothesis is true
+537,537,What is the distribution of the z test statistic under the null hypothesis
+538,538,What distribution does the test statistic follow
+539,539,What is regression tree method
+540,540,How is principal component calculated
+541,541,What is principal component analysis example
+542,542,How do you analyze principal component analysis
+543,543,Is Knn better than logistic regression
+544,544,Can Knn be used for both classification and regression How do you find optimal K in Knn
+545,545,Can Knn be used for continuous target
+546,546,Is logistic regression neural network
+547,547,How is neural network different from logistic regression
+548,548,Is logistic regression a learning machine
+549,549,Is logistic regression a supervised learning algorithm
+550,550,What is Z statistics
+551,551,What are Z and T scores
+552,552,What does T score mean in statistics
+553,553,Is degrees of freedom N 2
+554,554,How did artificial intelligence begin
+555,555,Where was AI invented
+556,556,What is the meaning of p value
+557,557,What is the P value rule
+558,558,What does the P value tell you
+559,559,How is Bayes theorem different from conditional probability
+560,560,What is predictive modeling in machine learning
+561,561,What is predictive modeling
+562,562,Is sampling distribution the same as population
+563,563,What is sampling distribution mean
+564,564,What is the difference between sample mean and population mean
+565,565,How do you know if a distribution is geometric
+566,566,How do you know if its binomial or geometric
+567,567,What does Underfitting mean
+568,568,What is Underfitting in model evaluation
+569,569,How do I know if my model is Overfitting or Underfitting
+570,570,What is a cause of skewed data
+571,571,What does it mean when a distribution is skewed to the left
+572,572,How do you tell which way a distribution is skewed
+573,573,How do you do probability density function
+574,574,What is the density of a normal distribution
+575,575,What are expert system in AI
+576,576,What is expertise in intelligent systems
+577,577,What is difference between intelligent system and expert system
+578,578,Which one can be used for both classification and regression
+579,579,How do you calculate random probability
+580,580,How will you find the probability to each value of a random variable
+581,581,What is random variable in probability with example
+582,582,What can decision trees be used for
+583,583,What are the pros and cons of decision tree
+584,584,What is likelihood in statistics
+585,585,What do you mean by likelihood
+586,586,What's the difference between likelihood and probability
+587,587,What is autoregressive neural network
+588,588,What does a correlation of 0.8 mean
+589,589,Is a correlation coefficient of 0.8 strong
+590,590,Is 0.7 A strong correlation
+591,591,Which is better statistics or data science
+592,592,Do I need statistics for data science
+593,593,How do you determine the sample mean
+594,594,How do you find the mean of two different means
+595,595,How do you find the population mean and sample mean difference
+596,596,Why is RMS used instead of average
+597,597,What is difference between RMS and average value
+598,598,What is the difference between K means and K nearest neighbor
+599,599,Is K nearest neighbor supervised or unsupervised
+600,600,Does K mean unsupervised
+601,601,How do you do a regression with a categorical variable in SPSS
+602,602,What is categorical regression
+603,603,What is the difference between a univariate Anova and a multivariate Anova
+604,604,Is Anova a multivariate analysis
+605,605,What is the difference between joint probability distribution and likelihood function
+606,606,What is L1 and L2 regularization
+607,607,How do you do a subgroup analysis in SPSS
+608,608,How do I run a correspondence analysis in SPSS
+609,609,How do you do correspondence analysis
+610,610,How do you analyze two variables in SPSS
+611,611,How do you predict using a regression model
+612,612,How do you predict a regression equation
+613,613,How do you predict using multiple regression
+614,614,What is the predictor in regression analysis
+615,615,Why does a correlation not prove a causal mechanism
+616,616,Do correlations allow us to determine causality
+617,617,What does Bayesian approach mean
+618,618,What does it mean to have a Bayesian brain
+619,619,Why do we use N 1 instead of N
+620,620,Why do we use N 1 in the denominator when calculating a sample variance
+621,621,What is the major task of NLP
+622,622,What is the difference between Poisson regression and logistic regression
+623,623,Which regression should I use
+624,624,What are the benefits of neural networks
+625,625,Can we calculate precision for multi class classification using confusion metrics
+626,626,How do you calculate accuracy in multi class classification
+627,627,Can we use random forest technique for feature selection
+628,628,What does a nonlinear association look like
+629,629,What is the difference between positive and negative association
+630,630,What is window size in CNN
+631,631,What is Gaussian high pass filter
+632,632,Is Gaussian filter edge preserving
+633,633,What does alpha state feel like
+634,634,What is vector space and subspace
+635,635,What are my implicit biases
+636,636,What is the difference between power and power spectral density
+637,637,How do you calculate power spectral density
+638,638,How weights are updated in Delta Rule
+639,639,What is RBF ML
+640,640,What is the advantage of radial basis function network
+641,641,What is Gaussian radial basis function
+642,642,What does a kurtosis of 3 mean
+643,643,What level of kurtosis and skewness is acceptable
+644,644,How do you interpret kurtosis and skewness values
+645,645,What is a skip connection
+646,646,Why are Skip connections used in ResNets
+647,647,Is the P value the effect size
+648,648,How do you calculate effect size
+649,649,What effect size tells us
+650,650,Is LDA supervised or unsupervised
+651,651,Is linear discriminant analysis Parametric
+652,652,What does linear discriminant analysis do
+653,653,What is an example of continuous random variable
+654,654,How do you show a discrete random variable
+655,655,Is age a discrete random variable
+656,656,What is mean of discrete random variable
+657,657,What is LD1 and LD2 in LDA
+658,658,What is an LDA score
+659,659,How do you calculate LDA
+660,660,What is momentum in training
+661,661,What is ML momentum
+662,662,What is momentum and learning rate in neural network
+663,663,Which of the following is an example of multiclass classification
+664,664,Is neural network a classification
+665,665,What are generative and discriminative models
+666,666,What is bivariate distribution in statistics
+667,667,What is normal distribution example
+668,668,What are the 4 characteristics of a normal distribution
+669,669,Is genetic algorithm unsupervised learning
+670,670,What is the relation between PDF and CDF
+671,671,What is the use of non parametric test
+672,672,What is the point of regression analysis
+673,673,What is Data Visualization in machine learning
+674,674,What is meant by visualization
+675,675,What is the purpose of visualization
+676,676,What is visualization and why is it important
+677,677,How do you know when to use a binomial distribution or a negative binomial distribution
+678,678,How do you know when to use the binomial distribution to model a situation what are the requirements for a binomial experiment
+679,679,What are the conditions for using binomial distribution
+680,680,What is unsupervised learning algorithms
+681,681,Is dense layer a hidden layer
+682,682,What are hidden layers in neural networks
+683,683,What is kernel initializer
+684,684,How does angular detect changes
+685,685,What triggers change detection in angular
+686,686,How does angular 7 detect changes
+687,687,What is change detection analysis
+688,688,How do you reduce variability in statistics
+689,689,What causes high variance
+690,690,How do you fix high bias
+691,691,Why do we use weights in neural network
+692,692,What is the role of weights and bias in a neural network
+693,693,What is bias and weight
+694,694,What is the significance of weight and bias in an artificial neuron
+695,695,What happens if there is autocorrelation
+696,696,What does ACF plot tell us
+697,697,When should I learn TensorFlow
+698,698,What can you build with TensorFlow
+699,699,Which training methods for GANs actually converge
+700,700,How do you find the variance in regression
+701,701,How do you interpret Vif in multiple regression
+702,702,What does variance accounted for mean
+703,703,Where has fuzzy inference system been implemented
+704,704,What are the applications of fuzzy inference systems
+705,705,What is frame error
+706,706,What is sample error in research
+707,707,What is sampling error and why is it important
+708,708,How do you choose variables for clustering
+709,709,Which type of data mining is most suitable for categorical variables
+710,710,Is sample standard deviation the same as standard deviation
+711,711,What does sample standard deviation mean
+712,712,What is the difference between standard deviation and standard deviation of mean
+713,713,What is the difference between SX and ΣX
+714,714,How does hierarchical clustering work
+715,715,What is embedding in machine learning
+716,716,Is kernel in SVM a similarity function
+717,717,What's the kernel trick and how is it useful
+718,718,What is gamma distribution used for
+719,719,What is the expectation of a gamma distribution
+720,720,What is the variance of a gamma distribution
+721,721,What is MIN MAX algorithm in artificial intelligence
+722,722,What is the complexity of Minimax algorithm is same as
+723,723,What does the log likelihood tell you
+724,724,What is the purpose of integration
+725,725,What is integration in simple words
+726,726,What is integration and its application
+727,727,What is classification loss
+728,728,What are variational Autoencoders used for
+729,729,What are the advantages of using a variational Autoencoder ahead of a normal Autoencoder
+730,730,Why are the formulas different for population standard deviation and sample standard deviation
+731,731,How does the variance of the sample mean compare to the variance of the population group of answer choices
+732,732,Why are there different formulas for standard deviation
+733,733,What is NLP tokenization
+734,734,How do you do tokenization
+735,735,What does Gaussian noise mean
+736,736,How does Gaussian noise work
+737,737,What is image noise in image processing
+738,738,What is Overfitting in neural network
+739,739,What is Overfitting and how is it determined
+740,740,What is Overfitting and how can you avoid it
+741,741,What is meant by bias in machine learning
+742,742,What does an R squared value of 0.3 mean
+743,743,What does an R squared value of 0.2 mean
+744,744,What is a good R2 score
+745,745,How do you interpret R2 value
+746,746,What is data abuse
+747,747,Can statistics be misused explain with example
+748,748,What is meant by statistical learning
+749,749,What do you learn in statistics for data science
+750,750,What is the difference between statistical learning and machine learning
+751,751,What does Perceptron mean
+752,752,Why is Perceptron used
+753,753,What is Perceptron MCQs
+754,754,What is kernel trick SVM
+755,755,What is the primary motivation for using the kernel trick in machine learning algorithms
+756,756,How does Gaussian kernel work
+757,757,Is deep learning unsupervised learning
+758,758,What does deep learning mean
+759,759,What is difference between deep learning and machine learning
+760,760,What does it mean to have a low correlation
+761,761,What are the types of machine learning
+762,762,What are the 2 types of machine learning
+763,763,What is agent and types of agent
+764,764,Whats is an agent
+765,765,What is Agent function in AI
+766,766,What are the advantages of sampling
+767,767,What is an example of symmetric distribution
+768,768,What does symmetrical data mean
+769,769,How do you know if a distribution is symmetric
+770,770,What is symmetric distribution skewness and kurtosis
+771,771,What does or mean in statistics
+772,772,What is L1 L2 regularization
+773,773,How does L2 regularization work
+774,774,What are the properties of a cryptographic hash function
+775,775,What are the applications of a hash function
+776,776,What is squashing function why it is needed
+777,777,What is sigmoid in deep learning
+778,778,What is sigmoid function in logistic regression
+779,779,What is the best test to be used to test a hypothesis when we have categorical variables with two possible outcomes
+780,780,Is t test for categorical data
+781,781,What are the characteristics of filter
+782,782,Which one is the example of linear filter
+783,783,How do you find the compound probability of independent events
+784,784,How do you find the probability of A and B independent
+785,785,What is oversampling machine learning
+786,786,What is random search algorithm
+787,787,Why is covariance of independent variables 0
+788,788,What does it mean for covariance to be 0
+789,789,How do you find the covariance of two random variables
+790,790,What is the role of NLG and NLU in NLP
+791,791,What is NLG in machine learning
+792,792,What is the difference between normal distribution and t distribution
+793,793,Why do we use chi square distribution
+794,794,How do you identify different chi square distributions
+795,795,What is Backpropagation in deep learning
+796,796,What do we aim to optimize in the back propagation pass
+797,797,What is gradient descent in simple terms
+798,798,What is momentum Optimizer
+799,799,How do you describe the distribution of data
+800,800,How do you describe the shape of a distribution
+801,801,How do you describe the distribution of a dot plot
+802,802,Why do we use kernels in SVM
+803,803,What is the purpose of kernel function
+804,804,Why Gaussian kernel is used in SVM
+805,805,When to use a Mann Whitney U test
+806,806,What can I use instead of a t test
+807,807,How do you solve vanishing gradient problem in RNN
+808,808,What leads to the vanishing or exploding gradient problem in RNN
+809,809,How can vanishing gradients be prevented
+810,810,What does it mean if two events are disjoint
+811,811,What does it mean to be disjoint
+812,812,Can two events be both disjoint and independent
+813,813,What does it mean if two events A and B are mutually exclusive
+814,814,What do you do if results are not statistically significant
+815,815,What is the difference between relative density and density
+816,816,What do you mean by density and relative density
+817,817,What is called relative density
+818,818,What is definition of density
+819,819,How many hidden layers are there
+820,820,Does Perceptron have hidden layers
+821,821,How do you choose the best machine learning model
+822,822,How can I improve my machine learning model
+823,823,What is binary cross entropy
+824,824,What is the difference between binary Crossentropy and categorical Crossentropy
+825,825,Does prevalence affect sensitivity
+826,826,How is sensitivity determined
+827,827,What is the difference between factors and components
+828,828,Is Principal Component Analysis A factor analysis
+829,829,What is a component matrix
+830,830,What is component transformation matrix in factor analysis
+831,831,What is posterior distribution
+832,832,What does prior mean in statistics
+833,833,What is a normal distribution of scores
+834,834,What is the most frequent score in a distribution
+835,835,What does distribution mean
+836,836,How do you determine normal distribution
+837,837,What are control problems
+838,838,How do I get started with object detection
+839,839,What is object detection in machine learning
+840,840,Which model is best for object detection
+841,841,Why do we need object detection
+842,842,How do you divide standard deviation
+843,843,Why do we divide by N 1 when calculating standard deviation
+844,844,How does N affect standard deviation
+845,845,What is standard deviation equal to
+846,846,What is CNN in image processing
+847,847,Does Yolo use CNN
+848,848,What does R CNN stand for
+849,849,What is the difference between CNN and RCNN
+850,850,What is the difference between validation set and test set
+851,851,What does the size of a test set depend on
+852,852,Why do random effects
+853,853,Why is random effects more efficient
+854,854,How do you calculate joint distribution
+855,855,How do you find the joint pdf of X and Y
+856,856,What is statistics in machine learning
+857,857,What is statistical Modelling used for
+858,858,What is statistical methods
+859,859,How does a regression model work
+860,860,Is Word2Vec supervised or unsupervised
+861,861,What is disparate treatment discrimination and how is it proved
+862,862,What is a disparate impact analysis
+863,863,How is validation accuracy calculated
+864,864,What does it mean when you are multimodal
+865,865,Are histograms univariate
+866,866,What does univariate mean
+867,867,When would you use a neural network
+868,868,What is regression neural network
+869,869,How is neural network different from linear regression
+870,870,Why regression is used in machine learning
+871,871,Can SVM for multiclass classification
+872,872,What is multiclass SVM
+873,873,What is the Kolmogorov Smirnov test used for
+874,874,What is a good KS score
+875,875,What is KS test p value
+876,876,How do you test for nonlinear correlation
+877,877,What is a non linear correlation
+878,878,How do you know if data is linear or nonlinear
+879,879,How Kalman filter is implemented in Arduino
+880,880,What are the 2 types of statistics
+881,881,What is difference between descriptive and inferential statistics
+882,882,What are the two types of statistics quizlet
+883,883,What is pre pruning and post pruning approach in decision tree model
+884,884,What is low dimensional data
+885,885,How do you deal with high dimensional data
+886,886,What is a dimension in machine learning
+887,887,What is concept learning
+888,888,What do you mean by Concept Learning in machine learning
+889,889,What is the difference between simple mean and weighted mean
+890,890,What is a discrete probability distribution
+891,891,What is the difference between discrete and continuous
+892,892,What is a continuous probability distribution
+893,893,What is the difference between the probability distribution of a discrete random variable and that of a continuous random variable select each correct answer
+894,894,What is another word for ensemble
+895,895,What do you mean by dummy variable
+896,896,Is age a dummy variable
+897,897,How many dummy variables are there
+898,898,What is a private label example
+899,899,What are the two main types of error in machine learning models
+900,900,How do you calculate classification error
+901,901,How do you measure accuracy in classification
+902,902,What is the difference between cross sectional and time series data
+903,903,What is a time series analysis
+904,904,What is cross sectional ratio
+905,905,What is cross sectional analysis in accounting
+906,906,Is correlation necessary for regression
+907,907,When should you use regression analysis
+908,908,Can you use correlation to predict
+909,909,Are correlation and linear regression the same
+910,910,Is Jordan network a recurrent neural network
+911,911,Why Bayes theorem is important in machine learning
+912,912,What is Bayes learning
+913,913,On which of the mentioned points is the Bayesian theorem reasonable to apply
+914,914,Why do we need to prune a decision tree explain the two pruning method
+915,915,How do you evaluate a decision tree
+916,916,How long does it take to learn probability
+917,917,How do you get good at probability
+918,918,What grade do you learn probability
+919,919,How do you express probability
+920,920,When should I stop deep learning training
+921,921,Why is deep learning taking off
+922,922,What characteristic does deep learning have that traditional machine learning does not
+923,923,What is Kappa statistics in accuracy assessment
+924,924,What does kappa score mean
+925,925,What is Kappa in cross validation
+926,926,Can neural network work with dependent continuous variable
+927,927,Are neural networks continuous
+928,928,How do you call the process of predicting a continuous value
+929,929,What is the use of exponential moving average
+930,930,What are biased and unbiased samples
+931,931,What is the difference between biased and random sample
+932,932,What is ROC curve threshold
+933,933,What is threshold in logistic regression
+934,934,Why SVM does often obtain more accurate performance than logistic regression
+935,935,How is SVM different from logistic regression
+936,936,How does SVM improve accuracy
+937,937,Why is image unstructured data
+938,938,Which of the following is not structured data
+939,939,What is the difference between descriptive and inferential statistics with examples
+940,940,What is the difference between descriptive statistics and inferential statistics
+941,941,What are two examples of inferential statistics
+942,942,What is the difference between descriptive and analytical statistics
+943,943,How do you evaluate classification
+944,944,What is a binary classification model
+945,945,How do you train binary classifier
+946,946,What is logistic regression good for
+947,947,What are the advantages of regression analysis
+948,948,Why logistic regression is better than linear
+949,949,What is difference between data science and data analytics
+950,950,Is test statistic the same as Z score
+951,951,How do you use test statistic
+952,952,What is a bad Gini coefficient
+953,953,Why is the Gini ratio a popular measure of inequality What are the weaknesses
+954,954,What is p value in KS test
+955,955,How do you read a KS test
+956,956,What is null hypothesis for normality test
+957,957,Is root mean square the same as average
+958,958,What are the classification techniques in data mining
+959,959,What is T value and p value in regression
+960,960,What is recall vs precision
+961,961,What is a good recall score
+962,962,What is the difference between continuous and discrete
+963,963,What is variable difference between discrete and continuous variable
+964,964,What would be an example of a continuous variable
+965,965,What is Laplacian operator in image processing
+966,966,Is Laplacian filter a low pass filter
+967,967,Which of these is a benefit of batch normalization
+968,968,Why is the law of large numbers an important concept in probability and statistics
+969,969,Why is the law of large numbers Important Be sure to include how it relates to experimental and theoretical probability and why we Cannot just use theoretical probability all of the time
+970,970,What is the law of large numbers and does it change your thoughts about what will occur on the next toss
+971,971,How can data be misrepresented
+972,972,What is your definition of misleading data
+973,973,What is gradient in neural network
+974,974,What is gradient checking for
+975,975,How many algorithms are there in machine learning
+976,976,Which algorithm is best for machine learning
+977,977,What is chi square test for association
+978,978,What do you mean by moments
+979,979,Why is it called moment
+980,980,What is meant by reliability of a test
+981,981,How do you determine reliability of a test
+982,982,Why a test should be reliable
+983,983,What does IID mean in statistics
+984,984,What does it mean to be IID
+985,985,What does sample covariance tell you
+986,986,How do you find the sample covariance
+987,987,What does Covariance number mean
+988,988,Which learning algorithm is used for clustering
+989,989,Is K means clustering popular
+990,990,What type of model is a linear model
+991,991,What I know about linear model
+992,992,How does a linear model work
+993,993,What are the assumptions of ordinary least square
+994,994,Which is an assumption of least squares regression
+995,995,What are the three assumptions that underlie a least squares regression
+996,996,What assumptions do you make when using the method of least squares to estimate a population regression line
+997,997,What are dummy variables in econometrics
+998,998,What is the difference between convolution and pooling
+999,999,What is pooling layer and convolution
+1000,1000,What is pooling in CNN
+1001,1001,What does convolution mean
+1002,1002,What is deep learning and its types
+1003,1003,Why is deep learning important
+1004,1004,How is false positive rate defined
+1005,1005,How do you calculate false positive probability
+1006,1006,What is the difference between likelihood and probability
+1007,1007,What is prior probability and likelihood
+1008,1008,How do you minimize selection bias in a cross sectional study
+1009,1009,What is KNN algorithm used for
+1010,1010,What is Knn machine learning
+1011,1011,What is KNN and SVM
+1012,1012,What is fixed and random effect model
+1013,1013,What does a random effects model do
+1014,1014,Is gender a fixed or random effect
+1015,1015,What does a KS test show
+1016,1016,Why is KS test used
+1017,1017,What are unsupervised learning techniques
+1018,1018,Which of these are forms of unsupervised learning
+1019,1019,Which of the following are examples of unsupervised learning
+1020,1020,What does log to the base 2 mean
+1021,1021,How do you prove probabilities
+1022,1022,How do you solve a conditional probability problem
+1023,1023,How do you know if you have PA or B
+1024,1024,What is model in machine learning
+1025,1025,What does model refers to in ML
+1026,1026,What are the two types of hierarchical clustering algorithms
+1027,1027,What is hierarchical clustering What are the types of hierarchical clustering
+1028,1028,What is DNN and CNN
+1029,1029,What do you mean by SDLC and its phases
+1030,1030,What is decision tree and discuss the use of decision tree for classification purpose with an example
+1031,1031,What are decision trees used for
+1032,1032,What is the purpose of mean median and mode
+1033,1033,Which one is unsupervised learning method
+1034,1034,How do you improve the accuracy of a model
+1035,1035,How can neural network accuracy be improved
+1036,1036,What is accuracy in CNN
+1037,1037,Which search method is used in Minimax algorithm Mcq
+1038,1038,What is the Mini Max search technique
+1039,1039,Why Alpha Beta approach is better than MIN MAX search give reason
+1040,1040,What is intelligence and artificial intelligence
+1041,1041,What is chi squared likelihood
+1042,1042,Do you reject the null hypothesis at the 0.05 significance level
+1043,1043,Do you reject or fail to reject Upper H 0 at the 0.05 level of significance
+1044,1044,How do you know if you reject or fail to reject the null hypothesis
+1045,1045,When should you reject the null hypothesis h0
+1046,1046,What does it mean when data is normally distributed
+1047,1047,Why does normal distribution occur
+1048,1048,What is required for data to be normally distributed
+1049,1049,Why is area under ROC curve Auroc better than raw accuracy as an out of sample evaluation metric
+1050,1050,Is cosine similarity a distance metric
+1051,1051,What is the range of cosine similarity
+1052,1052,How do you interpret cosine distance
+1053,1053,Why use cosine similarity instead of Euclidean distance
+1054,1054,What do you mean by ensemble methods
+1055,1055,What are the ensemble methods of classification explain
+1056,1056,How do you find the prior probability
+1057,1057,What is prior probability and posterior probability
+1058,1058,What are the prior and posterior probabilities in the context of the Bayes Theorem
+1059,1059,What is the difference between the likelihood and the posterior probability
+1060,1060,What is mean variance and standard deviation
+1061,1061,What does standard deviation mean
+1062,1062,How is SD calculated
+1063,1063,What is Bayesian methods for data analysis
+1064,1064,What is the essence of Bayesian data analysis
+1065,1065,What is the difference between combination and permutation
+1066,1066,What is permutation in statistics
+1067,1067,What is the meaning of autoregressive
+1068,1068,What is ARMA time series
+1069,1069,What does a correlation coefficient of .8 mean
+1070,1070,What does a correlation coefficient of 0.7 mean
+1071,1071,How do you find the mean of an exponential distribution
+1072,1072,What is the mean of an exponential distribution
+1073,1073,What is the mean and variance of exponential distribution
+1074,1074,What is the variance of exponential distribution
+1075,1075,What is difference between RNN and Lstm
+1076,1076,Can we use sigmoid for multiclass classification
+1077,1077,How do you know if it is one or two tailed
+1078,1078,Why is mean median mode and range important
+1079,1079,What does mean median mode tell us
+1080,1080,What is the purpose of median
+1081,1081,What is the use of mean and median
+1082,1082,What is likelihood maximization
+1083,1083,What is the maximum likelihood principle
+1084,1084,What likelihood means
+1085,1085,What is the purpose of a Wilcoxon signed rank test
+1086,1086,How do you use the Wilcoxon signed rank test
+1087,1087,Can Tableau be used for predictive analytics
+1088,1088,What tools are used for predictive analytics
+1089,1089,What industries use predictive analytics
+1090,1090,What statistical measures do sensitivity and specificity evaluate
+1091,1091,What is difference between PDF and CDF
+1092,1092,How do you calculate CDF from PDF
+1093,1093,How do you find probability using CDF
+1094,1094,What is the difference between binomial and geometric
+1095,1095,What is negative binomial distribution in relation to geometric distribution
+1096,1096,What is the difference between binomial distribution and negative binomial distribution
+1097,1097,What is a good correlation score
+1098,1098,What does a correlation of 0.7 mean
+1099,1099,Is .05 a strong correlation
+1100,1100,How do you interpret gamma statistics
+1101,1101,What does gamma mean in statistics
+1102,1102,What does a Lambda of 0 mean
+1103,1103,How is classification different from regression
+1104,1104,Where do we use regression and classification
+1105,1105,What type of relation is regression
+1106,1106,What is Apriori algorithm in data mining
+1107,1107,What is CTT and IRT
+1108,1108,What is item characteristic curve
+1109,1109,Is the statement all two layer network can represent an XOR function correct
+1110,1110,What is a two layer neural network
+1111,1111,Why XOR is not linearly separable
+1112,1112,Why are networks so powerful
+1113,1113,Why are neural networks so good
+1114,1114,Why is deep learning so powerful
+1115,1115,Why is coefficient of variation useful
+1116,1116,What is the most useful measure of variation
+1117,1117,What is a model in machine learning
+1118,1118,What is train model and test model
+1119,1119,What is training data in ML
+1120,1120,How will artificial intelligence change society
+1121,1121,How can AI improve the world
+1122,1122,How is Artificial Intelligence helping us today
+1123,1123,Does Multicollinearity affect random forest
+1124,1124,Are decision trees affected by outliers
+1125,1125,What is Fourier Transform and its applications
+1126,1126,What is Fourier transform and its properties
+1127,1127,Is Arma a linear model
+1128,1128,What is AR and MA
+1129,1129,Why is Collinearity bad
+1130,1130,What problems do Multicollinearity cause
+1131,1131,How does cross entropy loss work
+1132,1132,What is loss function Why do we use it
+1133,1133,How do you derive the Bellman equation
+1134,1134,What is Bellman operator
+1135,1135,Is clustering a supervised classification
+1136,1136,Is K means clustering supervised
+1137,1137,What are different types of clustering
+1138,1138,How is precision recall curve calculated
+1139,1139,What does a good precision recall curve look like
+1140,1140,What can you say about the precision recall PR curve
+1141,1141,How do you make a ROC curve
+1142,1142,Can logistic regression be used for multiclass classification
+1143,1143,How is the sampling distribution different from the distribution of values in the sample and the distribution of values in the population
+1144,1144,What is the difference between sampling and sample
+1145,1145,What is the mean of the sampling distribution of the difference in sample proportions
+1146,1146,Is the trace of a matrix a linear transformation
+1147,1147,Why do we calculate average
+1148,1148,What is categorical cross entropy
+1149,1149,What causes Overfitting
+1150,1150,How do you avoid overfitting in a decision tree
+1151,1151,Is decision tree prone to overfitting
+1152,1152,What causes random forest to Overfit the data
+1153,1153,Is Big Data a part of data analytics
+1154,1154,What is neural network and how it works
+1155,1155,How are Likert scale results calculated
+1156,1156,How do you calculate weighted average Likert scale
+1157,1157,Why should we do asymptotic analysis of algorithms
+1158,1158,How do you analyze the efficiency of an algorithm
+1159,1159,Why is MSE bad for classification
+1160,1160,What is RMSE in machine learning
+1161,1161,How is backpropagation calculated
+1162,1162,How do we calculate the gradient for back propagation
+1163,1163,What is back propagation in ML
+1164,1164,What are the results that we get after we apply Bayesian theorem to a problem
+1165,1165,Is Bayes theorem conditional probability
+1166,1166,What does ROC curve represent
+1167,1167,How do you interpret a ROC curve in logistic regression
+1168,1168,How do you find the threshold of a ROC curve
+1169,1169,How do you evaluate a machine learning algorithm
+1170,1170,How are algorithms evaluated
+1171,1171,What is a good technique to evaluate the performance of a learning algorithm
+1172,1172,Can you use linear regression categorical data
+1173,1173,Which data is most suitable for linear regression
+1174,1174,What statistical analysis is used for ordinal data
+1175,1175,Is naive Bayes a non linear classifier
+1176,1176,Is linear regression and least squares the same thing
+1177,1177,Are least squares linear
+1178,1178,What is difference between mean and standard deviation
+1179,1179,When should you use mean and standard deviation
+1180,1180,What's the difference between deviation and standard deviation
+1181,1181,Is artificial neural network machine learning
+1182,1182,How long does it take to learn neural networks
+1183,1183,What are the types of bias in research
+1184,1184,What does RBM stand for
+1185,1185,What is batch size in training
+1186,1186,What are the similarities between descriptive and inferential statistics
+1187,1187,What is the information gain and how does it work in decision trees
+1188,1188,What is the disadvantage of using information gain as splitting criteria
+1189,1189,What do we call Y in a regression equation
+1190,1190,What is Y in regression analysis
+1191,1191,What do the values in the regression equation mean
+1192,1192,What is alpha and beta in regression
+1193,1193,What is the logit in logistic regression
+1194,1194,What is logistic regression cost function
+1195,1195,What is the difference between the cost function and the loss function for logistic regression
+1196,1196,How do I use LSI keywords
+1197,1197,Which tool is famous to extract LSI keywords
+1198,1198,Can DFS be used to find shortest path
+1199,1199,How do you find the function of random variables in a PDF
+1200,1200,What are the important properties of a random variable
+1201,1201,What is Artificial Intelligence exactly
+1202,1202,What is N in median
+1203,1203,What is the median of 2
+1204,1204,What is the formula for the median
+1205,1205,What does it mean to interpret a confidence interval
+1206,1206,What is a confidence interval How might it help you interpret and understand the results of statistical analysis
+1207,1207,What is a good confidence interval range
+1208,1208,When should multi task learning be used
+1209,1209,Where do we use the concept of multitasking
+1210,1210,What is auxiliary loss
+1211,1211,Can Anova be used for non normal data
+1212,1212,Is Anova a parametric or nonparametric test
+1213,1213,What is the appropriate test for non parametric data
+1214,1214,What is filter number in CNN
+1215,1215,What filter size means
+1216,1216,What is the filter in convolutional neural network
+1217,1217,What is the best learning style explain your answer
+1218,1218,What are the different types of searching techniques
+1219,1219,Which of the following about interpolation search is true
+1220,1220,How can you tell if a chain is Markov
+1221,1221,Is SVM used only for binary classification
+1222,1222,What is binary classification in machine learning
+1223,1223,Which of the algorithm is used for predicting & classification
+1224,1224,What is considered a continuous variable
+1225,1225,Which of the following are examples of continuous variables
+1226,1226,What is an example of an experimental group
+1227,1227,What is an experimental definition
+1228,1228,What is an experimental variable
+1229,1229,What are the two experimental groups
+1230,1230,Which network are most suitable for image processing
+1231,1231,How neural networks train images
+1232,1232,Why is a sample survey better than a census
+1233,1233,What is Type 2 error
+1234,1234,What does a negatively skewed distribution mean
+1235,1235,What happens to the mean when a distribution is skewed
+1236,1236,What does it mean when a distribution is skewed to the right
+1237,1237,How do you determine sample size in stratified sampling
+1238,1238,Which of the following is an example of stratified random sampling
+1239,1239,What is stratified simple random sampling
+1240,1240,What is the mean average precision
+1241,1241,What is average precision in object detection
+1242,1242,What is average recall
+1243,1243,What does deep learning include
+1244,1244,What are the types of transfer learning
+1245,1245,What is measurement error
+1246,1246,What are 3 sources of measurement error
+1247,1247,What are the four major sources of measurement error
+1248,1248,Is Loss Function same as cost function
+1249,1249,What is a loss function in machine learning
+1250,1250,What is negative spatial autocorrelation
+1251,1251,How is spatial autocorrelation important
+1252,1252,What is spatial autocorrelation GIS
+1253,1253,What is AI ml and deep learning
+1254,1254,What is tokenization in NLTK
+1255,1255,How was AlphaZero trained
+1256,1256,Is AlphaGo a reinforcement learning
+1257,1257,Who created alpha go
+1258,1258,What is backward regression
+1259,1259,What is the purpose of stepwise regression
+1260,1260,What is spatial invariance
+1261,1261,Why is CNN invariant
+1262,1262,Is CNN rotation invariant
+1263,1263,What is the significance of separating your original dataset for training testing and validation
+1264,1264,When should you split data
+1265,1265,Why is Perceptron learning required
+1266,1266,What class of functions can be learned by a Perceptron
+1267,1267,Is NMF a machine learning
+1268,1268,What is NMF
+1269,1269,Is a matrix A linear operator
+1270,1270,How do you find the linear operator of a matrix
+1271,1271,What is linear operator with examples
+1272,1272,What is the formula for percentile
+1273,1273,How do you calculate linear regression using least square method
+1274,1274,What are the purposes of prescriptive analytics
+1275,1275,What are the four primary aspects of predictive analytics
+1276,1276,What is predictive analytics and how does it work
+1277,1277,How do you use predictive analytics
+1278,1278,What is first order Markov process
+1279,1279,What is the concept of convolution
+1280,1280,What is convolution and its properties
+1281,1281,What is the convolution of a function with itself
+1282,1282,What is the purpose of bivariate correlation
+1283,1283,What do bivariate correlations tell us
+1284,1284,What is the meaning of bivariate
+1285,1285,How do you do quota sampling
+1286,1286,How do you calculate Altman Z score
+1287,1287,How is Z score calculated
+1288,1288,What does a high Altman Z score mean
+1289,1289,How do you find the mean value in statistics
+1290,1290,Where are Kalman filters used
+1291,1291,What is Kalman filter in image processing
+1292,1292,What is Kalman smoothing
+1293,1293,What are the advantages of a randomized controlled trial
+1294,1294,What does randomized controlled trial mean
+1295,1295,What is the strength of a randomized trial
+1296,1296,What is the relationship between sensitivity and specificity
+1297,1297,Is machine learning based on statistics
+1298,1298,Is fastText a neural network
+1299,1299,How do you use quota sampling
+1300,1300,What is inverted file in information retrieval
+1301,1301,When should you use an inverted index to search text
+1302,1302,What does the interaction term tell you
+1303,1303,What is an interaction term in statistics
+1304,1304,How do you create an interaction term
+1305,1305,How do you interpret an interaction plot
+1306,1306,Is K means a classification algorithm
+1307,1307,What is formed by K means algorithm
+1308,1308,What is the purpose of statistical inferences quizlet
+1309,1309,What is the benefit of using inferential statistics
+1310,1310,What is the base rate fallacy psychology
+1311,1311,What is meant by non parametric
+1312,1312,What does parametric mean
+1313,1313,Are Type 1 and Type 2 errors independent events
+1314,1314,How does stratified analysis control for confounding
+1315,1315,Why do we stratify data
+1316,1316,Which is the best models used in Word2Vec algorithm for words embedding
+1317,1317,Which of the following models learn the word embeds based on the co occurrence of the words in the corpus
+1318,1318,How do you use Bayesian analysis
+1319,1319,What does Kappa mean statistics
+1320,1320,What is kappa value in MSA
+1321,1321,What are perceptrons in machine learning
+1322,1322,What is linear neuron
+1323,1323,How can genetic algorithms be used to train neural networks
+1324,1324,How do you find the distance between two clusters
+1325,1325,What is distance in clustering
+1326,1326,What is the meaning of convolutional
+1327,1327,How does learning occur in a connectionist model
+1328,1328,What is the connectionist model of memory
+1329,1329,What does unbiased mean in statistics
+1330,1330,Is decision tree a predictive model
+1331,1331,How do you use random forest to predict
+1332,1332,How do mixed effects models work
+1333,1333,What is a mixed model analysis
+1334,1334,What are random effects in mixed models
+1335,1335,Is color a quantitative variable
+1336,1336,What can big data be used for
+1337,1337,What are the problems with big data
+1338,1338,When would you use a regression model
+1339,1339,What is an example of false dichotomy
+1340,1340,How do you predict linear regression
+1341,1341,How do you find the predicted value
+1342,1342,How do you predict a value in a linear regression in Excel
+1343,1343,Why is it called harmonic mean
+1344,1344,What does binomial distribution mean
+1345,1345,What qualifies as a probability distribution
+1346,1346,What is discrete distribution
+1347,1347,Is 0.00 statistically significant
+1348,1348,What is the test statistic in at test
+1349,1349,What's the difference between correlation and correlation coefficient
+1350,1350,What does Chebyshev's theorem tell us
+1351,1351,Can chebyshev theorem be negative
+1352,1352,What is an example of ingroup bias
+1353,1353,What causes ingroup bias
+1354,1354,What is the in group out group phenomenon
+1355,1355,Can a sampling frame be larger than population
+1356,1356,What is data science and analytics course
+1357,1357,What is the difference between frequency and relative frequency
+1358,1358,What is the difference between frequency table and frequency distribution table
+1359,1359,What is relative frequency example
+1360,1360,How do you calculate bias in regression
+1361,1361,What is bias in logistic regression
+1362,1362,What is the formula for logistic regression
+1363,1363,What is the importance of Bayes Theorem in decision making
+1364,1364,How do you find optimal decisions
+1365,1365,What pipeline means
+1366,1366,What is AI pipeline
+1367,1367,What is the null hypothesis for a two tailed test
+1368,1368,How do you write a two tailed hypothesis
+1369,1369,What is the alternative hypothesis that is being tested
+1370,1370,How do you know if an alternative hypothesis is one or two sided
+1371,1371,How do you know if variables are independent
+1372,1372,How do you know if events are independent or dependent
+1373,1373,What does the dependent variable mean
+1374,1374,Does Multicollinearity affect clustering
+1375,1375,How do you evaluate clustering results
+1376,1376,What is the outcome of K means clustering
+1377,1377,Why can a histogram be misleading
+1378,1378,What are the advantages and disadvantages of using a dot plot versus a histogram to display data
+1379,1379,What is the role of knowledge in artificial intelligence
+1380,1380,Can chi square be negative
+1381,1381,How is sample size determined
+1382,1382,How does bootstrap sampling work
+1383,1383,Why should a bootstrap sample be the same size as your original sample
+1384,1384,What source of bias is self selection
+1385,1385,How do you treat categorical variables
+1386,1386,Can linear regression have categorical variables
+1387,1387,How do you handle categorical missing values
+1388,1388,How do you deal with dummy variables in regression
+1389,1389,Why does correlation not imply causation example
+1390,1390,Why is it important to know the difference between correlation and causation
+1391,1391,Does Association imply causation Why or why not
+1392,1392,What is training Loss and Validation loss
+1393,1393,How can training loss be reduced
+1394,1394,What is the difference between loss and accuracy
+1395,1395,How do you analyze Likert scale data
+1396,1396,What statistical test do you use for Likert scale
+1397,1397,How do you analyze Likert scale data in SPSS
+1398,1398,How many steps are involved in systematic random sampling
+1399,1399,What is systematic sampling procedure
+1400,1400,What are the steps of sampling
+1401,1401,What are examples of statistical methods
+1402,1402,What is a discrete distribution
+1403,1403,What is a continuous distribution
+1404,1404,How do you know if a distribution is discrete
+1405,1405,What is discrete distribution function
+1406,1406,Can absolute extrema be local extrema
+1407,1407,Can a function have absolute extreme values but not local extreme values
+1408,1408,What is the formula of binomial
+1409,1409,How do you do binomial theorem probability
+1410,1410,Is the year a quantitative variable
+1411,1411,Is AR 1 a Markov process
+1412,1412,Which sampling distribution should be used and why
+1413,1413,What are the types of sampling distribution
+1414,1414,How do you use sampling distribution
+1415,1415,How do you find the similarity between two strings
+1416,1416,How do you find the common element in two strings in python
+1417,1417,Can we compare two strings in python
+1418,1418,Does sample size affect R value
+1419,1419,Does sample size affect correlation coefficient
+1420,1420,What affects r squared
+1421,1421,How does sample size affect regression
+1422,1422,What is R Squared in Regression
+1423,1423,What is the difference between R and R Squared in Regression
+1424,1424,When geometric mean is preferred to arithmetic mean
+1425,1425,What is C in SVC
+1426,1426,Is Gamma a C
+1427,1427,What does a high value of gamma signify in SVM with RBF kernel
+1428,1428,How do you find the normal distribution
+1429,1429,What does median value mean
+1430,1430,What is median in statistics with example
+1431,1431,What is the difference between median and average
+1432,1432,What is a factorial and what is its purpose
+1433,1433,What does factorial mean in statistics
+1434,1434,How do you work out Factorials
+1435,1435,How does Bayesian network answer your query
+1436,1436,What is ridge regression and Lasso regression
+1437,1437,How does Lasso differ from ridge regression multiple options may be correct
+1438,1438,Is lasso linear regression
+1439,1439,What is Lasso regression used for
+1440,1440,How do you interpret residuals in linear regression
+1441,1441,What does it mean if the residual plot is linear
+1442,1442,How do you interpret the residual vs fitted value curve
+1443,1443,How do you interpret a normal PP plot of regression standardized residual
+1444,1444,How many neurons are in deep learning
+1445,1445,What does it mean to have a false positive and a false negative COVID-19 test result
+1446,1446,How does a confusion matrix work
+1447,1447,What is confusion matrix with example
+1448,1448,Which machine learning algorithm should I use
+1449,1449,What are the criteria to choose the best algorithm for a problem
+1450,1450,What does a goodness of fit test tell you
+1451,1451,What information is learned by conducting a chi square test
+1452,1452,What type of data can be examined using the chi square test
+1453,1453,How do you interpret linear mixed effects models
+1454,1454,What is general linear model used for
+1455,1455,Is the cross product the normal vector
+1456,1456,Is the cross product of two vectors a vector
+1457,1457,How do you find the normal vector
+1458,1458,What is dependent variable in regression
+1459,1459,How many dependent variables are used in multiple regression
+1460,1460,Which variable is the dependent variable
+1461,1461,What are the variables in multiple regression
+1462,1462,Why Multilayer Perceptron is used
+1463,1463,What is MLP in deep learning
+1464,1464,What is the concept of binary search
+1465,1465,What is binary search algorithm with example
+1466,1466,What are the four steps of a binary search algorithm
+1467,1467,How do I prove Am inequality GM
+1468,1468,How do you augment image data
+1469,1469,What is Multiple logistic regression used for
+1470,1470,What is the difference between systematic and stratified sampling
+1471,1471,How do you tell if a distribution is approximately normal
+1472,1472,What is the approximate distribution of the sample mean
+1473,1473,Why is the sampling distribution approximately normal
+1474,1474,How do you know if a sample is approximately normal
+1475,1475,What is the difference between descriptive and predictive
+1476,1476,Is machine learning predictive or prescriptive
+1477,1477,What is machine learning explain predictive and descriptive data mining techniques
+1478,1478,What are the key tasks of machine learning
+1479,1479,Which activation function is used for classification
+1480,1480,Can ReLU be used for classification
+1481,1481,Which activation function is used for multiclass classification
+1482,1482,Why is sigmoid used for binary classification
+1483,1483,How do you know which data is more consistent
+1484,1484,How do you test for consistency
+1485,1485,What indicates degree of consistency in data
+1486,1486,What is meant by consistency of data
+1487,1487,What does test statistic mean
+1488,1488,Is t value the same as test statistic
+1489,1489,What does lowering learning rate in gradient descent leads to
+1490,1490,What is gradient descent optimization
+1491,1491,What is a cost function in gradient descent optimization
+1492,1492,How do you find the variance of an estimator
+1493,1493,What is the variance of the estimate
+1494,1494,What is the uniform distribution in statistics
+1495,1495,What does it mean if an experiment follows a uniform distribution
+1496,1496,How do you test uniform distribution
+1497,1497,What is another word for optimize
+1498,1498,What I think the word is optimize
+1499,1499,What is a disadvantage of Nat
+1500,1500,Which of the following are 3 disadvantages of using NAT
+1501,1501,What are the two benefits of using NAT
+1502,1502,What is residual block in CNN
+1503,1503,How AI and robotics are related
+1504,1504,What is robotics in AI
+1505,1505,Is AI or robotics better
+1506,1506,What is converse and inverse
+1507,1507,How do you remember inverse converse Contrapositive
+1508,1508,Why is it called Student's t test
+1509,1509,What is backward chaining in expert system
+1510,1510,What is image recognition algorithm
+1511,1511,What is face recognition in image processing
+1512,1512,What is a good accuracy for decision tree
+1513,1513,How do you measure accuracy in machine learning
+1514,1514,What is depth in decision tree
+1515,1515,What is the output of decision tree
+1516,1516,What is not artificial intelligence
+1517,1517,Has artificial intelligence proved to be
+1518,1518,What is the main difference between classification and clustering
+1519,1519,Where can we use clustering
+1520,1520,What is a sample in statistics example
+1521,1521,What is population sampling
+1522,1522,What is the difference between a population mean and a sample mean
+1523,1523,Whats is a sample
+1524,1524,What is NMF in machine learning
+1525,1525,Is NMF a linear model
+1526,1526,How do algorithms work in social media
+1527,1527,What is meant by distribution in statistics
+1528,1528,Which algorithms handle outliers
+1529,1529,Which clustering method is most suitable to find outliers
+1530,1530,Which machine learning technique that helps in detecting the outliers in data
+1531,1531,What is the difference between a Perceptron and a neural network
+1532,1532,What is Perceptron model in neural network
+1533,1533,What is pseudo randomization
+1534,1534,What does quasi random mean
+1535,1535,How does pseudo random work
+1536,1536,What is alpha and beta in gamma distribution
+1537,1537,Which one is a random variable
+1538,1538,Is e x The mean
+1539,1539,What does P and Q mean in logic
+1540,1540,Which is logically equivalent to P ↔ Q
+1541,1541,How do metaphors effect the reader
+1542,1542,What is the importance of bias in a machine learning model
+1543,1543,What does a confusion matrix tell you
+1544,1544,Why is it called confusion matrix
+1545,1545,What does AB testing mean
+1546,1546,What is AB testing in Facebook
+1547,1547,What does heterogeneous mean in statistics
+1548,1548,What are the four rules of probability
+1549,1549,What are the rules of probability in statistics
+1550,1550,What are the rules of probability distribution
+1551,1551,Which is better Lemmatization vs stemming
+1552,1552,How do you determine if there is a linear relationship between two variables
+1553,1553,How do you find the linear relationship
+1554,1554,Do the two variables have a linear relationship
+1555,1555,How do you compare sample mean and population mean
+1556,1556,What is a sample mean
+1557,1557,How does sample size affect population mean
+1558,1558,What is the difference between AR and MA time series models
+1559,1559,What does a negative coefficient of determination mean
+1560,1560,Can R2 values be negative
+1561,1561,What does it mean when adjusted R squared in negative
+1562,1562,How do you solve gradient descent
+1563,1563,What is gradient descent formula
+1564,1564,What is gradient descent problem
+1565,1565,Which is an example of gradient descent algorithm
+1566,1566,What is Epsilon in deep learning
+1567,1567,What is Epsilon in machine learning
+1568,1568,What is Q value in Q learning
+1569,1569,Is Q learning greedy
+1570,1570,How do you find the test statistic for a linear correlation
+1571,1571,How do you determine a test statistic
+1572,1572,How do you know if a regression is statistically significant
+1573,1573,How do you test a linear regression model
+1574,1574,What is applicability of association rules in R
+1575,1575,What is association rule with example
+1576,1576,What are the applications of association rule mining
+1577,1577,What are the types of probability distribution
+1578,1578,Is a probability distribution a theoretical distribution
+1579,1579,Is probability density the same as probability distribution
+1580,1580,What is confidence interval in hypothesis testing
+1581,1581,What is confidence interval method
+1582,1582,Which is better a hypothesis test or a confidence interval
+1583,1583,What is factor analysis in simple terms
+1584,1584,How do you interpret factor loading
+1585,1585,What are the applications of SVM
+1586,1586,Which of the following is unsupervised machine learning
+1587,1587,What is unsupervised machine learning used for
+1588,1588,What is unsupervised learning in AI
+1589,1589,Can we use logistic regression for classification of non linear data
+1590,1590,Can we perform multi class classification using logistic regression
+1591,1591,What is weight optimization
+1592,1592,What is the goal of reinforcement learning RL and how does it work choose all that apply
+1593,1593,What is the goal of reinforcement learning
+1594,1594,What is reinforcement learning & Why is it called so can we use reinforcement learning RL to detect facial emotions
+1595,1595,How do you do logistic regression in SAS
+1596,1596,What does Proc logistic do
+1597,1597,How do you explain logistic regression to a child
+1598,1598,What is the meaning of Gaussian error curve
+1599,1599,What is Gaussian theory
+1600,1600,What is Gaussian used for
+1601,1601,What is backwards elimination
+1602,1602,What is p value in feature selection
+1603,1603,What is naive Bayes text classification
+1604,1604,How do I use naive Bayes text data
+1605,1605,How do I calculate the standard error of the mean
+1606,1606,What do you learn in machine learning
+1607,1607,What have you learned about machine learning how is machine learning different from normal software development
+1608,1608,What does moving average mean
+1609,1609,Who invented moving averages
+1610,1610,What is moving average in time series
+1611,1611,What is AR and MA model
+1612,1612,What is Rasch measurement theory
+1613,1613,What is a Rausch unit
+1614,1614,How do you find the bin size on a histogram
+1615,1615,What is bin edges in histogram
+1616,1616,What is the activation function
+1617,1617,What is the activation function in regression
+1618,1618,What does Ljust mean in Python
+1619,1619,What is Rjust and Ljust in Python
+1620,1620,How do you know if two means are statistically different
+1621,1621,How do you determine if there is a statistical difference
+1622,1622,How do you compare two sample means
+1623,1623,Are neural networks supervised learning
+1624,1624,Are Deep Neural Networks supervised or unsupervised
+1625,1625,What type of machine learning is neural networks
+1626,1626,What is the relationship between a nerve and a neuron
+1627,1627,What do you mean by non probability sampling
+1628,1628,What is the example of non probability sampling
+1629,1629,What is probability and non probability sampling techniques
+1630,1630,How do you effectively visualize a data
+1631,1631,What is big data visualization
+1632,1632,What is reinforcement learning used for
+1633,1633,What is the reward in reinforcement learning
+1634,1634,What is percentile in normal distribution
+1635,1635,How do you find percentile with mean and standard deviation
+1636,1636,How do you find average precision
+1637,1637,What is average precision score
+1638,1638,Why is average precision used
+1639,1639,Why is nonlinearity important in neural networks
+1640,1640,What is linearity and non linearity in machine learning
+1641,1641,What is linear layer
+1642,1642,Which are the categories of concept learning
+1643,1643,How do you find residuals in regression
+1644,1644,What are residuals in multiple regression
+1645,1645,How do you find the residual value
+1646,1646,How do you find the residual on a TI 84
+1647,1647,How are outliers treated in machine learning
+1648,1648,How do you deal with outliers
+1649,1649,How do you remove outliers in ML
+1650,1650,What does a neural network actually predict
+1651,1651,When would you use a cluster sample
+1652,1652,Why is cluster sampling frequently used in practice
+1653,1653,What sampling design is most appropriate for cluster sampling
+1654,1654,Who cluster sampling method
+1655,1655,What do correlation results mean
+1656,1656,What is standardized normal distribution
+1657,1657,Why do we standardize data
+1658,1658,What is the disadvantage of calculating gradient with respect to every data point
+1659,1659,Does deep learning require a huge set of training data
+1660,1660,What is the role of gradient descent algorithm in the training of deep neural networks
+1661,1661,Why do we use gradient descent for machine learning problems
+1662,1662,What kind of problem can we solve using AI
+1663,1663,How can AI solve social problems
+1664,1664,What is the purpose of a Kruskal Wallis test
+1665,1665,How do you develop deep learning
+1666,1666,What is the purpose of range in statistics
+1667,1667,What does range of data mean
+1668,1668,What does the range mean in descriptive statistics
+1669,1669,What is the difference between chi square and Z test
+1670,1670,What is the bias variance tradeoff explain with an example
+1671,1671,Which is better for image classification
+1672,1672,What is object classification in image processing
+1673,1673,How do you identify an object
+1674,1674,What is random variation in statistics
+1675,1675,What is autonomous artificial intelligence
+1676,1676,What is single agent in artificial intelligence
+1677,1677,How do I calculate standard deviation
+1678,1678,What is the more robust estimate of spread
+1679,1679,Why do we use t test instead of Z test
+1680,1680,Do I use Z test or t test
+1681,1681,Why do we use t test
+1682,1682,What is the difference between t statistic and Z statistic
+1683,1683,Is reinforcement learning supervised or unsupervised
+1684,1684,How reinforcement learning is different from supervised and unsupervised learning
+1685,1685,How do you describe accuracy
+1686,1686,How do you define accuracy and precision
+1687,1687,How do you explain accuracy in results
+1688,1688,What is statistical power and why is it important
+1689,1689,What does a statistical power of 1 mean
+1690,1690,How do you determine statistical power
+1691,1691,What is the practical use of statistical power
+1692,1692,How much data do you need to run a regression
+1693,1693,How do you tell if a regression is a good fit
+1694,1694,Does sample size affect R 2
+1695,1695,What is an activation function in deep learning
+1696,1696,What are activation functions in neural networks
+1697,1697,What qualifies as an outlier in statistics
+1698,1698,Where is GLM () used
+1699,1699,What does general linear model mean
+1700,1700,What is machine learning deep learning
+1701,1701,What is AI vs Machine Learning vs deep learning
+1702,1702,What type of data is best for scatter plots
+1703,1703,What is the difference between SVM and logistic regression
+1704,1704,Can you use SVM for regression
+1705,1705,What does support vector machine do
+1706,1706,What is support vector regression SVR
+1707,1707,What is a property of the standard normal distribution
+1708,1708,What are the properties of the T distribution
+1709,1709,Which is not a characteristic of normal distribution
+1710,1710,What are distribution properties
+1711,1711,What is meant by gradient in deep learning
+1712,1712,What is the norm of two vectors
+1713,1713,What is lemmas in machine learning
+1714,1714,What is hazard probability
+1715,1715,How do you calculate hazard probability
+1716,1716,What is hazard survival analysis
+1717,1717,What is a good Kappa score
+1718,1718,Why is image processing used
+1719,1719,Why initialize a neural network with random weights
+1720,1720,Why do neural networks generalize
+1721,1721,What is the relationship between correlation coefficient and regression coefficient
+1722,1722,What is the relation between the correlation coefficient The slope of the regression line and Z scores
+1723,1723,What is the t test statistic and how is it interpreted
+1724,1724,What is difference between t test and Z test
+1725,1725,How do you avoid selection bias
+1726,1726,What does selection bias mean
+1727,1727,Why is it important to remove bias in the selection of things
+1728,1728,What is probability and Nonprobability sampling
+1729,1729,What is probability sampling explain its types
+1730,1730,Why is probability sampling better than Nonprobability sampling
+1731,1731,Is ridge regression linear regression
+1732,1732,How do you calculate overall accuracy from confusion matrix
+1733,1733,How accuracy is calculated
+1734,1734,What is a confusion matrix and how it is used to evaluate the effectiveness of the model
+1735,1735,What is convolutional neural network and how it works
+1736,1736,What is CNN in simple words
+1737,1737,Which part of a convolutional neural network is responsible for feature extraction
+1738,1738,Why do ensemble methods work
+1739,1739,How body parts can be used for measuring
+1740,1740,Which part of the body are used as units
+1741,1741,What does Y stand for in statistics
+1742,1742,What does Y with a line over it mean in statistics
+1743,1743,How do you find y in statistics
+1744,1744,How do you calculate y bar in regression
+1745,1745,What does it mean when sample results are statistically significant quizlet
+1746,1746,What does statistical significance mean how do you know if something is statistically significant What is the difference between statistical significance and practical significance
+1747,1747,How do you improve deep learning accuracy
+1748,1748,What does image annotation mean
+1749,1749,What does an image annotator do
+1750,1750,How do you annotate an image
+1751,1751,For what purpose is the F test used
+1752,1752,Why is the F statistic important
+1753,1753,Is the F distribution normal
+1754,1754,What does F value indicate
+1755,1755,What is logistic regression used for
+1756,1756,What are the characteristics of F distribution
+1757,1757,Why is the F distribution important in Anova
+1758,1758,How do you use f distribution in Anova
+1759,1759,What distribution does Anova use
+1760,1760,What is a bad coefficient of variation
+1761,1761,How do you compare coefficient of variation
+1762,1762,What is the Matrix and why does it exist
+1763,1763,Is linear regression same as least squares
+1764,1764,What is the meaning of least squares
+1765,1765,What is the C in SVM
+1766,1766,What is C SVC
+1767,1767,What happens to SVM when the value of c approaches positive infinity
+1768,1768,How does the SVM parameter C affect the bias variance trade off
+1769,1769,How do you know if a variable is independent
+1770,1770,What does backpropagation mean
+1771,1771,Why does backpropagation work in neural networks
+1772,1772,What is TensorFlow and keras used for
+1773,1773,How is geometric mean used in real life
+1774,1774,What is the difference between arithmetic and geometric mean
+1775,1775,What is considered normally distributed data
+1776,1776,What are the three things to check to see if your data has a normal distribution
+1777,1777,What does estimate mean in statistics
+1778,1778,Why do we estimate statistics
+1779,1779,What hypothesis do we test with an F distribution
+1780,1780,How do you reject the null hypothesis for an F test
+1781,1781,What is the null hypothesis for the omnibus F test in Anova
+1782,1782,What does a Gini coefficient mean
+1783,1783,What does a Gini coefficient of 0.6 mean
+1784,1784,How do you interpret the intercept
+1785,1785,What other methods are there for data smoothing
+1786,1786,Why exponential smoothing is used
+1787,1787,How do you choose a smoothing constant
+1788,1788,Where is digital image processing used
+1789,1789,How do you interpret linear regression
+1790,1790,What is disparate impact quizlet
+1791,1791,Why do we use discriminant analysis
+1792,1792,What is the difference between almost sure convergence and convergence in probability
+1793,1793,What does it mean to annotate an image
+1794,1794,How do you annotate data in machine learning
+1795,1795,How many variables are in a multiple regression
+1796,1796,Which are greedy algorithms
+1797,1797,Why it is called greedy algorithm
+1798,1798,What is meant by greedy algorithm and dynamic algorithm
+1799,1799,What is similarity in clustering
+1800,1800,How do you measure similarity between two clusters
+1801,1801,How do you create a cumulative distribution function
+1802,1802,What is cumulative distribution function in probability
+1803,1803,How do you validate a ML model
+1804,1804,How does a variational Autoencoder work
+1805,1805,What it means AI
+1806,1806,Is EFX a Cryptocurrency
+1807,1807,What is test set in machine learning
+1808,1808,What is usability testing and why you need it
+1809,1809,When should you do usability testing
+1810,1810,How do you test usability
+1811,1811,How do you know if r is statistically significant
+1812,1812,Is 2.52 A strong correlation coefficient
+1813,1813,How do neural networks learn patterns
+1814,1814,What is artificial neural network and how it is used in deep learning
+1815,1815,What are two methods used in exploratory data analysis explain with an example
+1816,1816,How do you determine outliers
+1817,1817,What determines if something is an outlier
+1818,1818,How do you define outliers
+1819,1819,What is TP in statistics
+1820,1820,What is FPR and TPR
+1821,1821,What is a conditional distribution in statistics
+1822,1822,Why is it called marginal distribution
+1823,1823,How do I get rid of Multicollinearity in R
+1824,1824,Can PCA solved Multicollinearity
+1825,1825,How do you deal with correlated features
+1826,1826,What are the advantages and disadvantages of dimensional analysis
+1827,1827,What is the purpose of using dimensional analysis
+1828,1828,What are the applications of dimensional method of analysis
+1829,1829,How do you find the variance of an independent random variable
+1830,1830,How do you find the variance of a variable
+1831,1831,How do you derive the variance formula
+1832,1832,What is linear mixed model analysis
+1833,1833,What is a model and why do we model
+1834,1834,How do you define a model
+1835,1835,What does geometric mean tell us
+1836,1836,What is geometric mean used for
+1837,1837,What is lasso and ridge regression
+1838,1838,How are Ridge and lasso regularization techniques different
+1839,1839,How do you describe a probability distribution
+1840,1840,What does a probability distribution indicate
+1841,1841,What is normal probability distribution
+1842,1842,When should you take linear algebra
+1843,1843,Should I learn linear algebra
+1844,1844,What should I learn before linear algebra
+1845,1845,What does Q mean in statistics
+1846,1846,What does the Q value mean
+1847,1847,How do you interpret Q statistics
+1848,1848,How do you find the Q value
+1849,1849,What is cross entropy of loss
+1850,1850,How does binary cross entropy loss work
+1851,1851,How is a machine learning model trained
+1852,1852,How long does it take to train a machine learning model
+1853,1853,Can Lasso regression be used for feature selection
+1854,1854,How do you find the binomial probability distribution
+1855,1855,What is the formula for probability distribution
+1856,1856,What is the binomial probability formula used for
+1857,1857,What is the importance of search algorithm in AI
+1858,1858,Why is search an important component of an AI system
+1859,1859,What is searching algorithm in AI
+1860,1860,Why is logit model superior to linear probability model
+1861,1861,What is the difference between linear and logistic regression
+1862,1862,What does a logit model do
+1863,1863,How do you know if a model is linear
+1864,1864,What are the two types of AI
+1865,1865,What is the difference between AI and IA
+1866,1866,How do you read a logarithmic scale
+1867,1867,What does a logarithmic scale tell you
+1868,1868,How do you read a log log plot
+1869,1869,What does exponential growth look like on a logarithmic scale
+1870,1870,How can I improve my neural network performance
+1871,1871,What is Skip gram model
+1872,1872,Which of the following model tries to predict the context words based on the target
+1873,1873,What is a box plot example
+1874,1874,How do you read box plots
+1875,1875,What are convolution layers
+1876,1876,What is CNN layer
+1877,1877,What is FCN neural network
+1878,1878,What is the purpose of convolution layer in CNN
+1879,1879,How do you find the class boundary
+1880,1880,What is the difference between a class boundary and a class limit
+1881,1881,Which algorithm uses backtracking
+1882,1882,Which data structure is used in backtracking based algorithms
+1883,1883,What is difference between recursion and backtracking
+1884,1884,Do I need to normalize data before neural network
+1885,1885,Why do we normalize data in neural network
+1886,1886,Is it necessary to normalize data
+1887,1887,Why normalization is necessary for machine learning
+1888,1888,What is quantization process
+1889,1889,How do you quantize an image
+1890,1890,How do you calculate quantization level
+1891,1891,What does a logarithmic scale mean
+1892,1892,How do you convert a linear scale to a logarithmic scale
+1893,1893,How is gamma calculated
+1894,1894,What does the gamma distribution model
+1895,1895,How do you calculate alpha and beta for gamma distribution in Excel
+1896,1896,How do you do predictive analysis
+1897,1897,What are the possible types of predictive models
+1898,1898,What do you mean by data representation
+1899,1899,What are the different types of data representation
+1900,1900,Why do we use data representation
+1901,1901,What are the advantages of using simple random sampling
+1902,1902,What are advantages and disadvantages of sampling
+1903,1903,What are the advantages and disadvantages of cluster sampling
+1904,1904,What does VC dimension measure
+1905,1905,How Natarajan dimension is related to VC dimension explain with example
+1906,1906,How do you tell if a function is a permutation
+1907,1907,What is the difference between regression and multiple regression
+1908,1908,Why is logistic regression better
+1909,1909,What is a scatter plot and how does it help us
+1910,1910,What is the definition of scatter plot
+1911,1911,How do you implement a TensorBoard
+1912,1912,What is a good cosine similarity score
+1913,1913,How is Jaccard similarity coefficient calculated
+1914,1914,What is Word2Vec trained on
+1915,1915,What are the components of Autoencoders
+1916,1916,What is variable and random variable
+1917,1917,What is random variable differentiate between two types of random variable
+1918,1918,Why is it called a random variable
+1919,1919,How do you use an ensemble model
+1920,1920,What are ensemble models explain how ensemble techniques yield better learning as compared to traditional classification ML algorithms
+1921,1921,Which is better SVM or neural network
+1922,1922,What is the difference between SVM and SVR
+1923,1923,What is the purpose of CNN
+1924,1924,Which type of applications uses CNN
+1925,1925,What are the primary applications of convolutional neural networks
+1926,1926,What is data Labelling in machine learning
+1927,1927,How do you label data
+1928,1928,Which learning approach is used for labeled data
+1929,1929,How do you find the rank difference between correlations
+1930,1930,How do you interpret a rank correlation
+1931,1931,What is the difference between Pearson and Spearman correlation
+1932,1932,Why TensorFlow is used in Python
+1933,1933,What is the difference between EMA and SMA
+1934,1934,What's the difference between EMA and MA
+1935,1935,What is linear and nonlinear models
+1936,1936,What makes a model non linear
+1937,1937,How do you know if something is linear or nonlinear
+1938,1938,What is maximum likelihood in logistic regression
+1939,1939,Why do we use maximum likelihood estimation in logistic regression
+1940,1940,What is a vector error correction model
+1941,1941,What is the difference between ECM and Vecm
+1942,1942,What is Vecm in econometrics
+1943,1943,Can we use K means clustering for supervised learning
+1944,1944,Is clustering supervised learning
+1945,1945,How do you use least squares regression to predict
+1946,1946,What does the least squares regression indicate
+1947,1947,What does the regression line predict
+1948,1948,What is memory based learning in neural network
+1949,1949,What is Randn Matlab
+1950,1950,How do you choose the best clustering method
+1951,1951,Is AlphaGo deep learning
+1952,1952,What type of AI is AlphaGo
+1953,1953,What algorithm does AlphaZero use
+1954,1954,What is confidence in association rule mining How do we calculate confidence
+1955,1955,What is confidence in Apriori algorithm
+1956,1956,Why do we need eigenvalues
+1957,1957,What is the purpose of eigenvectors
+1958,1958,What do eigenvalues tell us
+1959,1959,What do eigenvalues tell you about a matrix
+1960,1960,What is AI in engineering
+1961,1961,Is AI Engineering in demand
+1962,1962,Why does random forest perform better than the decision tree
+1963,1963,Why is random forest better than linear regression
+1964,1964,What is a spectral figure
+1965,1965,What is meant by the term spectral type
+1966,1966,What is constraint function
+1967,1967,What are two types of Optimisation
+1968,1968,What is the difference between AI and predictive analytics
+1969,1969,What is predictive analysis in machine learning
+1970,1970,What is the difference between forecasting and predictive analytics
+1971,1971,What is the combined probability of two independent events
+1972,1972,How do you do independent events in probability
+1973,1973,Why is a random variable a function
+1974,1974,What are the types of random variables
+1975,1975,How do you interpret a correlation coefficient
+1976,1976,How do you find the probability of overlapping events
+1977,1977,What is the formula for probability
+1978,1978,How do I learn linear algebra
+1979,1979,What are some examples of positive feedback
+1980,1980,What is an example of positive feedback loop
+1981,1981,Which type of operations are performed in Gauss elimination method
+1982,1982,What is Gaussian elimination used for
+1983,1983,What does it mean if a distribution is normal
+1984,1984,When we refer to a normal distribution does the word normal have the same meaning as in ordinary language or does it have a special meaning in statistics What exactly is a normal distribution
+1985,1985,What does a loss function do
+1986,1986,How do I start learning AI
+1987,1987,Which programming language is used for artificial intelligence
+1988,1988,Which activation function should I use
+1989,1989,Is ReLU an activation function
+1990,1990,How do you know if data is parametric or nonparametric
+1991,1991,What is the difference between parametric and nonparametric
+1992,1992,What is the non parametric equivalent of t test
+1993,1993,What does non parametric mean
+1994,1994,What is the difference between parametric and non parametric tests
+1995,1995,What is non parametric test example
+1996,1996,What is another word for Target
+1997,1997,How do you use the word target
+1998,1998,What is the best edge algorithm
+1999,1999,What is approximate closest neighbor
+2000,2000,How is multistage sampling different from cluster sampling
+2001,2001,What is a multistage cluster sample
+2002,2002,What is a multiphase sampling method
+2003,2003,How do you interpret Matthews Correlation Coefficient
+2004,2004,What are the different types of expert systems
+2005,2005,What is principal component analysis used for
+2006,2006,How do you choose the best linear regression model in R
+2007,2007,How do you choose the best regression model
+2008,2008,How do you tell if a regression model is a good fit in R
+2009,2009,Is variation a range
+2010,2010,How do you find the range and variance
+2011,2011,Why is variance better than range
+2012,2012,What is the difference between range variance and standard deviation
+2013,2013,What analyzes the document based on semantic words
+2014,2014,What is semantic text analysis
+2015,2015,What is model accuracy and model performance
+2016,2016,What is a good accuracy for a model
+2017,2017,What does model accuracy mean
+2018,2018,What is regularization parameter
+2019,2019,What happens when you increase the regularization parameter
+2020,2020,What is the Fourier transform of a signal
+2021,2021,What is the formula of Fourier transform
+2022,2022,How do you find the Fourier series of a signal
+2023,2023,How do you calculate FFT of a signal
+2024,2024,Why is stepwise regression used
+2025,2025,Which regression procedures are used in stepwise regression
+2026,2026,Why normal distribution is common
+2027,2027,What type of distribution is most seen in nature
+2028,2028,How do you find the X in a frequency distribution table
+2029,2029,What is X in grouped data
+2030,2030,What are the basic components of a frequency distribution table
+2031,2031,Does the sample size have an effect on the mean of all possible sample means
+2032,2032,How does sample size affect mean and standard deviation
+2033,2033,Does the change in sample size affect the mean and standard deviation of the sampling distribution of P̂ if not explain why not select all that apply
+2034,2034,What does a larger sample size mean
+2035,2035,How do you identify categorical variables
+2036,2036,What does Global Max pooling do
+2037,2037,How do you calculate weighted probabilities
+2038,2038,What is machine learning bias
+2039,2039,What is are AI bias give example
+2040,2040,What if assumptions of linear regression are violated
+2041,2041,How do you test the assumption of a linear regression
+2042,2042,How do you know if errors are independent
+2043,2043,What are the four assumptions of the errors in a regression model
+2044,2044,What is a factor in SPSS
+2045,2045,How do you write a factor analysis result
+2046,2046,How do you know if a distribution is unimodal
+2047,2047,How do you verify a binomial distribution
+2048,2048,What are the 4 requirements for binomial distribution
+2049,2049,How do you select a linear regression feature
+2050,2050,How do you select a regression model
+2051,2051,What is a regression feature
+2052,2052,Why is sampling distribution of the mean important
+2053,2053,What is the sampling distribution of the mean
+2054,2054,What is a sampling distribution of means how is it created and what is it used for
+2055,2055,What is the mean of a distribution of means
+2056,2056,How do you find the probability of A or B if they are independent
+2057,2057,Is conditional probability independent or dependent
+2058,2058,What is P a B if A and B are independent
+2059,2059,What is the purpose of an activation function
+2060,2060,What is the difference between linear and non linear activation function
+2061,2061,Why non linear activation functions are used in multilayer neural network
+2062,2062,Why are neural networks non linear
+2063,2063,How do you find eigen value and eigen vector
+2064,2064,What is the easiest way to find eigenvectors
+2065,2065,How do you find the eigenvalues and eigenvectors of a 3x3 matrix
+2066,2066,Where is cluster sampling used
+2067,2067,Why is a cluster sample good
+2068,2068,What is tested by the goodness of fit test
+2069,2069,Why is the chi square test known as a goodness of fit test is it a two tailed test or a one tailed test explain
+2070,2070,What is the chi square test used to determine
+2071,2071,What do standardized residuals tell us
+2072,2072,What is the purpose of a residual plot
+2073,2073,What is a case deleted residual and when it is used
+2074,2074,How does ReLU solve vanishing gradient
+2075,2075,Which of the following activation functions Cannot effectively solve the vanishing gradient problem
+2076,2076,What is ROC and AUC in machine learning
+2077,2077,What are some of the advantages of multiple regression
+2078,2078,What are the two main reasons that we would want to use regression estimation for the differences techniques
+2079,2079,What is the main difference between hierarchical clustering and K means clustering
+2080,2080,What are hierarchical methods for clustering
+2081,2081,What is the difference between K means and Ward's method
+2082,2082,What are the different types of clustering
+2083,2083,What type of error is a random error
+2084,2084,What is a good R squared value
+2085,2085,What is the difference between GLM and LM
+2086,2086,Is GLM the same as logistic regression
+2087,2087,Which part of the brain deals with pattern recognition
+2088,2088,Why does the brain look for patterns
+2089,2089,What is brain patterning
+2090,2090,How do you develop pattern recognition skills
+2091,2091,What is the difference between variable and variate
+2092,2092,What is meant by variable or variate Class 11
+2093,2093,What is the meaning of variable
+2094,2094,What if test statistic is less than critical value
+2095,2095,How do you interpret critical t value
+2096,2096,What is required by K means clustering
+2097,2097,Which function is used for K means clustering
+2098,2098,What are the requirements of clustering
+2099,2099,In which of the following cases will k means clustering give good results
+2100,2100,What is the main purpose of sampling
+2101,2101,What are the reasons to use sample instead of the whole population
+2102,2102,Why is it important to sample in research
+2103,2103,Why we use word embedding
+2104,2104,What is word embedding in NLP
+2105,2105,What is Skip gram and CBOW models
+2106,2106,What is the difference between Skip gram and continuous bag of words CBOW in the Word2Vec model
+2107,2107,What is Overfitting and why it happens
+2108,2108,What is a KPI example
+2109,2109,What does accuracy rate mean
+2110,2110,How do we interpret the clustering output
+2111,2111,How do you explain clusters
+2112,2112,How do you measure cluster performance
+2113,2113,What is the good cluster quality measure
+2114,2114,How do you interpret covariance results
+2115,2115,Why is variance covariance matrix positive definite
+2116,2116,What inferential test do we use to investigate an association between two categorical variables
+2117,2117,How do I compare two categorical variables in SPSS
+2118,2118,Which distance matrices are used in Knn explain briefly
+2119,2119,Why would a researcher want to use a one tailed test instead of a two tailed test
+2120,2120,Should you use a one tailed or a two tailed hypothesis when doing a chi square test
+2121,2121,When should you use a one tailed test versus a 2 tailed test
+2122,2122,Is a one tailed or two tailed test more powerful
+2123,2123,Is it easier to reject the null hypothesis
+2124,2124,What is the rule for rejecting the null hypothesis
+2125,2125,How do you test the accuracy of a machine learning model
+2126,2126,How do you validate an algorithm
+2127,2127,Is data analysis required for machine learning
+2128,2128,What is data analytics in simple terms
+2129,2129,What is the difference between data science and data analysis
+2130,2130,Why is linear regression a parametric model
+2131,2131,What does parametric model mean
+2132,2132,Should I use standard error or standard deviation
+2133,2133,How is standard error calculated
+2134,2134,Is se the same as standard deviation
+2135,2135,Which application is used in reinforcement learning
+2136,2136,Is machine learning important for AI
+2137,2137,How are artificial intelligence and machine learning related
+2138,2138,Should I learn machine learning or artificial intelligence
+2139,2139,Why do we need Bayesian statistics
+2140,2140,Where is Bayes rule used
+2141,2141,What is a one sample t test example
+2142,2142,What is a 2 sample t test
+2143,2143,What is a one sample t interval
+2144,2144,How is binning done
+2145,2145,What are the different types of binning
+2146,2146,How is Bayesian inference related to deep learning
+2147,2147,What does controlling for mean in regression
+2148,2148,How do you control a variable in regression in SPSS
+2149,2149,Why beta distribution is used in Pert
+2150,2150,How participants are assigned to different conditions in an experiment
+2151,2151,Why is it important to randomly assign participants to groups
+2152,2152,In which type of study would participants be randomly assigned to groups
+2153,2153,What is distributor margin
+2154,2154,What are the qualities of good estimator
+2155,2155,What are the three properties of a good estimator
+2156,2156,What is the role of an estimator
+2157,2157,What does the Lorenz curve indicate
+2158,2158,What is the importance of Lorenz curve
+2159,2159,What relationship does the Lorenz curve illustrate
+2160,2160,How do you interpret a two tailed test
+2161,2161,What is the difference between one tailed test and two tailed test
+2162,2162,Do you double the P value for a two tailed test
+2163,2163,What is bias in artificial intelligence
+2164,2164,What are bias in AI give example
+2165,2165,How do you interpret ordered logistic regression
+2166,2166,What is the difference between random sampling and convenience sampling
+2167,2167,What is convenience sampling PDF
+2168,2168,How do you know if an operator is linear
+2169,2169,Are integrals linear transformations
+2170,2170,What causes Overfitting in deep learning
+2171,2171,What is local maxima in artificial intelligence
+2172,2172,How local maxima affects hill climbing search algorithm
+2173,2173,What is local search algorithm in AI
+2174,2174,Is a sequence of local maxima that is very difficult for search algorithms to navigate
+2175,2175,What type of RNN is used for image captioning
+2176,2176,Can RNN be used for text classification
+2177,2177,How do I convert a PDF to a CDF
+2178,2178,What makes a function a PDF
+2179,2179,How do you calculate dependent events
+2180,2180,How do you solve independent and dependent events
+2181,2181,What is the difference between relative frequency
+2182,2182,What is frequency and relative frequency in statistics
+2183,2183,What is the difference between frequency distribution and probability distribution
+2184,2184,What is a reinforcement learning
+2185,2185,Can QuantiFERON test false negative
+2186,2186,What does a positive QuantiFERON gold test mean
+2187,2187,What can cause a false positive QuantiFERON test
+2188,2188,What is a multivariable model
+2189,2189,How does sample size n affect the shape of a sampling distribution
+2190,2190,How does sample size affect shape
+2191,2191,How does the shape and spread of the sampling distribution change as the sample size increases
+2192,2192,Does a sampling distribution depend on the size of the samples
+2193,2193,How do you calculate hazard ratio percentage
+2194,2194,What is the probability of getting a 6 on two dice
+2195,2195,Is Naruto a pseudo jinchuriki
+2196,2196,What is momentum in backpropagation
+2197,2197,What is the sum of squared deviations from the mean
+2198,2198,How do you find the sum of deviations from the mean
+2199,2199,What is transfer learning deep learning
+2200,2200,What is a ROC curve used for
+2201,2201,Why is ROC better than accuracy
+2202,2202,What is the formula for expected value
+2203,2203,What is the expected value of an unbiased estimator
+2204,2204,Is sigmoid function differentiable
+2205,2205,What is the derivative of the logistic function
+2206,2206,What is the derivative of exponential functions
+2207,2207,When using the repeated measures Anova We are testing the null hypothesis that the means of
+2208,2208,What is the null hypothesis for an Anova test
+2209,2209,What are the assumptions for repeated measures Anova
+2210,2210,What is the independent variable in a repeated measures design
+2211,2211,What is the importance of artificial intelligence
+2212,2212,How artificial intelligence is transforming the world
+2213,2213,What is the difference between sum of squares and variance
+2214,2214,What is the difference between the variance and the standard deviation
+2215,2215,What is the difference between S and σ in statistics
+2216,2216,Is sum of squares the same as standard deviation
+2217,2217,What is linear classification in machine learning
+2218,2218,What is linear regression classifier
+2219,2219,How is random sampling done
+2220,2220,What makes a filter linear non linear
+2221,2221,Is low pass filter linear
+2222,2222,What is linear image
+2223,2223,What is a stimulus generalization
+2224,2224,What does the steepness of a generalization gradient indicate
+2225,2225,Why does stimulus generalization occur
+2226,2226,What is an example of response generalization
+2227,2227,What is P in Kalman filter
+2228,2228,What is noise covariance
+2229,2229,What is bootstrap machine
+2230,2230,What is bootstrapping give an example
+2231,2231,What is Gaussian in machine learning
+2232,2232,How do you sample from the Gaussian process
+2233,2233,What is Alpha in statistics
+2234,2234,What is the beta in statistics
+2235,2235,What is the relationship between alpha and beta in statistics
+2236,2236,What is the value of alpha and beta
+2237,2237,What are the advantages and disadvantages of KNN
+2238,2238,What is PCA algorithm for face recognition
+2239,2239,What is target concept in machine learning
+2240,2240,How do you perform a likelihood ratio test
+2241,2241,How do you interpret standard error of measurement
+2242,2242,How do you interpret standard deviation and standard error
+2243,2243,What is the difference between Anova and repeated measures Anova
+2244,2244,What is the difference between repeated measures and independent measures
+2245,2245,Is gradient descent the same as backpropagation
+2246,2246,What is difference between gradient descent and stochastic gradient descent
+2247,2247,What is gradient descent in neural network
+2248,2248,What is a 2 layer neural network
+2249,2249,Can a two and three layer network be equivalent if they have linear activation function for hidden layers
+2250,2250,Which are the two functions commonly used as loss or cost functions in a neural network
+2251,2251,Why use multiple layers in a neural network
+2252,2252,What type of variable is categorical
+2253,2253,Can you use categorical variables in random forest
+2254,2254,How do you handle categorical variables in classification
+2255,2255,Is it necessary to learn data structures and algorithms
+2256,2256,Do I need to know data structures and data science algorithms
+2257,2257,Is it worth learning data structures
+2258,2258,What is a dependent event in probability
+2259,2259,How do you know if probability is dependent or independent
+2260,2260,What does independent event mean in probability
+2261,2261,How can learning be adaptive
+2262,2262,What is adaptive learning algorithm
+2263,2263,What is adaptive learning in machine learning
+2264,2264,What can cause a false positive for pregnancy
+2265,2265,How do you calculate false positive and false negative
+2266,2266,What is sparse cross entropy
+2267,2267,What is From_logits true
+2268,2268,How do you find the probability of independent events
+2269,2269,What is an example of two independent events
+2270,2270,What is the proper formula to find the probability of two dependent events
+2271,2271,Where k means clustering can be applied
+2272,2272,Why do we do cluster analysis
+2273,2273,What does LDA mean
+2274,2274,What is LDA in NLP
+2275,2275,What is univariate statistics vs multivariate statistics
+2276,2276,What is meant by vector space
+2277,2277,What are vectors in machine learning
+2278,2278,What is the difference between vector space and subspace
+2279,2279,Why do we use vector space
+2280,2280,What are activations in neural networks
+2281,2281,Why do we use activation function in CNN
+2282,2282,What is serial correlation and why can it be a problem when time series data are analyzed
+2283,2283,What is the problem with autocorrelation
+2284,2284,Does autocorrelation cause bias
+2285,2285,What does batch size do
+2286,2286,How can you recognize a pattern
+2287,2287,What do you know about patterns
+2288,2288,Why are convolutional neural nets used for image processing
+2289,2289,What is factor analysis PDF
+2290,2290,What is false positive and false negative
+2291,2291,What is false positive in data science
+2292,2292,What does Z stand for in probability
+2293,2293,Why do z scores have a mean of 0
+2294,2294,What are learning support strategies
+2295,2295,What is decision tree method
+2296,2296,How many decision trees are there
+2297,2297,What is the importance of decision tree
+2298,2298,What is spatial problem solving
+2299,2299,What are spatial patterns
+2300,2300,What are the problems of GIS
+2301,2301,What does invariant mean in statistics
+2302,2302,Are data mining and data mining process the same
+2303,2303,How do you calculate 0.05 level of significance
+2304,2304,What does P value indicate
+2305,2305,What is the difference between Del and Delta
+2306,2306,What is the difference between dy dx and Deltay Deltax
+2307,2307,How do you use predictive models
+2308,2308,What is predictive Modelling in machine learning
+2309,2309,What does the name Sigma mean
+2310,2310,What does Sigma mean in Latin
+2311,2311,What does Sigma mean in statistics
+2312,2312,What are the moments in statistics
+2313,2313,What are raw and central moments
+2314,2314,What is inductive and deductive learning
+2315,2315,What is deductive learning
+2316,2316,What is the difference between CDF and PDF
+2317,2317,How do you find the CDF from a PDF
+2318,2318,Can a binomial distribution be negative
+2319,2319,What is Overfitting neural network
+2320,2320,How do I fix Overfitting neural network
+2321,2321,What does non Randomised mean
+2322,2322,What does Randomised mean
+2323,2323,What are risk statistics
+2324,2324,What is supervised and unsupervised learning in neural networks
+2325,2325,Can we use neural network for unsupervised learning
+2326,2326,What is the function of unsupervised learning
+2327,2327,How does Rabin Karp algorithm work
+2328,2328,What is the basic principle in Rabin Karp algorithm
+2329,2329,Where is Rabin Karp algorithm used
+2330,2330,How hash values are used in Rabin Karp algorithm and explain with an example
+2331,2331,What is the definition of nonlinear association
+2332,2332,What does non linear mean
+2333,2333,What is a real world example of a nonlinear function
+2334,2334,Is the sampling distribution the same as the population distribution
+2335,2335,How is the mean of the sampling distribution related to the mean of the population
+2336,2336,How do I save and load model in TensorFlow
+2337,2337,How do I save the keras model in TensorFlow
+2338,2338,How do you find the average of a matrix in Matlab
+2339,2339,How can I calculate average
+2340,2340,How do you resize a matrix in Matlab
+2341,2341,How do you find the mean of a matrix
+2342,2342,What is weight in convolutional neural network
+2343,2343,What are the weights in neural network
+2344,2344,What are weights and biases in CNN
+2345,2345,What is HPI data
+2346,2346,What is filter in convolutional neural network
+2347,2347,What is filter in convolution
+2348,2348,What is the use of filters in CNN
+2349,2349,What is Matlab used for in real life
+2350,2350,What is ratio scale and interval scale
+2351,2351,What is the difference between R and R 2
+2352,2352,Is R 2 the correlation coefficient
+2353,2353,What is a correlation coefficient example
+2354,2354,What strategies do you use to ensure students are learning
+2355,2355,How do you close a learning gap
+2356,2356,What is learning gap in education
+2357,2357,What is symmetry in statistics
+2358,2358,What does it mean when a data set is symmetric
+2359,2359,What are the different types of moments
+2360,2360,What is moment about mean
+2361,2361,What are moments of a random variable
+2362,2362,What are moments used for
+2363,2363,Why spark is used in Hadoop
+2364,2364,Is spark a big data tool
+2365,2365,How do you solve a Turing machine
+2366,2366,Does scaling affect logistic regression
+2367,2367,Can logistic regression be used for prediction
+2368,2368,What are some misleading statistics
+2369,2369,How do you know if statistics are misleading
+2370,2370,What is statistical deception
+2371,2371,What is a neural network used for
+2372,2372,What does the loss function do
+2373,2373,What is a loss function give example
+2374,2374,What is optimization in machine learning
+2375,2375,How can machine learning and optimization help each other better
+2376,2376,How do you determine which Boxplot has more variability
+2377,2377,How do you analyze a Boxplot
+2378,2378,How do you statistically analyze survey data
+2379,2379,What are the most commonly used statistical analysis measures
+2380,2380,What statistical test should be used to analyze the data
+2381,2381,How do you find input and output
+2382,2382,How do you find the input and output data of a function
+2383,2383,What are the input variable and the output variable
+2384,2384,How many dependent variables can you have in an experiment
+2385,2385,How do you know if something is discrete or continuous
+2386,2386,Is date continuous or discrete variable
+2387,2387,Can unequal class intervals be used in a frequency distribution
+2388,2388,What is unequal class interval
+2389,2389,How many types of class intervals are there
+2390,2390,What are the two types of class interval
+2391,2391,What does slope of regression line tell you
+2392,2392,What is a good regression line
+2393,2393,How do you know if a regression line is a good fit
+2394,2394,What is distributed machine learning
+2395,2395,Is TensorFlow distributed
+2396,2396,How do you categorize text
+2397,2397,What is the complement in statistics
+2398,2398,Are hidden Markov models still used
+2399,2399,How do you conduct a decision tree
+2400,2400,What is a decision tree and how does it work
+2401,2401,How do you use the decision tree in Sklearn
+2402,2402,What is the margin of error in statistics
+2403,2403,How do you find the margin of error on a TI 84
+2404,2404,What is an example of an explanatory variable
+2405,2405,How do you interpret variance
+2406,2406,What is the purpose of variance
+2407,2407,What does the variance and standard deviation tell us
+2408,2408,What is a good variance
+2409,2409,What is meant by Fourier series
+2410,2410,How Fourier series is used in signal processing
+2411,2411,What are the types of Fourier series
+2412,2412,What is Fourier series and its applications
+2413,2413,What is variable covariance
+2414,2414,What is the covariance for a vector of random variables
+2415,2415,Is backpropagation learning based on gradient descent along error surface
+2416,2416,What kind of learning is backpropagation
+2417,2417,What is Q table
+2418,2418,What is deep Q
+2419,2419,What do you call the set environments in Q learning
+2420,2420,How do you interpret quartile range
+2421,2421,What does a large range tell you
+2422,2422,How do you determine if something is statistically significant in Excel
+2423,2423,How do you test statistical significance
+2424,2424,How do you test if difference is statistically significant
+2425,2425,Which model type do you use for a continuous response variable
+2426,2426,Which model works on continuous data
+2427,2427,Which algorithm used to predict continuous values
+2428,2428,How do you know if events are dependent
+2429,2429,What makes an event independent or dependent
+2430,2430,Is median and average same
+2431,2431,Why are GPUs better for machine learning
+2432,2432,Which of these is an example of predictive analytics
+2433,2433,What are methods of predictive analytics
+2434,2434,How do you describe a population and sample
+2435,2435,How do you find the sample in statistics
+2436,2436,What is a sample study in statistics
+2437,2437,What is back propagation in artificial neural network
+2438,2438,What is FFT and its applications
+2439,2439,What are the applications of FFT
+2440,2440,What is FFT in vibration analysis
+2441,2441,What are the statistical analysis techniques
+2442,2442,What are the different types of statistical techniques
+2443,2443,What is word representation
+2444,2444,What is the goal of learning word vectors
+2445,2445,What is the purpose of Word2vec
+2446,2446,What is the difference between GloVe and Word2vec
+2447,2447,What makes the topic trend
+2448,2448,How do you handle imbalance data sets
+2449,2449,What is the difference between inductive machine learning and deductive machine learning
+2450,2450,Is machine learning inductive
+2451,2451,What is inductive learning in data mining
+2452,2452,What are labels in ML
+2453,2453,What is label data in machine learning
+2454,2454,How do you measure the accuracy of a classification model
+2455,2455,Which of the following evaluation metrics can be used for classification problems
+2456,2456,How do recommendation systems work
+2457,2457,What is feature extraction explain different feature extraction techniques
+2458,2458,What does ROC AUC mean
+2459,2459,Does class imbalance affect AUC
+2460,2460,How do you scale data for machine learning
+2461,2461,What is scaling in neural network
+2462,2462,What is greedy method in algorithm
+2463,2463,How does sample size affect sampling distribution
+2464,2464,What is the effect of increasing sample size
+2465,2465,How small is big sample size and skewness
+2466,2466,In what way can artificial intelligence benefit society in the future
+2467,2467,How many neurons are in the hidden layer
+2468,2468,Is there any exact formula for calculating the number of hidden layers as many neurons in each hidden layer
+2469,2469,How does the number of neurons and hidden layers affect the performance of the network
+2470,2470,What are hidden neurons
+2471,2471,Why sigmoid function is used in neural network
+2472,2472,What is the best activation function in neural networks
+2473,2473,What is Softmax function in neural network
+2474,2474,What does polynomial regression tell you
+2475,2475,How are polynomial features used in linear regression
+2476,2476,Is polynomial regression still a linear regression
+2477,2477,How do you fit a polynomial regression
+2478,2478,What does partial correlation tell us
+2479,2479,What is difference between random forest and decision tree
+2480,2480,What is the difference between decision tree random forest and gradient boosting
+2481,2481,What is the primary reason for using random forests instead of a single decision tree
+2482,2482,What filtering data means
+2483,2483,What is collaborative filtering algorithm
+2484,2484,How does content based filtering work
+2485,2485,What are characteristics of a good cluster analysis
+2486,2486,How do you explain cluster analysis
+2487,2487,Can mutual information be negative
+2488,2488,Why is entropy non negative
+2489,2489,How do you find conditional entropy
+2490,2490,What is lazy learning algorithm
+2491,2491,What is the difference between systematic random sampling and stratified random sampling
+2492,2492,What is the difference between stratified and cluster sampling explain
+2493,2493,What is the difference between simple random sampling and complex random sampling
+2494,2494,What is the difference between simple random sampling and stratified sampling quizlet
+2495,2495,What are the advantages of random forest
+2496,2496,What are advantages of using decision trees
+2497,2497,What is the difference between XGBoost and random forest
+2498,2498,How do you know if two distributions are independent
+2499,2499,How do you prove independence in statistics
+2500,2500,How do you show a discrete random variable is independent
+2501,2501,What are the parameters
+2502,2502,How do you write a parameter
+2503,2503,What are the types of parameter and explain parameter with example
+2504,2504,What is parameter and variable
+2505,2505,What do you mean by experimental and control group
+2506,2506,What is the difference between the control group and the experimental group in an experimental study quizlet
+2507,2507,What is the difference between an experimental group and a control group
+2508,2508,What is feature engineering and why is it important for machine learning
+2509,2509,How do you Linearize parabolic data
+2510,2510,What is a feature in CNN
+2511,2511,What is Ensemble
+2512,2512,What is ensemble in data science
+2513,2513,How is Bayes decision boundary calculated
+2514,2514,Is Monte Carlo Tree Search Machine Learning
+2515,2515,Is Monte Carlo a learning reinforcement
+2516,2516,What is NLP and how does it work
+2517,2517,What is NLP in detail
+2518,2518,What is NLP example
+2519,2519,What are the challenges in NLP
+2520,2520,What is the difference between standardized and unstandardized residuals
+2521,2521,What is the difference between residuals and standard residuals
+2522,2522,What does Studentized residuals measure
+2523,2523,What does the standardized residual mean
+2524,2524,How does SGD choose learning rate
+2525,2525,Is neural networking affected by learning
+2526,2526,How can I improve my style transfer
+2527,2527,What is W and B in neural network
+2528,2528,What is Hyperparameters in machine learning
+2529,2529,What is statistics and data analysis
+2530,2530,Is data analysis and data analytics same
+2531,2531,Is Data Analytics a statistic
+2532,2532,What are the two types of data analysis
+2533,2533,What is annealing in machine learning
+2534,2534,Is simulated annealing stochastic
+2535,2535,What is training and inference in AI
+2536,2536,What is inferencing in machine learning
+2537,2537,Why are decision trees prone to overfitting
+2538,2538,What is a chi square test and why is it used
+2539,2539,How do you interpret univariate analysis of variance in SPSS
+2540,2540,How do you describe univariate analysis
+2541,2541,How do you interpret data in SPSS
+2542,2542,How are z scores used in real life
+2543,2543,Why is it beneficial to use Z scores instead of raw scores
+2544,2544,What is an advantage of converting raw data to z scores
+2545,2545,How much time does it take to learn deep learning
+2546,2546,What is a good learning rate for Adam
+2547,2547,How do you know if data is biased
+2548,2548,Do all information sources have bias
+2549,2549,Is decision tree supervised learning
+2550,2550,Is OLS linear regression
+2551,2551,Is OLS linear
+2552,2552,How many types of regression models are there
+2553,2553,What are the types of linear regression
+2554,2554,What type of regression is best
+2555,2555,What is regression technique
+2556,2556,What is the difference between sample and sampling
+2557,2557,How does predictive analysis work
+2558,2558,What is convolution and its types
+2559,2559,What is convolution in Fourier Transform
+2560,2560,Why we use linear regression in machine learning
+2561,2561,What is the use of linear regression
+2562,2562,What do linear regression tell you
+2563,2563,What is the difference between box plot and histogram
+2564,2564,What does a box plot show that a histogram doesn t
+2565,2565,How do Boxplots and histograms match
+2566,2566,Why use a box plot over a histogram
+2567,2567,How do you find the expected value of a moment generating function
+2568,2568,Why validation loss is lower than training loss
+2569,2569,When validation accuracy is higher than training
+2570,2570,How do you test face and content validity of questions
+2571,2571,What does a convolutional layer do
+2572,2572,What is deep learning in simple terms
+2573,2573,How do you read a normal distribution curve
+2574,2574,What does a normal distribution graph tell us
+2575,2575,How do you analyze a normal distribution
+2576,2576,How do you find the mean of a normal distribution
+2577,2577,Where KNN algorithm is used
+2578,2578,What is a machine learning model
+2579,2579,What is the use of sigmoid function in neural network
+2580,2580,What does the sigmoid function do in machine learning
+2581,2581,How does a sigmoid function work
+2582,2582,Can you have a standard deviation of 0
+2583,2583,What can be said about a set of data with a standard deviation of 0
+2584,2584,What does sample standard deviation tell you
+2585,2585,What is a union statistics
+2586,2586,What is the union of A and B
+2587,2587,How do you find the union of independent events
+2588,2588,What is the difference between probability sampling and Nonprobability sampling
+2589,2589,What is the difference between probability and non probability sampling PDF
+2590,2590,What is non probability sampling
+2591,2591,What are the types of frequency distribution
+2592,2592,What is mean by frequency distribution
+2593,2593,What is frequency distribution PDF
+2594,2594,How do you interpret log transformations
+2595,2595,What does linear log mean
+2596,2596,What are the major differences between econometrics and machine learning
+2597,2597,How do you use ensemble in a sentence
+2598,2598,What conditions are required for ordinary least squares regression analysis to be appropriate
+2599,2599,Does least squares assume normal distribution
+2600,2600,What is homogeneous vs heterogeneous
+2601,2601,What does the mean square error tell you
+2602,2602,What is computed by MSE in machine learning
+2603,2603,What is regression effect in research
+2604,2604,What is regression to the mean in statistics
+2605,2605,What does linear model mean
+2606,2606,What is model calibration and validation
+2607,2607,What is model calibration What are the different model calibration techniques
+2608,2608,What is an example of calibration
+2609,2609,Where is facial recognition stored
+2610,2610,What file type does facial recognition use
+2611,2611,How does face tracking work
+2612,2612,Why do we prefer binary search over ternary search
+2613,2613,When would it be better to use a linear search over binary search
+2614,2614,What is GLS in statistics
+2615,2615,Is OLS a GLM
+2616,2616,What are anchors in object detection
+2617,2617,What is Bellman error
+2618,2618,What is optimal value function
+2619,2619,How do you make a probability distribution histogram
+2620,2620,How do you convert a histogram to a probability density function
+2621,2621,Is histogram a probability distribution
+2622,2622,How do you calculate probability distribution
+2623,2623,What field of study is Artificial Intelligence
+2624,2624,What is back propagation in neural network
+2625,2625,What is Backpropagation with example
+2626,2626,How do you do K means clustering in R
+2627,2627,How do you plot K means clustering
+2628,2628,How do I prepare data for cluster analysis in R
+2629,2629,What is K means in R
+2630,2630,Can logistic regression be used for binary classification
+2631,2631,What is an F test used for
+2632,2632,Is F distribution normally distributed
+2633,2633,What is regression in statistics with example
+2634,2634,What is regression analysis and how is it used
+2635,2635,What is multiple regression analysis with example
+2636,2636,What is input function
+2637,2637,How do you find the input and output
+2638,2638,Why chi square test is called non parametric test
+2639,2639,Which type of test is the chi square test an example of
+2640,2640,How do you find the normal distribution in statistics
+2641,2641,What is a distribution function in statistics
+2642,2642,What is triplet network
+2643,2643,What type of analysis is logistic regression
+2644,2644,How do you solve a binomial with two variables
+2645,2645,How do you factor Binomials step by step
+2646,2646,What are the different types of agents in AI
+2647,2647,How does hierarchical clustering make cluster
+2648,2648,What is the use of covariance
+2649,2649,Why do we use covariance matrix in PCA
+2650,2650,How does population change in the world
+2651,2651,Why does population size change
+2652,2652,How do you find the correlation between two variables in SPSS
+2653,2653,Which machine learning method is unsupervised learning
+2654,2654,Which algorithm is used in machine learning
+2655,2655,Which are the techniques of unsupervised learning
+2656,2656,Why are recurrent neural networks hard to train
+2657,2657,What does it mean for results to be robust
+2658,2658,Are Gaussian and normal distribution the same
+2659,2659,Why Gaussian distribution is called normal distribution
+2660,2660,What is difference between normal distribution and standard normal distribution
+2661,2661,How is neural network implemented in Matlab
+2662,2662,How do you interpret a Boxplot
+2663,2663,What are the different types of machine learning models
+2664,2664,What is the correlation coefficient between the two variables
+2665,2665,What is K means clustering used for
+2666,2666,What does a cluster analysis tell you
+2667,2667,What are the advantages and disadvantages of K means clustering
+2668,2668,What are the advantages of using non standard unit of measurement
+2669,2669,What is the difference between standard and non standard units
+2670,2670,What are the non standard units of measurement
+2671,2671,What is meant by Bayesian network
+2672,2672,What exactly do you mean by spectral analysis
+2673,2673,What does spectral analysis tell us about a star
+2674,2674,Are some of the examples of unsupervised learning
+2675,2675,What is meant by unsupervised learning
+2676,2676,Is correlation affected by scaling
+2677,2677,What types of variables are used for correlations
+2678,2678,What does R and P mean in correlation
+2679,2679,Which is a disadvantage of KNN
+2680,2680,What are the pros and cons of KNN
+2681,2681,What are advantages of KNN
+2682,2682,How do you check for string similarity
+2683,2683,Why dimensionality reduction is important in machine learning
+2684,2684,What is a variational auto encoder
+2685,2685,What does the Pearson product moment correlation coefficient tell you
+2686,2686,How do you find the product moment correlation coefficient
+2687,2687,Is degree of freedom n 1
+2688,2688,What does the coefficient of variation tell us
+2689,2689,What is acceptable coefficient of variation
+2690,2690,What does variance mean in normal distribution
+2691,2691,Can Softmax be used for regression
+2692,2692,What do you mean by multivariate data
+2693,2693,What does the test statistic tell you
+2694,2694,How do you interpret statistics
+2695,2695,How do you interpret the p value and t statistic
+2696,2696,Is SVM machine learning or deep learning
+2697,2697,What is SVM in deep learning
+2698,2698,Is support vector machine a deep neural network
+2699,2699,What is labeled and unlabeled data
+2700,2700,What is labeling in machine learning
+2701,2701,What does it mean to label data
+2702,2702,What is stress in multidimensional scaling
+2703,2703,How do you know a false negative
+2704,2704,What is a false negative in statistics
+2705,2705,What is false positive and false negative in IDS
+2706,2706,What is one hot encoding and when is it used in data science
+2707,2707,How does swarm work
+2708,2708,Is swarm intelligence same as artificial intelligence
+2709,2709,What is the difference between content based and collaborative filtering
+2710,2710,What does content based filtering mean
+2711,2711,What does negative binomial distribution represent
+2712,2712,What is Dbscan algorithm explain with suitable example
+2713,2713,How does density based clustering work
+2714,2714,How do Dbscan assist in predictive analysis
+2715,2715,How do you explain the Monty Hall problem
+2716,2716,What is kosaraju's algorithm
+2717,2717,How do you calculate strongly connected components
+2718,2718,What is NLP in chatbot
+2719,2719,Which NLP package is used in for demonstration of chatbot *
+2720,2720,What can neural networks be used for
+2721,2721,What is a Mann Whitney U test used for
+2722,2722,What are the assumptions of the Mann Whitney U test
+2723,2723,What is the null hypothesis for Mann Whitney test
+2724,2724,What is a bivariate data in statistics
+2725,2725,What does bivariate analysis mean
+2726,2726,What is bivariate data used for
+2727,2727,What are indicators
+2728,2728,Are indicator random variables independent
+2729,2729,How do you use an indicator function
+2730,2730,How do you find outliers in data
+2731,2731,What do you do with outliers in data
+2732,2732,What would be considered an outlier
+2733,2733,What is the likelihood function of binomial distribution
+2734,2734,Why do we maximize likelihood function
+2735,2735,What is the opposite of placebo effect
+2736,2736,What will happen if we initialize all the weights to 0 in neural networks
+2737,2737,Why is weight initialization important in neural networks
+2738,2738,Is it okay to initialize the bias terms to 0
+2739,2739,Why neurons should not all be initialized for all weights to the same value
+2740,2740,What is Perceptron algorithm in machine learning
+2741,2741,What is fixed effect and random effect
+2742,2742,What is purpose of image processing
+2743,2743,What is OpenCV in image processing
+2744,2744,How do you calculate distribution
+2745,2745,How do you calculate uniform probability distribution
+2746,2746,Who invented decision theory
+2747,2747,What are the components of decision theory
+2748,2748,Is AdaBoost linear
+2749,2749,What is AdaBoost regression
+2750,2750,Can boosting be applied to regression
+2751,2751,How do you find the Poisson distribution table
+2752,2752,How do you solve Poisson distribution problems
+2753,2753,How do you find the standard test statistic
+2754,2754,How does Multilayer Perceptron work
+2755,2755,What is weight in Perceptron
+2756,2756,What is the difference between multiple regression and hierarchical regression
+2757,2757,How do you interpret a hierarchical logistic regression
+2758,2758,Why is the Z score considered a standardized score
+2759,2759,Do z scores standardize a data set
+2760,2760,How do you find a rank in statistics
+2761,2761,What is a rank in statistics
+2762,2762,What is rank correlation example
+2763,2763,Why are convolutional layers better than fully connected layers for images
+2764,2764,What is optimization in neural network
+2765,2765,Which fundamental algorithm is used to train the neural network
+2766,2766,How do you describe regression
+2767,2767,How do you describe a regression model
+2768,2768,What are hyper parameters and how do we set values of hyper parameters
+2769,2769,What is the role of hyper parameter in regularization task
+2770,2770,Is a one sample t test reported differently for one tailed and two tailed tests
+2771,2771,How do you tell the difference between a one tailed and two tailed test
+2772,2772,What is the difference between a Z test and a 1 sample t test
+2773,2773,What are the assumptions of a one sample z test
+2774,2774,What is uncertainty definition
+2775,2775,What is information theory information rate
+2776,2776,How do you find the entropy of information theory
+2777,2777,What is NLP deep learning
+2778,2778,Is Deep learning used in NLP
+2779,2779,What is NLP in simple words
+2780,2780,What are the levels of NLP
+2781,2781,Why is ReLU used
+2782,2782,What is the meaning of cross entropy
+2783,2783,How do you read cross entropy
+2784,2784,How do you read Word2Vec
+2785,2785,What is Word2Vec used for
+2786,2786,What is output vector
+2787,2787,What is hybrid Bayesian network
+2788,2788,What is the type of probability that is used in the Bayesian networks
+2789,2789,What type of data structure is a Bayesian network
+2790,2790,What is the process of developing a Bayesian networks model
+2791,2791,What is the difference between predictive analytics and machine learning
+2792,2792,Is Machine Learning a predictive model
+2793,2793,Is Predictive analytics is same as forecasting
+2794,2794,How does a GAN work
+2795,2795,What is Labelled data in machine learning
+2796,2796,What is unlabeled
+2797,2797,How do you use unlabeled data
+2798,2798,What is the variance of the sampling distribution of the mean
+2799,2799,What affects sampling distribution
+2800,2800,How does variability affect sample size
+2801,2801,What is variability and why is it important
+2802,2802,How do you know if a linear regression is appropriate
+2803,2803,When should you use a linear model
+2804,2804,What is non linear regression used for
+2805,2805,Where should I add batch normalization
+2806,2806,Where is batch normalization on CNN
+2807,2807,Why does CNN use batch normalization
+2808,2808,How does Expectation Maximization work
+2809,2809,What does a multimodal histogram look like
+2810,2810,Where is unsupervised learning used
+2811,2811,What do you mean by unsupervised learning
+2812,2812,Why do we assume normality of the error term
+2813,2813,Why residual should be normally distributed
+2814,2814,Why normality assumption is important in regression
+2815,2815,Is Q learning model based
+2816,2816,Is the log likelihood negative
+2817,2817,How does log likelihood work
+2818,2818,What is difference between DFT and FFT
+2819,2819,Why FFT is preferred over DFT
+2820,2820,How does natural language understanding work in AI
+2821,2821,How many laws of logarithm are there
+2822,2822,What are the logarithm properties
+2823,2823,How geometric mean is calculated
+2824,2824,What is the meaning of similarity and dissimilarity
+2825,2825,What are the similarities and difference
+2826,2826,What is the meaning of dissimilarity
+2827,2827,What is the difference between similarity and distance measures
+2828,2828,What is the probability of rolling a 6 with 2 dice
+2829,2829,How do you write a random variable
+2830,2830,What makes a variable random
+2831,2831,How do you create a random sample
+2832,2832,What is the function of data wrangling
+2833,2833,What is data wrangling and exploratory analysis
+2834,2834,Can binary variables correlated
+2835,2835,How do you find the correlation between variables
+2836,2836,What is a binary correlation
+2837,2837,What is considered as robust statistic
+2838,2838,What is the difference between bootstrapping bagging and boosting
+2839,2839,Which of the following is true about bagging and boosting
+2840,2840,How is a center point centroid picked for each cluster in K means select all that apply
+2841,2841,How do you find the mean vector centroid
+2842,2842,How do you test for Homoscedasticity in linear regression
+2843,2843,What is the difference between relative frequency and cumulative frequency choose the correct answer below
+2844,2844,What is relative cumulative frequency distribution
+2845,2845,What is the purpose of relative and cumulative frequency
+2846,2846,What is image analysis in image processing
+2847,2847,What is the difference between image processing and image analysis
+2848,2848,What are the steps in image processing
+2849,2849,Why r squared is bad
+2850,2850,What is trade off between bias and variance
+2851,2851,How do you solve high bias problems
+2852,2852,What is the use of probability sampling
+2853,2853,What are the advantages of probability sampling over non probability sampling
+2854,2854,What is the Facebook algorithm
+2855,2855,What is the meaning of Gaussian
+2856,2856,What does a Gaussian distribution look like
+2857,2857,What is general boundary in machine learning
+2858,2858,When you use the fundamental counting principle what are you counting
+2859,2859,What is the fundamental principle of counting provide an example
+2860,2860,What is the difference between field and vector space
+2861,2861,What is meant by vector field
+2862,2862,How do you control for a variable
+2863,2863,What does it mean to control variables in an experiment
+2864,2864,How do you determine if there is a statistically significant difference
+2865,2865,How do you determine statistical significance between two sets of data
+2866,2866,Is theano better than TensorFlow
+2867,2867,How do you determine the accuracy of an image classification
+2868,2868,What is accuracy in evaluation
+2869,2869,What is the importance of neural networks in relation to brain development
+2870,2870,Why is neural network important in AI
+2871,2871,What are the advantages and disadvantages of neural networks
+2872,2872,When should you use neural networks
+2873,2873,What is the use of logarithm
+2874,2874,What is a log function
+2875,2875,How do you write an analysis for a photo
+2876,2876,What does analyze the image mean
+2877,2877,What are the things you consider when you are analyzing images
+2878,2878,What are the four steps to reading a photograph
+2879,2879,Which of the following is an example of discrete variable
+2880,2880,What are types of continuous variables
+2881,2881,What are the conditions required for parametric test
+2882,2882,How do you deal with missing data in regression
+2883,2883,How does logistic regression handle missing values
+2884,2884,How do you deal with missing values in test data
+2885,2885,What is an empirical probability distribution
+2886,2886,How do you find the distribution function
+2887,2887,What is the purpose of Max pooling layer in CNN
+2888,2888,What is exponential distribution function
+2889,2889,What is the PDF of an exponential distribution
+2890,2890,How do you find the standard deviation of an exponential distribution
+2891,2891,What is the difference between face validity and content validity
+2892,2892,How is AI used today
+2893,2893,How artificial intelligence is being used
+2894,2894,What formula gives the standard deviation of a data set
+2895,2895,How do you find the standard deviation between two sets of data in Excel
+2896,2896,How can I calculate standard deviation
+2897,2897,Why root mean square error is used
+2898,2898,What is mean squared error in machine learning
+2899,2899,What does a high mean squared error mean
+2900,2900,Which of the following are benefits of stochastic gradient descent
+2901,2901,What is the advantage of gradient descent
+2902,2902,What are the different kernels in SVM
+2903,2903,What does a Gaussian kernel do
+2904,2904,What is bootstrap machine learning
+2905,2905,What does bootstrapping mean
+2906,2906,What is Knn in data mining
+2907,2907,How do I know if my data follows a normal distribution
+2908,2908,Does everything follow a normal distribution
+2909,2909,What if data does not follow normal distribution
+2910,2910,How do you do gradient descent
+2911,2911,What is Autoencoder deep learning
+2912,2912,What is deep Autoencoder
+2913,2913,What's the meaning of tensor
+2914,2914,What is a tensor in deep learning
+2915,2915,Is a tensor just a matrix
+2916,2916,What is momentum gradient descent
+2917,2917,What is momentum in Adam Optimizer
+2918,2918,What is a Bayesian network and why is it important in AI
+2919,2919,Are Bayesian networks machine learning
+2920,2920,Who invented Bayesian networks
+2921,2921,How do you know if its a main effect or interaction
+2922,2922,What is an interaction effect example
+2923,2923,How do you write a partition function
+2924,2924,What is molar partition function
+2925,2925,How do you find the entropy of a partition function
+2926,2926,How do you do a survival analysis
+2927,2927,What is statistics and its examples
+2928,2928,What is an example of sample statistic
+2929,2929,What is statistics in simple words
+2930,2930,What are 3 uses of statistics
+2931,2931,Why is the vanishing gradient a problem
+2932,2932,How do you know if a distribution is hypergeometric
+2933,2933,How do you calculate hypergeometric probability
+2934,2934,What is K in probability distribution
+2935,2935,What is the difference between policy and value functions
+2936,2936,Will the optimal value function obtained from policy iteration vs value iteration be different
+2937,2937,How can inductive and deductive reasoning be improved
+2938,2938,How do you improve inductive reasoning skills
+2939,2939,What makes a distribution discrete
+2940,2940,Is a normal distribution discrete or continuous
+2941,2941,How do I choose which statistical test to use
+2942,2942,What do you mean by non parametric test
+2943,2943,Why do you need non linear activation functions
+2944,2944,Why the activation function is needed in neural networks and also explain non linear activation functions
+2945,2945,What does a correlation of 0 mean
+2946,2946,Is Lstm discriminative or generative
+2947,2947,Is logistic regression discriminative
+2948,2948,What is the difference between discriminative and generative models
+2949,2949,How does attention model work
+2950,2950,What does attention layer do
+2951,2951,What is Attention layer in deep learning
+2952,2952,What is the sum of relative frequencies of data
+2953,2953,What is the difference between a nonparametric test and a distribution free test
+2954,2954,What is the difference between parametric and non parametric methods
+2955,2955,What are the different non parametric tests
+2956,2956,What does Gini mean in decision tree
+2957,2957,What is entropy in decision tree learning
+2958,2958,What is the difference between information gain and Gini index
+2959,2959,What is meant by anomaly detection
+2960,2960,What is anomaly detector used for
+2961,2961,How do you use anomaly detection
+2962,2962,What is the difference between theoretical and empirical
+2963,2963,What is theoretical distribution
+2964,2964,What is the difference between empirical probability and theoretical probability
+2965,2965,What is a theoretical probability distribution
+2966,2966,What is the difference between a research hypothesis and a statistical hypothesis
+2967,2967,Which is a clustering algorithm
+2968,2968,What are the different types of clusters in data mining
+2969,2969,What is the difference between quota sampling and stratified sampling quizlet
+2970,2970,What are the three major differences between cluster sampling and stratified sampling
+2971,2971,What is clustering and types of clustering
+2972,2972,Why clustering is done
+2973,2973,How do you interpret the standard error of a regression coefficient
+2974,2974,How do you do standard error in regression
+2975,2975,What is the difference between multivariate data set and bivariate data
+2976,2976,What is a Fourier transform used for
+2977,2977,What is Fourier transform of sinc function
+2978,2978,Why are eigenvalues so important
+2979,2979,What is the meaning of eigen value
+2980,2980,What do eigenvectors and eigenvalues represent
+2981,2981,How can you improve the accuracy of the deep learning model
+2982,2982,What does sample space mean
+2983,2983,What correlation coefficient would you use for a linear relationship between two variables
+2984,2984,What is the correlation between two random variables
+2985,2985,How do we use AI in everyday life
+2986,2986,What is artificial intelligence with real time example
+2987,2987,How exactly does Word2Vec work
+2988,2988,How does Word2Vec deal with unknown words
+2989,2989,How do you evaluate a Word2Vec model
+2990,2990,What is backpropagation algorithm in machine learning
+2991,2991,What is censored in Kaplan Meier
+2992,2992,What is an example of a false positive
+2993,2993,Which library is used for text mining in R
+2994,2994,How do you do text mining
+2995,2995,What is text mining with examples
+2996,2996,What is ridge in machine learning
+2997,2997,Is Sobel filter a low pass filter
+2998,2998,What is the difference between Sobel and Canny edge detection
+2999,2999,How do you write a probability distribution
+3000,3000,What is probability distribution used for
+3001,3001,What are the applications of a recurrent neural network RNN )
+3002,3002,What is difference between CNN and RNN
+3003,3003,What are the problems of regression analysis
+3004,3004,What is the disadvantage of linear model
+3005,3005,What is class boundary class interval
+3006,3006,When would you reduce dimensions in your data
+3007,3007,What method would you choose to perform dimensionality reduction
+3008,3008,Where is gradient descent used
+3009,3009,Which algorithms use gradient descent
+3010,3010,Does linear regression use gradient descent
+3011,3011,Is 0 a real number Yes or no
+3012,3012,Why is a high response rate in a survey critical
+3013,3013,How do you calculate PPV
+3014,3014,Why is a null hypothesis used
+3015,3015,What is a null hypothesis and what is its purpose
+3016,3016,How null hypothesis is useful in testing of significance
+3017,3017,How does machine learning algorithm work
+3018,3018,What is machine learning with example
+3019,3019,What is a time series in statistics
+3020,3020,Does a normal distribution always have a mean of 0
+3021,3021,Can a sample mean always be calculated
+3022,3022,Who is your bias meaning
+3023,3023,Who is IU's bias in BTS
+3024,3024,What is Underfitting in machine learning
+3025,3025,What causes Underfitting
+3026,3026,How do I know Underfitting
+3027,3027,What is the difference between the two types of random variables
+3028,3028,How do discrete and continuous random variables differ quizlet
+3029,3029,What is the correct formula for standard deviation
+3030,3030,How do you find SD from range and mean
+3031,3031,How many standard deviation away from the mean
+3032,3032,What are probability generating functions used for
+3033,3033,How do you solve linear regression by hand
+3034,3034,How is linear regression calculated
+3035,3035,How is Doc2Vec different from Word2Vec
+3036,3036,Is Bellman Ford algorithm greedy
+3037,3037,What is the difference between strong AI and weak AI quizlet
+3038,3038,Which Ai is known as strong artificial intelligence
+3039,3039,What is exponential smoothing in forecasting
+3040,3040,Why would you use exponential smoothing
+3041,3041,Why is one form of the smoothing equation called the smoothing form
+3042,3042,Why is exponential smoothing better than moving average
+3043,3043,What does the mean of a dummy variable tell us
+3044,3044,How many dummy variables are needed
+3045,3045,Which statistics helps to make inferences about a population
+3046,3046,What is population inference
+3047,3047,Why is the log likelihood negative
+3048,3048,Why does the behavior of the negative log likelihood function make it a good objective function for a minimization problem specifically when the output can be interpreted as a probability space
+3049,3049,How does dropout work neural network
+3050,3050,How do you do multinomial logistic regression in Excel
+3051,3051,What are the disadvantages of deep learning
+3052,3052,Is it worth learning deep learning
+3053,3053,How do you use the Central Limit Theorem to find the probability of a sample mean
+3054,3054,How do I calculate the sample mean
+3055,3055,What is the main purpose of Nat
+3056,3056,Should NAT be on or off
+3057,3057,Why is Nat bad
+3058,3058,How do activation functions work
+3059,3059,What are activation functions and why do we need them
+3060,3060,What are some applications of eigenvalues and eigenvectors
+3061,3061,When the K means algorithm has reached the local or global minima
+3062,3062,How do you find SSE in K mean
+3063,3063,What are some limitations of using K means algorithm
+3064,3064,What is the probability of a Type 1 error called
+3065,3065,Is P value the same as Type 1 error
+3066,3066,What is the difference between variance and deviation
+3067,3067,What does variance mean
+3068,3068,How do I find the variance
+3069,3069,How does the naive Bayes algorithm help in classifying emails to the spam category explain with an example
+3070,3070,How does the OLS estimator find the best fit line
+3071,3071,What is least square fitting method
+3072,3072,What is the meaning of the name kernel
+3073,3073,What is kernel in simple words
+3074,3074,Why Kalman filter is optimal
+3075,3075,What is IDF in text mining
+3076,3076,What is TF IDF in Python
+3077,3077,Which has maximum entropy
+3078,3078,What is entropy model
+3079,3079,What is maxent model
+3080,3080,What is the difference between ML and deep learning
+3081,3081,What is the difference between deep learning and traditional learning models
+3082,3082,What is parametric and nonparametric Modelling
+3083,3083,What are the unsupervised learning algorithms
+3084,3084,Which of the following is unsupervised learning method
+3085,3085,What is the meaning of random experiment in probability
+3086,3086,Why is reinforcement learning important
+3087,3087,How can I improve my reasoning skills
+3088,3088,How do you identify outliers in data mining
+3089,3089,What is a good false discovery rate
+3090,3090,What does FDR mean in statistics
+3091,3091,What does a properly exposed histogram look like
+3092,3092,How do you calculate median and survival time
+3093,3093,What is median survival time
+3094,3094,What does median survival not reached mean
+3095,3095,How do you calculate survival
+3096,3096,How do you find the basis of a vector
+3097,3097,What is a basis of a vector space
+3098,3098,How do you find the basis and dimension of a vector space
+3099,3099,What is a basis for R2
+3100,3100,What are the four parametric assumptions
+3101,3101,Is Chi square a parametric test
+3102,3102,How many types of median are there
+3103,3103,What is the definition of mean in statistics
+3104,3104,What is mean and its type
+3105,3105,What is average and its types
+3106,3106,What is PCA in machine learning
+3107,3107,Which is the most common method used in regression model
+3108,3108,How do you improve regression models
+3109,3109,Is the mean of a normal distribution always 0
+3110,3110,What is the difference between artificial intelligence and computational intelligence
+3111,3111,What is the relationship between human intelligence and artificial intelligence
+3112,3112,What does the area under the ROC curve represent
+3113,3113,What does area under the curve measure
+3114,3114,How do you interpret autocorrelation
+3115,3115,What is the point of autocorrelation
+3116,3116,What is ACF used for
+3117,3117,What are models in neural networks
+3118,3118,What is model and algorithm
+3119,3119,What does serial correlation mean
+3120,3120,What causes serial correlation
+3121,3121,How is serial correlation measured
+3122,3122,What is the difference between autocorrelation and serial correlation
+3123,3123,What are the tools used for machine learning
+3124,3124,What are the things required to learn machine learning
+3125,3125,What are the methods of machine learning
+3126,3126,What are deep learning tools
+3127,3127,What is least square method formula
+3128,3128,How do you find the least squares regression line by hand
+3129,3129,How do you calculate the regression equation
+3130,3130,What does high standard deviation tell us
+3131,3131,Why do we use word Embeddings in NLP
+3132,3132,What are advantages of sampling
+3133,3133,How do you find best K for Knn
+3134,3134,How can we increase the accuracy of KNN
+3135,3135,What is the accuracy of the KNN model on the test set
+3136,3136,What is distributional shift
+3137,3137,What is a data shift
+3138,3138,How do you describe covariance
+3139,3139,What is covariance vs variance
+3140,3140,What is population frame
+3141,3141,What are sampling frames
+3142,3142,How can we increase the accuracy of random forest
+3143,3143,What is boosting Why does it improve the accuracy of decision tree induction
+3144,3144,Why is offline learning better
+3145,3145,How do you explain a scatter plot
+3146,3146,When would you use a scatter plot examples
+3147,3147,What is the difference between accuracy and validation accuracy
+3148,3148,What does a decrease in entropy mean
+3149,3149,How do you know if entropy increases or decreases
+3150,3150,What does it mean when entropy increases
+3151,3151,What is parameter optimization in machine learning
+3152,3152,Can you use neural networks for regression
+3153,3153,What are convolutional neural networks good for
+3154,3154,Which is better human intelligence or artificial intelligence
+3155,3155,What is artificial intelligence and human intelligence
+3156,3156,Can a computer mimic human intelligence
+3157,3157,What is the difference between Anova Manova and Ancova
+3158,3158,What is the difference between blinded and unblinded study
+3159,3159,How does evolution occur through random processes
+3160,3160,What is the relationship between artificial intelligence machine learning and deep learning
+3161,3161,How do you define an optimization problem
+3162,3162,What is an optimization algorithm
+3163,3163,What is optimization problem in DAA
+3164,3164,What is a null and alternative hypothesis example
+3165,3165,What is alternative hypothesis
+3166,3166,Is the alternative hypothesis the opposite of the null hypothesis
+3167,3167,What type of learning is decision tree
+3168,3168,What is decision tree
+3169,3169,Is CNN a neural network
+3170,3170,What is GloVe Embeddings
+3171,3171,What are different types of normalization
+3172,3172,What do you mean by normalization
+3173,3173,How many normalization forms are there
+3174,3174,What is the difference between conditional and marginal distributions
+3175,3175,Does interquartile range measure variability
+3176,3176,What are two problems with range as a measure of variability
+3177,3177,Which measure of variability is most accurate
+3178,3178,Why do we use N 1 for standard deviation
+3179,3179,Why does the standard deviation formula subtract 1 from the sample size
+3180,3180,What is an off policy algorithm
+3181,3181,Are PPO policies off
+3182,3182,What is a policy in reinforcement learning
+3183,3183,Is there a difference between variance and sample variance
+3184,3184,What is estimation variance
+3185,3185,Is sample variance the same as sample mean
+3186,3186,What is statistical convergence
+3187,3187,How do you find the least squares of a linear regression
+3188,3188,How do you interpret probability density
+3189,3189,What is the difference between probability and probability density
+3190,3190,How do you prove probability density function
+3191,3191,What is the use of bag of words
+3192,3192,What is the difference between AI and machine learning
+3193,3193,Is machine learning better than AI
+3194,3194,What does the covariance tell you
+3195,3195,What's a good NPS score for SaaS
+3196,3196,How do you determine endogenous and exogenous variables
+3197,3197,What is the domain of a random variable
+3198,3198,Is age a discrete variable
+3199,3199,Is weight a discrete variable
+3200,3200,What is the difference between chi square test and Anova
+3201,3201,How do you read a Fisher's exact test
+3202,3202,Why do we use Anova in statistics
+3203,3203,What is cost function in linear regression
+3204,3204,What is the function of linear regression
+3205,3205,What is heuristic in artificial intelligence
+3206,3206,What do you mean by data stream
+3207,3207,What is streaming data used for
+3208,3208,What are the two types of GIS data
+3209,3209,Is the Internet a data stream or a network
+3210,3210,What does Lambda stand for in statistics
+3211,3211,What exactly is Bootstrap
+3212,3212,Why is bootstrap bad
+3213,3213,How do I use bootstrap
+3214,3214,How does neural network determine number of parameters
+3215,3215,What are learnable parameters in neural networks
+3216,3216,What is parameter sharing in CNN
+3217,3217,How does CNN decide how many layers
+3218,3218,What does P value of 0.01 mean
+3219,3219,What does P value of 0.07 mean
+3220,3220,Why do we need loss function
+3221,3221,Which is loss function here
+3222,3222,What are the laws of AI
+3223,3223,Is there a limit to artificial intelligence
+3224,3224,What is AUC ROC in machine learning
+3225,3225,How is ROC and AUC calculated
+3226,3226,What is ROC curve used for
+3227,3227,What type of sampling is cluster sampling
+3228,3228,Who uses cluster sampling
+3229,3229,What is multistage sampling with example
+3230,3230,Is 0 a real number or not
+3231,3231,Where can I find big data sets
+3232,3232,What is network in network theory
+3233,3233,What is meant by naive Bayes
+3234,3234,What is naive about the naive Bayes model
+3235,3235,Which package is used in R for working on naïve Bayesian classifiers
+3236,3236,How do we use artificial intelligence in everyday life
+3237,3237,What is the difference between convergence and uniform convergence
+3238,3238,Why we use Gaussian filter in image processing
+3239,3239,How does a Gaussian filter work
+3240,3240,Why filters are used in image processing
+3241,3241,What is NLP in coding
+3242,3242,How do you find the expectation of a Poisson distribution
+3243,3243,How do you calculate the expected value
+3244,3244,What is the expected value of this distribution
+3245,3245,What is the lambda value for the Poisson distribution
+3246,3246,What is model agnostic meta learning
+3247,3247,How do you find the expected value of a probability distribution
+3248,3248,What is the expected value of the probability distribution of a random variable
+3249,3249,Why is it important to know the expected value of a probability distribution
+3250,3250,Is expected value distributive
+3251,3251,What is concept of entropy
+3252,3252,What is entropy explain with example
+3253,3253,Who introduced the concept of entropy
+3254,3254,What is entropy in philosophy
+3255,3255,How do you write a predictive model
+3256,3256,What makes a good predictive model
+3257,3257,Does logistic regression give probability
+3258,3258,How do you find probability in logistic regression
+3259,3259,Why do we use logistic function
+3260,3260,Why security is a contested concept
+3261,3261,What does the chi square test statistic tell you
+3262,3262,What is the calculated test statistic
+3263,3263,What is the minimum sample size for chi square test
+3264,3264,What is the p value for chi square test
+3265,3265,How do you interpret a chi square statistic
+3266,3266,What is RMSE in linear regression
+3267,3267,Which regression model is better
+3268,3268,What are intelligent agents and how are they used in AI
+3269,3269,What are the characteristics of an intelligent agent
+3270,3270,Is AI supervised or unsupervised
+3271,3271,What type of AI is machine learning
+3272,3272,What is the likelihood probability
+3273,3273,What is Artificial Intelligence IBM
+3274,3274,What are the response variables
+3275,3275,What is a response variable example
+3276,3276,What is the dependent or response variable
+3277,3277,Which of the following best describes a response variable
+3278,3278,What is a latent profile analysis
+3279,3279,What is binomial probability distribution with example
+3280,3280,What is binomial distribution used for
+3281,3281,What are the 4 characteristics of a binomial experiment
+3282,3282,Why is linear regression not ideal for binary outcomes
+3283,3283,Why linear regression is not suitable for classification
+3284,3284,What are classifiers in machine learning
+3285,3285,What are classifiers in ML
+3286,3286,How is probability theory used in data science
+3287,3287,How do you find the probability of data
+3288,3288,What is additive in statistics
+3289,3289,What is additive regression
+3290,3290,How do you find the Dtft of a signal in Matlab
+3291,3291,How do you know if a distribution is lognormal
+3292,3292,How do you convert normal distribution to lognormal distribution
+3293,3293,Why is classification used in machine learning
+3294,3294,How is classification algorithm used
+3295,3295,What is multivariable regression analysis
+3296,3296,What do you mean by multivariate analysis
+3297,3297,How do you determine correlation significance
+3298,3298,How do you check if a correlation is significant in R
+3299,3299,How is stacking different from bagging and boosting
+3300,3300,What is bagging technique in machine learning
+3301,3301,How do you improve classifier performance
+3302,3302,What is linear transformation with example
+3303,3303,What is algebra of linear transformation
+3304,3304,What is a linear transformation of a matrix
+3305,3305,How do you show a linear transformation
+3306,3306,What is theory of decision making
+3307,3307,What is decision theory in AI
+3308,3308,What is the difference between Wilcoxon and Mann Whitney
+3309,3309,What is the difference between AI and CI
+3310,3310,What do the term computational intelligence systems signify
+3311,3311,How do you calculate the harmonic mean
+3312,3312,What is weight and bias in neural network
+3313,3313,What is network weight
+3314,3314,How do you set weights in neural network
+3315,3315,What is weight matrix in neural network
+3316,3316,Is TensorFlow deep learning
+3317,3317,Is TensorFlow good for machine learning
+3318,3318,What is latent variable in SEM
+3319,3319,What is pooling layer in CNN
+3320,3320,What are the different layers on CNN
+3321,3321,How is regression different from classification
+3322,3322,Why regression is better than classification
+3323,3323,Is Regression a predictive model
+3324,3324,What is embedding in deep learning
+3325,3325,What is the moment estimator for θ
+3326,3326,Why do we use activation functions
+3327,3327,Do all random variables have probability distributions
+3328,3328,What is the difference between variable and random variable
+3329,3329,Why does Stata drop dummy variables
+3330,3330,Why do we need dummy variables in regression
+3331,3331,What is panel data vs time series
+3332,3332,What is a time series data
+3333,3333,How do you make a dataset
+3334,3334,What is dataset in deep learning
+3335,3335,How do I create a Tensorflow dataset
+3336,3336,How do you create a training dataset for machine learning
+3337,3337,What is the difference between multiple regression and multivariate regression
+3338,3338,Is multivariate regression linear regression
+3339,3339,Which is an example of multiple regression
+3340,3340,How do you interpret multivariable regression
+3341,3341,What does non linearity mean
+3342,3342,Why do we need non linearity in neural network
+3343,3343,What is non linearity in CNN
+3344,3344,How do you evaluate a generative adversarial network
+3345,3345,How do generative adversarial networks work
+3346,3346,Where is the homunculus located
+3347,3347,How do you interpret hierarchical clustering results
+3348,3348,Is Hopfield network a recurrent neural network
+3349,3349,Which of the following characterizes learning in the Hopfield network
+3350,3350,What are the mean and variance for a binomial distribution
+3351,3351,What is the mean of a binomial distribution
+3352,3352,What is the relation between mean and variance of a Poisson distribution
+3353,3353,What are the benefits of stratified sampling
+3354,3354,How do we confirm causation between the variables
+3355,3355,What is iteration in neural network
+3356,3356,What is Batch_size
+3357,3357,What is difference between epoch and iteration
+3358,3358,What is Batch_size in Tensorflow
+3359,3359,How do you hook up a TensorBoard
+3360,3360,How do you use a keras TensorBoard
+3361,3361,How do you display a TensorFlow graph
+3362,3362,What is canny OpenCV
+3363,3363,What are some edge detection techniques
+3364,3364,How do you calculate joint PDF from marginal PDF
+3365,3365,What is a joint PDF
+3366,3366,How do you calculate a random variable PDF
+3367,3367,What would best describe a bimodal distribution
+3368,3368,How do you describe data distribution
+3369,3369,What are the advantages of non parametric tests
+3370,3370,What are the features of non parametric test
+3371,3371,What are the advantages of nonparametric tests over parametric tests
+3372,3372,What are the 4 probability rules
+3373,3373,Which are the laws of probability
+3374,3374,Can PCA be used to reduce the dimensionality of a non linear data
+3375,3375,Does PCA work on non linear data
+3376,3376,Is AUC a good performance measure
+3377,3377,Which service is used to suggest class bounding boxes
+3378,3378,Why principal component analysis is important in machine learning for feature extraction
+3379,3379,How do you calculate false negative rate from sensitivity and specificity
+3380,3380,How do you calculate false positive rate from confusion matrix
+3381,3381,How do you describe the distribution of categorical data
+3382,3382,Which of the following can be used to see the frequency distribution of a categorical variable
+3383,3383,How do you find the efficiency of an algorithm
+3384,3384,What is the efficiency class of this algorithm
+3385,3385,What is the efficiency of an algorithm dependent on
+3386,3386,Why is measuring algorithm efficiency important
+3387,3387,What is the average case time complexity of linear search
+3388,3388,What is the average case complexity of binary search
+3389,3389,What is the time complexity of interpolation search when the input array has uniformly distributed values and is sorted note that LG represents binary logarithm
+3390,3390,When can you use normal approximation
+3391,3391,Why do we approximate binomial with normal
+3392,3392,What are the conditions for using the normal approximation for a sampling distribution
+3393,3393,Which of the following is a representation learning algorithm
+3394,3394,What is mode used for in statistics
+3395,3395,What are the advantages of mode in statistics
+3396,3396,What are the application of artificial intelligence system
+3397,3397,What is AI applications and examples of AI
+3398,3398,What are the examples of artificial intelligence
+3399,3399,How do you find the Gaussian distribution
+3400,3400,How do you derive a distribution
+3401,3401,How do you prove standard normal distribution
+3402,3402,What is regularization and what problem does it try to solve
+3403,3403,How a neural net is used for classification
+3404,3404,Are neural networks part of deep learning
+3405,3405,What is neural network in deep learning
+3406,3406,What is a distribution function in probability
+3407,3407,What is distribution function and its properties
+3408,3408,What is model visualization
+3409,3409,How do you visualize an algorithm
+3410,3410,Why is random forest better than decision tree
+3411,3411,What is multi level approach
+3412,3412,What is multilevel analysis
+3413,3413,What is multilevel logistic regression
+3414,3414,Why is autocorrelation useful
+3415,3415,What is autocorrelation function in time series
+3416,3416,Why is ReLU used in hidden layers
+3417,3417,How do you calculate survival function
+3418,3418,What is survival probability
+3419,3419,Where is the rejection region for the hypothesis test located
+3420,3420,What does hypothesis mean in statistics
+3421,3421,What is hypothesis testing in probability and statistics
+3422,3422,How do you write a hypothesis in statistics
+3423,3423,How do you find the distribution of the sample mean
+3424,3424,What is the sampling distribution of the sample mean definition
+3425,3425,How do you find the mean of a distribution
+3426,3426,What is a suggested evaluation measure for a regression problem
+3427,3427,What is regression evaluation metrics
+3428,3428,How do you evaluate the performance of a regression prediction model
+3429,3429,What does it mean to be quantized
+3430,3430,What does it mean when energy is quantized
+3431,3431,What do statistical tests tell us
+3432,3432,What does the probability value of a statistical test tell you
+3433,3433,How do you evaluate statistical results
+3434,3434,Why is Gaussian distribution called normal
+3435,3435,Is Gaussian distribution same as normal distribution
+3436,3436,Why is it important to test the normality of a distribution
+3437,3437,Why do we assume normal distribution
+3438,3438,How do you measure association between categorical variables
+3439,3439,How do you know if data is continuous or categorical
+3440,3440,How do you compare two continuous variables
+3441,3441,Why sample variance is unbiased
+3442,3442,What is unbiased estimator of variance
+3443,3443,Is sample standard deviation an unbiased estimator
+3444,3444,How causation is not the same as correlation
+3445,3445,What is an example of correlation but not causation
+3446,3446,What does it mean if two variables are not correlated
+3447,3447,Which regression method is also known as the ordinary least squares estimation
+3448,3448,What is meant by least squares in a simple regression model
+3449,3449,What is the importance of statistical inference
+3450,3450,What is statistical inference Why is it important quizlet
+3451,3451,What does parametric mean in statistics
+3452,3452,Which types of data are normally used in parametric statistics
+3453,3453,How do you find the cross product of two vectors
+3454,3454,Why is cross product a vector
+3455,3455,How do I start learning data structures
+3456,3456,What is an objective function machine learning
+3457,3457,How can machine learning reduce bias
+3458,3458,How do you reduce the bias of an algorithm
+3459,3459,Why do we use bias in machine learning
+3460,3460,How do you do regression with a categorical variable
+3461,3461,Is sample variance equal to population variance
+3462,3462,How do you calculate population variance
+3463,3463,What is bias in data
+3464,3464,What is a bias in neural network
+3465,3465,What is AUC calculation
+3466,3466,What is area under the curve ROC
+3467,3467,How do you find the equation of the least squares regression line
+3468,3468,How do you find the equation of the regression line
+3469,3469,What is conjoint analysis not used for
+3470,3470,How do you conduct a conjoint analysis
+3471,3471,How do you calculate decision tree
+3472,3472,How do you calculate net gain decision tree
+3473,3473,What is information extraction in NLP
+3474,3474,What is relation classification
+3475,3475,What are examples of information extraction
+3476,3476,How does Entity extraction work
+3477,3477,How do you calculate absolute and relative error
+3478,3478,How do you calculate the absolute error
+3479,3479,How do you find the relative error
+3480,3480,What is relative error example
+3481,3481,What is meant by inter rater reliability
+3482,3482,How is inter rater reliability calculated
+3483,3483,How do you establish interrater reliability
+3484,3484,What is the difference between intra rater and inter rater reliability
+3485,3485,How do you deal with outliers in clustering
+3486,3486,How is an outlier related to a cluster
+3487,3487,Do outliers affect clustering
+3488,3488,What is your definition of learning
+3489,3489,What is the importance of learning how do you learn
+3490,3490,What is the study of learning
+3491,3491,What is learning and example
+3492,3492,Where is dimensional analysis used
+3493,3493,What tests how one variable is affected by another
+3494,3494,What is exponential distribution used for
+3495,3495,How do you find the exponential distribution
+3496,3496,What is the difference between Poisson and exponential distribution
+3497,3497,What is the use of regularization What are L1 and L2 regularization
+3498,3498,How do you rank up in Kruskal Wallis test
+3499,3499,How do you know which distribution is discrete
+3500,3500,What is meant by feature extraction
+3501,3501,What features are extracted in CNN
+3502,3502,What is feature extraction in neural network
+3503,3503,Why is the axiom of choice controversial
+3504,3504,Are disjoint sets mutually exclusive
+3505,3505,Can these two events be disjoint
+3506,3506,How do you prove two sets are disjoint
+3507,3507,Is AI the same as machine learning
+3508,3508,What is mean by machine learning
+3509,3509,What is the difference between AI machine learning and deep learning
+3510,3510,What is a good test retest reliability
+3511,3511,How do you calculate reliability using test retest
+3512,3512,How does deep learning learn
+3513,3513,What is gradient in gradient boosting
+3514,3514,What does false negative result mean
+3515,3515,What does a false negative look like
+3516,3516,What is true negative and false negative
+3517,3517,What are class boundaries
+3518,3518,What is class limit in frequency distribution
+3519,3519,What is a neuron in deep learning
+3520,3520,What is a neuron in neural network
+3521,3521,What are the main components of a Markov decision process
+3522,3522,Which of the following of a random variable is a measure of spread
+3523,3523,What does it mean for a random variable to be measurable
+3524,3524,What is big data analytics used for
+3525,3525,What is Big Data Analytics and why is it important
+3526,3526,Is big data part of data analytics
+3527,3527,What is the meaning of blurred image
+3528,3528,What does blurring mean
+3529,3529,How does a blur filter work
+3530,3530,What are parametric and nonparametric methods
+3531,3531,What is the mean and variance of geometric distribution
+3532,3532,What is continuous probability function
+3533,3533,What's the difference between PDF and CDF
+3534,3534,What does a probability density function tell us
+3535,3535,How do you find continuous probability
+3536,3536,How do you handle collinearity in regression
+3537,3537,Why Multicollinearity is a problem in regression
+3538,3538,How can we detect Multicollinearity
+3539,3539,What happens when there is Multicollinearity
+3540,3540,What does a significance level at P .05 mean
+3541,3541,Why is the P value of 0.05 somewhat arbitrary
+3542,3542,What does optical flow do
+3543,3543,What does normal distribution of data mean
+3544,3544,Is the data normally distributed
+3545,3545,How do you determine if data is normally distributed
+3546,3546,Is gradient descent a greedy algorithm
+3547,3547,What is Gaussian blur used for
+3548,3548,How is Gaussian filter implemented
+3549,3549,How do you interpret a correlation
+3550,3550,What is the relationship between covariance and the correlation coefficient
+3551,3551,What does COV XY mean
+3552,3552,Why SVM is large margin classifier
+3553,3553,What is margin in SVM
+3554,3554,How do you perform a regression analysis
+3555,3555,How do you analyze a regression line
+3556,3556,What is the use of regression analysis with example
+3557,3557,What is the difference between one and two sided hypothesis tests
+3558,3558,What is a one sided hypothesis
+3559,3559,How do you analyze statistical significance
+3560,3560,What is statistical significance in research
+3561,3561,What does a statistical significance of 0.05 mean
+3562,3562,What is the main problem of NLP
+3563,3563,What makes NLP difficult
+3564,3564,What are various challenges in NLP and how are they resolved
+3565,3565,How do Kalman filters work
+3566,3566,How do we determine noise covariance matrices Q & R
+3567,3567,Are Boltzmann machines still used
+3568,3568,Is confidence interval always two tailed
+3569,3569,How do you know if it's two tailed or one tailed
+3570,3570,Are confidence intervals symmetrical
+3571,3571,What is penalty in ridge regression
+3572,3572,Is Mean Deviation same as standard deviation
+3573,3573,What does standard deviation from the mean mean
+3574,3574,What are the different types of hashing techniques
+3575,3575,How many techniques are there for making a hashing function
+3576,3576,How do you create a hash function
+3577,3577,Which hashing technique is best
+3578,3578,What is normal approximation formula
+3579,3579,What is NP and NQ in statistics
+3580,3580,What is correlation and association
+3581,3581,What means that there is a relationship between two variables
+3582,3582,What is an association in statistics
+3583,3583,What is relative frequency distribution
+3584,3584,What does relative frequency mean in statistics
+3585,3585,How do you find the relative frequency of a distribution
+3586,3586,What is the role of philosophy in AI
+3587,3587,What is AI theory
+3588,3588,What is strong AI in philosophy
+3589,3589,Who came up with the idea of artificial intelligence
+3590,3590,What is probability and statistics class
+3591,3591,What is the importance of statistics and probability
+3592,3592,What are the statistics
+3593,3593,Is Probability and Statistics easy
+3594,3594,What is method comparison
+3595,3595,How do you compare measurements
+3596,3596,What are the 2 types of learning in AI
+3597,3597,What are the four different types of learning in AI
+3598,3598,What are the types of learning in machine learning
+3599,3599,Is sample variance biased or unbiased
+3600,3600,Is sample mean an unbiased estimator
+3601,3601,Why we use ARMA model
+3602,3602,Is ordinal data continuous or discrete
+3603,3603,Is a neural network a model
+3604,3604,Are neural networks probabilistic models
+3605,3605,What are two examples of graphical models
+3606,3606,What is the Student t distribution used for
+3607,3607,What is the basic shape of the Student t distribution
+3608,3608,Which discrete probability distribution has the highest entropy and why
+3609,3609,What is the entropy of a distribution
+3610,3610,What are the four assumptions of regression
+3611,3611,What assumptions are required for linear regression What if some of these assumptions are violated
+3612,3612,Is linear regression discriminative
+3613,3613,What is discrete and continuous probability
+3614,3614,What is discrete probability
+3615,3615,What is continuous probability
+3616,3616,How do you distribute a factorial
+3617,3617,What does factorial mean
+3618,3618,What does root mean square error tell you
+3619,3619,How does Arima forecasting work
+3620,3620,What is Arima model forecasting
+3621,3621,What is the difference between class limits and class boundaries choose the correct answer below
+3622,3622,What is the difference between limits and boundaries
+3623,3623,How do you find the relationship between categorical variables
+3624,3624,What is hypergeometric distribution used for
+3625,3625,Why is it called hypergeometric distribution
+3626,3626,What is the hypergeometric distribution formula
+3627,3627,How is true positive rate and recall related
+3628,3628,How do you determine K in K means clustering
+3629,3629,What kind of clusters that K means clustering algorithm produce
+3630,3630,What are the types of clustering
+3631,3631,What is the difference between AI and Cognitive Computing
+3632,3632,Is cognitive computing the same as machine learning
+3633,3633,What is the definition of algorithm
+3634,3634,What is the difference between cluster sampling and multistage sampling
+3635,3635,What is meant by multistage sampling
+3636,3636,How are weights calculated CNN
+3637,3637,What is the difference between RNN and CNN
+3638,3638,What is the difference between artificial neural network and convolutional neural network
+3639,3639,Where do you think AI could make the most impact
+3640,3640,What is Heisenberg Uncertainty Principle
+3641,3641,What is Heisenberg Uncertainty Principle Class 11
+3642,3642,When was Heisenberg's Uncertainty Principle
+3643,3643,What is momentum neural network
+3644,3644,What is momentum in deep learning
+3645,3645,What is the mean of the sampling distribution of the difference in sample means
+3646,3646,How do you cluster a categorical variable
+3647,3647,Can categorical data have a distribution
+3648,3648,Why do we use t instead of z
+3649,3649,Why do we use t statistics
+3650,3650,How important predictive analytics is in data analytics
+3651,3651,How do I create a variable categorical in SPSS
+3652,3652,How do you categorize continuous variables
+3653,3653,What is the purpose of adding a regularization term to a loss function
+3654,3654,What is sequential model in CNN
+3655,3655,What is sequential model in machine learning
+3656,3656,Is P value the probability of type 1 error
+3657,3657,What is RMS accuracy
+3658,3658,What is RMS error in GIS
+3659,3659,What is the use of thresholding an image
+3660,3660,What does image thresholding mean
+3661,3661,What is thresholding based image segmentation
+3662,3662,Why unsupervised learning is used
+3663,3663,What is a small coefficient of variation
+3664,3664,What does a Gaussian distribution tell us
+3665,3665,Why Gaussian distribution is important
+3666,3666,Why is the Gaussian distribution often used in machine learning
+3667,3667,What is Gaussian distribution in probability
+3668,3668,What is margin in CSS box model
+3669,3669,How do you know if a regression line is linear
+3670,3670,Is quantile regression nonparametric
+3671,3671,What does F distribution tell us
+3672,3672,What is F distribution used for
+3673,3673,What does F value stand for
+3674,3674,What can you do with artificial intelligence
+3675,3675,How artificial intelligence is useful to us
+3676,3676,How do you interpret a linear regression
+3677,3677,What does the regression equation tell you
+3678,3678,What is the use of face detection
+3679,3679,What is meant by face recognition
+3680,3680,What is the difference between face recognition and detection
+3681,3681,What is the difference between recognition and detection
+3682,3682,What happens when a distribution is positively skewed
+3683,3683,What does a positive skew tell you
+3684,3684,What does positively skewed histogram mean
+3685,3685,What does a positive skew mean in box plots
+3686,3686,What is the difference between multi class and multi label classification
+3687,3687,What are the uses of augmented reality
+3688,3688,What is augmented reality example
+3689,3689,What is augmented reality and how does it work
+3690,3690,What is augmented reality and its applications
+3691,3691,How do you interpret Pearson product moment correlation
+3692,3692,What does the Pearson product moment correlation coefficient measure when is it appropriate to use
+3693,3693,How do you find the z score of a test statistic
+3694,3694,What is the difference between a Z test and a t test
+3695,3695,What does Z score mean in statistics
+3696,3696,How does a transition matrix work
+3697,3697,How do you tell if a matrix is a transition matrix
+3698,3698,What is transition matrix model
+3699,3699,What is transition matrix in Markov chain
+3700,3700,How do you analyze regression results
+3701,3701,How do you interpret OLS regression results
+3702,3702,How do you interpret multiple regression results
+3703,3703,What is the purpose of hierarchical clustering
+3704,3704,What is the function of a hierarchical analysis
+3705,3705,What are the types of hierarchical clustering
+3706,3706,What is hierarchical clustering in machine learning
+3707,3707,Which machine learning algorithms is used for dimensionality reduction
+3708,3708,What is classification and regression
+3709,3709,What is the difference between a classification tree and a regression tree
+3710,3710,What is classification tree analysis
+3711,3711,How does classification and regression tree work
+3712,3712,What is the use of image classification
+3713,3713,What is image recognition in AI
+3714,3714,Why is image recognition a key function of AI
+3715,3715,What are Gaussian models
+3716,3716,What is Gaussian process classification
+3717,3717,How do you sample a Gaussian process
+3718,3718,How does convolutional neural networks work
+3719,3719,How does a convolution work
+3720,3720,What is the benefit of clustering
+3721,3721,Is Gan a generative model
+3722,3722,What is r squared equal to
+3723,3723,How do you calculate RMSE in linear regression in R
+3724,3724,What is Minimax algorithm in artificial intelligence
+3725,3725,How can we use normal distribution in real life
+3726,3726,What are the examples of discrete probability distribution
+3727,3727,Does TensorFlow use backpropagation
+3728,3728,Is the brain a neural network
+3729,3729,Does unsupervised learning use backpropagation
+3730,3730,How do you predict a decision tree
+3731,3731,How does Decision Tree algorithm work for regression
+3732,3732,How do you train a regression tree
+3733,3733,How do you determine the depth of a decision tree
+3734,3734,How do you split data into training testing and validation
+3735,3735,Which method do we use to split the data
+3736,3736,What does a determinant tell you
+3737,3737,What is a determinant and how is it evaluated
+3738,3738,Is Det AB )= det A det B
+3739,3739,What are generative and discriminative algorithms
+3740,3740,Which variables are always discrete
+3741,3741,How do you know if a variable is discrete or continuous
+3742,3742,How are sampling distributions different from other distributions
+3743,3743,How do you find the probability of a false positive
+3744,3744,What is the probability of a false positive pregnancy test
+3745,3745,What is considered a false positive
+3746,3746,Which technique is used to help reduce experimenter bias
+3747,3747,How can research bias be avoided
+3748,3748,How do you control the experimenter effect
+3749,3749,How do you use continuity correction in statistics
+3750,3750,How accurate is the normal method with the continuity correction
+3751,3751,How do you calculate a Boxplot
+3752,3752,How do you find the results of a box plot
+3753,3753,How do box plots work
+3754,3754,How accurate is the normal method with and without the continuity correction
+3755,3755,What happens when we introduce more variables to a linear regression model Mcq
+3756,3756,Can linear regression have multiple variables
+3757,3757,What is multi head Turing machine
+3758,3758,Does a universal Turing machine exists
+3759,3759,What are the 2 types of prediction
+3760,3760,What is data prediction
+3761,3761,What is regression and prediction
+3762,3762,What is training function in neural network
+3763,3763,What is neural network processing
+3764,3764,What is difference between training data and test data
+3765,3765,Can I use same data for training and testing
+3766,3766,Can decision trees be used for performing clustering True or false
+3767,3767,Which of the following can be used for clustering data
+3768,3768,Is Autoencoder deep neural network
+3769,3769,What do you know about Autoencoders
+3770,3770,What does AI mean in photography
+3771,3771,What is the use of AI mode in camera
+3772,3772,What is convergence in ML
+3773,3773,What is convergence in reinforcement learning
+3774,3774,How can a regression model be improved
+3775,3775,What are the possible ways of improving the accuracy of a linear regression model
+3776,3776,Which is an improved form of linear regression
+3777,3777,What is deep learning learning
+3778,3778,How does deep learning work
+3779,3779,What does Canonical mean in statistics
+3780,3780,What does false alarm mean
+3781,3781,What is the false alarm rate
+3782,3782,How do you find the probability of a false alarm
+3783,3783,Why do we check normality of data
+3784,3784,How do you perform multi label classification
+3785,3785,What is multi label text classification
+3786,3786,What is multi output classification
+3787,3787,How do I report inter rater reliability
+3788,3788,How is the kappa statistic calculated
+3789,3789,How do you use Cohen's kappa
+3790,3790,How do you interpret a general linear model
+3791,3791,What is the GLM function in R
+3792,3792,How do you know if a sample is unbiased
+3793,3793,Is the sample range an unbiased estimator
+3794,3794,Is a sample variance biased or unbiased
+3795,3795,How does forward propagation work
+3796,3796,Why do we use feedforward neural network
+3797,3797,What is neural propagation
+3798,3798,What is the meaning of quota sampling
+3799,3799,Is random forest classification or regression
+3800,3800,What is random forest Regressor
+3801,3801,How does random forest Regressor work
+3802,3802,What is random classifier
+3803,3803,What does negative skewness mean
+3804,3804,How do you interpret a negatively skewed distribution
+3805,3805,What is the difference between Pearson correlation and Spearman correlation
+3806,3806,Is Pearson correlation the same as correlation coefficient
+3807,3807,What does the Pearson correlation coefficient mean
+3808,3808,What is difference between RMS and true RMS
+3809,3809,How do you create a frequency distribution
+3810,3810,Why do we construct frequency distribution
+3811,3811,What is a neuron in neural networks
+3812,3812,What are logical fallacies name two types and explain what they are
+3813,3813,What are the 12 logical fallacies
+3814,3814,What does a principal component analysis tell you
+3815,3815,What is principal component analysis PCA when it is used
+3816,3816,What are the assumptions of OLS
+3817,3817,What are the standard assumptions for applying the traditional OLS regression framework
+3818,3818,What is the objective function of k means algorithm
+3819,3819,What are the objectives of clustering
+3820,3820,How do you measure performance of K means clustering
+3821,3821,What are outliers How do you detect and treat them
+3822,3822,How do you explain outliers in data
+3823,3823,What are the methods we discussed to detect outliers in the data
+3824,3824,What is the difference between t test and paired t test
+3825,3825,What is the T in at test
+3826,3826,What is descriptors in image processing
+3827,3827,What are descriptors in machine learning
+3828,3828,Can a regression line be nonlinear
+3829,3829,What is a nonlinear regression model
+3830,3830,Why is sentiment analysis useful
+3831,3831,How are categorical variables used in machine learning
+3832,3832,Can a normal distribution always be used to approximate a binomial distribution
+3833,3833,Why can we approximate binomial with normal
+3834,3834,How do you convert a normal distribution to a binomial distribution
+3835,3835,How do you approximate probability using normal distribution
+3836,3836,What is cross validation technique in data mining
+3837,3837,What is N fold cross validation
+3838,3838,What is necessary to determine the sample size
+3839,3839,How do you determine sample size for a study
+3840,3840,How do you interpret a path coefficient
+3841,3841,What is path coefficient analysis
+3842,3842,What is path analysis in research
+3843,3843,Which is an example of feature extraction
+3844,3844,What is feature extraction and feature selection
+3845,3845,What are the different optimization techniques
+3846,3846,Why do we need optimization techniques
+3847,3847,What does regression toward the mean mean
+3848,3848,What is regression to the mean bias
+3849,3849,Why is it called regression
+3850,3850,What are the statistical methods to analyze experimental information
+3851,3851,What are the 3 basic principles of statistical design of experiments
+3852,3852,What is post hoc in statistics
+3853,3853,What is Laplace smoothing in naive Bayes
+3854,3854,What is RNN and CNN
+3855,3855,How do you Analyse data using chi square
+3856,3856,What is the formula for calculating probability
+3857,3857,What is probability and its formula
+3858,3858,What is the equation for probabilistic
+3859,3859,What is the problem with confirmation bias
+3860,3860,What are the example of sampling technique
+3861,3861,What is meant by power spectral density
+3862,3862,How do you calculate power from power spectral density
+3863,3863,What does negative correlation coefficient mean
+3864,3864,Can a coefficient be negative
+3865,3865,What does the coefficient in a regression tell you
+3866,3866,How do you know if a regression coefficient is significant
+3867,3867,What is feature in feature extraction
+3868,3868,How is conditional probability used in real life
+3869,3869,What is the difference between simple random sampling and convenience sampling
+3870,3870,Is Multicollinearity a data problem
+3871,3871,How do you deal with Multicollinearity machine learning
+3872,3872,Why is Collinearity a problem
+3873,3873,What is mean by filtering in computer
+3874,3874,How do you apply mean filter
+3875,3875,What is filtering in image processing
+3876,3876,What is batch processing
+3877,3877,What is batch processing with example
+3878,3878,How does a histogram indicate a normal distribution
+3879,3879,Is histogram same as normal distribution
+3880,3880,How is a normal distribution related to probability distribution
+3881,3881,Who introduced histogram as the probability distribution of a continuous variable
+3882,3882,How do you handle class imbalance in deep learning
+3883,3883,What is the objective of the AI data pipeline
+3884,3884,What is model pipeline
+3885,3885,How do you build a machine learning Pipeline
+3886,3886,What is the function of the indicator in a titration
+3887,3887,Is discrete variable quantitative
+3888,3888,Is year a discrete or continuous variable
+3889,3889,What is the formula for reliability
+3890,3890,How do you measure reliability
+3891,3891,Why is a stratified sample better than a random sample
+3892,3892,Where is stratified sample preferred
+3893,3893,Which sampling method is best and why
+3894,3894,What are the 11 fallacies
+3895,3895,How many types of fallacies are there
+3896,3896,How is AI used in data science
+3897,3897,Is data science needed for AI
+3898,3898,Is quota sampling the same as stratified sampling
+3899,3899,What is sequential data
+3900,3900,What is sequential data in machine learning
+3901,3901,How do you calculate coefficient of learning
+3902,3902,What if the learning rate is too high
+3903,3903,What is η in learning process
+3904,3904,What is angular change detection
+3905,3905,How do you decide which classifier to use
+3906,3906,How can you choose a classifier based on training set size
+3907,3907,What are the various methods used to determine the best classification model
+3908,3908,How do you find the mean of a bivariate normal distribution
+3909,3909,What is the meaning of bivariate distribution
+3910,3910,What does it mean when a variable is normally distributed
+3911,3911,What is a bivariate random variable
+3912,3912,How Artificial Neural networks learn
+3913,3913,Is artificial neural network and neural network same
+3914,3914,Is AI and deep learning same
+3915,3915,How do you measure semantic similarity between words
+3916,3916,What is syntactic similarity
+3917,3917,What are the two types of estimation
+3918,3918,What is the purpose of estimating
+3919,3919,What are the estimation methods
+3920,3920,What is sampling with replacement and why is it used
+3921,3921,What is sampling without replacement in statistics
+3922,3922,What is the difference between sampling with and without replacement
+3923,3923,What is called random error
+3924,3924,What is Epsilon greedy
+3925,3925,Does regression require explanatory and response variable
+3926,3926,What is Exploratory Regression
+3927,3927,Is Knn affected by feature scaling
+3928,3928,What is algorithm and its uses
+3929,3929,Which is predictive model
+3930,3930,Is linear regression a predictive model
+3931,3931,How do you make a Markov chain
+3932,3932,How do you do a Markov analysis
+3933,3933,What is Manhattan distance formula
+3934,3934,What is TensorFlow and how does it work
+3935,3935,How is TensorFlow built
+3936,3936,What are the benefits of TensorFlow
+3937,3937,What is the difference between a class object and an instance object
+3938,3938,What is the difference between a class and an instance of a class
+3939,3939,What is backpropagation algorithm in neural network
+3940,3940,What do you mean by back propagation
+3941,3941,What is the major difference between image classification and image segmentation
+3942,3942,What is the purpose of image segmentation
+3943,3943,What does an image segmentation model generate as an output
+3944,3944,Which one is the regularization method for linear regression
+3945,3945,Under which of the following conditions is it preferable to use a cluster sampling method rather than simple random sample
+3946,3946,What is kernel in CNN
+3947,3947,What is filter kernel
+3948,3948,Why is logistic regression sensitive to outliers
+3949,3949,Do outliers affect regression
+3950,3950,How do you deal with outliers in regression
+3951,3951,Which algorithms are sensitive to outliers
+3952,3952,How does LDA reduce dimensionality
+3953,3953,What is difference between PCA and LDA
+3954,3954,What is greedy approach in algorithm
+3955,3955,What is the difference between greedy and dynamic approach
+3956,3956,How do you deal with concept drift
+3957,3957,What is model drift in machine learning
+3958,3958,What is feature drift
+3959,3959,What is bias vs variance tradeoff
+3960,3960,What is bias in regression
+3961,3961,Why do convolutions occur
+3962,3962,How do convolutions improve image recognition
+3963,3963,What is the difference between inductive and deductive machine learning
+3964,3964,What is deductive learning in machine learning
+3965,3965,What is test strategy with example
+3966,3966,What are the different test design techniques
+3967,3967,Can Lasso be used for logistic regression
+3968,3968,What is asynchronous update in neural network
+3969,3969,How many hidden layers are there in a Hopfield network
+3970,3970,How does FDR correction work
+3971,3971,Is FDR the same as adjusted p value
+3972,3972,What is LeakyReLU
+3973,3973,What is the difference between ReLU and sigmoid activation function
+3974,3974,Why do I have LeakyReLU
+3975,3975,What is the difference between panel data and time series data
+3976,3976,Do you think it is possible to combine time series and cross sectional data and analysis
+3977,3977,How do you determine optimal batch size
+3978,3978,What does a Gini coefficient of 0.4 mean
+3979,3979,What is a good Gini index score
+3980,3980,What is the purpose of logistic regression
+3981,3981,What is the main purpose of logistic regression Do you know other regression that can provide similar estimates
+3982,3982,What is logistic regression with example
+3983,3983,What is the meaning of logistic regression
+3984,3984,What is the process of dimensional analysis
+3985,3985,How do you do a two step dimensional analysis
+3986,3986,How do you calculate FFT frequency
+3987,3987,How do you find the fundamental frequency of a signal using FFT
+3988,3988,What is FFT frequency
+3989,3989,What is decomposition model
+3990,3990,Why is the multiplicative model the most commonly used in time series analysis
+3991,3991,What is reinforcement learning explain with example
+3992,3992,What is reinforcement learning in simple words
+3993,3993,What happens if power factor increases
+3994,3994,What is backward chaining in AI
+3995,3995,How does the brain work as a neural network
+3996,3996,Which type of problems can be solved by reinforcement learning
+3997,3997,Can reinforcement learning be used for prediction
+3998,3998,Where is data visualization used
+3999,3999,What is the purpose of Visualisation
+4000,4000,What are the benefits of Visualisation
+4001,4001,What type of learning is Knn
+4002,4002,What does it mean for two events to be independent give an example
+4003,4003,What is an example of independent probability
+4004,4004,How would you use independent and dependent events in real life
+4005,4005,Is Adam optimizer good
+4006,4006,Why does SGD generalize better than Adam
+4007,4007,Does Adam Optimizer have momentum
+4008,4008,What are different ways of measuring data similarity and dissimilarity in data mining
+4009,4009,Is deep learning better than machine learning
+4010,4010,Can I start deep learn without machine learning
+4011,4011,What do moments in statistics tell us
+4012,4012,What is the use of moments
+4013,4013,What are moments of a distribution
+4014,4014,Are neurons visible
+4015,4015,Can we see neurons firing
+4016,4016,Do Neurons pass information
+4017,4017,Does PCA help random forest
+4018,4018,What is confidence score in object detection
+4019,4019,How do you evaluate an object detection model
+4020,4020,What is AP50 in object detection
+4021,4021,How do you create a data set for a neural network
+4022,4022,How do you create a dataset
+4023,4023,How do neural networks train data
+4024,4024,What does signal detection theory mean
+4025,4025,What is class interval example
+4026,4026,What is class interval in frequency distribution
+4027,4027,What is the relationship between arithmetic mean geometric mean and harmonic mean
+4028,4028,How do you find the normalized z score
+4029,4029,How do you normalize data using Z score
+4030,4030,How do you Normalise a score
+4031,4031,Why is z score normalized
+4032,4032,What is backward elimination method
+4033,4033,Is stepwise regression bad
+4034,4034,What is an example of quantitative continuous data
+4035,4035,Why is exponential distribution used
+4036,4036,What are the characteristics of exponential distribution
+4037,4037,What is exponential distribution in Simulation
+4038,4038,Which TensorFlow function can you use to configure a categorical column if you don't know all of the possible values for that column
+4039,4039,What is kernel in SVM
+4040,4040,Why kernel trick is used in SVM
+4041,4041,What does eigenvalue and eigenvector represent
+4042,4042,What does eigen value mean
+4043,4043,What is eigenvector in machine learning
+4044,4044,What is eigen value analysis
+4045,4045,What is the meaning of logarithm
+4046,4046,What is log10 equal to
+4047,4047,What does it mean to say that events occur randomly
+4048,4048,What is cross entropy loss function
+4049,4049,How CDF is derived from PDF
+4050,4050,What is the derivative of a PDF
+4051,4051,What is difference between data mining and data analytics
+4052,4052,What is data mining and analysis
+4053,4053,How data mining is used in data analysis
+4054,4054,What is the difference between data and analysis
+4055,4055,What are the specific ways anomalies are detected
+4056,4056,What is an anomaly detection system
+4057,4057,How do you implement anomaly detection
+4058,4058,How do you find the sample mean from the population mean
+4059,4059,Why is it important to distinguish between correlation and cause and effect quizlet
+4060,4060,How do you distinguish between correlation and causation
+4061,4061,Why is it a fallacy to confuse causation and correlation provide an example of a statement that confuses causation with correlation
+4062,4062,What is the difference between correlation and causation examples
+4063,4063,What does statistical model mean
+4064,4064,Why are statistical models used
+4065,4065,Why is Bayesian statistics important
+4066,4066,What does Contravariant mean
+4067,4067,What are the applications of Fourier transform
+4068,4068,Why do we use Fourier transform in signal processing
+4069,4069,What is the benefit of using Fourier transform
+4070,4070,Is anomaly detection machine learning
+4071,4071,Is outlier analysis supervised learning
+4072,4072,What is gradient ML
+4073,4073,What is meant by gradient descent in a neural network
+4074,4074,What is gradient computer science
+4075,4075,What is loss in epoch
+4076,4076,What is the purpose of test retest reliability
+4077,4077,How do you use test retest reliability
+4078,4078,What is test retest effect
+4079,4079,Why do we calculate average deviation
+4080,4080,What is the average deviation from the mean
+4081,4081,How mean deviation is calculated
+4082,4082,How do you show independence in probability
+4083,4083,Are A and B independent
+4084,4084,What are the limitations of K means clustering
+4085,4085,Do K means clustering
+4086,4086,What is the maximum value of variance of binomial distribution
+4087,4087,What is the maximum value of variance
+4088,4088,What is the variance of a binomial distribution
+4089,4089,How do you find the largest variance
+4090,4090,What are the two main benefits of early stopping
+4091,4091,What is overtraining in machine learning
+4092,4092,What is SVM used for
+4093,4093,What is support vector machines with example
+4094,4094,What are boosting methods
+4095,4095,How does boosting reduce bias
+4096,4096,What is neural collaborative filtering
+4097,4097,What is the difference between content filtering and collaborative filtering
+4098,4098,Is SVD matrix factorization
+4099,4099,What is OLS and MLE
+4100,4100,How is AUC ROC score calculated
+4101,4101,What does ROC AUC score mean
+4102,4102,What is back propagation in neural network Mcq
+4103,4103,How do you handle Multicollinearity in SPSS
+4104,4104,What is the mean of a gamma distribution
+4105,4105,What are advantages of probability sampling
+4106,4106,What are the advantages and disadvantages of non probability sampling
+4107,4107,What are the advantages and disadvantages of sampling
+4108,4108,What are the advantages and disadvantages of systematic sampling
+4109,4109,Why do we use tensors
+4110,4110,What is a real world use of tensors
+4111,4111,Why are tensors used in machine learning
+4112,4112,What is the difference between a tensor and a matrix
+4113,4113,How do you calculate fitness value
+4114,4114,What is score model in machine learning
+4115,4115,What is a good model score
+4116,4116,What is hidden units in Lstm
+4117,4117,What is cell in Lstm
+4118,4118,What is output of Lstm
+4119,4119,How do you analyze data from a scatter plot
+4120,4120,What is the use of scatter plot in analysis
+4121,4121,Which statement is true about using scatter plots to make predictions
+4122,4122,What is the difference between hashing and tokenization
+4123,4123,How do you use linear regression to predict data
+4124,4124,How do you use the regression equation to make predictions
+4125,4125,How is regression related to prediction
+4126,4126,Can linear regression be used for forecasting
+4127,4127,Where is the mean Located on a normal curve
+4128,4128,Where is the mean on a bell curve
+4129,4129,What is the value of mean in normal distribution
+4130,4130,What are the features of back propagation algorithm
+4131,4131,How is the training algorithm performed in back propagation neural networks
+4132,4132,How do you analyze time series data in R
+4133,4133,What is stationary data in time series
+4134,4134,What is hindsight bias example
+4135,4135,How does hindsight bias affect decision making
+4136,4136,Why do we use hindsight bias
+4137,4137,What does hindsight mean
+4138,4138,When can you use divergence test
+4139,4139,Why do series diverge
+4140,4140,How do I optimize a Tensorflow model
+4141,4141,What is autotune in Tensorflow
+4142,4142,How do you find the critical region of a one tailed test
+4143,4143,What is the rejection region for a two tailed test
+4144,4144,How do I know if it is a one or two tailed test
+4145,4145,How do you calculate W in SVM
+4146,4146,Why is W orthogonal to the separating hyperplane
+4147,4147,What is Hyper plane in SVM
+4148,4148,What is model performance
+4149,4149,What is SVM loss function
+4150,4150,What is the loss function that linear SVM optimizes
+4151,4151,What is the shape of the loss landscape during optimization of SVM
+4152,4152,How do you start linear algebra
+4153,4153,What is the 2 norm
+4154,4154,How many classes are there in ImageNet
+4155,4155,What are the classes in ImageNet
+4156,4156,What is the size of ImageNet
+4157,4157,Who created ImageNet
+4158,4158,Is linear regression robust to outliers
+4159,4159,Why would you use a regression
+4160,4160,How do you determine the accuracy of a model
+4161,4161,How do you test the accuracy of a logistic regression model
+4162,4162,Why genetic algorithm is better than Hill climbing
+4163,4163,What is Pretraining and fine tuning
+4164,4164,Why is AI biased
+4165,4165,What is algorithm bias in AI
+4166,4166,What is meant by sampling method Class 11
+4167,4167,What is meant by sample
+4168,4168,Which matrix is used in hierarchical clustering
+4169,4169,Which distance is used by K means clustering
+4170,4170,How do you control for confounding variables in an experiment
+4171,4171,What are confounding variables and why do we need to control them in an experiment
+4172,4172,What is the difference between supervised and unsupervised learning in machine learning
+4173,4173,When should we use unsupervised learning
+4174,4174,How do you find the sample size of a normal distribution
+4175,4175,How do you find the sampling distribution of the mean
+4176,4176,How do you boost someone up
+4177,4177,Is boosting illegal
+4178,4178,Is cross validation used to select Hyperparameters
+4179,4179,How does neural network training work
+4180,4180,How does a simple neural network work
+4181,4181,How do you collect cross sectional data
+4182,4182,What happens when the learning rate is large vs small
+4183,4183,What is the disadvantage of big learning rate
+4184,4184,How does learning rate affect accuracy
+4185,4185,Can learning rate be negative
+4186,4186,Can you integrate a matrix
+4187,4187,Can you take the derivative of a vector
+4188,4188,What happens when you take the derivative
+4189,4189,What is the difference between artificial intelligence and machine learning
+4190,4190,What is the difference between ML and DL and AI
+4191,4191,What is the law of large numbers in probability
+4192,4192,What is the theory of large numbers
+4193,4193,How do I see hidden layers in neural network
+4194,4194,What is hidden layers in deep learning
+4195,4195,How many hidden layers does CNN have
+4196,4196,Is output layer a hidden layer
+4197,4197,What are the properties of method of maximum likelihood estimator
+4198,4198,How do you show a vector space
+4199,4199,What does a vector space look like
+4200,4200,How do you balance a dataset imbalance
+4201,4201,What is considered imbalanced dataset
+4202,4202,How can neural network output be updated
+4203,4203,How does machine learning get data
+4204,4204,How do they collect data
+4205,4205,How does artificial intelligence collect data
+4206,4206,What is data and how is it collected
+4207,4207,What is Design of Experiments in statistics
+4208,4208,What is statistical design
+4209,4209,What is statistical experiment
+4210,4210,How do you know the accuracy of a model
+4211,4211,How will you measure the performance of machine learning model
+4212,4212,What is data drift in machine learning
+4213,4213,What is drift problem
+4214,4214,What is model drift
+4215,4215,Why multiple linear regression is used
+4216,4216,What are some applications of multiple regression models
+4217,4217,Is multiple regression better than simple regression
+4218,4218,Is this distribution unimodal or bimodal
+4219,4219,What does multimodal distribution mean
+4220,4220,When should a mixed factorial Anova be used
+4221,4221,What is a main effect in factorial Anova
+4222,4222,When should a parametric test be used
+4223,4223,How do you find the Z test statistic for a hypothesis test
+4224,4224,How do you calculate z test
+4225,4225,How do you read a Z table for hypothesis testing
+4226,4226,How do you find Z critical in hypothesis testing
+4227,4227,How do you find marginal PDF
+4228,4228,What is the marginal distribution of X
+4229,4229,What is the XOR operator
+4230,4230,What is neural network theory
+4231,4231,How do you know if something is normally distributed
+4232,4232,What makes a sample distribution normal
+4233,4233,What are the two types of activation
+4234,4234,What is signal processing used for
+4235,4235,What are the different types of signals
+4236,4236,What is Gaussian kernel function
+4237,4237,What is meant by quantile
+4238,4238,What is a quantile describe how a quantile and quartile are related
+4239,4239,What is the difference between percentile and quantile
+4240,4240,How are Quantiles calculated
+4241,4241,How do you deploy artificial intelligence
+4242,4242,What is deployment in AI
+4243,4243,What is sample and sampling frame
+4244,4244,What is the difference between sampling unit and sampling frame
+4245,4245,What is meant by activation function in neural network
+4246,4246,Why is the denominator in the standard deviation formula equal to N 1 instead of N
+4247,4247,Is standard deviation over N or N 1
+4248,4248,What is random sampling and its types
+4249,4249,How many types of random sampling are there
+4250,4250,What is time series analysis and how it is used
+4251,4251,How do you do time series analysis
+4252,4252,Which method is used for time series data
+4253,4253,What is Time Series Analysis in accounting
+4254,4254,Why do we need scalable machine learning
+4255,4255,How do you make a scalable machine learning system
+4256,4256,What is scale in machine learning
+4257,4257,Can you run correlations with categorical variables
+4258,4258,Does dual boot affect performance
+4259,4259,What type of machine learning algorithm is suitable for predicting the continuous dependent variable
+4260,4260,Which algorithm is most widely used in machine learning
+4261,4261,What is continuous data in machine learning
+4262,4262,Which regression algorithm predicts continuous values
+4263,4263,What is meant by backtracking algorithm
+4264,4264,Is backtracking a greedy algorithm
+4265,4265,What is the benefit of convolutional neural network
+4266,4266,What are the reasons for using feature scaling
+4267,4267,What is ML prediction
+4268,4268,How do predictions work
+4269,4269,Is the estimator unbiased
+4270,4270,What is strides in convolution
+4271,4271,How do you determine the number of nodes in a hidden layer
+4272,4272,How many hidden nodes are there
+4273,4273,How many neurons does a hidden layer have
+4274,4274,What is continuous class interval
+4275,4275,What is the difference between class interval and class size in statistics
+4276,4276,How do you know if a hypothesis is two tailed
+4277,4277,What are the two hypotheses used in hypothesis testing
+4278,4278,How do you convert unstructured data to structured data
+4279,4279,Can we convert unstructured data into structured data
+4280,4280,What is the probability density function of a normal distribution
+4281,4281,What is the probability density function
+4282,4282,How do you find the distribution function from a probability density function
+4283,4283,What is hyper parameter in machine learning
+4284,4284,How will you differentiate between parameters and hyper parameters give examples
+4285,4285,What is a tensor image
+4286,4286,What does tensor mean in TensorFlow
+4287,4287,What are tensors in machine learning
+4288,4288,What do you expect will happen with bias and variance as you increase the size of training data
+4289,4289,What is the difference between relative frequency and probability
+4290,4290,Why is naive Bayes better
+4291,4291,What are the disadvantages of naive Bayes
+4292,4292,What is a moment in stats
+4293,4293,How do you calculate raw moments
+4294,4294,How do you graph a cumulative frequency distribution
+4295,4295,What graph represents a frequency distribution
+4296,4296,How do you read a cumulative frequency graph
+4297,4297,Is GLM logistic regression
+4298,4298,What is the GLM
+4299,4299,Is a general linear model an Anova
+4300,4300,What is probability sampling techniques in research
+4301,4301,What are the types of probability sampling techniques
+4302,4302,What is a sampling technique
+4303,4303,What is decision tree regression why is it used for
+4304,4304,What objective function do regression trees minimize
+4305,4305,Who would you describe as an outlier
+4306,4306,Why would a person be considered an outlier
+4307,4307,What does a Gaussian blur do
+4308,4308,How is Gaussian blur calculated
+4309,4309,Can Gaussian blur be undone
+4310,4310,How do you find the marginal distribution
+4311,4311,What is marginal distribution example
+4312,4312,What does conditional distribution mean
+4313,4313,What is the difference between training and validation
+4314,4314,What is multi view learning
+4315,4315,What is sigmoid activation function
+4316,4316,How do you combine different machine learning models
+4317,4317,How do you Ensemble two models
+4318,4318,How do you compare two ML models
+4319,4319,How do you combine two classifiers in Python
+4320,4320,How do you solve maximum likelihood estimation
+4321,4321,What does maximum likelihood estimate mean
+4322,4322,What is deep learning and neural network
+4323,4323,What is considered a deep neural network
+4324,4324,Is Ann machine learning or deep learning
+4325,4325,How do you determine an outlier
+4326,4326,Is multiple regression A linear regression
+4327,4327,What does multiple regression tell you
+4328,4328,Which model is best for regression
+4329,4329,What type of algorithm is linear regression
+4330,4330,Is Knn used for regression
+4331,4331,How does learning rate affects neural network
+4332,4332,What does the learning rate do
+4333,4333,Is NLP machine learning or AI
+4334,4334,Is NLP an algorithm
+4335,4335,Why would one use the t distribution over the normal
+4336,4336,Does t test require normal distribution
+4337,4337,Do t distributions have less spread than the normal distribution
+4338,4338,What does convolutional neural network do
+4339,4339,What does convolutional mean
+4340,4340,Why it is called convolutional neural network
+4341,4341,What is convolution in deep learning
+4342,4342,Is equilibrium maximum entropy
+4343,4343,Why is entropy measured in J K
+4344,4344,What does it mean to prune a decision tree
+4345,4345,What is N gram model in NLP
+4346,4346,How do you handle n gram unknown words
+4347,4347,How do you define a hyperplane
+4348,4348,How do you select Hyperplane in SVM
+4349,4349,What is W and B in SVM
+4350,4350,How can you make a prediction given a set of data
+4351,4351,How do you predict test data
+4352,4352,Why is omitted variable bias a problem
+4353,4353,What are the consequences of having an omitted variable
+4354,4354,How do you know if omitted variable bias
+4355,4355,What is a topic in topic modeling
+4356,4356,How many topic modeling techniques do you know of
+4357,4357,What is shrinkage coefficient
+4358,4358,Is model complexity reduced because of the coefficient shrinkage
+4359,4359,What is embedding neural network
+4360,4360,What is mean by random experiment
+4361,4361,What does random mean in probability
+4362,4362,How are CNN parameters calculated
+4363,4363,What is parameter in deep learning
+4364,4364,What are the methods of simple random sampling
+4365,4365,What is the difference between factor analysis and PCA
+4366,4366,Should I use PCA or factor analysis
+4367,4367,What is factor analysis
+4368,4368,What does subsampling mean
+4369,4369,Which neural network is best for binary classification
+4370,4370,What is difference between resolution and accuracy
+4371,4371,What is model optimization in machine learning
+4372,4372,What is the difference between independent and dependent events give an example
+4373,4373,What do you mean by perceptual map
+4374,4374,Is text analytics part of NLP
+4375,4375,Which language can be used to perform text analytics
+4376,4376,What is text data processing
+4377,4377,How do you analyze text data
+4378,4378,What are weights in neural network
+4379,4379,What are model weights used for
+4380,4380,What is difference between supervised and unsupervised learning with examples
+4381,4381,What is supervised learning in neural networks
+4382,4382,How do you create a factorial design
+4383,4383,What is 2x2x2 factorial design
+4384,4384,How do you reduce the regression to the mean
+4385,4385,Why does regression toward the mean happen
+4386,4386,Is a 76 good on the Asvab
+4387,4387,Is a 77 A good Asvab score
+4388,4388,Is 75 a good Asvab score
+4389,4389,Is 80 on Asvab good
+4390,4390,What is the difference between Poisson and normal distribution
+4391,4391,How do you know when to use Poisson distribution
+4392,4392,Can you find correlation between categorical variables
+4393,4393,Which command can be used to find the correlation between continuous continuous variables
+4394,4394,How would you compare ReLU and logistic sigmoid activation function
+4395,4395,What is second rank tensor
+4396,4396,What is meant by rank of a tensor
+4397,4397,Is a matrix a rank 2 tensor
+4398,4398,Can the sample mean and population mean be the same
+4399,4399,Do the sample means target the value of the population mean
+4400,4400,Does the sample size have an effect on the mean of all possible sample means explain
+4401,4401,Is Data Analytics Big Data
+4402,4402,How do I know if data follows Poisson distribution
+4403,4403,How do you know if its binomial or Poisson
+4404,4404,What is the rejection region method
+4405,4405,What are nonparametric tests used for
+4406,4406,What are parametric and non parametric tests
+4407,4407,What are the advantages of using decision tree
+4408,4408,What is a hidden layer
+4409,4409,Why are they called hidden layers
+4410,4410,What is hidden size in RNN
+4411,4411,What is hidden unit
+4412,4412,How do you calculate the Z statistic
+4413,4413,What is the function of Z test statistics
+4414,4414,What is the Z score function in Excel
+4415,4415,How do you solve for z test
+4416,4416,What is real time data processing
+4417,4417,What is an example of real time processing
+4418,4418,What is real processing
+4419,4419,How do you stop Overfitting in neural networks
+4420,4420,How does neural network determine Overfitting
+4421,4421,What is the use of MLP
+4422,4422,What are the two paradigms of ensemble methods
+4423,4423,How do you find the correlation between two variables in statistics
+4424,4424,What statistical test is used for correlation
+4425,4425,What correlation coefficient is required if one of the variables is dichotomous
+4426,4426,What is FDR adjusted p value
+4427,4427,How do you interpret the adjusted p value
+4428,4428,Is moment of inertia a tensor
+4429,4429,What are tensor quantities
+4430,4430,Is moment a scalar or vector quantity
+4431,4431,How can I understand concepts while studying
+4432,4432,How do you memorize concepts
+4433,4433,What is the meaning of learning concept
+4434,4434,What are active learning activities
+4435,4435,How do you use active learning
+4436,4436,What can active learners do
+4437,4437,How is machine learning used in automation
+4438,4438,Is AI the same as automation
+4439,4439,What is frequency distribution definition
+4440,4440,What is frequency distribution give example
+4441,4441,What does a correlation of 0.3 mean
+4442,4442,Is .3 a weak correlation
+4443,4443,What is considered highly correlated
+4444,4444,What does Correlation does not imply causation mean
+4445,4445,What is the meaning of the phrase Correlation does not imply causation quizlet
+4446,4446,What is one of the reasons that correlations do not indicate causation quizlet
+4447,4447,Does correlation mean causation Why or why not
+4448,4448,Why do we use Fourier transform
+4449,4449,What can you do with Fourier transform
+4450,4450,What is the use of Fourier analysis
+4451,4451,How do you find the mean of a Poisson distribution
+4452,4452,What is the mean and variance of Poisson distribution
+4453,4453,What is the mean of a probability distribution
+4454,4454,What is the mean of binomial distribution
+4455,4455,What is gradient in linear regression
+4456,4456,What are learning features
+4457,4457,What is a feature in a neural network
+4458,4458,How did the sample size affect the accuracy of the sample means
+4459,4459,What happens when sample size increases
+4460,4460,What impact does precision confidence level have on required sample size
+4461,4461,How does sample size affect average
+4462,4462,What is a filter in convolutional neural network
+4463,4463,How do you interpret precision
+4464,4464,How do I make a predictive analytics model
+4465,4465,What data is needed to conduct predictive analytics
+4466,4466,What is decision making in statistics
+4467,4467,How do statistical skills enable decision making
+4468,4468,What is an example of the use of statistics to make predictions and decisions in our daily lives
+4469,4469,Which of the following is swarm intelligence techniques
+4470,4470,How does a vision sensor work
+4471,4471,What are the functions of machine vision system
+4472,4472,How do you find the Y intercept in a regression equation
+4473,4473,What is the Y intercept in regression analysis
+4474,4474,What does the Y intercept indicate
+4475,4475,How does machine learning find patterns in data
+4476,4476,What are the different types of machine learning algorithms
+4477,4477,What are the types of pattern recognition
+4478,4478,What is the distribution of a variable
+4479,4479,What is distribution of data definition
+4480,4480,How do you interpret a correlation matrix
+4481,4481,What is attention in NLP
+4482,4482,How do you find the slope of a regression line
+4483,4483,How do you find the slope and y intercept of a regression line in R
+4484,4484,How do you find slope in R
+4485,4485,What is meant by a conditional distribution
+4486,4486,What is a marginal and conditional distribution
+4487,4487,What is the marginal distribution of a two way table
+4488,4488,What is marginal distribution AP stats
+4489,4489,How do you know if a regression model is good
+4490,4490,How do you choose the best linear regression model
+4491,4491,Why linear regression is best
+4492,4492,What is an activation value
+4493,4493,In what ways can output be determined from activation value *
+4494,4494,What is activation value in artificial neuron
+4495,4495,How does ridge regression reduce Multicollinearity
+4496,4496,Does ridge regression increase bias
+4497,4497,How do residual networks work
+4498,4498,What is the difference between variance and coefficient of variation
+4499,4499,How is SD and CV calculated
+4500,4500,How do you choose lambda in ridge regression
+4501,4501,What is not a measure of central tendency
+4502,4502,Is mean absolute deviation a measure of central tendency
+4503,4503,Who Discovered signal detection
+4504,4504,What is the signal detection process
+4505,4505,What is an example of signal detection
+4506,4506,What is the difference between a discrete distribution and a continuous distribution
+4507,4507,What are discrete and continuous uniform distributions
+4508,4508,What is the difference between normal distribution and uniform distribution
+4509,4509,What are the main differences between discrete and continuous random variables
+4510,4510,What are the different types of planning in AI
+4511,4511,What is the difference between control variable and moderating variable
+4512,4512,How do you test for moderation
+4513,4513,How do you determine the validity of a statistical conclusion
+4514,4514,How do you determine validity in statistics
+4515,4515,What does valid mean in statistics
+4516,4516,What are the desirable properties of good estimators
+4517,4517,Why do we need estimators
+4518,4518,What is the dimension of a tensor
+4519,4519,How do you print a tensor
+4520,4520,What do eigenvalues and eigenvectors tell us
+4521,4521,What is Eigen value and eigen function
+4522,4522,What is risk in statistics
+4523,4523,How do you calculate risk increase in statistics
+4524,4524,What is the S curve
+4525,4525,Who invented S curve
+4526,4526,How do you account for the S shape of the diffusion curve
+4527,4527,How do you interpret left skewed data
+4528,4528,What does a left skewed histogram mean
+4529,4529,What does interaction effect tell us
+4530,4530,What does a positive interaction effect mean
+4531,4531,What is axiomatic probability
+4532,4532,Which of these is an example of the law of large numbers
+4533,4533,What are the two types of neural networks
+4534,4534,What are Bayesian belief nets where are they used
+4535,4535,What is the relation between T and F
+4536,4536,What does T distribution mean
+4537,4537,What is the mean of F distribution
+4538,4538,How do you do an accurate assessment
+4539,4539,What is accuracy in image processing
+4540,4540,How do you define a logarithmic function
+4541,4541,What is logarithmic function example
+4542,4542,What is the difference between exponential and logarithmic
+4543,4543,What is multinomial probability distribution
+4544,4544,What is multinomial experiment
+4545,4545,What is the example of multinomial
+4546,4546,What is the formula of distribution
+4547,4547,Is Arima model machine learning
+4548,4548,How would you describe Arima model
+4549,4549,What is the purpose of dimensional analysis
+4550,4550,What is the null hypothesis of breusch Pagan test
+4551,4551,How does Heteroskedasticity affect hypothesis testing
+4552,4552,What is meant by CNN
+4553,4553,Why CNN is used
+4554,4554,What is NLP and its uses
+4555,4555,Where is NLP used
+4556,4556,Why power factor correction is required
+4557,4557,What linear regression tells us
+4558,4558,Why are linear models useful
+4559,4559,What is the importance of P value in statistics
+4560,4560,What statistical test uses p value
+4561,4561,What is a significance test in statistics
+4562,4562,What does significant difference mean in statistics
+4563,4563,What is the difference between AR and MA
+4564,4564,What is the difference between ARMA and Arima models
+4565,4565,How do Lstm models work
+4566,4566,What is Lstm model
+4567,4567,How do you divide dataset into training and test set
+4568,4568,How do you divide dataset into training and test set in R
+4569,4569,What is bias vs variance
+4570,4570,What does high bias mean
+4571,4571,Which of the following is an example of regression to the mean
+4572,4572,What does regression to the mean
+4573,4573,How do you know when to use normal approximation
+4574,4574,What is a normal approximation to the binomial distribution
+4575,4575,Is multivariate analysis better than univariate
+4576,4576,What are the advantages of randomization
+4577,4577,What is the benefit of randomization quizlet
+4578,4578,What attribute defines a marginal probability calculation
+4579,4579,Should I use standard deviation or standard error for error bars
+4580,4580,What is recurrent neural network in deep learning
+4581,4581,How do you solve for a vanishing gradient
+4582,4582,What causes vanishing gradient
+4583,4583,What does N mean in population
+4584,4584,What is N in variance formula
+4585,4585,What is N in statistics
+4586,4586,Why is variance n 1
+4587,4587,Why Multicollinearity is a problem in linear regression
+4588,4588,Why is Multicollinearity a potential problem in a multiple linear regression quizlet
+4589,4589,How many quantization levels are there
+4590,4590,What do you mean by quantization
+4591,4591,Which of the following is an example of availability bias
+4592,4592,What is the meaning of availability bias
+4593,4593,How do you stop availability bias
+4594,4594,What is the availability heuristic and why is it a source of bias
+4595,4595,What is estimate and estimator in statistics
+4596,4596,What is the difference between an estimator and an estimate explain your answer fully
+4597,4597,What is the difference between an estimator and an estimate quizlet
+4598,4598,Will AI take over human intelligence
+4599,4599,Can AI be a threat to human intelligence
+4600,4600,Can AI be more intelligent than humans
+4601,4601,What is difference between sampling and quantization
+4602,4602,What is quantization
+4603,4603,What is sampling of an image
+4604,4604,What is quantization of an image
+4605,4605,How can we find the optimum K in K nearest neighbor
+4606,4606,What is K distance
+4607,4607,What is true positive and false positive
+4608,4608,What does true positive rate mean
+4609,4609,What is quantile in statistics example
+4610,4610,What is sample quantile
+4611,4611,What is a quintile in statistics
+4612,4612,Why does the normal curve exist in nature
+4613,4613,When there is a normal distribution
+4614,4614,Is K fold cross validation
+4615,4615,How is K fold cross validation different from stratified k fold cross validation
+4616,4616,How do you select K in K fold cross validation
+4617,4617,What is the work of cluster
+4618,4618,What is cluster computing example
+4619,4619,How do you test a dataset
+4620,4620,What is the purpose of clustering
+4621,4621,What is event clustering
+4622,4622,What is spatial clustering
+4623,4623,What is the difference between time series analysis and cross sectional analysis
+4624,4624,What is cross time analysis
+4625,4625,What is trend in time series analysis
+4626,4626,Why is Monty Hall problem wrong
+4627,4627,What is sensitivity analysis and what is its purpose
+4628,4628,What is a sensitivity analysis example
+4629,4629,How do you perform a sensitivity analysis
+4630,4630,What is sensitivity analysis engineering
+4631,4631,What does S curve mean
+4632,4632,What does a shift of the S curve mean
+4633,4633,Which is a discrete variable
+4634,4634,What is true negative in confusion matrix
+4635,4635,What is an example of a false negative
+4636,4636,What does the correlation coefficient tell you
+4637,4637,What is the purpose of the backpropagation algorithm
+4638,4638,When did AI surpass human intelligence
+4639,4639,How smart is AI right now
+4640,4640,How long before AI takes over the world
+4641,4641,What is the adjusted coefficient of determination used for
+4642,4642,What is difference between R Squared and adjusted R squared
+4643,4643,What is needed for predictive analytics
+4644,4644,What type of correlation is used to assess the relationship between two ordinal variables
+4645,4645,Should I use Pearson or Spearman correlation
+4646,4646,How do you determine if there is a relationship between two variables
+4647,4647,What is the difference between semantic net and frame
+4648,4648,How do you calculate degrees of freedom for an independent t test
+4649,4649,What is Likert scale data analysis
+4650,4650,What are the types of statistical tests
+4651,4651,What is at test in statistics
+4652,4652,Is at value a test statistic
+4653,4653,What is the difference between at Test and Az test in statistics
+4654,4654,How do you find the Z test statistic on a TI 84
+4655,4655,What is the difference in bias and variance in random forest
+4656,4656,What is variance in a model
+4657,4657,What is causal machine learning
+4658,4658,What is inference in machine learning
+4659,4659,How can you prevent bias in convenience sampling
+4660,4660,How do you avoid random sampling errors
+4661,4661,How do you measure active learning
+4662,4662,What are the elements of active learning
+4663,4663,What is the meaning of IID
+4664,4664,How do you convert odds ratio to effect size
+4665,4665,What is the odds ratio in statistics
+4666,4666,What is the difference between Cohen's d and effect size
+4667,4667,What does Cohen's d mean in statistics
+4668,4668,What is an example of partition
+4669,4669,What is partition of a sample space
+4670,4670,What partition means
+4671,4671,When two events are disjoint they are also independent
+4672,4672,Can two events be independent and mutually exclusive
+4673,4673,What causes a false positive pregnancy test
+4674,4674,What does it mean to calibrate data
+4675,4675,What is word tokenization
+4676,4676,Why is tokenization important NLP
+4677,4677,Is sarsa better than expected sarsa
+4678,4678,What does sarsa in reinforcement learning mean
+4679,4679,How can you improve the accuracy of a multiple regression model
+4680,4680,How can linear models be improved
+4681,4681,How do you improve regression predictions
+4682,4682,What is interpolation in NLP
+4683,4683,What can machine learning predict
+4684,4684,Can machine learning predict the future
+4685,4685,Is machine learning related to predictive analytics
+4686,4686,How accurate is machine learning
+4687,4687,What does R Squared mean in regression
+4688,4688,What is a good R2 value for linear regression
+4689,4689,How can descriptive and inferential statistics be used together
+4690,4690,Can descriptive statistics be used for inferential statistics
+4691,4691,Can decision trees handle categorical data
+4692,4692,Does SVM work with categorical data
+4693,4693,What is the purpose of regression analysis
+4694,4694,Is conditional probability Independent
+4695,4695,Is conditional probability mutually exclusive
+4696,4696,Is SVM linear or nonlinear
+4697,4697,Can SVM solve linear and nonlinear problems
+4698,4698,What is nonlinear classification
+4699,4699,What is Biases in machine learning
+4700,4700,What is bias node in neural network
+4701,4701,What is exploratory data analysis
+4702,4702,What does EDA mean in data science
+4703,4703,What are the disadvantages of face recognition
+4704,4704,What are the steps involved in face detection
+4705,4705,What are the characteristics of a normal curve
+4706,4706,What are the three characteristics of the normal curve
+4707,4707,Which of the following are characteristics of the normal distribution
+4708,4708,How do you avoid Underfitting in deep learning
+4709,4709,How do I fix Overfitting in neural network
+4710,4710,What does OLS mean in statistics
+4711,4711,What does exponential distribution mean
+4712,4712,How do you show that a distribution is exponential
+4713,4713,What is negative exponential distribution
+4714,4714,How do you impute missing data
+4715,4715,How does K fold work
+4716,4716,What is Group K fold
+4717,4717,What is Cross_val_score
+4718,4718,How K fold cross validation is implemented
+4719,4719,What makes a distribution normal
+4720,4720,How do you know if sampling distribution is normal
+4721,4721,What is a multivariate analysis technique
+4722,4722,What is symbolic learning in AI
+4723,4723,What is the meaning of symbolic reasoning
+4724,4724,When an independent variable is exogenous
+4725,4725,What is exogenous variable
+4726,4726,Is endogenous variable dependent variable
+4727,4727,How do you construct a frequency distribution from a class interval
+4728,4728,What is negative binomial regression model
+4729,4729,How do you do a Poisson regression in SPSS
+4730,4730,What is negative binomial regression used for
+4731,4731,How do you make the histogram for a probability distribution
+4732,4732,How do you describe the distribution of a histogram
+4733,4733,What does a probability distribution show
+4734,4734,What is a probability distribution graph
+4735,4735,What is neuronal activation
+4736,4736,What are hidden layers
+4737,4737,What is hidden state in RNN
+4738,4738,How many hidden layers are there in RNN
+4739,4739,What is an input variable
+4740,4740,How do you find the input value of a function
+4741,4741,Why do we take log of probabilities
+4742,4742,Why is log used in machine learning
+4743,4743,What is D prime in signal detection theory
+4744,4744,What is pseudo Randomised controlled trial
+4745,4745,How do you check serial correlation in eviews
+4746,4746,How does Econometrics detect autocorrelation
+4747,4747,What is standard error of estimate in statistics
+4748,4748,How do you calculate standard error of estimate in regression
+4749,4749,How do you do standard error
+4750,4750,Is JSON structured or semi structured
+4751,4751,What are structured and unstructured data
+4752,4752,What is an absorbing stochastic matrix
+4753,4753,Is an absorbing state recurrent
+4754,4754,What is the importance of sample and sampling in statistics
+4755,4755,What does distance measure
+4756,4756,What is standard deviation used for
+4757,4757,What is the standard deviation example
+4758,4758,What is standard deviation used to measure
+4759,4759,What is the function of kernel
+4760,4760,What is a kernel function describe with examples
+4761,4761,What is a kernel function in SVM
+4762,4762,What is hypothesis space and inductive bias
+4763,4763,What is bias in deep learning
+4764,4764,What is mixture discriminant analysis
+4765,4765,How many methods are there in discriminant analysis
+4766,4766,How is discriminant analysis different from multiple regression
+4767,4767,How are eigenvalues used in factor analysis
+4768,4768,How do you name factors in factor analysis
+4769,4769,How do you find the number of factors in factor analysis in R
+4770,4770,How is correlation matrix calculated
+4771,4771,How do you interpret correlation matrix results
+4772,4772,How is correlation ratio calculated
+4773,4773,Can you have too many dummy variables
+4774,4774,Can dummy variables be negative
+4775,4775,How do you tell if a hypothesis is left tailed
+4776,4776,How do you know if test is right tailed or left tailed
+4777,4777,What makes a hypothesis test two tailed
+4778,4778,What is data science in short
+4779,4779,What is data science answer
+4780,4780,Is range a measure of center or a measure of variation
+4781,4781,Is range a measure of variation
+4782,4782,How is precision recall classification calculated
+4783,4783,Why is cross entropy used
+4784,4784,Why use cross entropy instead of MSE
+4785,4785,How do you find the mean median and interquartile range
+4786,4786,What is the least squares method and how is it used to find the estimated regression equation
+4787,4787,What are the properties of least square regression line
+4788,4788,How do you know when to accept or reject the null hypothesis
+4789,4789,Does rejecting the null hypothesis means accepting the alternative hypothesis
+4790,4790,What are some of the methods for cluster analysis
+4791,4791,Which can be used for clustering of data
+4792,4792,What is Cluster data analysis
+4793,4793,What is vanishing gradient problem in deep learning
+4794,4794,Which two metrics are commonly used to evaluate classification models
+4795,4795,Which matrices can be used to show the results of model accuracy evaluation or the model's ability to correctly predict or separate the classes
+4796,4796,Why is my R Squared so low
+4797,4797,What does R Squared indicate in regression analysis
+4798,4798,What is machine learning concept
+4799,4799,What are the basic concepts of machine learning
+4800,4800,Why do we use logit function
+4801,4801,Why do we use log in logistic regression
+4802,4802,Why we use logistic regression in machine learning
+4803,4803,How measures of central tendency and measures of dispersion are related
+4804,4804,Why is measures of dispersion important in statistics
+4805,4805,What does it mean for two events to be statistically independent
+4806,4806,How many data points do you need for machine learning
+4807,4807,Does machine learning require big data
+4808,4808,How much data is enough for deep learning
+4809,4809,What is a probability density function in statistics
+4810,4810,What is probability and probability density
+4811,4811,What are layers in deep learning
+4812,4812,How many types of deep learning are there
+4813,4813,What is random experiment with an example
+4814,4814,What does it mean random
+4815,4815,Is Computer Vision deep learning
+4816,4816,What is the difference between computer vision and machine learning
+4817,4817,What is computer vision example
+4818,4818,What is the difference between FIR and IIR filters
+4819,4819,Who invented hidden Markov model
+4820,4820,How do you find the sample size when given the margin of error
+4821,4821,How do you find the sample size with the margin of error and standard deviation calculator
+4822,4822,What does ingroup bias mean
+4823,4823,Can I use Anova for ordinal data
+4824,4824,How do you analyze ordinal variables
+4825,4825,Why do we need learning rate
+4826,4826,How do you choose learning rate
+4827,4827,What is the effect of learning rate on prediction
+4828,4828,How do you classify unlabeled data
+4829,4829,What is label data and unlabeled data
+4830,4830,How many GPUs do you need for deep learning
+4831,4831,Do you need a GPU for deep learning
+4832,4832,What GPU should I get for deep learning
+4833,4833,Is logistic regression a GLM
+4834,4834,How does R calculate autocorrelation
+4835,4835,What is autocorrelation with example
+4836,4836,What are dimensions and measures in data warehouse
+4837,4837,How many dimensions are there
+4838,4838,What is embedding Tensorflow
+4839,4839,What are the sampling units
+4840,4840,What is individual sampling
+4841,4841,What are primary sampling units
+4842,4842,What are the main issues of hidden Markov model
+4843,4843,How can I train my brain to make better decisions
+4844,4844,What is meant by linear and nonlinear
+4845,4845,Is the association linear or nonlinear
+4846,4846,What does a non linear relationship mean
+4847,4847,Is non response a bias
+4848,4848,What type of bias is response bias
+4849,4849,What is non response bias in research
+4850,4850,What is the function of a probability distribution
+4851,4851,What does the mean of a probability distribution tell us
+4852,4852,What can you determine from a box plot
+4853,4853,What is an example of response bias
+4854,4854,What is the difference between undercoverage and nonresponse bias
+4855,4855,What is PDF of random variable
+4856,4856,How do you solve a combination in statistics
+4857,4857,What type of data is used for multiple regression
+4858,4858,What type of data is required for regression analysis
+4859,4859,How do you perform multiple linear regression
+4860,4860,What is considered good test retest reliability
+4861,4861,What is the partitioning method
+4862,4862,What is partitioning in data warehouse
+4863,4863,What is partitioning in big data
+4864,4864,Why do we say the least squares line is the best fitting line for the data set
+4865,4865,What is statistical AI
+4866,4866,How is statistics used in AI
+4867,4867,Is a factor a variable
+4868,4868,Are factors independent variables
+4869,4869,What does factor mean in statistics
+4870,4870,What are the probabilities of each outcome in the sample space
+4871,4871,How do you find the probability of a sample space
+4872,4872,What can be a probability outcome
+4873,4873,What is the definition of multinomial
+4874,4874,What is image classification used for
+4875,4875,How do you classify an image with TensorFlow
+4876,4876,What are the limitations of Anova
+4877,4877,What are the limitations of Anova in SPSS
+4878,4878,What is the difference between arithmetic coding and Huffman coding
+4879,4879,What are the advantages of Huffman coding
+4880,4880,What is the difference between one tailed and two tailed test
+4881,4881,How do you tell if a test is two tailed left tailed or right tailed
+4882,4882,What is the principle of least square method
+4883,4883,What are the properties of the least squares line
+4884,4884,What is a criticism of IQ tests
+4885,4885,What is a control variable in a regression analysis
+4886,4886,How do you identify a controlled variable
+4887,4887,What variables do you need to control
+4888,4888,What is parameter in neural network
+4889,4889,What is classification and its types
+4890,4890,How do you find the parameter of a Poisson distribution
+4891,4891,What are the characteristics of Poisson distribution
+4892,4892,What does Poisson distribution measure
+4893,4893,What is precision in sampling
+4894,4894,What is an example of a positive feedback loop
+4895,4895,Is a fever An example of positive feedback
+4896,4896,What is Mathematics and Statistics all about
+4897,4897,Can naive Bayes be used for continuous variables
+4898,4898,Which naive Bayes model will you use for data set containing continuous feature values
+4899,4899,How is regression measured
+4900,4900,What does regression analysis measure
+4901,4901,What metric is used to measure the fit of regression line
+4902,4902,How do you do a robustness check
+4903,4903,How do you check the accuracy of a model
+4904,4904,How does a naive Bayes classifier work
+4905,4905,How does Bayesian classifier work in data mining
+4906,4906,How do you solve multi objective optimization problems in Matlab
+4907,4907,Can decision trees use categorical data
+4908,4908,Is Gan supervised learning
+4909,4909,Is neural networks reinforcement learning
+4910,4910,Why do we use correction factor
+4911,4911,What is the probability that a continuous random variable is equal to an exact value
+4912,4912,Why is the probability zero for any given value of a normal distribution
+4913,4913,What is Timestep in Lstm
+4914,4914,Which data type is used to teach a machine learning ml
+4915,4915,Does machine learning need big data
+4916,4916,Which type of data is used to teach a machine learning algorithm during structured learning
+4917,4917,How does TensorFlow serving work
+4918,4918,What is the difference between any normal distribution and the standard normal distribution
+4919,4919,What is the difference between normal distribution and standard deviation
+4920,4920,What is the difference between a normal distribution and a uniform distribution
+4921,4921,Why is it correct to say a normal distribution and the standard normal distribution
+4922,4922,Should I use stepwise regression
+4923,4923,What is the difference between enter and stepwise regression
+4924,4924,How do you find the association rules from frequent itemsets
+4925,4925,Why do we calculate standard error
+4926,4926,What is the formula for the standard error of the sample mean
+4927,4927,What is the difference between data mining and machine learning are they the same
+4928,4928,What is the difference between data mining and data science
+4929,4929,Is data mining and data science related
+4930,4930,What is the similarity and difference between human learning and machine learning
+4931,4931,Why ridge regression is used
+4932,4932,What is a stratified sampling approach
+4933,4933,What is the difference between mean absolute error and mean square error
+4934,4934,What is MAPE mad and MSE in forecasting
+4935,4935,Is mean squared error the same as standard deviation
+4936,4936,Why is normality important in statistics
+4937,4937,Why is the normal curve important to standardized testing
+4938,4938,What does skewed mean in statistics
+4939,4939,What does a positive skew mean
+4940,4940,What do you mean by word sense disambiguation
+4941,4941,What are the key heuristics of Yarowsky algorithm
+4942,4942,What are prioritization techniques
+4943,4943,What are the prioritization techniques in agile
+4944,4944,How can you improve prioritizing skills
+4945,4945,How do you calculate prior mean
+4946,4946,What is Delta error in perception model of neuron
+4947,4947,Why is boosting used
+4948,4948,How does boost work
+4949,4949,What is boosting And how does boosting helps in achieving a better classification performance
+4950,4950,What does random effect mean
+4951,4951,What is random effect and fixed effect
+4952,4952,How do you know if a random effect is significant
+4953,4953,What is V in SVD
+4954,4954,What does SVD mean
+4955,4955,What is SVD in image processing
+4956,4956,What is ETA in machine learning
+4957,4957,What is a good learning rate
+4958,4958,How do I know if my learning rate is too high
+4959,4959,Why weights are used in neural networks
+4960,4960,Is machine learning still in demand
+4961,4961,What is gradient loss function
+4962,4962,What is the loss function in XGBoost
+4963,4963,How does gradient boosting work
+4964,4964,Is a binary variable nominal
+4965,4965,Is a binary variable categorical
+4966,4966,What is binary variable
+4967,4967,Are binary variables discrete
+4968,4968,How do the T and Z distributions differ quizlet
+4969,4969,How does the t statistic differ from the Z statistic
+4970,4970,What is the main difference between Z and T test
+4971,4971,What is the main difference between z score and T score
+4972,4972,Is confidence interval same as effect size
+4973,4973,Why is effect size important in statistics
+4974,4974,How do Confidence intervals tell you whether your results are statistically significant
+4975,4975,What is parametric and non parametric test in statistics
+4976,4976,What is the relationship between correlation and regression
+4977,4977,What is a linear relationship in correlation
+4978,4978,What is correlation and regression with example
+4979,4979,What do coefficients mean
+4980,4980,What is coefficient in regression
+4981,4981,What do coefficient estimates mean
+4982,4982,What are the algorithms used in data mining
+4983,4983,What are major data mining techniques
+4984,4984,What are the classification algorithms in data mining
+4985,4985,How do you find Z score on TI 84 with mean and standard deviation
+4986,4986,Is Z score the same as standard deviation
+4987,4987,How do you find the corresponding z score
+4988,4988,What is the truth about statins
+4989,4989,What is Optimizer in neural network
+4990,4990,What is entropy in information technology
+4991,4991,What is a simple definition of entropy
+4992,4992,What is entropy in programming
+4993,4993,Is machine learning part of data analytics
+4994,4994,How is data analytics different from machine learning
+4995,4995,Why do we need to normalize batch
+4996,4996,Is logistic distribution symmetric
+4997,4997,Is logistic regression parametric or nonparametric
+4998,4998,What is a Softmax layer in CNN
+4999,4999,What is loss function Gan
+5000,5000,What is dimensionality reduction
+5001,5001,What are dimensionality reduction and its benefits
+5002,5002,What are the requirements to learn machine learning
+5003,5003,Is programming required for machine learning
+5004,5004,Is P value the same as level of significance
+5005,5005,What is alpha in p value
+5006,5006,What does a p value less than the alpha level mean
+5007,5007,What are alpha levels
+5008,5008,What is LSA in NLP
+5009,5009,What is LDA algorithm
+5010,5010,Which of the following option is are correct regarding benefits of ensemble model
+5011,5011,How features are picked in deep learning
+5012,5012,Why do we use normalization in batch
+5013,5013,What do you mean by latent variables
+5014,5014,What Gaussian means
+5015,5015,What is relative frequency statistics
+5016,5016,What does standard error represent in statistics
+5017,5017,What is the purpose of the standard error of the mean
+5018,5018,What can discrete latent variables in models correspond to
+5019,5019,What is meant by frequency distribution in statistics
+5020,5020,What is frequency distribution explain with an example
+5021,5021,How do you find the frequency distribution in statistics
+5022,5022,What is a frequency distribution and why is it useful
+5023,5023,How do you define sensitivity
+5024,5024,Is logistic regression mainly used for classification
+5025,5025,What is logistic classification
+5026,5026,How does a histogram help you analyze data
+5027,5027,How do you analyze a histogram
+5028,5028,How do you interpret a normal curve on a histogram
+5029,5029,What is the use of decision tree in machine learning
+5030,5030,How does a decision tree work
+5031,5031,What is are true about ridge regression
+5032,5032,How do you construct a stratified random sample
+5033,5033,What are the major issues involved in stratified sampling
+5034,5034,Which of the following are not criteria for the selection of stratification variables in stratified sampling
+5035,5035,Why is it called a high pass filter
+5036,5036,What should I set my high pass filter to
+5037,5037,Is naive Bayes classification or regression
+5038,5038,What are the different types of naive Bayes classifier
+5039,5039,What is a validation set in machine learning
+5040,5040,What is the difference between SLR and MLR
+5041,5041,Do percent error and percent difference give indications of accuracy or precision
+5042,5042,Does uncertainty measure accuracy or precision
+5043,5043,What does a percent error tell you
+5044,5044,How do you find the expected value and standard deviation of a geometric random variable
+5045,5045,Is NLP required in deep learning networks
+5046,5046,What is the difference between quota sampling and random sampling
+5047,5047,Is quota sampling biased
+5048,5048,How is the structure of a neural network determined
+5049,5049,How do you measure generalization
+5050,5050,What is the difference between query and subquery
+5051,5051,What is the difference between correlated subquery and nested query
+5052,5052,What is a target variable
+5053,5053,What is a function in machine learning
+5054,5054,What is exploration and exploitation
+5055,5055,Why do we need to balance exploration and exploitation in Q learning
+5056,5056,What is a reinforcement learning algorithm
+5057,5057,What is reinforcement learning give example
+5058,5058,Why do we use gradient descent in linear regression
+5059,5059,What is the purpose of the gradient descent algorithm
+5060,5060,What are the steps for using a gradient descent algorithm for linear regression
+5061,5061,What is unstructured data used for
+5062,5062,What is the probability formula
+5063,5063,What is probability mass function with example
+5064,5064,What is probability density function formula
+5065,5065,What does N gram mean
+5066,5066,What is N gram and Bigram in NLP
+5067,5067,What does Unigram mean
+5068,5068,How do you start data analysis
+5069,5069,What is an example of data analysis
+5070,5070,Where the AI is applicable in future
+5071,5071,How artificial intelligence is useful
+5072,5072,How do you do latent semantic analysis
+5073,5073,What is LSA in SEO
+5074,5074,What is Latent Semantic Indexing in SEO
+5075,5075,What is meant by curse of dimensionality
+5076,5076,What is the curse of dimensionality Can you give an example
+5077,5077,What does a logarithm tell you
+5078,5078,How do you explain logarithmic functions
+5079,5079,How do you find the cosine similarity between two vectors
+5080,5080,How do you find the cosine similarity between two sentences
+5081,5081,What is a posteriori knowledge
+5082,5082,What is Fourier series in signals and systems
+5083,5083,For which type of signals Fourier Transform can be used
+5084,5084,Why is entropy
+5085,5085,When would you use a multi armed bandit
+5086,5086,Which is true of a bandit test
+5087,5087,What is an example of continuous distribution
+5088,5088,What are the types of continuous distributions
+5089,5089,What is the difference between continuous and discrete distribution
+5090,5090,How do you write a null hypothesis
+5091,5091,What stratification means
+5092,5092,How do you stratify a sample
+5093,5093,How does neural network work machine learning
+5094,5094,Will neural networks replace machine learning
+5095,5095,Is neural network unsupervised learning
+5096,5096,Is neural network an algorithm
+5097,5097,What is learning curve with example
+5098,5098,How many types of learning curve are there
+5099,5099,How do you plot a validation curve
+5100,5100,What is the use of Confusion Matrix
+5101,5101,How do you find outliers in a set of data
+5102,5102,What is interquartile range used for
+5103,5103,What are outliers explain the inter quartile range IQR method for outlier detection
+5104,5104,What is factor analysis used for
+5105,5105,How do you interpret a factor analysis
+5106,5106,What does Standard Deviation tell you
+5107,5107,How do you find the mean and standard deviation
+5108,5108,What is mean and standard deviation used for
+5109,5109,What is active learning and its purpose
+5110,5110,What are the benefits of activity based learning
+5111,5111,What is internal covariate shift in neural networks
+5112,5112,What is significant and not significant
+5113,5113,What does a significant t test mean
+5114,5114,Why is the US metric system different
+5115,5115,Do you need normal distribution for regression
+5116,5116,Why is the chi square distribution positively skewed
+5117,5117,Why do the critical values for a chi squared distribution get larger as the degrees of freedom get larger
+5118,5118,What is the difference between joint probability and conditional probability
+5119,5119,What is the relationship between two events if the conditional probability is equal to the unconditional probability that is if P A B P A )
+5120,5120,What is statistical inference explain with an example
+5121,5121,What is a linear regression equation example
+5122,5122,How do you find the mean of a regression equation
+5123,5123,What is simple regression equation
+5124,5124,Why we assume in linear regression that errors are normally distributed
+5125,5125,Does OLS assume normal distribution
+5126,5126,What is linear SVM
+5127,5127,What do logistic regression coefficients mean
+5128,5128,What is a good sample size for logistic regression
+5129,5129,What ensemble means
+5130,5130,What is true about an ensemble classifier
+5131,5131,What are hashes used for
+5132,5132,What does hashing mean
+5133,5133,What does the coefficient of variation measure
+5134,5134,Is variance a measure of risk
+5135,5135,What is the advantage of using a coefficient of variation over a variance
+5136,5136,What is probability of distribution in term of frequency distribution
+5137,5137,How do you find the probability distribution probability
+5138,5138,How do you convert a frequency distribution to a relative frequency distribution
+5139,5139,What is the relationship between frequency and probability
+5140,5140,What is a bivariate plot
+5141,5141,What plot would you use for bivariate quantitative variables
+5142,5142,Is histogram used for bivariate analysis
+5143,5143,What is meant by being offline
+5144,5144,Can I learn data science without coding
+5145,5145,Does data science involve coding
+5146,5146,How many samples are needed for statistical analysis
+5147,5147,What is Z in Wilcoxon test
+5148,5148,What is ap value in Wilcoxon test
+5149,5149,How are explanation theory and prediction related
+5150,5150,What is the difference between explanatory and predictive research
+5151,5151,Why do we use association rule mining
+5152,5152,What are the problems of association rule mining
+5153,5153,What is association rule mining explain Apriori algorithm
+5154,5154,What is Adam in neural network
+5155,5155,What are the main differences between normal distribution and standard normal distribution
+5156,5156,What does a normal distribution curve mean
+5157,5157,What is the importance of observation
+5158,5158,How do you find mean absolute deviation 6th grade
+5159,5159,What is the formula for calculating mean deviation
+5160,5160,What is the difference between mean and mean absolute deviation
+5161,5161,What is Steinmetz law
+5162,5162,What is B and H in BH curve
+5163,5163,What datasets are used during neural network learning
+5164,5164,What is meant by training set
+5165,5165,How does a neural network learn
+5166,5166,Why do we use survival analysis
+5167,5167,What does backpropagation for neural network training determines
+5168,5168,How does backpropagation learning work
+5169,5169,What is an input layer
+5170,5170,What is the input of CNN
+5171,5171,What are the different layers in CNN
+5172,5172,What is input in neural network
+5173,5173,What does a factorial tell you
+5174,5174,How factorial is calculated
+5175,5175,What is conditional mean in statistics
+5176,5176,How do you create a null hypothesis
+5177,5177,How do you determine the null hypothesis
+5178,5178,What is filter in deep learning
+5179,5179,Is a lower R Squared better
+5180,5180,What should R Squared be in a regression
+5181,5181,What are examples of outputs
+5182,5182,What do you mean by output unit
+5183,5183,How do you Analyse ordinal variables
+5184,5184,Why is an RNN recurrent neural network used for machine translation
+5185,5185,Is sample variance and population variance the same
+5186,5186,What is the relation between sample and population
+5187,5187,What is the difference between population covariance and sample covariance
+5188,5188,How do you find the Gini coefficient of data
+5189,5189,WHO publishes Gini coefficient
+5190,5190,What is the United States Gini coefficient
+5191,5191,How is depth from disparity map calculated
+5192,5192,What is a disparity map
+5193,5193,How do you convert depth to disparity
+5194,5194,What is the use of C parameter in SVM
+5195,5195,What if we set c parameter to infinite in SVM
+5196,5196,Which of the parameters are considered to be hyper parameters parameters which we can change for support vector machines
+5197,5197,Why are convolutional neural networks better for images
+5198,5198,What is linear spatial filtering
+5199,5199,What is a convolutional filter
+5200,5200,How many filters should a CNN have
+5201,5201,What are the two forms of fallacy of division
+5202,5202,What is false division
+5203,5203,What is fallacies and its types explain it with examples
+5204,5204,Can unsupervised learning be used for classification
+5205,5205,Can unsupervised learning be used for prediction
+5206,5206,What are AI skills
+5207,5207,What major do you need for artificial intelligence
+5208,5208,How do decision trees decide to split
+5209,5209,What is a splitting variable
+5210,5210,How is Taguchi loss function calculated
+5211,5211,What does the Taguchi loss function suggest about the issue of tolerance
+5212,5212,What does the Taguchi function do in terms of cost target and variation
+5213,5213,What is forward chaining in AI
+5214,5214,What is forward and backward reasoning in artificial intelligence
+5215,5215,What is gradient boosting model
+5216,5216,Why we use gradient boosting
+5217,5217,What is an example of empirical evidence
+5218,5218,What is an empirical sentence
+5219,5219,How do you determine if there is a significant relationship between two variables
+5220,5220,Is normal and Gaussian distribution the same
+5221,5221,What is the difference between normal and standard distribution
+5222,5222,What is the purpose of the t test for dependent groups
+5223,5223,What is an example of a dependent t test
+5224,5224,What is meant by clustering in machine learning
+5225,5225,What is meant by clustering in data mining
+5226,5226,How the target function is represented in concept learning
+5227,5227,What is Vgg
+5228,5228,What does Vgg stand for deep learning
+5229,5229,What is Vgg used for
+5230,5230,What is the use of least square method
+5231,5231,Which of the following does the method of least squares minimize
+5232,5232,What does AUC mean
+5233,5233,What kind of outcomes does logistic regression predict Mcq
+5234,5234,How is big data related to machine learning
+5235,5235,How Machine Learning works for big data applications
+5236,5236,Why was machine learning so effective after big data
+5237,5237,How ML algorithms are implemented on big data
+5238,5238,What is frequency density in histograms
+5239,5239,Do Histograms show frequency
+5240,5240,Is density the same as frequency
+5241,5241,What does negative log likelihood mean
+5242,5242,Why Hopfield networks are usually used for auto association
+5243,5243,How do you find the standard error of the difference between two means
+5244,5244,How do you find the difference between two means
+5245,5245,What is 2 standard error of the mean
+5246,5246,What is boosting in ML
+5247,5247,How does boosting algorithm work
+5248,5248,Why is boosting so effective in machine learning
+5249,5249,What does area under the curve mean in statistics
+5250,5250,What is fuzzy set in AI
+5251,5251,Is Fuzzy Logic a machine learning algorithm
+5252,5252,What does Mnist mean
+5253,5253,What is Mnist in Tensorflow
+5254,5254,What is Mnist in Python
+5255,5255,What is Gamma Poisson
+5256,5256,How will you find the correlation between a categorical variable and a continuous variable
+5257,5257,How do you test for Multicollinearity for categorical variables
+5258,5258,What is RNN in deep learning
+5259,5259,How do you find q in statistics
+5260,5260,How do you classify in machine learning
+5261,5261,What is the meaning of parameter
+5262,5262,What are parameters in a model
+5263,5263,What are parameters in a neural network
+5264,5264,Which is a neural network learning algorithm
+5265,5265,How does neural network machine learning work
+5266,5266,What are the basic concepts in statistics
+5267,5267,What are the two main types of statistics
+5268,5268,What are the three main areas of statistics
+5269,5269,How does control and variables helps determine the dependent and independent variable
+5270,5270,Does the control variable affect the dependent variable
+5271,5271,Can the control and independent variable be the same
+5272,5272,Do you control the dependent variable
+5273,5273,What is β in regression
+5274,5274,How are the regression coefficients determined
+5275,5275,What is the difference between B and beta in regression
+5276,5276,What kind of events are described by an exponential distribution
+5277,5277,How does a decision tree split Continuous attribute
+5278,5278,What are the types of statistical hypothesis
+5279,5279,What is calibration in deep learning
+5280,5280,Which answer explains better the convolution
+5281,5281,What happens in Alpha state
+5282,5282,How do you get to the alpha wave state
+5283,5283,What is Gan in machine learning
+5284,5284,What is meant by psychometric test
+5285,5285,What is a skill test
+5286,5286,What are the different types of psychometric tests
+5287,5287,How do you find the joint probability of two random variables
+5288,5288,What are jointly distributed random variables
+5289,5289,How do you find the distribution of a random variable
+5290,5290,How is stratified sampling done
+5291,5291,Why do we use stratified sampling
+5292,5292,Which of the following is an effective use of stratified sampling
+5293,5293,Where is error in neural network
+5294,5294,What is error correction learning in neural network
+5295,5295,What is error in back propagation neural network
+5296,5296,What is regression tree analysis
+5297,5297,How do you derive an equation using dimensional analysis
+5298,5298,How do you derive dimensions
+5299,5299,What is dimensional analysis equation
+5300,5300,What is the Y intercept in regression
+5301,5301,What is the formula for the equation of the least squares regression line
+5302,5302,Is Kruskal Wallis and Anova
+5303,5303,How is Anova different from non parametric test
+5304,5304,Under what conditions should you use Kruskal Wallis rank test instead of the on way Anova
+5305,5305,Can SVM output probabilities
+5306,5306,What is the use of SVM classifier
+5307,5307,Does increasing sample size decrease type 1
+5308,5308,Does type 1 error rate depend on sample size
+5309,5309,How does sample size affect error
+5310,5310,Why does training loss increase
+5311,5311,How do you reduce voluntary response bias
+5312,5312,How do you remove sampling bias
+5313,5313,What causes nonresponse bias
+5314,5314,Why would you want to use the normal distribution to approximate a binomial distribution
+5315,5315,How do you know when to use binomial or normal distribution
+5316,5316,What is the central limit theorem in statistics
+5317,5317,What kind of AI is Jarvis
+5318,5318,How did Jarvis become an AI
+5319,5319,What is xn in statistics
+5320,5320,What does N mean in statistics
+5321,5321,What does N mean in normal distribution
+5322,5322,What is X1 and X2 in statistics
+5323,5323,How do you interpret confidence interval odds ratio
+5324,5324,Can linear regression be used for time series data
+5325,5325,Is regression analysis time series
+5326,5326,What is the difference between time series analysis and regression analysis
+5327,5327,What is meant by hierarchical clustering
+5328,5328,Which are two types of hierarchical clustering
+5329,5329,What is the use of hierarchical clustering
+5330,5330,What is the difference between hierarchical and k means clustering
+5331,5331,How do you find the sum of squares regression
+5332,5332,What is the regression sum of squares quizlet
+5333,5333,How do you find the joint distribution
+5334,5334,What is the formula for joint probability
+5335,5335,Which distributions are discrete
+5336,5336,Is exponential distribution continuous or discrete
+5337,5337,Does RAM speed matter for deep learning
+5338,5338,Is GTX 1060 good for deep learning
+5339,5339,What is the symbol for the median
+5340,5340,What is the formula of median
+5341,5341,What's the mathematical term for median
+5342,5342,What is the major difference between simple regression and multiple regression
+5343,5343,How does multiple regression differ from simple regression quizlet
+5344,5344,Who developed the statistical technique known as regression quizlet
+5345,5345,How can object detection performance be improved
+5346,5346,What is the purpose of object detection
+5347,5347,How do you deal with biased data
+5348,5348,How do you remove bias from data
+5349,5349,How do you deal with high bias
+5350,5350,Why is more data more accurate
+5351,5351,How can you make data more accurate
+5352,5352,How do you choose support vectors
+5353,5353,What means support vector
+5354,5354,Why do we use tokenization
+5355,5355,What is a one sample z test used for
+5356,5356,When should Z test be used
+5357,5357,Under what conditions can you use the one sample z test and standard distribution
+5358,5358,What are the conditions for a one proportion z test
+5359,5359,How do you treat missing values
+5360,5360,How do you predict missing values
+5361,5361,How do you treat missing categorical values
+5362,5362,What is prior probability Brainly
+5363,5363,What are the limitations of Fourier Transform
+5364,5364,What is difference between Fourier and Fourier Transform
+5365,5365,What are the properties of Fourier transform
+5366,5366,How do you calculate hit rate and false alarm rate
+5367,5367,How is SDT calculated
+5368,5368,Is Type 1 error p value
+5369,5369,How do you calculate y intercept
+5370,5370,What is intercept in regression analysis
+5371,5371,Can heuristic be consistent but not admissible
+5372,5372,How do bag words work
+5373,5373,Which of the following is true about bag of visual words
+5374,5374,What is Visual Word
+5375,5375,What is a LDA
+5376,5376,How do you standardize a normal distribution
+5377,5377,What are standardized scores and standard distribution
+5378,5378,What is the predicted value of y
+5379,5379,How do you find the predicted value of y in Excel
+5380,5380,How do you predict y intercept
+5381,5381,How do you find the predicted and residual value
+5382,5382,Is Dijkstra's a greedy algorithm
+5383,5383,What makes an algorithm greedy
+5384,5384,Why does Dijkstra's algorithm work
+5385,5385,How do you find the analysis of variance
+5386,5386,How does a one way analysis of variance work
+5387,5387,How do you find the variance in an Anova table
+5388,5388,How do you know if you have a high or low pass filter
+5389,5389,How do high pass and low pass filters work
+5390,5390,What is Eigen value and eigen vector in Matrix
+5391,5391,What is eigenvalue example
+5392,5392,What are fixed effects
+5393,5393,Which is the best models used in word2vec algorithm for words embedding
+5394,5394,How do you train vectors in Word
+5395,5395,What is the point of a regression
+5396,5396,What is regression and why it is used
+5397,5397,What are the challenges in training a neural network vanishing gradients
+5398,5398,How do you know if a dependent variable is normally distributed
+5399,5399,What is normalized data with example
+5400,5400,What is the purpose for data normalization
+5401,5401,How do we eliminate AI bias
+5402,5402,What does the confusion matrix tell you
+5403,5403,What is the skew of the distribution
+5404,5404,How do you calculate skewness example
+5405,5405,How do you test for skewness
+5406,5406,Is probability sampling the same as random sampling
+5407,5407,What is the difference between a sample and a random sample
+5408,5408,What is the difference between random sampling and non random sampling
+5409,5409,What is the purpose of splitting data before training a machine learning model
+5410,5410,What would be the correct partition of the training and test set
+5411,5411,How do I create a decision tree in Word
+5412,5412,How do you solve a decision tree
+5413,5413,How do you find the median of a run
+5414,5414,Whats does median mean
+5415,5415,What is meant by interpolation vs extrapolation What specifically do you use in order to do this why is it usually unsafe to assume that extrapolated data is correct and safer to assume that interpolated data is correct
+5416,5416,What does the standard error Tell us why is it useful
+5417,5417,Is sigmoid nonlinear
+5418,5418,Why are activation functions nonlinear
+5419,5419,Is Tanh linear
+5420,5420,What is meant by cumulative distribution function
+5421,5421,What is CDF and PDF in statistics
+5422,5422,Which of the following is a limitation of using regression
+5423,5423,What is output layer
+5424,5424,What is output of neural network
+5425,5425,What is input layer in neural network
+5426,5426,How do you write a machine learning algorithm
+5427,5427,Does output layer have weights
+5428,5428,What is input layer
+5429,5429,What is input weight
+5430,5430,Is the input layer a hidden layer
+5431,5431,How do you find the degrees of freedom numerator and denominator
+5432,5432,What is DF in F test
+5433,5433,What is the numerator df in Anova
+5434,5434,Why is random selection important in research
+5435,5435,Why is random sampling and random assignment important
+5436,5436,Why is random assignment used in between subjects experimental designs
+5437,5437,How do you do ordinal variables in regression
+5438,5438,What is ordinal regression analysis
+5439,5439,How do you run regression on a Likert scale
+5440,5440,What is support and confidence in Apriori algorithm
+5441,5441,What is divergent validity in psychology
+5442,5442,How do you find discriminant validity
+5443,5443,What is the expected value of a binomial random variable
+5444,5444,How do you find the binomial random variable
+5445,5445,What is a control group in statistics
+5446,5446,How do you find the standard deviation of a sample mean
+5447,5447,Can you calculate standard deviation from 2 samples
+5448,5448,How do you correct omitted variable bias
+5449,5449,How does face detection algorithm work
+5450,5450,Is face detection AI
+5451,5451,Is face detection machine learning
+5452,5452,What is the difference between linear and non linear text
+5453,5453,What the difference between a linear pattern and nonlinear pattern
+5454,5454,What is linear and non linear system
+5455,5455,What is risk Minimisation
+5456,5456,How are risk minimized
+5457,5457,Why do we monitor risk Minimisation strategies
+5458,5458,What is bivariate normality
+5459,5459,How is normal distribution calculated
+5460,5460,Which data is applied to machine learning algorithms
+5461,5461,How do you implement an algorithm
+5462,5462,How do you create a clipping path
+5463,5463,How do you create a clipping mask
+5464,5464,What does clipping path mean
+5465,5465,How does Heteroskedasticity affect regression
+5466,5466,What would be then consequences for the OLS estimator if heteroscedasticity is present in a regression model but ignored
+5467,5467,How do you remove Heteroscedasticity in SPSS
+5468,5468,What is the purpose of a hash function
+5469,5469,What's a good hash function
+5470,5470,Why do we need deep learning
+5471,5471,Why do we require deep neural networks
+5472,5472,What is deep learning and its applications
+5473,5473,Why is deep learning better than machine learning
+5474,5474,What is the formula for binomial probability
+5475,5475,How a semantic network is used to represent knowledge
+5476,5476,What way to infer knowledge using semantic networks in which knowledge is represented as frames
+5477,5477,How should knowledge be represented to be used for an AI technique
+5478,5478,Which is the Contrapositive of P → Q Brainly
+5479,5479,Which is the converse of P → Q
+5480,5480,Which is the inverse of P → Q quizlet
+5481,5481,What is P -> Q
+5482,5482,Is F distribution skewed
+5483,5483,Is F distribution continuous or discrete
+5484,5484,How do you choose Batch and learning rate
+5485,5485,Can random sampling be used in qualitative research
+5486,5486,Why is sampling important in qualitative research
+5487,5487,Which statistic is are unbiased estimate of population parameter
+5488,5488,How effective is face recognition as a security measure
+5489,5489,What are the limitations of facial recognition
+5490,5490,How can you reduce false positives
+5491,5491,How can we reduce false positives in deep learning
+5492,5492,How can false negatives be reduced
+5493,5493,What does boost your confidence mean
+5494,5494,What happens when you have too much confidence
+5495,5495,What causes high confidence
+5496,5496,What is the difference between discrete and continuous quantitative data
+5497,5497,How do you write a Poisson distribution
+5498,5498,Is stratified random sampling non probability sampling
+5499,5499,What type of sampling is stratified sampling
+5500,5500,How do we use variance in real life
+5501,5501,What are the practical significance of the range variance and standard deviation
+5502,5502,When should variance be used
+5503,5503,What is the use of Bayesian network
+5504,5504,What does the Bayesian network answer your query
+5505,5505,What do coefficients mean in regression
+5506,5506,What does it mean if a coefficient is statistically significant
+5507,5507,What does the coefficient of determination r2 tell you
+5508,5508,Does streaming use lots of data
+5509,5509,Why is frequency analysis important
+5510,5510,Why is it useful to look at frequency data it can be quicker easier to do certain post processing functions in the frequency domain time series data is complicated because it is unclear when certain events occur frequency data shows us the power of events so we can
+5511,5511,What is accuracy in neural network
+5512,5512,How do you increase the accuracy of a CNN model
+5513,5513,How do you increase the accuracy of a deep learning model
+5514,5514,What is average linkage
+5515,5515,What is linearity in regression
+5516,5516,What does skewness tell us about data
+5517,5517,What does it mean if a data set is skewed
+5518,5518,What are the two requirements of a probability distribution
+5519,5519,What are the properties of distribution
+5520,5520,What are the two properties of a continuous probability distribution
+5521,5521,What are the two properties of a probability density function
+5522,5522,How does an AI model work
+5523,5523,Why are chi square goodness of fit and independence tests always right tailed tests
+5524,5524,Why is a chi square test one tailed
+5525,5525,Why CNN is used in image processing
+5526,5526,What is CNN used for
+5527,5527,What is a fixed effect in statistics
+5528,5528,What does it mean to explain variance
+5529,5529,What is variance in simple terms
+5530,5530,Why is dimensionality reduction important in machine learning
+5531,5531,What are two ways of reducing dimensionality
+5532,5532,How do you find the mean deviation
+5533,5533,What is mean deviation and standard deviation
+5534,5534,Why mean deviation is used
+5535,5535,How do you calculate the standard error of the mean
+5536,5536,What are the five popular algorithms of machine learning *
+5537,5537,What is the meaning of outputs
+5538,5538,What is multivariate analysis example
+5539,5539,What is the disadvantage of decision tree
+5540,5540,What are the issues in decision tree
+5541,5541,Why are decision trees bad
+5542,5542,Which clustering uses a top down approach
+5543,5543,What are different types of hierarchical clustering algorithms
+5544,5544,Is agglomerative clustering deterministic
+5545,5545,Is negative binomial distribution discrete or continuous
+5546,5546,How do you tell if a distribution is discrete or continuous
+5547,5547,What happens when learning rate is too high
+5548,5548,Why might a lower learning rate be superior
+5549,5549,What is the purpose of the one sample z test
+5550,5550,What is a 1 proportion z test
+5551,5551,How is XOR value calculated
+5552,5552,How does XOR encryption work
+5553,5553,What is a standard score in statistics
+5554,5554,How do you find the standard score in Excel
+5555,5555,What is mean square error in neural network
+5556,5556,What does density mean in simple terms
+5557,5557,What is density in your own words
+5558,5558,How is density best defined
+5559,5559,What are the different types of correlation
+5560,5560,What is bivariate correlational
+5561,5561,How many variables does bivariate data have
+5562,5562,What is the moment generating function of a random variable
+5563,5563,How do you find the moment generating function of a discrete random variable
+5564,5564,Why are moment generating functions important
+5565,5565,What is the advantage of computing relative frequency instead of simple frequency
+5566,5566,Is relative frequency the same as frequency
+5567,5567,What is the use of relative frequency
+5568,5568,Why is it advantageous to use a relative frequency histogram instead of a frequency histogram
+5569,5569,What is the difference between the control group and the experimental group quizlet
+5570,5570,What is the meaning of moments
+5571,5571,What does causal analysis mean
+5572,5572,What is the difference between a Z test and an't test and can you give an example to differentiate the two
+5573,5573,What is Z test used for
+5574,5574,What is Fscore in machine learning
+5575,5575,What is dependent variable in statistics
+5576,5576,What is the difference between dependent and independent variable
+5577,5577,How do you calculate weighted average
+5578,5578,What is weighted average used for
+5579,5579,What is the difference between average and weighted average
+5580,5580,Is cluster sampling stratified
+5581,5581,Where are Bayesian networks used
+5582,5582,What is linear operator explain its
+5583,5583,How do you know if a operator is linear
+5584,5584,What are biases in machine learning
+5585,5585,What is bias give an example
+5586,5586,What is bias and variance in machine learning with example
+5587,5587,What are the causes of bias in machine learning
+5588,5588,What is sampling and its significance
+5589,5589,Why is random sampling important in statistics
+5590,5590,What is skewness in statistics
+5591,5591,What is meant by kurtosis in statistics
+5592,5592,What is a latent concept
+5593,5593,What is geometric margin
+5594,5594,What is the relationship between P value and confidence interval
+5595,5595,How do you find P value from confidence interval
+5596,5596,What does it mean if two variables are highly correlated
+5597,5597,How do I remove highly correlated features
+5598,5598,What happens when independent variables are correlated
+5599,5599,What distribution is used for the Wilcoxon rank sum test
+5600,5600,What is a feature in deep learning
+5601,5601,What is the difference between random and systematic error
+5602,5602,What is the difference between random and non random sampling
+5603,5603,What does error rate mean
+5604,5604,What is the misclassification rate
+5605,5605,What is vanishing gradient in RNN
+5606,5606,Which of the following quantity is a second order tensor
+5607,5607,How do you find the adjoint of a linear transformation
+5608,5608,How does SVM work for regression
+5609,5609,What is the difference between SVM and linear regression
+5610,5610,What is the goal of support vector regression SVR )
+5611,5611,What is meant by moment of a distribution
+5612,5612,What are the two types of factor analysis
+5613,5613,How do you analyze a factor analysis
+5614,5614,What is the meaning of Communalities in factor analysis
+5615,5615,What is Bayesian analysis and its purpose
+5616,5616,What are the benefits of hashing
+5617,5617,What is the advantage of hashing over linear search and binary search
+5618,5618,What are the applications of hashing
+5619,5619,How is IQ deviation calculated
+5620,5620,What is the IQ distribution
+5621,5621,How does data get skewed
+5622,5622,How can we avoid skewness in a data
+5623,5623,What are singular vectors LSA
+5624,5624,What is called random experiment
+5625,5625,What is probability event experiment
+5626,5626,Can a probability density function be negative
+5627,5627,How do you know if a probability density function is valid
+5628,5628,What are the properties of probability density function
+5629,5629,How do you know if something is statistically independent
+5630,5630,Why is statistical independence important
+5631,5631,What is false positive in confusion matrix
+5632,5632,What is BFS and DFS explain with example
+5633,5633,What is DFS vs BFS
+5634,5634,How do you do DFS and BFS
+5635,5635,Where would you use a confidence interval in everyday life
+5636,5636,What can confidence intervals be used for
+5637,5637,What are the advantages and disadvantages of using decision trees
+5638,5638,What is Overfitting problem while building a decision tree model
+5639,5639,What is the purpose of using training examples in a neural network
+5640,5640,What are the steps in neural network training
+5641,5641,What is Minibatch in machine learning
+5642,5642,Why is it called Q learning
+5643,5643,What is deep Q learning
+5644,5644,What are the characteristics of distribution
+5645,5645,What is not a characteristic of a normal distribution
+5646,5646,What is normal probability distribution and its characteristics
+5647,5647,What is CNN in machine learning
+5648,5648,What is a CNN used for
+5649,5649,Can a random variable be discrete
+5650,5650,Can a random variable be continuous
+5651,5651,Is time a discrete or continuous random variable
+5652,5652,Can clustering be used for prediction
+5653,5653,How do you determine a cluster
+5654,5654,What is temporal data warehouse
+5655,5655,What is meant by the dimensionality of data
+5656,5656,What is the artificial intelligence
+5657,5657,What is annotation in deep learning
+5658,5658,How do I annotate a picture in Word
+5659,5659,What is asynchronous data transfer explain in detail
+5660,5660,What is synchronous and asynchronous data transfer
+5661,5661,What is the meaning of asynchronous
+5662,5662,How does the goodness of fit test differ from the chi square variance test
+5663,5663,Can a chi square test for independence be used to determine causation
+5664,5664,Why is a chi square called goodness of fit rather than a hypothesis test
+5665,5665,What is stochastic gradient descent approach
+5666,5666,What is stochastic gradient descent vs gradient descent
+5667,5667,What is SGD in machine learning
+5668,5668,What are the continuous distributions
+5669,5669,How do you find the continuous probability distribution
+5670,5670,What are discrete probability distributions
+5671,5671,What is called output
+5672,5672,What is output device short answer
+5673,5673,How do you find the probability of specificity and sensitivity
+5674,5674,What is train Loss and Validation loss
+5675,5675,What can make a R squared value be negative
+5676,5676,Can R Squared adjusted be negative
+5677,5677,Can you have a negative coefficient of determination
+5678,5678,What causes a low R squared value
+5679,5679,What is an approximately normal distribution
+5680,5680,What makes normally distributed
+5681,5681,What makes a sampling distribution approximately normal
+5682,5682,How do you determine if data is approximately normally distributed
+5683,5683,What are the classification algorithms in machine learning
+5684,5684,What is classification of algorithm
+5685,5685,What are classification algorithms used for in data science
+5686,5686,Which is the best classification algorithm in machine learning
+5687,5687,How do you calculate coefficient
+5688,5688,What is data structures and its types
+5689,5689,What are the different data structures
+5690,5690,What is structure in data structure
+5691,5691,What is the formula for positive predictive value
+5692,5692,What is the difference between structured and unstructured data
+5693,5693,What is structured and unstructured data in data science
+5694,5694,What is structured data with example
+5695,5695,What is not random sampling
+5696,5696,What are the types of random and non random sampling technique
+5697,5697,What are the types of random sampling
+5698,5698,What is random sampling method in research
+5699,5699,How does neural network fix Overfitting
+5700,5700,What causes Overfitting How do you stop Overfitting in neural networks
+5701,5701,How do you interpret covariance
+5702,5702,What is covariance meaning
+5703,5703,What is logistic regression mixed effect
+5704,5704,Will MinMax scaling affect the values of dummy variables
+5705,5705,Do you standardize dummy variables
+5706,5706,What does a quantile plot show
+5707,5707,How do you interpret a quantile quantile plot
+5708,5708,What is the difference between PP plot and QQ plot
+5709,5709,What is a QQ plot explain the use and importance of a QQ plot in linear regression
+5710,5710,What is partial clustering
+5711,5711,Is CNN a machine learning algorithm
+5712,5712,Can a regression line be negative
+5713,5713,How do you interpret a regression line
+5714,5714,What does r2 tell you about your regression line
+5715,5715,What is the difference between probability and Nonprobability sampling
+5716,5716,Is confusion matrix symmetric
+5717,5717,What is confusion matrix in python
+5718,5718,What does it mean to say that the normal distribution is asymptotic
+5719,5719,Is normal distribution asymptotic
+5720,5720,How do you derive asymptotic distribution
+5721,5721,How do you show asymptotic normality
+5722,5722,What is a sampling frame and why is it important
+5723,5723,What is a sample frame in statistics
+5724,5724,What are the types of sampling frames
+5725,5725,Why NumPy is used in machine learning
+5726,5726,What is the use of NumPy and pandas in Python
+5727,5727,What is bootstrap and how does it work
+5728,5728,How is the loss function defined
+5729,5729,How do you calculate loss in machine learning
+5730,5730,How do you calculate loss in neural network
+5731,5731,What is a loss function in deep learning
+5732,5732,What is a random variable statistics quizlet
+5733,5733,What is bivariate data correlation
+5734,5734,What does bivariate mean in statistics
+5735,5735,How does mini batch gradient descent work
+5736,5736,How do you do batch gradient descent
+5737,5737,What is the difference between proper subset and superset
+5738,5738,What does an F test tell you
+5739,5739,What is the relationship between T and F statistics
+5740,5740,When should you use F test
+5741,5741,What does the t test do
+5742,5742,Can decision trees handle missing values
+5743,5743,What is simulation and its types
+5744,5744,What is the purpose of simulation
+5745,5745,What is the meaning behind the Matrix
+5746,5746,What's the story of the Matrix
+5747,5747,What is the purpose of the Matrix
+5748,5748,What is the lesson of the Matrix
+5749,5749,What is sub sampling in statistics
+5750,5750,Why are CNNs not scale invariant
+5751,5751,Is clustering supervised or unsupervised learning
+5752,5752,Is clustering unsupervised
+5753,5753,Is K means clustering supervised learning
+5754,5754,What is Sigma Gaussian
+5755,5755,What is kernel size in Gaussian blur
+5756,5756,What is Gaussian low pass filter
+5757,5757,What is the difference between traditional machine learning and deep learning
+5758,5758,Which is better machine learning or deep learning
+5759,5759,What are the advantages of deep learning approach over classical machine learning approach
+5760,5760,Does AI use human intelligence
+5761,5761,What are the steps of NLP
+5762,5762,What is F value in Anova
+5763,5763,What does F value mean
+5764,5764,What is F and F critical value in Anova
+5765,5765,What does F test mean
+5766,5766,What is the standard error quizlet
+5767,5767,What is the standard error of the sample mean
+5768,5768,Which of the following are used to calculate the standard error of the mean
+5769,5769,What is meant by quantization of charge
+5770,5770,What is meant by quantization of charge Class 12
+5771,5771,How do you test for normality in a QQ plot
+5772,5772,What does a normal quantile plot tell you
+5773,5773,How do I interpret a QQ plot in SPSS
+5774,5774,Is a QQ plot a normal probability plot
+5775,5775,Is Type 1 error the same as significance level
+5776,5776,How does significance level affect Type 2 error
+5777,5777,What does biased estimator mean
+5778,5778,What does biased mean in statistics
+5779,5779,What creates a biased estimator of a population parameter
+5780,5780,Where do we use clustering
+5781,5781,What is clustering explain with an example
+5782,5782,What is meant by pattern recognition
+5783,5783,What is pattern recognition and machine learning
+5784,5784,What is pattern recognition with example
+5785,5785,What are the different ML models
+5786,5786,Which model belongs to machine learning
+5787,5787,What causes bias in regression
+5788,5788,What is the concept of reinforcement learning
+5789,5789,Why do logit and probit coefficient estimates differ
+5790,5790,Does logistic regression use Maximum Likelihood
+5791,5791,What is stacking model
+5792,5792,What is blending in machine learning
+5793,5793,How is engine efficiency calculated
+5794,5794,How can something be statistically significant yet not clinically significant
+5795,5795,What does practically significant mean in statistics
+5796,5796,What is meant by optimization
+5797,5797,What are the elements of an optimization problem
+5798,5798,What is the null hypothesis for a chi square test group of answer choices
+5799,5799,How do you interpret log likelihood
+5800,5800,How is hinge loss calculated
+5801,5801,What is categorical hinge loss
+5802,5802,What does the line of regression represent
+5803,5803,Why are regression lines useful
+5804,5804,What does the area under the ROC curve provide us
+5805,5805,What are the advantages and disadvantages of convenience sampling
+5806,5806,How do you determine sample size for convenience sampling
+5807,5807,Why the mean of the log normal distribution is larger than median
+5808,5808,How is accuracy score calculated
+5809,5809,What is the purpose of cross validation in machine learning
+5810,5810,What is cross validation error in machine learning
+5811,5811,Why is panel data better
+5812,5812,When would you use panel data analysis
+5813,5813,What is the difference between panel data and pooled data
+5814,5814,How many independent variables can you have in multiple regression
+5815,5815,Is it OK to have multiple independent variables
+5816,5816,How many independent variables can I have
+5817,5817,What is Regularisation in deep learning
+5818,5818,What are the types of filters used in rectifier and which is better and why
+5819,5819,What is a big advantage of exponential smoothing
+5820,5820,How is moving average different from exponential smoothing
+5821,5821,What is the two norm of a matrix
+5822,5822,What are norms in linear algebra
+5823,5823,What's the difference between L1 and L2 regularization and why would you use each
+5824,5824,Is Fourier series Periodic
+5825,5825,Is the Dtft periodic
+5826,5826,Why Fourier series is used for periodic signals
+5827,5827,Is CNN a classification algorithm
+5828,5828,Can CNN be used for text classification
+5829,5829,Where CNN can be used
+5830,5830,Is logistic regression sigmoid function
+5831,5831,Why we use sigmoid function in logistic regression
+5832,5832,Where is sigmoid function used
+5833,5833,Is a normal probability distribution continuous or discrete
+5834,5834,Is a normal random variable discrete or continuous
+5835,5835,Is PDF discrete or continuous
+5836,5836,What is the meaning of decision theory
+5837,5837,What is probability theory in decision making
+5838,5838,What is Poisson distribution find its mean and variance
+5839,5839,When should you use a Poisson distribution
+5840,5840,What is the application of Poisson distribution
+5841,5841,Is DFS a greedy algorithm
+5842,5842,How accurate is Monte Carlo simulation
+5843,5843,Is Monte Carlo a learning machine
+5844,5844,How do you measure accuracy of a model
+5845,5845,How do you evaluate predictive performance models
+5846,5846,How do you handle categorical variables in multiple regression
+5847,5847,Can we scale categorical variables
+5848,5848,What does regression line mean
+5849,5849,What does the term regression mean
+5850,5850,Why is it called the least squares regression line
+5851,5851,What are the types of data mining
+5852,5852,What are the two task of data mining
+5853,5853,What is data data mining
+5854,5854,What are the four data mining techniques
+5855,5855,What is stationary and non stationary signals
+5856,5856,What is a stationary process in statistics
+5857,5857,How can the performance of machine learning model be improved
+5858,5858,What is model optimization
+5859,5859,How do you optimize a deep learning model
+5860,5860,What is agent in reinforcement learning
+5861,5861,How the performance of a learning algorithm is assessed
+5862,5862,What are the types of knowledge representation
+5863,5863,What is the difference between correlation coefficient and r2
+5864,5864,What is difference between R and R Squared
+5865,5865,What does the coefficient of determination tell you about correlation
+5866,5866,What's the difference between the coefficient of determination and the coefficient of alienation
+5867,5867,How are signals processed
+5868,5868,What are the types of discrete variable
+5869,5869,Which of the following is an example of a discrete variable
+5870,5870,What are discrete variables in research
+5871,5871,How do you find a Type 2 error in statistics
+5872,5872,Why does RELU work better than sigmoid
+5873,5873,What is the difference between Word2vec and BoW
+5874,5874,What is bag of words in text mining
+5875,5875,What is image processing
+5876,5876,What is connectivity in image processing
+5877,5877,What are the types of connectivity in image processing
+5878,5878,Is deep learning in demand
+5879,5879,Which testing technique is best
+5880,5880,How do you find the median of a class interval and frequency
+5881,5881,How do you find the mean of a class interval in a frequency table
+5882,5882,How do you find the mean median and mode from a frequency table
+5883,5883,What is the difference between classification and regression
+5884,5884,What is the difference between classification and prediction
+5885,5885,Is neural network regression or classification
+5886,5886,What is the difference between t test and F test
+5887,5887,What is the difference between F and Student t test in multiple linear regression
+5888,5888,Is P exactly 0.05 statistically significant
+5889,5889,How does Hidden Markov model work
+5890,5890,What is inverse normal cumulative distribution function
+5891,5891,How do you find the inverse of CDF
+5892,5892,Can CDF be negative
+5893,5893,How do you use norm S Inv
+5894,5894,What does the power of the test mean
+5895,5895,What does power of the test mean in statistics
+5896,5896,What are Logits in Tensorflow
+5897,5897,What does from Logits mean
+5898,5898,What does from NumPy import * mean
+5899,5899,What is the difference between import and from import in Python
+5900,5900,What is NumPy in Python
+5901,5901,What is considered a false alarm
+5902,5902,What is the probability of detection
+5903,5903,What is miss rate and false alarm rate
+5904,5904,What is Minimax search procedure in artificial intelligence
+5905,5905,What is Minimax procedure
+5906,5906,What is univariate correlation
+5907,5907,What is clustering useful for
+5908,5908,How do you cluster high dimensional data
+5909,5909,How does Lstm works for text classification
+5910,5910,How do you explain degrees of freedom in statistics
+5911,5911,What is meant by the reward pathways of the reward center of the brain
+5912,5912,How can recall rates be increased
+5913,5913,How do you improve recall in random forest
+5914,5914,What is recall in machine learning
+5915,5915,What is imbalanced dataset in machine learning
+5916,5916,Why do we balance dataset
+5917,5917,What is meant by the term vector
+5918,5918,What is called vector give example
+5919,5919,Can a human be a vector
+5920,5920,What is a vector in computers
+5921,5921,What are the conditions for chi square test
+5922,5922,What kind of distribution is chi square
+5923,5923,How do you find the chi square distribution
+5924,5924,What is meant by inferential statistics
+5925,5925,What is inferential statistics with relevant examples
+5926,5926,What is difference between simple linear and multiple linear regressions
+5927,5927,When should you use multiple linear regression
+5928,5928,Is TensorFlow part of Python
+5929,5929,Which language is used in TensorFlow
+5930,5930,How does deep dream generator work
+5931,5931,How do you know if you should reject the null hypothesis
+5932,5932,Why training accuracy is lower than validation
+5933,5933,Is normalization necessary for random forest
+5934,5934,Which ML algorithms need normalization
+5935,5935,How do you find the upper and lower bounds margin of error
+5936,5936,What happens to margin of error when sample size decreases
+5937,5937,How can you detect edges with gradient filters
+5938,5938,What is standard normal loss function
+5939,5939,Is pixel binning good
+5940,5940,How does pixel size affect image quality
+5941,5941,What is simultaneous equation in econometrics
+5942,5942,What is meant by false positive
+5943,5943,What causes false positive results
+5944,5944,What is a multiclass model
+5945,5945,Can Anova be used to compare two groups
+5946,5946,How do you determine statistical significance between two groups
+5947,5947,What is the difference between binomial and Poisson
+5948,5948,When would the Poisson distribution be used instead of the binomial
+5949,5949,What is the process of dividing each feature by its range called Brainly
+5950,5950,What is the process of subtracting the mean of each variable from its variable called in machine learning
+5951,5951,How are the parameters updated during gradient descent
+5952,5952,How do you know if two categorical variables are related
+5953,5953,How do you analyze the relationship between two variables
+5954,5954,What is cumulative frequency distribution in statistics
+5955,5955,What is considered a high t statistic
+5956,5956,How do you know if a t test is significant
+5957,5957,How are F and the t statistic related
+5958,5958,Is the F value the test statistic
+5959,5959,Is t test the same as test statistic
+5960,5960,How do you do singular value decomposition
+5961,5961,What is classification modeling
+5962,5962,What does a classification model do in machine learning
+5963,5963,What are classification models used for
+5964,5964,What is classifier in machine learning
+5965,5965,What is amortized inference
+5966,5966,What does amortized mean
+5967,5967,How do you find the margin of error when given the mean and standard deviation
+5968,5968,How do you find the margin of error of a sample size
+5969,5969,How do you calculate population standard deviation from sample standard deviation
+5970,5970,How do you test a machine learning model
+5971,5971,What is the difference between AdaBoost and XGBoost
+5972,5972,What is the difference between gradient boosting and eXtreme gradient boosting
+5973,5973,What is XGBoost eXtreme
+5974,5974,What is the main difference between gradient boosting and other tree based methods
+5975,5975,What is a classifier in ML
+5976,5976,What is classification and regression in ML
+5977,5977,How do you visualize two categorical variables
+5978,5978,Which analysis is appropriate for categorical data
+5979,5979,What is true about kernel in SVM
+5980,5980,What is the use of kernel in SVM
+5981,5981,What is the F ratio
+5982,5982,What is F value and P value in Anova
+5983,5983,What does F test tell you
+5984,5984,Which one is the disadvantage of linear regression
+5985,5985,What is the linear of advantages
+5986,5986,Why do we log variables in regression
+5987,5987,What is log econometrics
+5988,5988,Why do we apply log transformation
+5989,5989,Why do we log time series data
+5990,5990,How do you find the Y in a linear regression
+5991,5991,How do you write a prediction in a regression equation
+5992,5992,How do you find y bar in linear regression
+5993,5993,What are the types of events in probability
+5994,5994,What are the types of events
+5995,5995,Where is median filter in image processing
+5996,5996,Is a median filter linear
+5997,5997,How does SVM work in machine learning
+5998,5998,What does the Wilcoxon rank sum test show
+5999,5999,How do you rank up in Wilcoxon rank sum test
+6000,6000,What is bimodal or multimodal data
+6001,6001,Would you describe the histogram as unimodal bimodal or multimodal
+6002,6002,What does bimodal data mean
+6003,6003,Is neural network supervised or unsupervised
+6004,6004,What are the two requirements for performing binary search
+6005,6005,How do you establish the reliability of a questionnaire
+6006,6006,How can you make sure the construct validity of a questionnaire
+6007,6007,Is columnar database NoSQL
+6008,6008,How do you decrease variance
+6009,6009,What does common random numbers refer to
+6010,6010,What is the difference between P value and probability
+6011,6011,Is P value the probability
+6012,6012,When can you use the normal distribution to approximate the Poisson distribution
+6013,6013,What scale of measurement is Kelvin
+6014,6014,Why moving average method is used
+6015,6015,What is the benefit of using averages in forecasting
+6016,6016,What are the advantages of moving average method
+6017,6017,How and why does learning rate decay provide better convergence
+6018,6018,What is necessary for machine learning
+6019,6019,What is temporal reasoning in artificial intelligence
+6020,6020,What is the meaning of variance in statistics
+6021,6021,How do we calculate variance
+6022,6022,Do you want a high or low coefficient of variation
+6023,6023,How do you make a Gaussian filter in Matlab
+6024,6024,What is hidden in hidden Markov model
+6025,6025,What is gradient vanishing and exploding problem
+6026,6026,Can random forest handle unbalanced data
+6027,6027,Can decision trees handle imbalanced data
+6028,6028,Did JJ Abrams make Lost
+6029,6029,What did JJ Abrams do
+6030,6030,How do I know when to reject or fail to reject the null hypothesis
+6031,6031,What is data mining in simple terms
+6032,6032,What is data mining and why is it important
+6033,6033,What is a binomial logistic regression
+6034,6034,Can you use logistic regression for regression
+6035,6035,Why predictive modeling is important
+6036,6036,Where can predictive analytics be used
+6037,6037,What is the goal of statistical analysis
+6038,6038,What is the purpose of studying statistics
+6039,6039,What is the definition of a statistic
+6040,6040,What is an instance in ML
+6041,6041,What is an instance in a training dataset
+6042,6042,What are instances in data
+6043,6043,What are Autoencoders used for
+6044,6044,What is used for dimensionality reduction
+6045,6045,Is PCA and Autoencoder
+6046,6046,What is the use of coefficient of variance
+6047,6047,Under what circumstances is it necessary to use the coefficient of variation to compare relative variability between two or more distributions
+6048,6048,What is heuristic function discuss with an example
+6049,6049,How does statistical significance relate to correlation
+6050,6050,What is the difference between correlation and significance
+6051,6051,What does statistical significance mean
+6052,6052,What will be the modeling technique used to predict a categorical variable in R
+6053,6053,What is the use of convolution in image processing
+6054,6054,How do you use convolution on a photo
+6055,6055,What is orange in Anaconda
+6056,6056,Which layer uses the kernel function in RBF network
+6057,6057,Which algorithm is used to find RBF unit Centre
+6058,6058,Which of the following loss functions is most sensitive to outliers
+6059,6059,What are the two types of arguments
+6060,6060,Why is it appropriate to fit a logistic regression model in this situation
+6061,6061,What are the applications of logistic regression
+6062,6062,What is the difference between stratified and cluster sampling
+6063,6063,What is a class interval in statistics
+6064,6064,How do you find the class interval in statistics
+6065,6065,What is class size in statistics with example
+6066,6066,How do you split an imbalanced dataset
+6067,6067,What is T in multiple linear regression
+6068,6068,Is systematic sampling probability sampling
+6069,6069,How do you calculate population variance and standard deviation
+6070,6070,What is a population variance in statistics
+6071,6071,Why do averaging models
+6072,6072,Which is a numerical criterion commonly used for model selection
+6073,6073,How do you calculate degrees of freedom for Anova
+6074,6074,How do you calculate sample size from degrees of freedom
+6075,6075,How do you find the degrees of freedom within and between
+6076,6076,How do you do Poisson approximation
+6077,6077,How do you calculate normal approximation
+6078,6078,Under what condition Poisson distribution tends to normal distribution
+6079,6079,Why approximate binomial distribution is normal
+6080,6080,What is pseudo entropy
+6081,6081,How do you calculate relative entropy
+6082,6082,How do you determine omitted variable bias
+6083,6083,How do you create a classification model of an image
+6084,6084,What is the formula of harmonic mean
+6085,6085,What is the value of lambda
+6086,6086,How do you interpret Lambda statistics
+6087,6087,What is batch size in deep learning
+6088,6088,How many samples do you need for deep learning
+6089,6089,What is regression equation of Y on X
+6090,6090,What is the value of regression coefficient of Y on X
+6091,6091,What do you mean by Perceptron
+6092,6092,What is Perceptron example
+6093,6093,What is Perceptron in neural network Mcq
+6094,6094,What is cross sectional analysis
+6095,6095,What is the difference between cross sectional and panel data
+6096,6096,How do I calculate the correlation coefficient
+6097,6097,What is the formula of Karl Pearson coefficient of correlation
+6098,6098,What is an odds ratio of 2
+6099,6099,What does an odds ratio of 0.4 mean
+6100,6100,How is Fleiss kappa calculated
+6101,6101,How do you calculate Cohen's kappa in Excel
+6102,6102,What is Bernoulli distribution used for
+6103,6103,What is the difference between binomial and Bernoulli distribution
+6104,6104,What are the two key characteristics of the Bernoulli distribution
+6105,6105,How do I export data from twitter
+6106,6106,How do I export from twitter to excel
+6107,6107,How do I export data from twitter analytics
+6108,6108,Is LDA unsupervised learning
+6109,6109,Is LDA a clustering algorithm
+6110,6110,What is multilevel modeling approach
+6111,6111,What is a multi level analysis
+6112,6112,How do you define a tensor in TensorFlow
+6113,6113,How do you define a tensor in Python
+6114,6114,What are data points
+6115,6115,Does normalization improve performance
+6116,6116,Why is normalization important in machine learning
+6117,6117,Is Max pooling shift invariant
+6118,6118,Does Max pooling affect backpropagation
+6119,6119,What is the meaning of linear model
+6120,6120,What is linear forecasting model
+6121,6121,What is alternative form reliability
+6122,6122,Is multinomial distribution continuous
+6123,6123,Are binomial distributions independent
+6124,6124,What is multi agent RL
+6125,6125,How do you sample from a given distribution
+6126,6126,What is the sample distribution of the sample mean
+6127,6127,What does it mean to sample
+6128,6128,What does it mean to sample data
+6129,6129,What happens to t distribution when sample size increases
+6130,6130,How does sample size affect t test
+6131,6131,How does sample size affect distribution
+6132,6132,What type of sample size is used for t distribution
+6133,6133,How do you do a univariate analysis
+6134,6134,Which data analysis tools can be used to Analyse univariate data
+6135,6135,What is a common way to show univariate data
+6136,6136,How do you know if a variable is significant in multiple regression
+6137,6137,How do you know if a regression model is significant
+6138,6138,How do you know if an independent variable is statistically significant
+6139,6139,What is multivariable optimization
+6140,6140,What is multivariate function
+6141,6141,How do you optimize two variables
+6142,6142,Which algorithm adopts the principle of optimality
+6143,6143,What are the properties of random sampling
+6144,6144,What is the main objective of using stratified random sampling
+6145,6145,What are the two types of stratified random sampling
+6146,6146,How is stratified random sampling used in research
+6147,6147,When to use one sided or two sided test
+6148,6148,What is the difference between a one tailed and two tailed hypothesis test
+6149,6149,What is the difference between a one sided and a two sided alternative hypothesis
+6150,6150,What type of variable is the dependent variable
+6151,6151,How do you find the trend in a time series data
+6152,6152,What is the trend
+6153,6153,What's the difference between a trend and seasonality
+6154,6154,What is the difference between mad and MSE
+6155,6155,How hierarchical clustering is used
+6156,6156,Which of the following is hierarchical clustering algorithm
+6157,6157,What is meant by least square method
+6158,6158,How does weighted regression work
+6159,6159,What is the correct way to preprocess the data
+6160,6160,What is data preprocessing in R
+6161,6161,What is preprocessing of dataset
+6162,6162,How do you create a dataset in R
+6163,6163,Are events A and B statistically independent
+6164,6164,What is P A or B if A and B are independent
+6165,6165,What is PR B if A and B are independent events
+6166,6166,What is a variable distinguish between a discrete and continuous variable with example
+6167,6167,What is the uses of range
+6168,6168,Why do we calculate range in statistics
+6169,6169,What is Range function
+6170,6170,What is Artificial Intelligence meaning
+6171,6171,What is Artificial Intelligence explain with example
+6172,6172,What is data classification in machine learning
+6173,6173,How do you classify machine learning
+6174,6174,What are the different types of classification of data
+6175,6175,How do you do classification
+6176,6176,How do you know which regression to use
+6177,6177,Is machine learning better than statistics
+6178,6178,Does machine learning use statistics
+6179,6179,Is machine learning the same as predictive analytics
+6180,6180,What is multi regression analysis
+6181,6181,What is supervised and unsupervised classification
+6182,6182,What is the difference between supervised and unsupervised
+6183,6183,How do you do feature extraction
+6184,6184,How features are extracted from an image using CNN
+6185,6185,What are the features of an image
+6186,6186,What increases entropy
+6187,6187,What form of energy is commonly associated with entropy
+6188,6188,Does kinetic energy increase entropy
+6189,6189,What happens to energy when entropy increases
+6190,6190,How do you find the mode of an unequal class interval
+6191,6191,How do you find the mode of a class interval
+6192,6192,Why is it called logistic function
+6193,6193,What is the difference between exponential function and logistic function
+6194,6194,What is clustering and its applications
+6195,6195,What is the principle of clustering
+6196,6196,How many hidden layers are there in this neural network
+6197,6197,How do you calculate alpha using CAPM
+6198,6198,What is Alpha in CAPM
+6199,6199,How is alpha measured
+6200,6200,Where do we use eigenvalues Mcq
+6201,6201,How do you identify a linear model
+6202,6202,What is linear and nonlinear data in machine learning
+6203,6203,What is a variational parameter
+6204,6204,What is unbiased variance
+6205,6205,What is unbiased sample variance
+6206,6206,Why is the unbiased estimator of variance used
+6207,6207,Can you have multiple dependent variables in regression
+6208,6208,How do you create a multivariable regression model
+6209,6209,What's a systematic random sample
+6210,6210,What does sparsity mean
+6211,6211,What is sparsity of data
+6212,6212,What is a trimmed mean in statistics
+6213,6213,What is ridge regression in machine learning
+6214,6214,How does Arima model work
+6215,6215,How AI is used in cybersecurity
+6216,6216,How does AI improve cyber security
+6217,6217,What is Cyber AI
+6218,6218,What is frequency response of a filter
+6219,6219,What does low pass frequency do
+6220,6220,What are the three response ranges of a low pass filter
+6221,6221,What does the frequency response of a filter measure or indicate
+6222,6222,What is the PA and B if A and B are mutually exclusive
+6223,6223,What is the cost function of logistic regression
+6224,6224,When can binomial be approximated by normal
+6225,6225,What is the sample size you need to approximate a binomial distribution with a normal distribution
+6226,6226,Does XFL have different rules
+6227,6227,How is XFL different
+6228,6228,How do you find P value from T
+6229,6229,How do you define hidden layers
+6230,6230,What is frequency in image processing
+6231,6231,What does frequency mean
+6232,6232,What is FFT of an image
+6233,6233,What is frequency content
+6234,6234,Is recommender system supervised or unsupervised
+6235,6235,Is collaborative filtering an algorithm
+6236,6236,What does and and/or mean in probability
+6237,6237,Is and times in probability
+6238,6238,Is PDF derivative of CDF
+6239,6239,Is the CDF the integral of the PDF
+6240,6240,How do you derive cumulative distribution function
+6241,6241,How do I get random variables in PDF
+6242,6242,For what examples could a binomial distribution be used
+6243,6243,What is a matrix simple definition
+6244,6244,What does matrix mean in slang
+6245,6245,What does being in the matrix mean
+6246,6246,How do you measure focus
+6247,6247,How do you measure concentration and attention
+6248,6248,How do you measure visual attention
+6249,6249,What are the dangers of group think
+6250,6250,What is aggressive groupthink
+6251,6251,Is groupthink positive or negative
+6252,6252,How do you split a matrix into Submatrices in Matlab
+6253,6253,What is rank deficient matrix
+6254,6254,What is low rank representation
+6255,6255,What is rank in matrices
+6256,6256,What is a two sample t test example
+6257,6257,What is a two sided t test
+6258,6258,What are the two types of t tests
+6259,6259,Why do we use distributions in statistics
+6260,6260,How do you find the probability of a random event
+6261,6261,What is the definition of event in probability
+6262,6262,Do you want a high or low adjusted R squared
+6263,6263,What does R squared value tell us
+6264,6264,What is an acceptable adjusted R squared value
+6265,6265,What is the meaning of Markov
+6266,6266,What are the features of image processing
+6267,6267,What is stratified sampling explain with example
+6268,6268,How do you do stratified random sampling
+6269,6269,Which filter is referred to as a low pass filter
+6270,6270,What is blob detection in image processing
+6271,6271,What is blob analysis in Matlab
+6272,6272,Are any of the measures of dispersion among the range the variance and the standard deviation resistant
+6273,6273,Is dispersion the same as variance
+6274,6274,Is variance a relative measure of dispersion
+6275,6275,What is the range of variance
+6276,6276,What does a relative frequency graph show
+6277,6277,What is L1 and L2 Penalty
+6278,6278,What is a 2 norm
+6279,6279,How is Mnist dataset created
+6280,6280,What is telemetry analytics
+6281,6281,How do you select important variables while working on a data set
+6282,6282,What is non linear classifier
+6283,6283,Why is kNN nonlinear
+6284,6284,How do you control variables in an experiment
+6285,6285,Why use Softmax vs sigmoid
+6286,6286,What is the difference between discrete and continuous variables under what circumstances would each be applicable
+6287,6287,What is the difference between discrete and continuous quantitative variables
+6288,6288,What is multidimensional data
+6289,6289,What are the types of clustering algorithms
+6290,6290,Which of the following is clustering algorithm
+6291,6291,What is homogeneous data type
+6292,6292,What is homogenous population
+6293,6293,How can I improve my reasoning
+6294,6294,Where is an IDS IPS located on a network
+6295,6295,Would you use a one tailed or two tailed test Why
+6296,6296,Why would you use a one tailed test
+6297,6297,How do you know if its a one tailed or two tailed test
+6298,6298,What is the difference between a feedforward neural network and recurrent neural network
+6299,6299,What is the odds ratio in logistic regression SPSS
+6300,6300,What can statistical analysis be used for
+6301,6301,Where is statistics used in everyday life
+6302,6302,What type of regression is used when the dependent variable is dichotomous
+6303,6303,What type of regression is used when the dependent variable is binary
+6304,6304,What is dichotomous dependent variable
+6305,6305,Why use root mean squared RMSE over mean squared error MSE
+6306,6306,What is RMSE root mean square error )? Why RMSE is important when building a model
+6307,6307,Do neural networks need feature scaling
+6308,6308,Does loss function need to be differentiable
+6309,6309,What is a factor in factor analysis
+6310,6310,What assumptions should be fulfilled to use factor analysis
+6311,6311,What is factor analysis in SPSS
+6312,6312,What is sentiment analysis and how it works
+6313,6313,What are the steps in sentiment analysis
+6314,6314,What is a good sentiment score
+6315,6315,How the data is Analysed using sentiment analysis
+6316,6316,What is the difference between a sample distribution and a sampling distribution
+6317,6317,What happens to the mean of the sampling distribution of the sample means when the sample size increases
+6318,6318,Why logarithmic function is important
+6319,6319,What are natural logarithms used for
+6320,6320,Which type of problems can be solved by unsupervised learning
+6321,6321,What is unsupervised learning good for
+6322,6322,What is example of unsupervised learning
+6323,6323,What is time series data
+6324,6324,What is the rejection region
+6325,6325,What is SGD deep learning
+6326,6326,What is the CDF of a gamma distribution
+6327,6327,How do you find the MLE of Gamma distribution
+6328,6328,What type of data is Anova
+6329,6329,Is pattern recognition a sign of intelligence
+6330,6330,Can Bayesian model averaging be done with a large amount of predictors
+6331,6331,Why is the Zellner GG Prior useful in Bayesian model averaging
+6332,6332,What type of study is a randomized controlled trial
+6333,6333,Is randomized controlled trial quantitative or qualitative
+6334,6334,Is a randomized controlled trial an observational study
+6335,6335,What is an optimal control problem
+6336,6336,How does Lqr work
+6337,6337,Why is logistic regression better than linear regression
+6338,6338,Why do we use logistic regression
+6339,6339,Why logistic regression is not used in linear regression
+6340,6340,What is the main difference between linear regression and logistic regression
+6341,6341,What is SRG batch Allen
+6342,6342,Why does Lstm solve vanishing gradient
+6343,6343,What is state in Lstm
+6344,6344,Is a null hypothesis two tailed
+6345,6345,Is null hypothesis H0 or H1
+6346,6346,How do you know if a hypothesis is one tailed or two tailed
+6347,6347,What is a false negative example
+6348,6348,Which network has the highest accuracy on Imagenet dataset
+6349,6349,How do you visualize a graph in TensorBoard
+6350,6350,What do you do when a null hypothesis is rejected
+6351,6351,When you reject the null hypothesis in regression What does this imply
+6352,6352,How should you interpret a decision that rejects the null hypothesis
+6353,6353,What makes a system LTI
+6354,6354,What does unsupervised learning mean
+6355,6355,What is supervised and unsupervised in machine learning
+6356,6356,How do you find the mean of a discrete probability distribution
+6357,6357,What is the expected value of this discrete probability distribution
+6358,6358,What is the mean or expected value of the probability distribution
+6359,6359,How do you find the expected value in probability
+6360,6360,What is unit impulse function
+6361,6361,How do you find impulse function
+6362,6362,What is unit impulse function and unit step function
+6363,6363,What is impulse function in Matlab
+6364,6364,Why is sampling method important
+6365,6365,How do you find the sample size of a known population
+6366,6366,How do you find the sample mean given a confidence interval
+6367,6367,How do we calculate sample size
+6368,6368,Why K means unsupervised
+6369,6369,Why is clustering called unsupervised learning
+6370,6370,Which component is used for infusing non linearity in neural networks
+6371,6371,How does ReLU introduce non linearity
+6372,6372,What is homogeneity in stats
+6373,6373,What does a regression tell us
+6374,6374,What is the objective of regression analysis
+6375,6375,How do you find the probability of a posterior
+6376,6376,How do you control a variable in multiple regression
+6377,6377,What does controlling for a variable mean in statistics
+6378,6378,Why do we control for variables
+6379,6379,When and why are unbiased estimators preferred over biased estimates
+6380,6380,Can a biased estimator be efficient
+6381,6381,What does it mean if a statistic is unbiased
+6382,6382,What is zero based sampling
+6383,6383,What is sampling plan for inspection
+6384,6384,Why do things follow a normal distribution
+6385,6385,Does my data follow a normal distribution
+6386,6386,What's the difference between bagging and boosting
+6387,6387,What does bagging mean in machine learning
+6388,6388,What is percentage of variance explained
+6389,6389,What does percent variation mean
+6390,6390,What is the correct null hypothesis for the Kruskal Wallis test
+6391,6391,What does the Kruskal Wallis test tell you
+6392,6392,What is the H value in Kruskal Wallis
+6393,6393,How do you find the CDF from a PDF continuously
+6394,6394,What is the name of a PDF dealing with a continuous variable
+6395,6395,What are the techniques of machine learning
+6396,6396,How many types are available in machine learning
+6397,6397,How do you do a discriminant analysis in SPSS
+6398,6398,What is discriminant analysis in statistics
+6399,6399,Where is beta distribution used
+6400,6400,What is the mode of a beta distribution
+6401,6401,What is the use of Poisson distribution
+6402,6402,Why do we use coefficient of variation
+6403,6403,How do you analyze coefficient of variation
+6404,6404,What does variance tell us in statistics
+6405,6405,What is Modelling in data analysis
+6406,6406,What statistical method is used for analysis of data
+6407,6407,What is the purpose of statistical Modelling
+6408,6408,How do you calculate false negative sensitivity and specificity
+6409,6409,How do you find the sensitivity of a test
+6410,6410,Which is the difference between probabilistic distribution and distribution function
+6411,6411,What does it mean when the skewness is positive
+6412,6412,When dealing with categorical variables in the context of a multivariate regression we
+6413,6413,Can you have 2 dependent variables
+6414,6414,Is the dependent variable the one you keep the same
+6415,6415,What is agents in AI
+6416,6416,What is an agent in AI Mcq
+6417,6417,How do I know how many topics in LDA
+6418,6418,What is Markov analysis used for
+6419,6419,What are the advantages and disadvantages of sampling methods
+6420,6420,Is there bias in stratified sampling
+6421,6421,What is RDD partitioning
+6422,6422,How does spark repartition work
+6423,6423,What is a cross sectional test
+6424,6424,How do I find the value of a tensor
+6425,6425,How do you find the value of Tensorflow variable
+6426,6426,How do you get a tensor value in keras
+6427,6427,How do you do a demographic analysis in SPSS
+6428,6428,What is the purpose of analytics
+6429,6429,Why is analytics so important
+6430,6430,What is distributed representation of words
+6431,6431,What is word embedding in machine learning
+6432,6432,Why do we remove Multicollinearity
+6433,6433,What do you do with correlated features
+6434,6434,Does logistic regression assume conditional independence
+6435,6435,What are assumptions of logistic regression
+6436,6436,Which is not an assumption of logistic regression
+6437,6437,What is the dependent variable in logistic regression
+6438,6438,What is the difference between sample and population in statistics
+6439,6439,How do you define a sampling frame
+6440,6440,What are the requirements of learning laws in neural network
+6441,6441,How do you interpret F results in Excel
+6442,6442,What is significance F in regression
+6443,6443,What are the uses of robots
+6444,6444,Why are robots important
+6445,6445,How do you explain a confusion matrix
+6446,6446,Can linear regression be used for prediction
+6447,6447,What is linear regression in forecasting
+6448,6448,What is linear regression good for
+6449,6449,Is linear regression appropriate
+6450,6450,What are the applications of discriminant analysis
+6451,6451,Is sample variance unbiased
+6452,6452,Which filter is nonlinear
+6453,6453,Is Gaussian filter a linear filter
+6454,6454,Is root mean square the same as standard deviation
+6455,6455,Is root mean square error the same as standard error
+6456,6456,What is root mean square standard deviation
+6457,6457,What is the difference between the mean and standard deviation
+6458,6458,What is the difference between binomial distribution and hypergeometric distribution
+6459,6459,What's the difference between geometric and binomial distribution
+6460,6460,What does hypergeometric mean
+6461,6461,What do you mean by Markov chains
+6462,6462,What is difference between classification and prediction
+6463,6463,What is prediction in artificial intelligence
+6464,6464,Does data analysis require coding
+6465,6465,What is the meaning of extrapolation method
+6466,6466,How do you do extrapolation
+6467,6467,What is the problem with extrapolation
+6468,6468,How do you find the probability of a normal distribution
+6469,6469,What is the purpose of the regression equation
+6470,6470,What are decision trees commonly used for in machine learning
+6471,6471,What is a decision tree and where to use it
+6472,6472,What is the relationship between binomial distribution and Poisson distribution
+6473,6473,Is Poisson a special case of negative binomial
+6474,6474,What type of activation function does ReLU have
+6475,6475,How do you use extended Kalman filters
+6476,6476,What is H matrix in Kalman filter
+6477,6477,What is the difference between multivariable and multivariate
+6478,6478,What is the difference between multivariate analysis and multiple regression
+6479,6479,What is the difference between OLS and GLS
+6480,6480,Why we use OLS model
+6481,6481,How do you prove identically distributed
+6482,6482,What does it mean if two variables are independently distributed
+6483,6483,What does IID mean in probability
+6484,6484,Is linear algebra before or after calculus
+6485,6485,Why is linear algebra after calculus
+6486,6486,How do you measure the accuracy of an Arima model
+6487,6487,How do you find the accuracy of a time series
+6488,6488,How do you interpret Arima results
+6489,6489,What is deep transfer learning
+6490,6490,What is transfer learning used for
+6491,6491,What is stimulus generalization
+6492,6492,Which is an example of stimulus generalization quizlet
+6493,6493,What is stimulus generalization in ABA
+6494,6494,What is dropout layer
+6495,6495,What is the purpose of a dropout layer
+6496,6496,What is dropout method
+6497,6497,What is dropout rate in neural network
+6498,6498,What are the assumptions of the binomial distribution
+6499,6499,What is the difference between logistic regression and linear regression
+6500,6500,Is logistic regression is a regression
+6501,6501,What are CNN filters
+6502,6502,How do CNN filters work
+6503,6503,How do you choose a convolution filter
+6504,6504,What are the types of time series
+6505,6505,How do you read time series data
+6506,6506,Is population standard deviation the same as sample
+6507,6507,How do you know when to use a sample or a population
+6508,6508,Why is sample standard deviation smaller than population standard deviation
+6509,6509,Which of the following is a learning algorithm to predict a numeric quantity
+6510,6510,What is cluster detection
+6511,6511,Why Clustering is used
+6512,6512,How do you solve multi class classification
+6513,6513,How do you solve classification problems
+6514,6514,What is a high cosine similarity
+6515,6515,How do you interpret cosine similarity
+6516,6516,What is Data Regression
+6517,6517,How do you know when to reject the null hypothesis
+6518,6518,What does it mean to reject a hypothesis
+6519,6519,How do you reject the null hypothesis in Z test
+6520,6520,Is the probability of rejecting a hypothesis when it is correct
+6521,6521,Does SLI really make a difference
+6522,6522,How much faster is SLI
+6523,6523,What is random number method
+6524,6524,What is AUC curve in machine learning
+6525,6525,What does AI actually mean
+6526,6526,What is the IQ of AI
+6527,6527,What are the difficulties in applying gradient descent
+6528,6528,What are the steps for using gradient descent algorithm
+6529,6529,Which among the following is the correct formula for evaluating the quality loss coefficient k
+6530,6530,What does a non parametric test do
+6531,6531,How do you find cosine similarity
+6532,6532,How do you find the cosine between two points
+6533,6533,How do you define null hypothesis and alternative hypothesis
+6534,6534,What is the relationship between machine learning deep learning and artificial intelligence explain
+6535,6535,What are the different types of algorithms in machine learning
+6536,6536,How does multiple regression control for variables
+6537,6537,How is regression analysis used in forecasting
+6538,6538,Will deep learning replace machine learning
+6539,6539,Are artificial intelligence machine learning and deep learning same
+6540,6540,What type of machine learning is deep learning
+6541,6541,Which of the following is an example of a discrete random variable
+6542,6542,What is the binomial probability formula
+6543,6543,Why is bootstrapping used
+6544,6544,Why we require bootstrapping whether it is suitable for large dataset
+6545,6545,What is linear regression and why is it used
+6546,6546,What does fit model mean
+6547,6547,How do you fit a data model
+6548,6548,What is Matplotlib in Python
+6549,6549,What is the difference between Matplotlib and Pyplot
+6550,6550,Where is Matplotlib used
+6551,6551,What are statistical features
+6552,6552,What is the meaning of feature extraction
+6553,6553,How linear algebra is used in machine learning
+6554,6554,Is linear algebra required for machine learning
+6555,6555,Is Khan Academy good for linear algebra
+6556,6556,What does the Dirac delta function do
+6557,6557,What is the Laplace transform of the Dirac delta function
+6558,6558,Is Dirac delta function even
+6559,6559,What is variance and how is it calculated
+6560,6560,How do I use hierarchical clustering in R
+6561,6561,What is the R function to divide a dataset into K clusters
+6562,6562,Which of the following function is specifically used to plot clusters in R
+6563,6563,What are the properties of normal distribution
+6564,6564,What is an example of real time application
+6565,6565,What are the examples of real time system
+6566,6566,What are the 2 types of real time systems
+6567,6567,What is meant by AIC
+6568,6568,Why do we use inferential statistics
+6569,6569,How do I extract the features of an image
+6570,6570,What is feature vector of an image
+6571,6571,How does a FFT work
+6572,6572,What is the purpose of maximum likelihood estimation
+6573,6573,What is the purpose of partition
+6574,6574,What is an example of factor analysis
+6575,6575,Does Multicollinearity affect decision tree
+6576,6576,Why does a correlation not imply causation
+6577,6577,How do you prove correlation is causation
+6578,6578,Who said Correlation does not imply causation
+6579,6579,What is variance and bias in machine learning
+6580,6580,What is the difference between bias and variability
+6581,6581,How can I improve my deep learning performance
+6582,6582,What can be done with deep learning
+6583,6583,Which loss function is used for multi class classification
+6584,6584,What is prediction machine learning
+6585,6585,What is predictive algorithm
+6586,6586,Is gradient descent machine learning
+6587,6587,Which of the following is a variant of gradient descent algorithm
+6588,6588,What is modal learning
+6589,6589,What is data modality
+6590,6590,What is multimodal classification
+6591,6591,How do you interpret R squared value
+6592,6592,What is inductive inference in machine learning
+6593,6593,What is logic programming in AI
+6594,6594,How does facial recognition algorithm work
+6595,6595,What is big data analytics in simple words
+6596,6596,What is the use of big data analytics
+6597,6597,What is the difference between big data and data analytics
+6598,6598,Why do we use ensemble learning
+6599,6599,What is entropy in Huffman code
+6600,6600,What are the components of statistical inference
+6601,6601,What are the branches of statistical inference
+6602,6602,What do you mean by prior probability
+6603,6603,What is a prior in machine learning
+6604,6604,How do you analyze a residual plot
+6605,6605,What does a positive residual mean
+6606,6606,How do you find the posterior distribution of theta
+6607,6607,What posterior means
+6608,6608,How do you make a probability distribution histogram in Excel
+6609,6609,How do you construct a probability distribution
+6610,6610,What is logit function in regression
+6611,6611,What is iterator in python
+6612,6612,How do you learn reinforcement
+6613,6613,How long does it take to learn reinforcement learning
+6614,6614,Is reinforcement learning hard to learn
+6615,6615,What are the advantages of median filter
+6616,6616,Is Laplacian filter linear
+6617,6617,What is independent event in probability
+6618,6618,What are dependent and independent events in probability
+6619,6619,What is policy in reinforcement learning
+6620,6620,Why we need sigmoid activation function What are the major drawbacks of it
+6621,6621,What does the sigmoid function do
+6622,6622,What is the problem with the Tanh and sigmoid activation function
+6623,6623,What is ensemble learning what is the difference between bagging and boosting
+6624,6624,Is bagging an ensemble method
+6625,6625,How do you create a correlation
+6626,6626,How do you find the correlation between two independent variables
+6627,6627,How do you determine correlation
+6628,6628,How are categorical variables used in linear regression
+6629,6629,What is step size parameter
+6630,6630,What is the difference between steps and epochs
+6631,6631,What are the steps in machine learning process
+6632,6632,How do you handle large data sets
+6633,6633,How do you analyze a large set of data
+6634,6634,How do I train my dataset
+6635,6635,How do you train inductive reasoning
+6636,6636,How do you understand inductive reasoning
+6637,6637,How do you do well in logical reasoning test
+6638,6638,What is the objective of n gram models
+6639,6639,How do you know if two samples are the same population
+6640,6640,How do I compare two distributions in Excel
+6641,6641,How would you determine whether the difference between the two populations is statistically significant
+6642,6642,Can Knn be used for both classification and regression
+6643,6643,What is dimensionality reduction problem why is it necessary in machine learning
+6644,6644,What is dimensionality reduction in data mining
+6645,6645,What data type does the input () function return
+6646,6646,What is the functionality of input () and output () functions
+6647,6647,What makes a variable normally distributed
+6648,6648,How do you prove normal distribution
+6649,6649,Why do we create dummy variables in logistic regression
+6650,6650,How do you interpret dummy variables in regression
+6651,6651,What power spectral density tells us
+6652,6652,Why are neural networks used
+6653,6653,What is a general function of neural networks
+6654,6654,What are neural networks good at
+6655,6655,Is spaCy better than NLTK
+6656,6656,What is spaCy package
+6657,6657,Is spaCy deep learning
+6658,6658,What is estimator and estimate
+6659,6659,What is estimator in regression
+6660,6660,Is an estimator a statistic
+6661,6661,How do you calculate sample size for a Randomised control trial
+6662,6662,When would you use a randomized controlled trial
+6663,6663,What is reagent error
+6664,6664,What is method error
+6665,6665,What is logistic regression algorithm in machine learning
+6666,6666,What is logistic regression ML
+6667,6667,What is weak learning
+6668,6668,What is a weak learner in ensemble learning
+6669,6669,Which situation is an example of bivariate data
+6670,6670,What is normalization and explain its types
+6671,6671,What do you mean by normalization explain
+6672,6672,What is normalization explain the need for normalization
+6673,6673,What is called normalization
+6674,6674,Can decision trees be used for binary classification tasks
+6675,6675,Is gradient descent a loss function
+6676,6676,What is a Optimizer
+6677,6677,How do you find similar matrices
+6678,6678,Is Matrix A similar to Matrix B
+6679,6679,Do similar matrices have the same null space
+6680,6680,What is imbalanced data in machine learning
+6681,6681,What are the advantages of multi layer Perceptron
+6682,6682,What is an attention mechanism
+6683,6683,How does attention work deep learning
+6684,6684,What is difference between decision tree and random forest
+6685,6685,How does a neural network work
+6686,6686,What is neural network programming
+6687,6687,What is meant by training a neural network
+6688,6688,What is the difference between factor analysis and cluster analysis
+6689,6689,How do you find lambda in a Poisson distribution in Excel
+6690,6690,What is the variance of a Poisson distribution with mean λ
+6691,6691,What is lambda in probability
+6692,6692,How do you differentiate between supervised and unsupervised learning
+6693,6693,What is the difference between supervised and semi supervised learning
+6694,6694,What is word2vec size
+6695,6695,How do you do the insulin correction factor
+6696,6696,What is the difference between correction and correction factor
+6697,6697,How do you apply the finite population correction factor
+6698,6698,For what purpose is correction factor used in frequency distribution
+6699,6699,What is the difference between L1 and L2 norm
+6700,6700,What is loss in model training
+6701,6701,What is Word2Vec explain with example
+6702,6702,Is Word2Vec a language model
+6703,6703,What does interrater reliability measure
+6704,6704,What is inter rater reliability used for
+6705,6705,What is the difference between interrater reliability and interrater agreement
+6706,6706,What is Term term Matrix
+6707,6707,Why is document term matrix useful
+6708,6708,Is multiple linear regression better than simple linear regression
+6709,6709,What is a multi linear regression
+6710,6710,When should we use multiple linear regression
+6711,6711,Is Q learning on policy or off policy
+6712,6712,How many variables does a chi square goodness of fit test have
+6713,6713,How many variables can you test with the test of independence
+6714,6714,How do you interpret chi square goodness of fit results
+6715,6715,How do you do multi stage cluster sampling
+6716,6716,What are clusters in statistics
+6717,6717,Can logistic regression be used for multiclass classification problems
+6718,6718,For what type of problems logistic regression is used
+6719,6719,How is mean average precision calculated
+6720,6720,What does mean average precision mean
+6721,6721,How do you calculate mAP for object detection
+6722,6722,What is discrete and continuous random variable
+6723,6723,What is meant by discrete variable
+6724,6724,What cross validation technique would you use on a time series data set
+6725,6725,Which method uses time series data
+6726,6726,What is training dataset
+6727,6727,What is training set and test set in a machine learning model how much data will you allocate for your training validation and test sets
+6728,6728,Why is it important to keep testing and training sets separate
+6729,6729,Why do we log variables
+6730,6730,Why do we use natural log in regression
+6731,6731,What does taking a logarithm do
+6732,6732,How do you identify data clusters
+6733,6733,What are clusters in a data set
+6734,6734,What is difference between SD and SE
+6735,6735,What is standard error difference
+6736,6736,What is the difference between sampling error and standard error
+6737,6737,What are the two types of data
+6738,6738,What are the two types of quantitative variables
+6739,6739,Can E Learning replace classroom learning
+6740,6740,Will E Learning replace face to face learning
+6741,6741,What are the different types of decision trees
+6742,6742,What is meant by probability in a decision tree
+6743,6743,When can you use divergence theorem
+6744,6744,Which law is applicable for divergence theorem
+6745,6745,How do you verify the divergence theorem
+6746,6746,Why do we use divergence
+6747,6747,Which is a negatively skewed distribution
+6748,6748,What is an example of skewed distribution
+6749,6749,What is an agent in AI Sanfoundry
+6750,6750,Which Below are types of agents in artificial intelligence
+6751,6751,What are the uses of TensorFlow
+6752,6752,When should I use TensorFlow
+6753,6753,How does Sobel operator work
+6754,6754,What is the advantage of using Sobel operator
+6755,6755,Which of the following is are Sobel operator
+6756,6756,How do you describe the sampling distribution of the mean
+6757,6757,How do you find the sample mean of X Bar
+6758,6758,In what ways are parameters similar to and different from ordinary variables
+6759,6759,What is the difference between a variable and an unknown
+6760,6760,What does the kappa statistic take into account
+6761,6761,What is Kappa in logistic regression
+6762,6762,What is the difference between function and objectives
+6763,6763,What are the three types of random sampling
+6764,6764,What are some examples of random sampling
+6765,6765,How many types of propositions are there
+6766,6766,What is Proposition and types
+6767,6767,What are the two main parts of a conditional proposition
+6768,6768,How is Bayes theorem used in machine learning
+6769,6769,How does Bayesian belief network help in uncertainty measurement
+6770,6770,What is logistic regression commonly used for
+6771,6771,How do you calculate response rate
+6772,6772,What is considered a good response rate
+6773,6773,How do you calculate non response rate
+6774,6774,When would you use a convolutional neural network
+6775,6775,What is ICA quality
+6776,6776,What is ICA in machine learning
+6777,6777,Which split is most significant in creating a decision tree
+6778,6778,What is splitting attribute
+6779,6779,What does IID mean
+6780,6780,What is the type of SVM learning
+6781,6781,Can SVM be used for unsupervised learning
+6782,6782,What is instance based learning in machine learning
+6783,6783,Is Knn instance based learning
+6784,6784,What are the units in Lstm
+6785,6785,What is a training set in machine learning
+6786,6786,What do singular values represent
+6787,6787,What does it mean to demean a variable
+6788,6788,What does it mean to demean data
+6789,6789,What is a fixed effect in regression
+6790,6790,Are fixed effects dummy variables
+6791,6791,How does CNN differ from Ann
+6792,6792,Which neural network is best
+6793,6793,How do you find the mean of a given probability distribution
+6794,6794,How do you find the mean of a probability distribution on a TI 84
+6795,6795,What is the mean of the distribution
+6796,6796,Is a correlation of 0.6 stronger than a correlation of
+6797,6797,Is a correlation coefficient of 0.7 strong
+6798,6798,What is image processing in machine learning
+6799,6799,Is image processing part of artificial intelligence
+6800,6800,Is image processing part of deep learning
+6801,6801,What are the parts of machine learning
+6802,6802,What is gradient explosion
+6803,6803,How do you clip gradients in Tensorflow
+6804,6804,How do you find the critical value of t test
+6805,6805,What is the T critical value two tailed and what does it tell you
+6806,6806,What is the use of eigenvalues and eigenvectors
+6807,6807,What is Eigen value and eigen vector why is it used
+6808,6808,What is the role of eigenvectors and eigenvalues in PCA
+6809,6809,What is the relationship between the Bernoulli and binomial distributions
+6810,6810,How does the Bernoulli random variable relate to the binomial and negative binomial distributions
+6811,6811,Is binomial distribution is closely related to the Bernoulli distribution justify your answer
+6812,6812,What is Bernoulli distribution in statistics
+6813,6813,How do you tell if a standard deviation is high or low
+6814,6814,What is considered a high standard deviation
+6815,6815,How do you know if a random variable is independent
+6816,6816,Is logistic regression same as classification
+6817,6817,What is the best sorting algorithm to choose
+6818,6818,What are the factors to be considered in deciding a sorting algorithm
+6819,6819,Which sorting algorithm is used when
+6820,6820,What causes a small p value
+6821,6821,What does P value stand for in statistics
+6822,6822,What exactly is a neural network
+6823,6823,What are the types of neural networks
+6824,6824,Who introduced deep learning
+6825,6825,When was machine learning first used
+6826,6826,Where is Deep learning used
+6827,6827,Why is quota sampling used
+6828,6828,What is the difference between convenience sampling and quota sampling
+6829,6829,Why do we use cluster analysis
+6830,6830,How do you run a cluster analysis
+6831,6831,What does posterior probability mean
+6832,6832,What is posteriori classification
+6833,6833,What is HMM in ML
+6834,6834,What is hidden Markov model in NLP
+6835,6835,How the weights are updated in Delta Rule
+6836,6836,Does the sample size affect the mean of all possible sample means
+6837,6837,What is affected by sample size
+6838,6838,How do I import Mnist dataset in keras
+6839,6839,How do I load a Mnist dataset
+6840,6840,How do I load data into keras
+6841,6841,How do you interpret standard error in regression
+6842,6842,What is a good standard error in regression
+6843,6843,What does standard error of mean tell us
+6844,6844,What does it mean to say there is error in our regression
+6845,6845,What is the purpose of using standard deviation
+6846,6846,What does gamma mean in SVM
+6847,6847,What does C mean in SVM
+6848,6848,What is gamma parameter tells in SVM Mcq
+6849,6849,Why LDA is generative model
+6850,6850,What is the importance of logarithmic functions
+6851,6851,How do you use logarithms
+6852,6852,What do you mean by stochastic
+6853,6853,What is a probability function
+6854,6854,What is AI and how does it work
+6855,6855,How is AI used in technology
+6856,6856,Which measure of variation is most reliable
+6857,6857,Why do we prefer standard deviation over variance
+6858,6858,Is a higher coefficient of variation better
+6859,6859,Why do we convert categorical data to numeric
+6860,6860,How do you determine random data
+6861,6861,How do you know if a sample is random
+6862,6862,What makes something random
+6863,6863,How does attention work
+6864,6864,How do you find P value from Z test statistic
+6865,6865,How do you find the P value with test statistics and degrees of freedom on a TI 84
+6866,6866,What is the difference between test statistic and p value
+6867,6867,What is meant by high dimensional data
+6868,6868,Is zero an element of a set
+6869,6869,What is the element of 0
+6870,6870,Is Regression a supervised learning
+6871,6871,Is Regression a supervised learning explain why
+6872,6872,Is Regression a machine learning
+6873,6873,What is the difference between supervised learning and regression
+6874,6874,What is meant by bivariate data
+6875,6875,How do you do a bivariate analysis
+6876,6876,What is the difference between using both tails versus one tail of the sampling distribution in terms of the region of rejection and the critical value
+6877,6877,What is meant by a marginal distribution
+6878,6878,What is the major advantage of using random or probability sampling
+6879,6879,What is the best sampling technique and why
+6880,6880,Why do we use the t distribution instead of the normal distribution
+6881,6881,What is t distribution used for
+6882,6882,What is batch in machine learning
+6883,6883,What is mini batch size in deep learning
+6884,6884,Where is predictive analytics used
+6885,6885,What can we learn from predictive modeling
+6886,6886,What is interaction effect in Anova
+6887,6887,What is the interaction effect
+6888,6888,What is the main effect in two way Anova
+6889,6889,What comes under bivariate analysis
+6890,6890,Is Chi square a bivariate analysis
+6891,6891,Which plot can be used to detect outliers in machine learning
+6892,6892,Can a box plot be used to detect outliers
+6893,6893,Is Z score the same as standardized score
+6894,6894,How do you find the standardized sample mean
+6895,6895,What are the advantages of stratified sampling
+6896,6896,What are the different clustering techniques
+6897,6897,What is clustering What are the different clustering techniques
+6898,6898,What are clustering models
+6899,6899,What exactly is machine learning
+6900,6900,What is AI and machine learning examples
+6901,6901,Where is machine learning applied
+6902,6902,What is machine learning and its type
+6903,6903,What is the meaning of probability sampling
+6904,6904,What is meant by non probability sampling
+6905,6905,What is the difference between non linear and linear trends
+6906,6906,What do non linear mean
+6907,6907,What is linear and non linear
+6908,6908,What thing can lead to problems in data processing
+6909,6909,What are the disadvantages of data processing
+6910,6910,What are the common types of problems with data
+6911,6911,What is data processing error
+6912,6912,What is the difference between a population and a sample quizlet
+6913,6913,What does it mean to validate data
+6914,6914,What is the output of neural network
+6915,6915,How many outputs can a neural network have
+6916,6916,When the population has a normal distribution the sampling distribution of is normally distributed for any sample
+6917,6917,Is the sampling distribution of the mean always normally distributed
+6918,6918,Is a sampling distribution normal only if the population is normal
+6919,6919,What is a bias in machine learning
+6920,6920,What is the discriminator
+6921,6921,What is Gan inversion
+6922,6922,How do you code a gan
+6923,6923,What is the formula for calculating covariance
+6924,6924,How do you calculate covariance and correlation
+6925,6925,Should residuals be normally distributed
+6926,6926,How do you tell if residuals are normally distributed
+6927,6927,Why do we check normality of residuals
+6928,6928,What is the mean of Bernoulli distribution
+6929,6929,What is Bernoulli's theorem in probability
+6930,6930,What is the difference between Bernoulli and binomial distributions
+6931,6931,How is Bernoulli probability calculated
+6932,6932,What is gradient descent in ML
+6933,6933,How does gradient descent work in neural network
+6934,6934,What does it mean for something to be more variable
+6935,6935,What is another word for variables
+6936,6936,What are the strengths and weaknesses of Randomised controlled trials
+6937,6937,What is a randomized cross over trial
+6938,6938,What is a sampling distribution quizlet
+6939,6939,How do you find the sampling distribution of the sample mean
+6940,6940,How do you spectral analysis in Excel
+6941,6941,What are the two types of sampling errors
+6942,6942,What is meant by sampling error
+6943,6943,What is the Type I error
+6944,6944,What is better than Lstm
+6945,6945,What does random random do
+6946,6946,How do you find the standardized score in statistics
+6947,6947,Is the standard score the Z score
+6948,6948,How do you find a missing z score
+6949,6949,Can an estimator be unbiased and consistent
+6950,6950,What is Communalities in factor analysis
+6951,6951,How much correlation is Multicollinearity
+6952,6952,How do you calculate VIF in multiple regression
+6953,6953,How is ROC curve drawn
+6954,6954,How do you derive the ROC curve
+6955,6955,What is the difference between LGD and EAD
+6956,6956,What is workout LGD
+6957,6957,How do you prove consistency of an estimator
+6958,6958,What does the distribution of sample means consist of
+6959,6959,What are the properties of the sampling distribution of the sample mean
+6960,6960,What is multivariate normality test
+6961,6961,What are the assumptions for multiple regression
+6962,6962,What is a linear operator in linear algebra
+6963,6963,What is a matrix operator
+6964,6964,What is the difference between Poisson distribution and binomial distribution
+6965,6965,How do you interpret descriptive statistics
+6966,6966,How do you find the test statistic for a hypothesis test
+6967,6967,How do you find the test statistic for two samples
+6968,6968,Is T score the same as test statistic
+6969,6969,What are the two types of hypothesis used in a hypothesis test
+6970,6970,What are the different types of hypothesis testing
+6971,6971,What is null hypothesis vs alternative hypothesis
+6972,6972,What is the OLS regression line
+6973,6973,Why is Kalman filter optimal
+6974,6974,How do you correlate a categorical and continuous variable
+6975,6975,What does communality in factor analysis mean
+6976,6976,What is communality in statistics
+6977,6977,How do you write an algorithm in data structure
+6978,6978,How do you calculate variance and standard deviation
+6979,6979,Why do we calculate variance
+6980,6980,How do you calculate variance in Excel
+6981,6981,What is population standard deviation
+6982,6982,How do you find sample standard deviation from population standard deviation
+6983,6983,What is the difference between sample and population variance
+6984,6984,What is MLE and map
+6985,6985,What is the difference between maximum likelihood and Bayesian
+6986,6986,How much does sleep affect IQ
+6987,6987,Does sleep increase intelligence
+6988,6988,What is parity in statistics
+6989,6989,What is demographic parity
+6990,6990,What does scaling mean in statistics
+6991,6991,What is scaling and its types
+6992,6992,What is scaling Why is scaling performed
+6993,6993,Why do we need signal processing
+6994,6994,What is application of signal processing
+6995,6995,Is signal processing in demand
+6996,6996,What is PCA in deep learning
+6997,6997,What are data trends
+6998,6998,How do you find the trend in a graph
+6999,6999,What is batch gradient descent in machine learning
+7000,7000,When would you create a stratified random sample
+7001,7001,Why is it important to use random sampling
+7002,7002,What is equi depth binning
+7003,7003,How do you represent knowledge in AI
+7004,7004,How many types of knowledge are there in AI
+7005,7005,Why is knowledge representation required in AI machines
+7006,7006,How is knowledge represented in NLP
+7007,7007,What is classification and regression in machine learning
+7008,7008,Can SVM be used for classification
+7009,7009,What is the linear operator
+7010,7010,What is linear operator in functional analysis
+7011,7011,How many hidden units should I use
+7012,7012,What is the effect of increasing the depth of an MLP
+7013,7013,What is the correlation between two independent variables
+7014,7014,What is the relationship between two variables
+7015,7015,What type of relationship is appropriate to find between two independent variables
+7016,7016,What is the best neural network model for temporal data
+7017,7017,What is difference between the actual output and generated output known as
+7018,7018,How do I import data into redshift
+7019,7019,What is the difference between DynamoDB and redshift
+7020,7020,What does it mean to be an outlier
+7021,7021,What is the opposite of an outlier
+7022,7022,How do you use the word outlier in a sentence
+7023,7023,How are beta endorphins released
+7024,7024,What activities release endorphins
+7025,7025,Where is beta endorphin produced
+7026,7026,How many degrees of freedom are there in regression
+7027,7027,How do you report degrees of freedom in a regression
+7028,7028,How do you calibrate an e step
+7029,7029,Where is flow rate in Cura
+7030,7030,What is Lstm and GRU
+7031,7031,Is predictive analytics part of machine learning
+7032,7032,Is prediction supervised learning
+7033,7033,What is multinomial naive Bayes algorithm
+7034,7034,What is the main operational difference between multinomial and Binarized multinomial naïve Bayes algorithm
+7035,7035,Why is naive Bayes so bad
+7036,7036,How likely is a false positive pregnancy test
+7037,7037,How do you find the z value for a confidence interval
+7038,7038,What are the four types of descriptive statistics
+7039,7039,What do you write in descriptive statistics
+7040,7040,Does the sample size have an effect on the standard deviation of all possible sample means explain your answer
+7041,7041,What is the effect of increasing the sample size on the standard deviation of the sampling distribution
+7042,7042,What is the standard deviation of the distribution of all possible sample means
+7043,7043,What does boot stand for
+7044,7044,Which of the following distance matrix can be used in Knn
+7045,7045,Which of the following distance measure do we use in case of categorical variables in K nn
+7046,7046,Which algorithm is used for image processing
+7047,7047,Does standardization reduce Multicollinearity
+7048,7048,How does centering reduce Multicollinearity
+7049,7049,What is K in K means algorithm
+7050,7050,What is K means how can you select K for K means
+7051,7051,What is meant by K in K Medoids and K means algorithm
+7052,7052,What is the deviance of a model
+7053,7053,What is deviance in logistic regression
+7054,7054,How do you identify deviance
+7055,7055,Is AI same as data science
+7056,7056,What does the second derivative test tell you
+7057,7057,What do we use the second derivative for
+7058,7058,What is the difference between first and second derivative test
+7059,7059,How do AI neural networks work
+7060,7060,How does the artificial neural networks model the brain
+7061,7061,What does cluster analysis mean
+7062,7062,What do eigenvectors tell us
+7063,7063,What does a high eigenvalue mean
+7064,7064,What are the two regression equations
+7065,7065,How many class intervals are there
+7066,7066,Whats does interval mean
+7067,7067,What is univariate analysis and multivariate analysis
+7068,7068,What does multivariate logistic regression mean
+7069,7069,How do you explain logarithms
+7070,7070,What is a logarithm in one word
+7071,7071,Is K means generative or discriminative
+7072,7072,What is the difference between a generative and discriminative algorithm
+7073,7073,What are the strengths and weaknesses of hierarchical clustering
+7074,7074,What is Z in a normal distribution
+7075,7075,How do you find the Z distribution
+7076,7076,What are the 3 characteristics of the Z distribution
+7077,7077,What is the difference between T and Z distribution
+7078,7078,What are the parameters of logistic regression W and B
+7079,7079,How do you calculate parameters in logistic regression
+7080,7080,What are the parameters of a regression model
+7081,7081,What are the parameters of a linear regression model
+7082,7082,How do you find the discriminant of a function
+7083,7083,What measures of central tendency and dispersion would be appropriate
+7084,7084,How do you know which measure of central tendency is most appropriate
+7085,7085,How do I run a TensorFlow model
+7086,7086,How do you deploy a TensorFlow model in production
+7087,7087,How do you serve a machine learning model
+7088,7088,What is the use of probability distribution in data science
+7089,7089,What is the importance of probability distribution in statistics
+7090,7090,What is probability used for
+7091,7091,How do you read a conditional random field
+7092,7092,What are the conditions assumptions necessary to run a Z test
+7093,7093,What conditions must be met for the Z test to be used to test a hypothesis concerning a population mean μ Select all that apply
+7094,7094,What are the conditions for a two proportion z test
+7095,7095,What are the requirements for testing a claim about a population proportion
+7096,7096,Is statistics needed for machine learning
+7097,7097,How statistics is used in machine learning
+7098,7098,What is machine learning and how statistics is used in machine learning
+7099,7099,What do the coefficients mean in a regression analysis
+7100,7100,What does the coefficient indicate
+7101,7101,How do you interpret the coefficient of multiple determination
+7102,7102,How do you interpret r2 values
+7103,7103,How do you find the variance of the sample mean
+7104,7104,How do you calculate average variance
+7105,7105,What is sample mean and sample variance
+7106,7106,What is variance of mean
+7107,7107,What is unimodal and bimodal
+7108,7108,What is bimodal in statistics
+7109,7109,What are classification models
+7110,7110,Is classification a predictive model
+7111,7111,What does stochastic mean in statistics
+7112,7112,Why do we need stochastic process
+7113,7113,What is divergence theorem used for
+7114,7114,How do you prove the divergence theorem
+7115,7115,Who invented the divergence theorem
+7116,7116,What is Generator loss
+7117,7117,How do you choose a classification model
+7118,7118,What is the relationship between covariance and correlation coefficient
+7119,7119,What does covariance mean
+7120,7120,What is step size in gradient descent
+7121,7121,What is the order of the steps for using a gradient descent algorithm
+7122,7122,How do you find the Gradient Gradient descent
+7123,7123,How does linear regression predict
+7124,7124,What is computer vision in artificial intelligence
+7125,7125,How do you know if a sample is unbiased or biased
+7126,7126,What makes a sample biased
+7127,7127,What is statistics in research
+7128,7128,What are the commonly used statistical tools in research
+7129,7129,What is the difference between fixed effects and random effects
+7130,7130,What would be the consequences for the OLS estimator if heteroscedasticity is present in a regression model but ignored
+7131,7131,What are the consequences of Heteroskedasticity for Least Square estimators
+7132,7132,What if data is Heteroscedastic
+7133,7133,What is confidence level in machine learning
+7134,7134,What does confidence interval mean
+7135,7135,What is a confidence interval and why is it useful
+7136,7136,Which type of technique is used in information extraction
+7137,7137,What are NLP tools
+7138,7138,How do you calculate robustness
+7139,7139,How can you improve accuracy
+7140,7140,How is back propagation used to attempt to improve a neural network's accuracy
+7141,7141,What is it called when you use a regression line to predict y values for x values outside of the observed range of the data
+7142,7142,Is the regression line to predict y from x the same as the regression line to predict X from Y
+7143,7143,What changes the correlation coefficient
+7144,7144,How would the correlations change if we normalized the data first
+7145,7145,What is a neural synapse
+7146,7146,What is synapse and its function
+7147,7147,Which distribution can be positively skewed distribution with
+7148,7148,What does positively skewed mean
+7149,7149,How do you know when to reject or fail to reject the null hypothesis
+7150,7150,How do you reject or accept the null hypothesis
+7151,7151,How do you interpret a decision that fails to reject the null hypothesis
+7152,7152,What does Z value mean
+7153,7153,How do you find the Z value in statistics
+7154,7154,What is difference between classification and regression
+7155,7155,Is logistic regression used for classification or regression
+7156,7156,What is classification in logistic regression
+7157,7157,Is logistic regression only for classification
+7158,7158,What is an outlier explain the types of outliers
+7159,7159,How do you classify outliers
+7160,7160,What are outliers in data science
+7161,7161,Why do we need gradient
+7162,7162,Why is XGBoost better than gradient boosting
+7163,7163,Does XGBoost use gradient descent
+7164,7164,How do you calculate Covariation
+7165,7165,How do you calculate COV XY
+7166,7166,How do you calculate variance and covariance
+7167,7167,Which one is better supervised or unsupervised learning
+7168,7168,Can unsupervised learning Overfit
+7169,7169,Which algorithm can be used for unsupervised learning
+7170,7170,How do you find the probability of a frequency distribution
+7171,7171,What does frequency mean in probability
+7172,7172,What is the difference between a frequency distribution and a probability distribution
+7173,7173,What is CNN and RNN
+7174,7174,What are the steps in exploratory data analysis
+7175,7175,How does SVM classify
+7176,7176,How do you increase accuracy in naive Bayes
+7177,7177,How do I train naive Bayes classifier
+7178,7178,How do you improve Gaussian naive Bayes
+7179,7179,When was AI developed
+7180,7180,Who Found AI
+7181,7181,What is the difference between PMF and CDF
+7182,7182,What is the difference between PMF PDF and CDF
+7183,7183,Is artificial intelligence really possible
+7184,7184,What is intelligence philosophy
+7185,7185,How do you measure the power of a hypothesis test
+7186,7186,What do you mean by the power of a hypothesis test how can it be measured describe and illustrate by an example
+7187,7187,What is forward and backward indexing
+7188,7188,What method uses time series data
+7189,7189,How does time series data work
+7190,7190,How do you write a statistical hypothesis
+7191,7191,What is meant by statistical hypothesis
+7192,7192,What should I do after deep learning specialization
+7193,7193,What are the limits of deep learning
+7194,7194,What is discrete variable
+7195,7195,What is a discrete variable quizlet
+7196,7196,How do you calculate the mean of a discrete random variable quizlet
+7197,7197,What are the classification of learning explain
+7198,7198,What causes bias in sampling
+7199,7199,How do you find Chebyshev's inequality
+7200,7200,What is Chebyshev's theorem and how is it used
+7201,7201,What is a learning rate in neural network
+7202,7202,Which one of these classification algorithms is easiest to start with for prediction
+7203,7203,How do you create AI algorithm
+7204,7204,What is the best algorithm for image classification
+7205,7205,How do you know you're a deep thinker
+7206,7206,How is threshold value calculated
+7207,7207,How do you clip gradients in TensorFlow
+7208,7208,What is the gradient norm
+7209,7209,What does the Z score tell you
+7210,7210,What is the z value in statistics
+7211,7211,How many types of distribution are there in statistics
+7212,7212,What is the probability distribution formula
+7213,7213,What is Bayes rule in machine learning
+7214,7214,What correlation means
+7215,7215,What is correlation and its types in statistics
+7216,7216,What is correlation and regression
+7217,7217,How can you tell if two things are independent
+7218,7218,What does it mean if 2 variables are independent
+7219,7219,Which of the pairs of random variables are independent
+7220,7220,What is SVD in ML
+7221,7221,How do you calculate singular value decomposition
+7222,7222,What is decomposition in machine learning
+7223,7223,What affects the size of the standard deviation
+7224,7224,What effect does increasing the sample size have on the population standard deviation
+7225,7225,How does sample size affect standard error
+7226,7226,What is confidence interval in simple words
+7227,7227,How do you interpret confidence intervals
+7228,7228,What does a confidence interval tell you
+7229,7229,How do you predict using a decision tree
+7230,7230,What do decision trees tell you
+7231,7231,How does a decision tree learn
+7232,7232,How do you calculate decision boundary in logistic regression
+7233,7233,Is the decision boundary for logistic regression linear
+7234,7234,What is the bias in machine learning
+7235,7235,What does logistic model predict
+7236,7236,What does a logistic regression model do
+7237,7237,What logistics means
+7238,7238,What is the difference between Z and T statistics
+7239,7239,How do I stop Overfitting in Knn
+7240,7240,Why do we need to normalize data
+7241,7241,What is normalizing of data
+7242,7242,When should we use normalization and standardization
+7243,7243,What is a moving average filter
+7244,7244,What is the difference between a mean and average filter
+7245,7245,Why median filter is better than mean filter
+7246,7246,Is averaging a low pass filter
+7247,7247,How is FDR's correction calculated
+7248,7248,What is FDR value
+7249,7249,What is FDR analysis
+7250,7250,How do we evaluate classification models
+7251,7251,How do you analyze a classification report
+7252,7252,What is the difference between linear regression and logistic regression
+7253,7253,What is the difference between multiple regression and logistic regression
+7254,7254,How do you use a confusion matrix
+7255,7255,What is lazy learning in machine learning
+7256,7256,What can I do after learning machine learning
+7257,7257,How do you find the correlation coefficient of two sets of data
+7258,7258,How do you find the coefficient of a data set
+7259,7259,How do you find the correlation between two sets of data in Excel
+7260,7260,What is pure autocorrelation
+7261,7261,What is the difference between serial correlation and autocorrelation
+7262,7262,What are the characteristics of neural networks
+7263,7263,What is regression techniques
+7264,7264,Why convolutional neural network is better for image classification
+7265,7265,How does XGBoost different from gradient boosting
+7266,7266,How is weight adjustment is done in backpropagation network
+7267,7267,How do you update weights on backpropagation
+7268,7268,How neural network adjust weights
+7269,7269,When can you approximate binomial with normal
+7270,7270,How do you approximate Poisson distribution
+7271,7271,What does E mean in regression
+7272,7272,How do you interpret the p value
+7273,7273,How do you know if a distribution is Poisson
+7274,7274,How do you parallelize a neural network
+7275,7275,Is dummy a variable
+7276,7276,What is the meaning of dummy
+7277,7277,Do I need to normalize data before correlation
+7278,7278,What does Gaussian distribution mean
+7279,7279,Is Gaussian the same as normal
+7280,7280,What is sampling bias and how do researchers avoid it
+7281,7281,What is convolutional feature map
+7282,7282,Why is CNN used
+7283,7283,What does AIC and BIC mean
+7284,7284,How do I choose between AIC and BIC
+7285,7285,Where do we use normal distribution in real life
+7286,7286,What normal distribution tells us
+7287,7287,What is the difference between time series and cross sectional data
+7288,7288,What is the difference between cross sectional analysis and time series analysis
+7289,7289,What are recurrent neural networks used for
+7290,7290,What is a high mutual information score
+7291,7291,What is mutual information in information theory
+7292,7292,What is the range of mutual information
+7293,7293,When should a response variable be transformed using a log transformation
+7294,7294,Why do we use log transformation
+7295,7295,Why is IQ illegal
+7296,7296,Why was IQ created
+7297,7297,Does linear regression require normal distribution
+7298,7298,What are assumptions of linear regression
+7299,7299,How do you check for normality assumption in regression
+7300,7300,Is arithmetic mean and average same
+7301,7301,What is the difference between mean and average
+7302,7302,What is the difference between mean and average in Excel
+7303,7303,What is Poisson distribution and its properties
+7304,7304,What is data feature engineering
+7305,7305,What does a statistical error of .05 mean
+7306,7306,What alpha level should I use
+7307,7307,Can a matrix be a function
+7308,7308,Is trace a linear operator
+7309,7309,How do you prepare data for ML
+7310,7310,How do you prepare data for a model
+7311,7311,How do you find the test statistic in statistics
+7312,7312,How do we determine the test statistic and p value
+7313,7313,What is convergence in gradient descent
+7314,7314,Is mean squared error the same as variance
+7315,7315,What is a good MSE score
+7316,7316,What does the mean squared error tell you
+7317,7317,What are different heuristic search techniques
+7318,7318,What is the difference between uninformed and informed search strategies
+7319,7319,What is Adaptive Resonance Theory network
+7320,7320,What is competitive learning in neural networks
+7321,7321,What is the difference between ART1 and ART2
+7322,7322,Is observational study quantitative or qualitative
+7323,7323,Is NLP considered AI
+7324,7324,What is Qda in machine learning
+7325,7325,Can LDA be used for regression
+7326,7326,How is fractal dimension calculated
+7327,7327,What is fractal dimension and how it is calculated
+7328,7328,What is the fractal formula
+7329,7329,Where do you find fractals
+7330,7330,How do you evaluate a logistic regression model
+7331,7331,What is the accuracy of the logistic regression model
+7332,7332,What measure do we use to evaluate the goodness of fit of a logistic model
+7333,7333,How do you find the critical value of Z test
+7334,7334,How do you find moments in statistics
+7335,7335,What is first and second moment
+7336,7336,What are the advantages of the K fold cross validation technique
+7337,7337,Where is K means clustering used
+7338,7338,Why do we consider K means clustering as an unsupervised machine learning algorithm
+7339,7339,Why does uniform distribution happen
+7340,7340,How do you know if a distribution is uniform
+7341,7341,How do you prove a subset is linearly independent
+7342,7342,What is a linearly independent subset
+7343,7343,How would you check whether or not any vector is linearly dependent or independent discuss with the help of examples
+7344,7344,What are regression techniques
+7345,7345,Where is stratified random sampling used
+7346,7346,When would stratified sampling be used
+7347,7347,What is stratified random sampling in research
+7348,7348,How do you calculate state space from transfer function
+7349,7349,How does Matlab calculate state space from transfer function
+7350,7350,How is knowledge represented
+7351,7351,What are the different types of knowledge representation
+7352,7352,How do you calculate marginal distribution
+7353,7353,How do you find the marginal density of X and Y
+7354,7354,How do you solve multi label classification
+7355,7355,Which cost function should be used for multiclass classification
+7356,7356,What is hamming loss
+7357,7357,How collaborative filtering recommended systems can works
+7358,7358,What are two types of unbiased samples
+7359,7359,Why is sample mean unbiased
+7360,7360,Why are residuals important in regression analysis
+7361,7361,What is residual analysis in multiple linear regression
+7362,7362,What is residual analysis in regression
+7363,7363,Can the boosting technique be applied to regression problems
+7364,7364,What is the difference between supervised and unsupervised algorithms
+7365,7365,What is the time complexity in case of K means algorithm
+7366,7366,What is the value of K in K means clustering
+7367,7367,How do you know when to use a linear model
+7368,7368,What is the difference between stepwise and hierarchical regression
+7369,7369,How do you find anomalies in data
+7370,7370,How do you find outliers in time series data
+7371,7371,What does it mean by anomalies in the data gathered
+7372,7372,How do you train a model for sentiment analysis
+7373,7373,How do you create a dataset for sentiment analysis
+7374,7374,How do you create a training data set
+7375,7375,What is the difference between Perceptron and a sigmoid neurons with regard to machine learning
+7376,7376,How do you find the accuracy of a linear regression
+7377,7377,How do you determine the quality of a regression line
+7378,7378,What is the difference between AI and expert system
+7379,7379,What is the difference between a sample and sampling distribution
+7380,7380,What is the probability distribution of the sample mean
+7381,7381,How do you determine if a distribution is a probability distribution
+7382,7382,What are the two requirements for a discrete probability distribution quizlet
+7383,7383,What are the requirements for a binomial distribution
+7384,7384,How do you find the F score
+7385,7385,Which statistical test can be used to analyze the relationship between continuous variables
+7386,7386,What are the sampling errors in research
+7387,7387,What is feature selection in ML
+7388,7388,What is similarity in data mining
+7389,7389,What are different ways of measuring data similarity and dissimilarity
+7390,7390,What are the two factors that make a distribution of data for a variable a normal distribution
+7391,7391,What is tagging in NLP
+7392,7392,What do you mean by the part of speech tagging what is the need of this task in NLP
+7393,7393,What is the total probability under the normal distribution curve
+7394,7394,How do you find the probability of a normal distribution given the mean and standard deviation
+7395,7395,What is the normal probability distribution function
+7396,7396,Do Neural networks learn by example
+7397,7397,What is a Markov transition matrix
+7398,7398,What is bias term
+7399,7399,What does the relative frequency tell us
+7400,7400,How do you find the relative frequency
+7401,7401,How is bias reduced
+7402,7402,Why do we use regularization in machine learning
+7403,7403,What's the difference between regularization and normalization in machine learning
+7404,7404,What are the applications of NLP
+7405,7405,Does NLP use machine learning
+7406,7406,What is the discriminant of 3x2 10x =- 2
+7407,7407,How do I know if my QQ plot is normally distributed
+7408,7408,How do you read the normality of a QQ plot
+7409,7409,How do you tell if a distribution is normally distributed
+7410,7410,What is stochastic gradient descent in deep learning
+7411,7411,How do you find the missing data percentage
+7412,7412,How do you handle missing data
+7413,7413,What does missing data mean in statistics
+7414,7414,What is PCA explained variance
+7415,7415,How do you train multi label classification
+7416,7416,What are the uses of mean median and mode
+7417,7417,What are the uses of median
+7418,7418,Why is logistic regression a classification method
+7419,7419,How do you calculate binary log
+7420,7420,What is the point of batch normalization
+7421,7421,How does Confirmation bias affect research
+7422,7422,How can we prevent observer bias in research
+7423,7423,What is confirmation bias research
+7424,7424,How do you measure test effectiveness and efficiency
+7425,7425,How is test case coverage calculated
+7426,7426,What does a non response mean
+7427,7427,What does non response mean in statistics
+7428,7428,What is difference between interpolation and extrapolation
+7429,7429,Why is extrapolation not reliable
+7430,7430,What are the dangers of extrapolation
+7431,7431,How do you interpret an F statistic
+7432,7432,Why is F statistic positive
+7433,7433,How do you find probability with combinations
+7434,7434,What are permutations in probability
+7435,7435,How do you find the frequency of a marginal distribution
+7436,7436,What is marginal frequency
+7437,7437,What is an activation function in a neural network
+7438,7438,What are the uses of geometric mean
+7439,7439,What is the difference between geometric mean and harmonic mean
+7440,7440,What is a Markov jump process
+7441,7441,What is the use of dense layer in CNN
+7442,7442,What do you mean by CNN
+7443,7443,What is probability in artificial intelligence
+7444,7444,How is probability used in AI
+7445,7445,Which of the following is disadvantages of decision tree
+7446,7446,How do you sample a bootstrap
+7447,7447,What is bootstrapping in data mining
+7448,7448,How do you read bootstrapping results
+7449,7449,What is a hazard rate function
+7450,7450,How do you read a hazard function plot
+7451,7451,What is the difference between population and sample standard deviation
+7452,7452,Should I use sample or population variance
+7453,7453,What are the two types of randomized trials
+7454,7454,How do you do a covariance analysis
+7455,7455,How many functions are in the discriminant
+7456,7456,Why is SGD stochastic
+7457,7457,How are vectors used in real life Brainly
+7458,7458,What is law of averages give an example
+7459,7459,How is keras related to TensorFlow
+7460,7460,When was keras added to TensorFlow
+7461,7461,What is difference between K means and Knn
+7462,7462,What is the difference between KNN and SVM
+7463,7463,Why choose K means clustering
+7464,7464,Where ensemble techniques might be useful
+7465,7465,Which strategies are used for improving the classification accuracy of class imbalanced data
+7466,7466,How do you find variance with mean and standard deviation
+7467,7467,How do you find the mean and variance
+7468,7468,What is the difference between standard deviation and mean deviation
+7469,7469,Why do we use hierarchical clustering
+7470,7470,How is NLP different from machine learning
+7471,7471,Is NLP a subset of machine learning
+7472,7472,Is factor analysis multivariate
+7473,7473,What does data coverage mean
+7474,7474,What is a coverage interval
+7475,7475,What is maximum likelihood estimation used for
+7476,7476,How do you know which distribution to use
+7477,7477,What is the gamma distribution used for
+7478,7478,Is LDA deep learning
+7479,7479,Why is the convolutional layer important in convolutional neural networks
+7480,7480,What is a chi square goodness of fit test used for
+7481,7481,What is the difference between chi square goodness of fit and chi square test of independence
+7482,7482,Which learning model is useful in feed forward network
+7483,7483,How does classification algorithm work
+7484,7484,What do you mean by acceptance sampling
+7485,7485,What are the two types of acceptance sampling
+7486,7486,What is sample inspection
+7487,7487,Why is randomization used in experiments
+7488,7488,How do you explain randomization
+7489,7489,What is randomization principle
+7490,7490,What is a Bayesian distribution
+7491,7491,What are the two major techniques that are applied for hierarchical task analysis
+7492,7492,How do you do task analysis
+7493,7493,Why hierarchical task analysis is important
+7494,7494,What statistical analysis should I use to compare 2 groups
+7495,7495,What statistical inference tool should be used to determine if the difference between the two groups is statistically significant
+7496,7496,What does a relative frequency distribution show
+7497,7497,How do you interpret a relative frequency table
+7498,7498,What does relative frequency refer to
+7499,7499,Can I learn deep learning without machine learning
+7500,7500,How do you determine the best regression model
+7501,7501,How do you calculate probability example
+7502,7502,How do you find the probability of an event
+7503,7503,What is the formula for the probability of a simple event
+7504,7504,Which are loss functions
+7505,7505,What is ML loss function
+7506,7506,How do you extract weights in TensorFlow
+7507,7507,How do you visualize a TensorFlow model
+7508,7508,How do you view a TensorBoard
+7509,7509,How do you show a Markov chain is regular
+7510,7510,What is steady state in Markov chain
+7511,7511,Does facial recognition use machine learning
+7512,7512,What type of learning is face recognition
+7513,7513,What is the purpose of pooling layer
+7514,7514,What is generalized artificial intelligence
+7515,7515,What language tool is used for deep learning
+7516,7516,Which tool is best suited for solving deep learning problems
+7517,7517,Which application you should solve by deep learning
+7518,7518,How do you find the mean of a lognormal distribution in Excel
+7519,7519,What is probability explain the normal curve
+7520,7520,What is inference neural network
+7521,7521,What is inference in a Bayesian network
+7522,7522,What does Wald statistic mean
+7523,7523,What does the chi square statistic tell you
+7524,7524,How do you find the Wald statistic
+7525,7525,How do you calculate F distribution
+7526,7526,What is the F distribution in statistics
+7527,7527,How do you calculate F in regression
+7528,7528,How do you find the f value on a TI 84
+7529,7529,What are the two requirements for a discrete probability distribution
+7530,7530,What is a required condition for a discrete probability function
+7531,7531,What is single layer feed forward network
+7532,7532,What is a single layer neural network
+7533,7533,What is multi layer feed forward neural network
+7534,7534,What is mixed model research
+7535,7535,When should reinforcement learning be used
+7536,7536,What line is the point of averages on
+7537,7537,What is the point of a regression line
+7538,7538,How do you find a regression line given points
+7539,7539,Can we Ensemble multiple models of same ML algorithm
+7540,7540,What is PLS SEM analysis
+7541,7541,What is true error and sampling error
+7542,7542,How do you determine sampling error
+7543,7543,How does an Arima model work
+7544,7544,How does predictive analytics assist with decision making
+7545,7545,What are the outcomes of predictive analytics
+7546,7546,What are the benefits of predictive analytics
+7547,7547,What type stage of analytics that recommends decisions
+7548,7548,How do you use clustering for classification
+7549,7549,How do you classify a cluster
+7550,7550,Is clustering same as classification
+7551,7551,What is the major difference between cluster analysis and classification
+7552,7552,How do you find the quartiles of data
+7553,7553,What is the initial definition of quartile
+7554,7554,What does Q1 Q2 Q3 mean in statistics
+7555,7555,How do you find the quartiles in a normal distribution
+7556,7556,How do you find Q1 and Q3 in a normal distribution
+7557,7557,What is the Iqr of a standard normal distribution
+7558,7558,Why do you center variables in regression
+7559,7559,How can you reduce Multicollinearity
+7560,7560,What is an interobserver
+7561,7561,What does inter observer reliability mean
+7562,7562,What is intra observer error
+7563,7563,What is the critical value of F
+7564,7564,What are the constraints of a problem
+7565,7565,What is squared error loss
+7566,7566,What is squared error cost function
+7567,7567,How do you calculate posterior probability
+7568,7568,Why is sequencing of learning so important
+7569,7569,What is sequence modeling how it's helpful in NLP
+7570,7570,What is a scalar in statistics
+7571,7571,How do you know if two vectors are scalar multiples
+7572,7572,Is scalar multiplied by a vector or scalar
+7573,7573,What is log in regression
+7574,7574,What are log log plots used for
+7575,7575,How do you interpret logarithmic regression coefficients
+7576,7576,Is random forest better than SVM
+7577,7577,Which one is the not measure of dispersion
+7578,7578,Is interquartile range a measure of dispersion
+7579,7579,What are the advantages of truncated Bptt over Bptt
+7580,7580,How do you calculate fitted value
+7581,7581,What's the difference between GLM and GLM
+7582,7582,What is GLM used for
+7583,7583,How do you identify selection bias
+7584,7584,How are canonical correlations and Canonical variates related to multiple correlation
+7585,7585,When should I use correlation analysis
+7586,7586,When would you use regression rather than correlation
+7587,7587,Is multiple regression correlation
+7588,7588,What are the rules of probability
+7589,7589,What is the difference between implicit biases and stereotypes
+7590,7590,What does implicit bias training do
+7591,7591,What is the minimum sample size for at test
+7592,7592,What are the advantages of deep learning
+7593,7593,How do you calculate squared loss
+7594,7594,What is MSE in statistics
+7595,7595,What is multiple comparisons in statistics
+7596,7596,How does a K nearest neighbors classifier work
+7597,7597,How can you avoid a tie up situation in KNN for a binary classification
+7598,7598,How does K affect Knn
+7599,7599,What is the purpose of a conjoint analysis
+7600,7600,What do you mean by conjoint analysis
+7601,7601,How do you write a conjoint analysis
+7602,7602,Is Markov chain machine learning
+7603,7603,How do you control for a variable in regression
+7604,7604,How do controlled variables work
+7605,7605,What is variable interaction
+7606,7606,What does interaction mean
+7607,7607,What are the challenges in deep learning
+7608,7608,What is Softmax in CNN
+7609,7609,What is the process of visual perception
+7610,7610,What are two fundamental approaches to explaining perception
+7611,7611,What is Delta in quadratic equation
+7612,7612,What is the formula to find Delta
+7613,7613,How do you find order statistics
+7614,7614,Which of the following is order statistics
+7615,7615,What is a negative matrix
+7616,7616,How can you improve the accuracy of a logistic regression model
+7617,7617,What is accuracy in logistic regression
+7618,7618,How can you improve the accuracy of a regression model
+7619,7619,How do you know if data is Homoscedastic
+7620,7620,What is moment generating formula
+7621,7621,What is sampling frame and sampling unit
+7622,7622,Why is ReLU better and more often used than sigmoid in neural networks
+7623,7623,How many nodes are in the input layer
+7624,7624,Is Chi square a t test
+7625,7625,What is chi square test in simple terms
+7626,7626,What is the variance in a standard normal distribution
+7627,7627,What is normal variance
+7628,7628,What is the variance of the distribution of means
+7629,7629,How do you find the variance of a distribution
+7630,7630,Is Standard Deviation an estimate
+7631,7631,What does the sample standard deviation tell us
+7632,7632,What are Factorials used for
+7633,7633,What is the purpose of Hyperparameters in a machine learning training model
+7634,7634,What is quantile estimation
+7635,7635,Is normal distribution discrete or continuous
+7636,7636,What are ml metrics
+7637,7637,Why is systematic random sampling unbiased
+7638,7638,Can systematic sampling lead to a biased sample
+7639,7639,What are the disadvantages of systematic sampling
+7640,7640,What is systematic bias in sampling
+7641,7641,What is variance and how do you calculate it
+7642,7642,What are tools and techniques for strategic analysis
+7643,7643,What are the tools and techniques applicable for planning give examples
+7644,7644,Which of the following method is used to fill the missing values in categorical variables
+7645,7645,How do you treat categorical variables in regression
+7646,7646,What does the moving average tell you
+7647,7647,How do you calculate a moving average trend
+7648,7648,What is the effect of multicollinearity
+7649,7649,How does Multicollinearity affect standard error
+7650,7650,How do you interpret VIF Multicollinearity
+7651,7651,What does the variance inflationary factor VIF measure
+7652,7652,What is stratified sampling procedure
+7653,7653,What is stratified sampling used to estimate
+7654,7654,What does reliability mean in statistics
+7655,7655,How is reliability of sample measured
+7656,7656,How do you measure reliability in statistics
+7657,7657,What is a topic in LDA
+7658,7658,What is beta LDA
+7659,7659,What is the role of feature vector
+7660,7660,What data features
+7661,7661,What are the tools used for data mining
+7662,7662,What is data mining tools and techniques
+7663,7663,What type of supervised ML algorithm is used for feature ranking
+7664,7664,What is K mode clustering
+7665,7665,How do you find the covariance matrix of data
+7666,7666,What is covariance of a matrix
+7667,7667,How is covariance formula derived
+7668,7668,How does NumPy calculate covariance matrix
+7669,7669,What is an example of disjoint
+7670,7670,What is the difference between joint and disjoint sets
+7671,7671,What does mutually disjoint mean
+7672,7672,What are the steps in the sentiment analysis process
+7673,7673,Which model is used for sentiment analysis
+7674,7674,How do you calculate sentiment analysis
+7675,7675,What is confusion matrix in Sklearn
+7676,7676,What is mass intelligence
+7677,7677,What does multimodal learning mean
+7678,7678,Why are learning modalities important
+7679,7679,What is non probability sampling and its types
+7680,7680,What is difference between probability and non probability sampling
+7681,7681,What are the types of sampling
+7682,7682,Where is systematic sampling used
+7683,7683,What is systematic sampling and when is most appropriately used
+7684,7684,Which Tensorflow function can you use to configure a categorical column if you don't know all of the possible values for that column
+7685,7685,What algorithm does Tensorflow use
+7686,7686,What does the normal approximation to the binomial distribution mean
+7687,7687,What is the normal approximation
+7688,7688,How do you approximate a binomial with a normal distribution
+7689,7689,What is the mean of the standard normal distribution
+7690,7690,How do you find the mean of a normal distribution graph
+7691,7691,How do you calculate LTV CAC ratio
+7692,7692,What is a good CAC ratio
+7693,7693,What is the difference between a scientific hypothesis and statistical hypothesis
+7694,7694,What is a good ROC curve
+7695,7695,What does the Anova test tell you
+7696,7696,What is the relationship between Anova and regression
+7697,7697,What does the F statistic tell you in regression
+7698,7698,What is variance in regression analysis
+7699,7699,Is decision tree regression linear
+7700,7700,What is the application of convolution
+7701,7701,Why do we use linear convolution
+7702,7702,Where is binary search used in real life
+7703,7703,What are binary searches used for
+7704,7704,How do you use binary search
+7705,7705,What is an example of a binary search
+7706,7706,What is the time complexity of KMP algorithm Mcq
+7707,7707,What is the time complexity for Rabin Karp algorithm
+7708,7708,Why is KMP linear
+7709,7709,What is the formula for calculating bias
+7710,7710,What is variance of a model
+7711,7711,Is LDA Parametric
+7712,7712,Is Latent Dirichlet Allocation clustering
+7713,7713,What is the use of univariate analysis
+7714,7714,How do you do a univariate regression analysis in SPSS
+7715,7715,How biased are our algorithms
+7716,7716,How can machine learning detect bias
+7717,7717,What is an acceptance sampling what factors should be considered in designing it
+7718,7718,What is lot by lot inspection
+7719,7719,Does every random variable have a distribution
+7720,7720,Is distribution a probability
+7721,7721,What is meant by probability distribution
+7722,7722,What defines a distribution
+7723,7723,What is the difference between distribution and density
+7724,7724,When should you use Z test
+7725,7725,What is the difference between Z distribution and t distribution
+7726,7726,How can machine learning prevent Overfitting
+7727,7727,What is Underfitting and Overfitting in machine learning and how do you deal with it
+7728,7728,How do you study statistics and probability
+7729,7729,What is the easiest way to learn probability
+7730,7730,What is machine learning clustering
+7731,7731,What are the applications of clustering
+7732,7732,How does GloVe word Embeddings work
+7733,7733,What is empirical error in machine learning
+7734,7734,What is meant by sparse matrix
+7735,7735,What is matrix documentation
+7736,7736,What is moment generating function in statistics
+7737,7737,What's a good Kappa score
+7738,7738,What is the physical meaning of entropy
+7739,7739,Is entropy a physical property
+7740,7740,Is activation function a Hyperparameter
+7741,7741,Can Hadoop Do real time processing
+7742,7742,What is basic probability
+7743,7743,What do you mean by probability theory
+7744,7744,What is the basic law of probability
+7745,7745,What are layers in neural networks
+7746,7746,What are layers in machine learning
+7747,7747,How many types of layers are there in a neural network
+7748,7748,What is Perceptron learning rule
+7749,7749,How does a Perceptron change its weights
+7750,7750,How do you calculate bias in Perceptron
+7751,7751,What is the significance of error signal in Perceptron network
+7752,7752,Why do we need a table or computer to calculate a probability for a normal random variable
+7753,7753,Is normal distribution is a discrete distribution
+7754,7754,How does AI relate to natural language processing
+7755,7755,What is natural language processing and how does it work
+7756,7756,What is a confirmation bias and how can it affect our rationality
+7757,7757,Why is bias not good
+7758,7758,What is chi square distribution with examples
+7759,7759,What is the name of the parameter that determines the shape of the chi square distribution
+7760,7760,How are the parameters updates during gradient descent process simultaneously
+7761,7761,What are the dangers associated with drawing inferences from the stepwise model
+7762,7762,Which sampling method is most accurate
+7763,7763,When should you use stratified sampling
+7764,7764,What are the strengths and weaknesses of stratified sampling
+7765,7765,How do you interpret bivariate correlation
+7766,7766,How do you analyze bivariate data
+7767,7767,How do you analyze correlation data
+7768,7768,What do you mean by Contrapositive and converse
+7769,7769,What is an inverse statement
+7770,7770,What data is normally distributed
+7771,7771,What is parametric distribution
+7772,7772,Is Bayesian statistics better
+7773,7773,Why is temporal difference TD learning of Q values Q learning superior to TD learning of values
+7774,7774,What is TD error
+7775,7775,What does multivariable mean
+7776,7776,What is multivariate statistical methods
+7777,7777,Is deep learning good for regression
+7778,7778,What is the best activation function for regression
+7779,7779,What is the opposite of aversion
+7780,7780,What is the difference between risk averse and risk neutral
+7781,7781,What's the opposite of risk
+7782,7782,What is the purpose using principal component analysis on big data with many features
+7783,7783,What is AI and how does it differ from human intelligence
+7784,7784,What does mean squared error mean
+7785,7785,What is λ in probability
+7786,7786,How many types of neural networks are there
+7787,7787,Is neural networks and deep learning same
+7788,7788,What is neural networks and deep learning
+7789,7789,What is the difference between neural network and machine learning
+7790,7790,How do you use the law of averages
+7791,7791,What is logistic regression in simple terms
+7792,7792,How does a logistic regression work
+7793,7793,How do you calculate learning rate
+7794,7794,What are the advantages of the linearity assumption in linear regression
+7795,7795,What are the important assumptions of linear regression
+7796,7796,What does linearity mean in linear regression
+7797,7797,What is Adaline in neural networks Mcq
+7798,7798,How do you use the Taguchi method
+7799,7799,What is Taguchi method with an example
+7800,7800,What are the two basic stages of Taguchi design
+7801,7801,What are the names of different gates in Lstm and GRU
+7802,7802,Why is variance important
+7803,7803,What is the use of variance
+7804,7804,What does variance tell you about a population
+7805,7805,Why is it important to know how much variation is in a data set
+7806,7806,How do you calculate SSR in regression
+7807,7807,What does SSR measure
+7808,7808,How do you do logistic regression in SPSS
+7809,7809,What is autocorrelation in regression
+7810,7810,What does finite population mean in statistics
+7811,7811,What is finite population sampling
+7812,7812,Why is autocorrelation used
+7813,7813,What does split half reliability tell us
+7814,7814,What is the significance of reliability in data analysis
+7815,7815,What are binary categories
+7816,7816,What are the different types of classification
+7817,7817,How do you handle noisy data
+7818,7818,What is meant by noisy data
+7819,7819,What causes noisy data
+7820,7820,How can data mining remove noisy data
+7821,7821,What is maximum likelihood in machine learning
+7822,7822,Which metrics are used for classification problems
+7823,7823,What is data augmentation in NLP
+7824,7824,What is dataset augmentation explain
+7825,7825,What is the meaning of least squares in a regression model
+7826,7826,What is least square linear regression
+7827,7827,What does the term least squares mean
+7828,7828,What is time series analysis with example
+7829,7829,What is time series data analysis
+7830,7830,What is disproportionate sampling
+7831,7831,What is proportionate stratified random sampling technique
+7832,7832,How do you find proportionate sampling
+7833,7833,Is population variance the same as sample variance
+7834,7834,Why will random samples from a given population not have the same mean sample means will vary because the data values selected for samples are not randomly chosen sample means will vary because for each sample the same data values are selected
+7835,7835,Why is the standard deviation of the distribution of means generally smaller than
+7836,7836,How do you find the confidence interval in statistics
+7837,7837,What is the complexity of the Minimax algorithm
+7838,7838,How is Shannon Entropy calculated
+7839,7839,What is entropy function
+7840,7840,How does Shannon define information
+7841,7841,How many layers deep learning algorithms are constructed
+7842,7842,How deep is a deep neural network
+7843,7843,What is the average Gini index
+7844,7844,What is a good Gini coefficient
+7845,7845,What is the importance of a regression line
+7846,7846,What is the best regression line
+7847,7847,Does bagging increase variance
+7848,7848,Which operation is used in bagging to reduce the variance
+7849,7849,What is conditional probability PDF
+7850,7850,What is conditional probability and independence
+7851,7851,What is R and R 2 statistics
+7852,7852,What is few shot object detection
+7853,7853,What is the difference between biased and unbiased samples
+7854,7854,What makes something an unbiased estimator
+7855,7855,What is decision tree explain
+7856,7856,How does decision tree work
+7857,7857,What is true positive rate in data mining
+7858,7858,What is a relative frequency table in math
+7859,7859,When would you use a relative frequency table
+7860,7860,What is meant by frequency table
+7861,7861,What is a matrix or vector norm
+7862,7862,What is the nonparametric equivalent of linear regression
+7863,7863,How do you use beta distribution
+7864,7864,What is exclusion restriction
+7865,7865,What is the difference between 2SLS and IV
+7866,7866,What are the advantages of multitasking
+7867,7867,What are the pros and cons of multitasking
+7868,7868,What is a good example of multitasking
+7869,7869,Why Multitasking is required
+7870,7870,What would happen to the p value if you observe the same sample mean and sample standard deviation for a larger sample size say greater than 50
+7871,7871,What factors affect the p value
+7872,7872,What is the relationship between P values confidence intervals and sample size
+7873,7873,What is the use of time series analysis
+7874,7874,What are the major uses of time series
+7875,7875,Why do we use time series forecasting
+7876,7876,What is the difference between rule based and learning based approach
+7877,7877,How can you improve data accuracy
+7878,7878,What increases the accuracy of the decision tree model
+7879,7879,How many hash functions are there
+7880,7880,What are the limits of hashing
+7881,7881,Which algorithm is a hashing encryption algorithm
+7882,7882,What is the strongest hashing algorithm
+7883,7883,What type of bias in the text might a double blind experimental setup reduce
+7884,7884,How do you minimize experimenter bias
+7885,7885,How does bias affect an experiment
+7886,7886,What does bias mean example
+7887,7887,How do you find the coefficient of rank correlation
+7888,7888,Is a correlation coefficient on ranked data
+7889,7889,How do you calculate Spearman's rank correlation coefficient in Excel
+7890,7890,What are the 2 categories of machine learning
+7891,7891,What is the difference between equality of opportunity and equality of results
+7892,7892,What does equality of opportunity mean quizlet
+7893,7893,What is artificial intelligence and expert systems
+7894,7894,Is standard error equal to variance
+7895,7895,Is variance and standard deviation the same
+7896,7896,How do you calculate standard error from variance
+7897,7897,What is the formula for the experiment wise error rate
+7898,7898,How do you find comparison wise error rate
+7899,7899,What is a nonparametric hypothesis
+7900,7900,What is an example of a nonparametric test
+7901,7901,How do you determine if a test is parametric or nonparametric
+7902,7902,What is API in neural network
+7903,7903,What is evolutionary neural network
+7904,7904,Can we use CNN for text classification
+7905,7905,Which neural network learning algorithm is used for classification
+7906,7906,How do you calculate Type 2 error
+7907,7907,What is Type 2 error in hypothesis
+7908,7908,What is the relationship between artificial intelligence AI machine learning ml and deep learning DL
+7909,7909,Why AI and machine learning is important
+7910,7910,Is Machine Learning a subset of AI
+7911,7911,Which terms does not apply to cluster analysis
+7912,7912,What are the applications of cluster analysis
+7913,7913,What is decomposition analysis
+7914,7914,What decomposition means
+7915,7915,What is the purpose of decomposition in time series
+7916,7916,How do you forecast decomposition
+7917,7917,What are the two types of simple random sample selection methods
+7918,7918,What are the two types of sampling methods
+7919,7919,What are the four types of random sampling techniques
+7920,7920,What is an example of a stochastic event
+7921,7921,What is the difference between statistics and stochastic
+7922,7922,What is stochastic system
+7923,7923,How can you tell if a Markov chain is irreducible
+7924,7924,What is a reducible Markov chain
+7925,7925,How do you find the interval on a frequency table
+7926,7926,What is average pooling
+7927,7927,What is an example of a nonlinear relationship
+7928,7928,What does nonlinear association mean
+7929,7929,What does nonlinear mean
+7930,7930,What is the meaning of non linear text
+7931,7931,What is mean by frequency in statistics
+7932,7932,What is the difference between partitioning and sharding
+7933,7933,How do you find the median of a quartile
+7934,7934,What is median and interquartile range
+7935,7935,What is the fundamental postulate of statistical mechanics
+7936,7936,What are statistical mechanics
+7937,7937,Why do we use statistical mechanics
+7938,7938,What are the prerequisites to learn TensorFlow
+7939,7939,What is AutoML platform
+7940,7940,How do you center variables in SPSS
+7941,7941,How do you center variables
+7942,7942,How do you center a group in SPSS
+7943,7943,Is credible interval the same as confidence interval
+7944,7944,What is the difference between confidence interval and confidence level
+7945,7945,What is the difference between MSE and variance
+7946,7946,What is standard error used for
+7947,7947,What does the standard error of the estimate measure
+7948,7948,Is standard error a measure of variance
+7949,7949,What are hidden nodes *
+7950,7950,What are hidden units in neural network
+7951,7951,What is calculated in the nodes of the hidden layer of a neural network
+7952,7952,What is the significance of optimal separating hyperplane in SVM
+7953,7953,What is maximum margin hyperplane in SVM
+7954,7954,What is the relationship between mathematics and statistics
+7955,7955,What is mathematics and statistics
+7956,7956,What is meant by weights in neural network
+7957,7957,What does it mean to train a neural network
+7958,7958,How do you prove two matrices are similar
+7959,7959,Do similar matrices have the same trace
+7960,7960,What is Optimizer in deep learning
+7961,7961,What affects effect size
+7962,7962,Is Pearson's r an effect size
+7963,7963,Which of the following statements is true about linear regression regarding outliers
+7964,7964,What is an example of false cause
+7965,7965,What makes false cause a fallacy
+7966,7966,What is an example of a false dilemma fallacy
+7967,7967,What is the distribution of the test statistic
+7968,7968,What is the sampling distribution under the null hypothesis
+7969,7969,Which distribution is used for testing hypothesis
+7970,7970,How do you find the mode of a continuous random variable
+7971,7971,How do you find the mode of continuous data
+7972,7972,What is the mode of a variable
+7973,7973,Is all data normally distributed
+7974,7974,What does it mean for data to be normally distributed
+7975,7975,What does LSI do
+7976,7976,Do you reject or fail to reject H0 at the 0.05 level of significance
+7977,7977,What is the region of rejection in statistics
+7978,7978,How do you calculate KS test
+7979,7979,Why do we use probability sampling
+7980,7980,Should you always choose probability sampling Why or why not
+7981,7981,How do you find the probability from a histogram
+7982,7982,How do you create a probability histogram in Excel
+7983,7983,How do you make a probability histogram
+7984,7984,How do you create a probability distribution in Excel
+7985,7985,Does Mcculloch Pitts model have ability of learning
+7986,7986,What are the general limitations of backpropagation rule
+7987,7987,Can we learn deep learning without machine learning
+7988,7988,What does it mean by relative frequency
+7989,7989,What is the difference between the relative frequency and the percent frequency
+7990,7990,How do you do a relative frequency table
+7991,7991,Why do we use derivative in gradient descent
+7992,7992,In which case the gradient descent algorithm works best
+7993,7993,What is the algorithm efficiency for selection sort
+7994,7994,What are the steps algorithm used in sorting a queue
+7995,7995,How do you measure cluster accuracy
+7996,7996,How do you test clustering
+7997,7997,Which clustering method is more reliable
+7998,7998,What is the criteria of good clustering
+7999,7999,In which cases will k means clustering fail to give good results
+8000,8000,Which of the following may be a method of selecting the optimal number of clusters for K means
+8001,8001,How do you manage categorical data
+8002,8002,How do you deal with many categorical variables
+8003,8003,What are imputation methods
+8004,8004,What does it mean when a residual plot has no pattern
+8005,8005,What is fit in linear regression
+8006,8006,What is best fit line in linear regression
+8007,8007,Why do we use non parametric tests
+8008,8008,What are the most common reasons you would select a non parametric test over its parametric alternative
+8009,8009,What is area under the receiver operator curve
+8010,8010,Who invented Federated learning
+8011,8011,What is autocorrelation econometrics
+8012,8012,What is autocorrelation and cross correlation
+8013,8013,What is central moments in statistics
+8014,8014,What is sentiment analysis of Twitter data
+8015,8015,What are the most popular application areas for sentiment analysis Why
+8016,8016,Where is Knn used
+8017,8017,When the K nearest Neighbours algorithm is used for prediction the values are calculated by
+8018,8018,Is cluster sampling biased
+8019,8019,What percentage of the variation in Y can be explained by the corresponding variation in X
+8020,8020,How do you calculate explained variation
+8021,8021,How do you calculate the variance percentage
+8022,8022,What is the output of a regression in machine learning
+8023,8023,How do you interpret regression output
+8024,8024,What is the outcome of linear regression
+8025,8025,Is dependent and independent variable always present in a study Why or why not
+8026,8026,Which type of variable is used in a descriptive study
+8027,8027,Are there dependent and independent variables in qualitative research
+8028,8028,What is interpolation process
+8029,8029,How do you find interpolation and extrapolation
+8030,8030,Which method is used for interpolation
+8031,8031,How do you determine accuracy and precision
+8032,8032,Are random variables independent
+8033,8033,Is the sum of independent random variables independent
+8034,8034,How do you determine if two variables are independent
+8035,8035,How do you reduce variance
+8036,8036,What variance means
+8037,8037,What are the necessary conditions assumptions for constructing a confidence interval for a mean
+8038,8038,How do you create a confidence interval for a population mean
+8039,8039,What does classification accuracy mean
+8040,8040,How is accuracy calculated in image processing
+8041,8041,What is meant by null hypothesis
+8042,8042,What is a null hypothesis definition and examples
+8043,8043,How do you introduce a null hypothesis
+8044,8044,What is a null hypothesis and why is it important
+8045,8045,What are the two methods used for the calibration in supervised learning
+8046,8046,How knowledge is represented computationally
+8047,8047,How is knowledge represented stored and accessed
+8048,8048,What is the form of knowledge representation
+8049,8049,What does the Wilcoxon statistic represent
+8050,8050,How is p value related to type 1 error
+8051,8051,How are Type 1 and Type 2 errors related
+8052,8052,How does statistical power relate to Type 2 errors
+8053,8053,What are the different machine learning problems
+8054,8054,What is multi agent planning in artificial intelligence
+8055,8055,How many types of agents are there in AI
+8056,8056,What is agent based system
+8057,8057,How does gradient boost work
+8058,8058,Is gradient boosting deep learning
+8059,8059,What is the meaning of Quantisation
+8060,8060,How do you define quantized
+8061,8061,What is the binomial theorem used for
+8062,8062,Is conditional probability the same as dependent
+8063,8063,What is sensitivity in neural network
+8064,8064,Why neural networks are useful for fields of AI
+8065,8065,What is artificial neural network analysis
+8066,8066,How do you sample a uniform distribution
+8067,8067,What does output target mean
+8068,8068,What is target class data mining
+8069,8069,How is Lambda measured
+8070,8070,What is lambda ratio
+8071,8071,What should Lambda readings be
+8072,8072,What does a normal curve tell us
+8073,8073,How do you compare two box plots
+8074,8074,How do you describe the spread of a box plot
+8075,8075,How do you tell if a Boxplot is skewed left or right
+8076,8076,What does it mean if a Boxplot is skewed left
+8077,8077,Why is the efficient frontier curved
+8078,8078,What is efficient frontier curve
+8079,8079,How do you find the area to the right of Z
+8080,8080,How can you use technology to find the area to the left of Z
+8081,8081,How do you use technology to find the Z score
+8082,8082,What is the main purpose of descriptive statistics
+8083,8083,What is meant by descriptive statistics class 11
+8084,8084,Is Random Forest good for regression
+8085,8085,What is AI and types of AI
+8086,8086,What are two types of AI explain
+8087,8087,What can unsupervised learning be used for
+8088,8088,How do you train an unsupervised neural network
+8089,8089,What is the formula to find outliers
+8090,8090,How do you identify outliers in datasets
+8091,8091,What are outliers in ML
+8092,8092,Does chi squared assume normal distribution
+8093,8093,What is a randomized placebo controlled study
+8094,8094,What is the purpose of a double blind study
+8095,8095,How can statistical analysis be improved
+8096,8096,What is statistical Modelling techniques
+8097,8097,How is hysteresis thresholding used in the Canny edge detector
+8098,8098,When would you use paired data
+8099,8099,Is my data paired or independent
+8100,8100,What is the difference between paired and unpaired data
+8101,8101,What are paired means
+8102,8102,How is image processing related to machine learning
+8103,8103,How does image processing work
+8104,8104,Which software is used for image processing
+8105,8105,What are the types of learning strategies
+8106,8106,How do you initialize K means
+8107,8107,What is the difference between TensorFlow and python
+8108,8108,What is Scikit learn used for
+8109,8109,What is the relationship between type 1 error and the power of a test
+8110,8110,How do you determine Type 1 and Type 2 error
+8111,8111,What is path analysis SEM
+8112,8112,How do you use path analysis
+8113,8113,How do you find the critical value of a normal distribution
+8114,8114,How do you find the critical value
+8115,8115,How do you find ZC
+8116,8116,What is a filter in image processing
+8117,8117,What are the differences between mean and median filter
+8118,8118,Is Mean filter linear
+8119,8119,How does CNN reduce validation loss
+8120,8120,What does a paired t test compare
+8121,8121,How do you compare paired samples
+8122,8122,How do you interpret a paired t test
+8123,8123,How do you find the mean of paired differences
+8124,8124,What is the batch size in neural network
+8125,8125,What is effusion and diffusion
+8126,8126,Who introduced Graham's law of diffusion
+8127,8127,What is the formula of rate of diffusion
+8128,8128,What is the difference between geometric and exponential sequences
+8129,8129,What are heuristics and biases
+8130,8130,How are weights updated in CNN
+8131,8131,What are different machine learning algorithms
+8132,8132,What is a singularity image
+8133,8133,What type of random variable does a Gaussian distribution model
+8134,8134,What is a random error
+8135,8135,How does cross validation improve accuracy
+8136,8136,How do you find the density of a function
+8137,8137,What is population and sampling frame
+8138,8138,What does frame mean in statistics
+8139,8139,What is the difference between target population and sampling frame
+8140,8140,Should I learn deep learning or machine learning
+8141,8141,How do you choose a significance level in statistics
+8142,8142,What makes a sample statistically significant
+8143,8143,What is a problem with the linear model of communication
+8144,8144,What are the disadvantages of the linear model
+8145,8145,What are the strengths and weaknesses of linear model
+8146,8146,What are the advantages of linear model of communication
+8147,8147,How do you write the median and interquartile range
+8148,8148,Why is Iqr better than range
+8149,8149,What is IQR and range
+8150,8150,Can neural networks learn any function
+8151,8151,Do deep neural networks learn shallow learnable examples first
+8152,8152,Is deep learning part of AI
+8153,8153,How does AI deep learning work
+8154,8154,What is Gibbs algorithm in machine learning
+8155,8155,Is Gibbs sampler heuristic
+8156,8156,What does distributional mean
+8157,8157,When computing the similarity between words C and D the distributional similarity based metric gives a higher score than a path based similarity measure what can be inferred from this observation
+8158,8158,What does gradient color mean
+8159,8159,What does gradient mean in maths
+8160,8160,Does gradient mean slope
+8161,8161,Why do we use standard normal distribution
+8162,8162,What are measures of location
+8163,8163,How do you know which measure of central tendency is best
+8164,8164,How do multimodal learners learn
+8165,8165,What is precision and recall in confusion matrix
+8166,8166,Why feature selection is important in machine learning
+8167,8167,Why is feature selection necessary in regression Modelling
+8168,8168,Is a histogram bivariate
+8169,8169,Can you tell the mean from a box plot
+8170,8170,What is true of divisive clustering methods that makes them different from agglomerative clustering methods
+8171,8171,Which of the below statement describes the difference between agglomerative and divisive clustering techniques correctly
+8172,8172,What is visual object tracking
+8173,8173,How does tracking work in an object
+8174,8174,What is object detection in computer vision
+8175,8175,What is object tracking in image processing
+8176,8176,What are the major benefits of neural networks
+8177,8177,What is fine tuning in NLP
+8178,8178,Is Softmax logistic regression
+8179,8179,What is the intersection of two events in probability
+8180,8180,What does uniform distribution mean
+8181,8181,How do you know when to use uniform distribution
+8182,8182,What is CFA in statistics
+8183,8183,What is exploratory factor analysis used for
+8184,8184,What is class prior in naive Bayes
+8185,8185,What are methods of data analysis
+8186,8186,What are the advantages and disadvantages of non parametric test
+8187,8187,What field is AI used in
+8188,8188,Is AI used in data science
+8189,8189,What is a domain in machine learning
+8190,8190,What are the five steps of hypothesis testing in statistics
+8191,8191,What statistical method is hypothesis testing
+8192,8192,How do you determine optimal learning rate
+8193,8193,What is the difference between the signal and the noise
+8194,8194,What is an example of split half reliability
+8195,8195,What is autocorrelation used for
+8196,8196,Does Adam decrease learning rate
+8197,8197,What is the default learning rate for Adam
+8198,8198,How do you get rid of selection bias
+8199,8199,What are the things to be considered in order to avoid bias in the selection of data
+8200,8200,What do you mean by statistical decision theory
+8201,8201,How do you explain logistic regression
+8202,8202,How do you explain logistic regression in interview
+8203,8203,How many parameters does a geometric distribution have
+8204,8204,What are the parameters of a probability distribution
+8205,8205,Which test would you use to test the assumption of normal residuals
+8206,8206,How do you test data for normality
+8207,8207,How does a Perceptron work
+8208,8208,How a single perceptron can be used to represent the Boolean functions such as AND OR
+8209,8209,Why is the sample size important
+8210,8210,Why is sample size important in an experiment
+8211,8211,How does sample size affect validity of a study
+8212,8212,How does sample size affect validity
+8213,8213,What are difference between the classification and recognition in machine learning
+8214,8214,What is meant by data preprocessing in machine learning
+8215,8215,What do you understand by data processing
+8216,8216,Why do we need data processing in ML
+8217,8217,What is optimization in deep learning
+8218,8218,What does the Matrix say about reality
+8219,8219,Why do we use Anova
+8220,8220,Why is Anova used instead of t test
+8221,8221,What is the principal reason why you should use Anova instead of several t tests to evaluate mean differences when an experiment consists of three or more treatment conditions
+8222,8222,Whats the difference between PDF and CDF
+8223,8223,What is the difference between CNN and Ann
+8224,8224,What is inverted list in data structure
+8225,8225,What are the types of multivariate analysis
+8226,8226,What are ways to deal with multivariate data
+8227,8227,How do you define likelihood
+8228,8228,What does likelihood mean in probability
+8229,8229,How do you use likelihood in a sentence
+8230,8230,What is beta in regression
+8231,8231,How do you interpret Beta
+8232,8232,How can classification models be improved
+8233,8233,What does it mean to be a consistent estimator
+8234,8234,What makes a model stochastic
+8235,8235,What is the difference between a deterministic and stochastic model
+8236,8236,What is stochastic analysis
+8237,8237,Can Pearson correlation be used for categorical data
+8238,8238,Why is probability sampling widely preferred
+8239,8239,What is sampling design explain probability and Nonprobability sampling
+8240,8240,How do you select the value of k in Knn
+8241,8241,What is K value in Knn
+8242,8242,What is a good K value
+8243,8243,What happens when K 1 in Knn
+8244,8244,Is Z countable set
+8245,8245,When Should non parametric tests be used
+8246,8246,In what area of research the non parametric tests are more useful than parametric tests
+8247,8247,What is linear regression analysis used for
+8248,8248,What is the difference between sampling frame and target population
+8249,8249,Is LM exogenous variables
+8250,8250,How many independent variables can there be in regression models
+8251,8251,Can you have 2 independent variables
+8252,8252,What is artificial intelligence and how it works
+8253,8253,What are Hyperparameters in neural network
+8254,8254,What is the difference in bias and variance in Random Forest vs gradient boosting
+8255,8255,What is binomial distribution and its properties
+8256,8256,Is a Bernoulli distribution continuous
+8257,8257,Is Bernoulli discrete
+8258,8258,What is the formula for population mean
+8259,8259,What is population mean in statistics
+8260,8260,How do you calculate sample mean
+8261,8261,What is sample mean and population mean
+8262,8262,How do you calculate hazard rate
+8263,8263,What does covariance tell us
+8264,8264,What is covariance and correlation coefficients
+8265,8265,What is outcome variable
+8266,8266,Which variable is the outcome variable
+8267,8267,How do you know what the dependent variable is
+8268,8268,What is posterior sampling
+8269,8269,Which types of similarity measures are used to calculate distance between two objects
+8270,8270,Which of the following provided by the Bayesian network
+8271,8271,What does NLTK Tokenize do
+8272,8272,How do you Tokenize words in NLTK
+8273,8273,Which of the following NLTK method is used for splitting sentences in the paragraph
+8274,8274,Why sigmoid function is used in logistic regression
+8275,8275,Why is sigmoid probability
+8276,8276,Why is it better to use median instead of mean
+8277,8277,Why would you use median over average
+8278,8278,Why is the median preferred to the mean for skewed data
+8279,8279,Why use median income instead of mean
+8280,8280,How do you plot a decision boundary
+8281,8281,What is decision region
+8282,8282,What should the correlation of variable when compared with itself
+8283,8283,What does it mean when variables are correlated
+8284,8284,What does a 0.4 correlation mean
+8285,8285,How is Bayes theorem useful in machine learning
+8286,8286,Why do we need clustering
+8287,8287,What cluster analysis tells us
+8288,8288,What is the mean of at distribution
+8289,8289,Is the distribution normally distributed
+8290,8290,What counts as a normal distribution
+8291,8291,What is unbalanced dataset
+8292,8292,How Bayesian network can be used to answer any query
+8293,8293,What are covariate variables
+8294,8294,What does it mean to control for covariates
+8295,8295,What are examples of covariates
+8296,8296,What are prior and posterior probabilities
+8297,8297,What do you mean by posterior probability distribution
+8298,8298,Why is bootstrapping important statistics
+8299,8299,How do you know a false positive
+8300,8300,What is stratified block randomization
+8301,8301,What is the T value in statistics
+8302,8302,Is the test statistic the p value
+8303,8303,How do you find the value of the test statistic
+8304,8304,What are the advantages of P & PI controller
+8305,8305,What are z scores used for
+8306,8306,Are Z scores always normally distributed
+8307,8307,What is a contrastive loss
+8308,8308,What is contrastive learning
+8309,8309,What are statistical analysis methods
+8310,8310,Where is information theory used
+8311,8311,What are the elements of information theory
+8312,8312,Who described the information theory
+8313,8313,What are non invertible matrices
+8314,8314,What does non invertible mean
+8315,8315,How do you know if a matrix is invertible
+8316,8316,What does Nonsingular mean
+8317,8317,What does the standard error of the estimate RMSE measure
+8318,8318,What is the standard error of the estimate
+8319,8319,What is the meaning of standard error
+8320,8320,What is computer vision in deep learning
+8321,8321,Is computer vision part of deep learning
+8322,8322,What is the most commonly used deep learning network in computer vision
+8323,8323,What is the use of regularization What are L1 and L2 Regularizations
+8324,8324,What is meant by statistical project
+8325,8325,What is a statistic in statistics example
+8326,8326,What is a statistical design
+8327,8327,Does AI have emotional intelligence
+8328,8328,How long do CVT transmissions last
+8329,8329,How does a continuously variable transmission work
+8330,8330,What is the probability mass function of Poisson distribution
+8331,8331,How does a permutation test work
+8332,8332,How do we calculate the P value for a permutation test
+8333,8333,What is permutation method
+8334,8334,How do you oversample text data
+8335,8335,How do you balance your data
+8336,8336,What are neurons called within neural networks
+8337,8337,What is neurons in CNN
+8338,8338,What is SVM and how does it work
+8339,8339,What does a median filter do
+8340,8340,Is a median filter a kind of convolution
+8341,8341,What makes a low pass filter
+8342,8342,How do you organize yourself
+8343,8343,Which one of the functions always maps the values between 0 and 1 sigmoid
+8344,8344,What is off policy evaluation
+8345,8345,How is sample variance calculated
+8346,8346,What is the variance of the sample data
+8347,8347,How do you find the variance of a random sample
+8348,8348,What are the characteristics of a linear model of communication
+8349,8349,What are the four characteristics of linear model
+8350,8350,How coefficients are calculated in logistic regression
+8351,8351,What do coefficients mean in logistic regression
+8352,8352,How do you interpret logit coefficients
+8353,8353,What is the difference between linear and exponential
+8354,8354,What is exponential regression
+8355,8355,What is interpolation example
+8356,8356,What is the meaning of interpolation
+8357,8357,What are interpolation methods
+8358,8358,What is Maximax and Maximin
+8359,8359,What is the continuity correction to binomial
+8360,8360,Why do we use the normal approximation to the binomial distribution
+8361,8361,What is knowledge representation AI
+8362,8362,Why do we need knowledge representation in AI
+8363,8363,What are the approaches of knowledge representation
+8364,8364,What are the gates in Lstm
+8365,8365,What do you mean by random process
+8366,8366,What does SMD mean in statistics
+8367,8367,What standardized means
+8368,8368,How do you calculate standardized effects
+8369,8369,Which method is used for state space search problems
+8370,8370,Which method is used for state space search problems Mcq
+8371,8371,How state space strategy is useful in problem solving
+8372,8372,What are the discrete probability distributions
+8373,8373,What are the different types of probability distribution
+8374,8374,What are the different types of continuous distribution
+8375,8375,What are the requirements for a probability distribution
+8376,8376,What is probability distribution formula
+8377,8377,What are the performance metrics for regression
+8378,8378,Which metrics can be used for evaluating regression models
+8379,8379,How many types of regression analysis are there
+8380,8380,What is regression analysis and its types
+8381,8381,What is regression analysis used for
+8382,8382,Why do neural networks predict
+8383,8383,Is Fourier series and Fourier Transform same
+8384,8384,What is a Fourier series used for
+8385,8385,What is the difference between Fourier transform and Z transform
+8386,8386,What is the formula to calculate average
+8387,8387,What is the meaning of average
+8388,8388,Do data analysts use machine learning
+8389,8389,Is Analytics part of AI
+8390,8390,How do you calculate complete sufficient statistics
+8391,8391,How do you find minimal sufficient statistics
+8392,8392,What are the issues associated with high dimensional data
+8393,8393,What does a multiple linear regression tell you
+8394,8394,What is the multiple linear regression equation
+8395,8395,How do you find the median when there is 2
+8396,8396,How do you find the median of N
+8397,8397,What is the difference between a randomized control trial and non randomized control trial
+8398,8398,What does law of averages mean
+8399,8399,How do you analyze the relationship between variables
+8400,8400,What is used to examine the relationships between variables
+8401,8401,What technique is a measure of the relationship between two variables
+8402,8402,What is the differentiation of ex
+8403,8403,Why derivative of e x is e x
+8404,8404,What is derivative of E 2x
+8405,8405,Where do we use Chi Square t test and Anova
+8406,8406,What is output device give example
+8407,8407,What is output
+8408,8408,What is used in backward chaining algorithm in AI
+8409,8409,What is forward and backward reasoning
+8410,8410,What is a complementary event and how do you find its probability
+8411,8411,What is the purpose of random assignment in an experiment check all that apply Group of answer choices
+8412,8412,How do you show the relationship between independent and dependent variables
+8413,8413,Which variable is the one that explains the relationship between independent variable and dependent variable
+8414,8414,How do you differentiate between dependent and independent variables
+8415,8415,How do you remember independent and dependent variables
+8416,8416,How do you interpret main effects
+8417,8417,What is a main effect in two way Anova
+8418,8418,How do you describe main effects and interactions
+8419,8419,Is the independent variable measured or manipulated
+8420,8420,Can an independent variable be quantitative
+8421,8421,How do you measure independent variable in research
+8422,8422,Can variable be measured
+8423,8423,What is the disadvantage of KNN
+8424,8424,Why is Knn sensitive to outliers
+8425,8425,How do you calculate joint probability mass function
+8426,8426,How do you calculate joint probability of independent events
+8427,8427,How do you calculate joint probability in Excel
+8428,8428,What is Elman network
+8429,8429,What is the meaning of artificial neural network
+8430,8430,What are the layers in deep learning
+8431,8431,How many layers should my neural network have
+8432,8432,What is pre processing in machine learning
+8433,8433,Why RMSE is used
+8434,8434,What is the output of CNN
+8435,8435,What is the output of a convolutional neural network
+8436,8436,What is the output of convolution neural network CNN )
+8437,8437,How do you find the level of significance in a chi square test
+8438,8438,How is significance level calculated
+8439,8439,What is a significant p value for chi squared
+8440,8440,Is linear algebra part of calculus
+8441,8441,Is Linear Algebra Algebra 2
+8442,8442,What are the limitations of statistical measurement
+8443,8443,What are the limitations of statistics class 11
+8444,8444,What are the importance and limitations of statistics
+8445,8445,What are the limitations of data analysis
+8446,8446,What kind of problems does regularization solve
+8447,8447,How is AI impacting the world
+8448,8448,How AI is changing our lives
+8449,8449,What if AI takes over the world
+8450,8450,How does an a B test differ from a multivariate test
+8451,8451,What is stratified sampling sampling
+8452,8452,What type of variable is heart rate
+8453,8453,Is heart rate a categorical variable
+8454,8454,How do you tell if a variable is continuous or discrete
+8455,8455,What is the difference between a discrete and continuous variable
+8456,8456,Is the independent variable categorical or continuous
+8457,8457,Does the additional survey information from Part B have much of an effect on the sample size that is required
+8458,8458,How do you find the sample size in Statcrunch
+8459,8459,What is the number of degrees of freedom that should be used for finding the critical value TΑ 2
+8460,8460,What is the main difference between simple regression and multiple regression
+8461,8461,What is the area under the curve of a probability distribution
+8462,8462,How do you find C in a probability density function
+8463,8463,How do you find the conditional distribution
+8464,8464,What is worse false positive or false negative
+8465,8465,Can SVM be used for clustering
+8466,8466,How do you describe a regression fit
+8467,8467,What is the difference between the independent t test and the Mann Whitney U test
+8468,8468,What is a Kruskal Wallis test used for
+8469,8469,What's the difference between Wilcoxon and Mann Whitney
+8470,8470,What impact do metaphors have
+8471,8471,How does skewed data affect the mean
+8472,8472,What is the importance of measure of skewness in assessing students performance
+8473,8473,What is clustering explain K means algorithm with an example
+8474,8474,What is meant by K means clustering
+8475,8475,What are the steps in K means clustering
+8476,8476,Does regression require normal distribution
+8477,8477,Can logistic regression be used for non linear
+8478,8478,Does logistic regression need scaling
+8479,8479,Which is better supervised or unsupervised classification
+8480,8480,How do you calculate quantile in statistics
+8481,8481,Where is decision analysis used
+8482,8482,What is decision analysis method
+8483,8483,What are clusters in data
+8484,8484,How do you control experimental bias
+8485,8485,What is experimental bias and why can it be bad
+8486,8486,What is data mining with real life examples
+8487,8487,What is data mining explain
+8488,8488,What is data mining and its types
+8489,8489,Is a sample mean biased or unbiased
+8490,8490,Why is standard deviation bad
+8491,8491,What is the difference between independent and dependent events quizlet
+8492,8492,What is the difference between independent and dependent events when calculating probability
+8493,8493,How do random forests predict
+8494,8494,How does random forest regression work
+8495,8495,What is a non standard measurement tool
+8496,8496,What is standard unit length
+8497,8497,How do you work out the probability distribution
+8498,8498,How do you convert data into a probability distribution
+8499,8499,What is deep CNN
+8500,8500,Is CNN a deep neural network
+8501,8501,What is the difference between deep learning and CNN
+8502,8502,How convolutional neural networks work in depth
+8503,8503,What type of classifier is SVM
+8504,8504,What is SVM linear
+8505,8505,What Bandit means
+8506,8506,How do you use bandit in a sentence
+8507,8507,What is considered high inter rater reliability
+8508,8508,How many types of hypothesis testing are there
+8509,8509,Is covariance matrix Hermitian
+8510,8510,What is unstructured covariance matrix
+8511,8511,What is error covariance matrix
+8512,8512,What is interobserver reliability
+8513,8513,How do you calculate interrater reliability in SPSS
+8514,8514,How is Intercoder reliability calculated
+8515,8515,What does loss value mean
+8516,8516,What plots can we use for categorical variables
+8517,8517,Should I normalize categorical variables
+8518,8518,What is threshold in machine learning
+8519,8519,What is activation function in neural network
+8520,8520,Is ridge regression A Bayesian
+8521,8521,Is linear regression A probabilistic model
+8522,8522,What exactly is linear regression
+8523,8523,How is relative efficiency determined
+8524,8524,Which estimator is more efficient
+8525,8525,How do you calculate the efficiency of an estimator
+8526,8526,Is R value the same as correlation coefficient
+8527,8527,How do you calculate the correlation coefficient r
+8528,8528,Is Pearson's r the same as R Squared
+8529,8529,How do you find the most efficient estimator
+8530,8530,How do I calculate the median
+8531,8531,How do you find the median in statistics
+8532,8532,What is the median of these numbers
+8533,8533,How many types of recurrent neural networks are there in deep learning
+8534,8534,Which algorithm is used in decision tree
+8535,8535,What are fixed effects in panel data
+8536,8536,What is P in logistic regression
+8537,8537,What is r2 and p value
+8538,8538,What is the purpose of a multiple regression
+8539,8539,Why is multiple linear regression better than simple linear regression
+8540,8540,How are Embeddings trained
+8541,8541,Where is word2vec used
+8542,8542,Is word2vec supervised or unsupervised
+8543,8543,How is Knn calculated
+8544,8544,What is the mean of lognormal distribution
+8545,8545,How do you calculate lognormal distribution parameters
+8546,8546,Why the mean of the lognormal distribution is larger than median
+8547,8547,How do you deal with multicollinearity in regression
+8548,8548,Does the best regression model have significant Multicollinearity
+8549,8549,How do you find the mean for grouped and ungrouped data
+8550,8550,What is the mean of ungrouped data
+8551,8551,What is grouped and ungrouped data with example
+8552,8552,How does machine learning deal with categorical data
+8553,8553,What is a correction factor in statistics
+8554,8554,Is one hidden layer enough
+8555,8555,Why do we need hidden layers
+8556,8556,What does one hot encoding do
+8557,8557,What type of variable is a dummy variable
+8558,8558,What is the difference between mutually exclusive and independent events
+8559,8559,What is an example of mutually exclusive events
+8560,8560,What is standard error in linear regression
+8561,8561,How do I calculate the standard error
+8562,8562,What is standard error of coefficient
+8563,8563,What is the standard error of Y
+8564,8564,How hidden layer is useful in pattern recognition and control problem
+8565,8565,How does neural network determine hidden layers
+8566,8566,What does the residual plot tell you
+8567,8567,How do you read a residual plot
+8568,8568,How do you tell if a residual plot is a good fit
+8569,8569,What is feature extraction What are the advantages of feature extraction
+8570,8570,Can the K nearest Neighbours technique be used for regression problems
+8571,8571,What is binning in image processing
+8572,8572,What does binning mean
+8573,8573,What is the formula for calculating correlation
+8574,8574,How do you compare signals
+8575,8575,What is Maximin Minimax principle
+8576,8576,What is Minimax theory
+8577,8577,What is normalization in percentage
+8578,8578,What does normalized mean
+8579,8579,How do you calculate normalized value
+8580,8580,Who belongs to non creamy layer
+8581,8581,Can we use decision trees for multi class classification
+8582,8582,Can decision trees be used for all classification tasks
+8583,8583,What does a positive feedback do
+8584,8584,Which of the following function is used to test goodness of fit of a continuous distribution to data in Python
+8585,8585,What is a goodness of fit test what distribution is used to run the test
+8586,8586,How do you do a goodness of fit test
+8587,8587,What is an averaging filter
+8588,8588,What is loss in CNN
+8589,8589,How does loss function work
+8590,8590,What is the purpose of using filters in CNN
+8591,8591,What is the purpose of convolutional neural network
+8592,8592,How do you find a Type 2 error
+8593,8593,What is power Type 2 error
+8594,8594,Can F test be one tailed
+8595,8595,How do you know if it's a one tailed or two tailed test
+8596,8596,What does the F test test
+8597,8597,What is the difference between at test and an F test
+8598,8598,Is NLP part of ML
+8599,8599,What does range tell us in statistics
+8600,8600,What does the range indicate
+8601,8601,Which search algorithm imposes a fixed depth limit on nodes *
+8602,8602,How do you find the z score for confidence intervals
+8603,8603,What is the difference between inference summarizing and prediction
+8604,8604,Is volume discrete or continuous
+8605,8605,Is volume continuous data
+8606,8606,Is the volume of an orange discrete or continuous
+8607,8607,What are outlier detection methods
+8608,8608,How do you analyze outliers in data
+8609,8609,What is data structure explain
+8610,8610,What is data structure and types of data structure
+8611,8611,What is Gini index and entropy
+8612,8612,Why do we use Gini index
+8613,8613,What is the difference between linear and nonlinear correlation
+8614,8614,What is meant by linear and nonlinear correlation
+8615,8615,How is sense defined in Wordnet explain with example
+8616,8616,What is word sense disambiguation write down the application of WSD
+8617,8617,Which of the following is not an assumption of logistic regression
+8618,8618,How do you plot a learning curve
+8619,8619,How can I improve my learning curve
+8620,8620,How do you plot accuracy
+8621,8621,Why is convex optimization important in machine learning
+8622,8622,Why is optimization necessary in machine learning
+8623,8623,What does the cumulative probability distribution show
+8624,8624,Why do we divide by N 1 for standard deviation
+8625,8625,Why do we find the sample standard deviation we divide by N 1 but when we find the population standard deviation we divide by N
+8626,8626,Why do we divide by the standard error when computing a test statistic
+8627,8627,What does N stand for in standard deviation
+8628,8628,What is Constraint Satisfaction in AI
+8629,8629,How do I combine Lstm and CNN
+8630,8630,What is the difference between ConvLSTM and CNN Lstm
+8631,8631,What is matrix factorization explain with an example
+8632,8632,Why are matrices used in machine learning
+8633,8633,What is ALS in machine learning
+8634,8634,Can we classify after dimensionality reduction
+8635,8635,How do you choose machine learning algorithm
+8636,8636,How would you describe bivariate data
+8637,8637,How do you explain bivariate correlation
+8638,8638,What is reinforcement imitation
+8639,8639,Is reinforcement learning artificial intelligence
+8640,8640,Where are hidden layers in neural network
+8641,8641,What is stationary in time series data
+8642,8642,Which activation function is more likely to cause a vanishing gradient
+8643,8643,Do you need linear algebra for machine learning
+8644,8644,Where linear algebra is used in machine learning
+8645,8645,What is linear SVM classifier
+8646,8646,What is a linear SVC
+8647,8647,What is non linear SVM
+8648,8648,What is a predictor variable
+8649,8649,What is an example of a predictor variable
+8650,8650,What is an independent variable in statistics
+8651,8651,What are the two types of independent variables
+8652,8652,How do you use classification embeds in Word
+8653,8653,How do you use GloVe embeds
+8654,8654,What is recommended in determining the sample size
+8655,8655,Does the sample size matter
+8656,8656,Why is sample size important in determining probability
+8657,8657,What is iterator and iterable in python
+8658,8658,What are the Iterables in Python
+8659,8659,Why is the pooling layer used in convolution neural network
+8660,8660,How do you decrease P value
+8661,8661,What can change p value
+8662,8662,What does a high P value mean in regression
+8663,8663,What does a low P value mean in regression
+8664,8664,How do you calculate odds ratio in logistic regression
+8665,8665,How do you convert odds ratio to log odds
+8666,8666,What does odds ratio mean in logistic regression
+8667,8667,What is bias definition
+8668,8668,What are features in ML
+8669,8669,What is deep about deep learning
+8670,8670,What is the input to a classifier
+8671,8671,What is the shortcut formula for standard deviation
+8672,8672,How do you find the standard deviation quickly
+8673,8673,What are general limitations of back propagation rule
+8674,8674,What is the product rule in probability
+8675,8675,What is significance of entropy
+8676,8676,What is meant by entropy in information theory
+8677,8677,Is CNN a MLP
+8678,8678,What is MLP in machine learning
+8679,8679,What is a CNN model
+8680,8680,Why do you use N 1 in sample standard deviation
+8681,8681,What is the significance of N 1 degree of freedom
+8682,8682,Why is neural machine translated
+8683,8683,What is NMT model
+8684,8684,How do I create a receiver operating characteristic curve in SPSS
+8685,8685,How do you explain ROC curve
+8686,8686,How would a receiver operating characteristics ROC curve plot be represented
+8687,8687,How do you choose between Poisson and negative binomial
+8688,8688,Why we use Adam Optimizer
+8689,8689,Are neural networks Turing machines
+8690,8690,How do you find the error term
+8691,8691,What is the difference between errors and residuals
+8692,8692,What are the assumptions of error term
+8693,8693,How does deep neural network work
+8694,8694,How do you evaluate ML performance
+8695,8695,What is the relationship between sample mean and population mean
+8696,8696,What is the relationship between the mean of a distribution and the expected value for the distribution
+8697,8697,Could the value of the sample mean and the value of the population mean ever be the same Explain your answer
+8698,8698,What is the difference between an expected value and a mean
+8699,8699,Is standard deviation better than variance
+8700,8700,Can PCA be used for classification
+8701,8701,Why might performing dimensionality reduction using PCA be bad for a classification task
+8702,8702,What is an autoregressive time series model
+8703,8703,What is AR model in time series
+8704,8704,What is kernel trick in SVM
+8705,8705,How does a kernel Relate to feature vectors
+8706,8706,Which variant of logistic regression is recommended when you have a categorical dependent variable with more than two values
+8707,8707,When can logistic regression be used
+8708,8708,Is K means a clustering algorithm
+8709,8709,What are class limits in stats
+8710,8710,What makes a good sample
+8711,8711,What is a suitable sample size
+8712,8712,What are the assumptions of logistic regression
+8713,8713,How do you test if data is normally distributed
+8714,8714,Why check if data is normally distributed
+8715,8715,What is the test for normal distribution
+8716,8716,What does the unsharp mask do
+8717,8717,What do you mean by equal a priori probability
+8718,8718,What is cluster sampling used for
+8719,8719,What are the advantages of cluster sampling
+8720,8720,Is computer vision AI or ML
+8721,8721,How does TensorFlow Lite work
+8722,8722,How do I run TensorFlow Lite
+8723,8723,What is the difference between TensorFlow and TensorFlow Lite
+8724,8724,How do I convert TensorFlow Lite to TensorFlow
+8725,8725,What is the time series analysis
+8726,8726,What is time series and its uses
+8727,8727,What is the use of interpolation in GIS
+8728,8728,What is decision boundary in machine learning
+8729,8729,Which index measures the spatial autocorrelation in the data
+8730,8730,Can you cite some examples where a false positive is important than a false negative
+8731,8731,Why is deep learning called deep
+8732,8732,Why use deep neural networks
+8733,8733,What is Q value reinforcement
+8734,8734,What is the Q Network
+8735,8735,What can regression be used for
+8736,8736,How do you interpret a regression equation
+8737,8737,What is a gradient in machine learning
+8738,8738,What is binary logistic regression
+8739,8739,Does logistic regression have to be binary
+8740,8740,Is Stanford CoreNLP open source
+8741,8741,What is Stanford core NLP
+8742,8742,What is validity of a test
+8743,8743,Is the standard normal distribution a discrete distribution
+8744,8744,Is the distribution a discrete probability distribution
+8745,8745,What type of distribution is a normal distribution
+8746,8746,What is interpolation and how do you use it
+8747,8747,What is SVR in machine learning
+8748,8748,Which machine learning use both labeled and unlabeled data for training
+8749,8749,Does supervised learning require Labelled data
+8750,8750,Which type of machine learning is best for Labelled data
+8751,8751,How do you interpret bivariate correlation in SPSS
+8752,8752,How do you find Covariance from correlation
+8753,8753,What is the rule of covariance
+8754,8754,How do you define an event
+8755,8755,Is logistic regression robust to outliers
+8756,8756,How do outliers affect the least squares regression line
+8757,8757,Is Q learning deep learning
+8758,8758,How do you find the sample size n
+8759,8759,How do you find N in statistics
+8760,8760,How is population proportion calculated
+8761,8761,What is the meaning of trending now
+8762,8762,How do you know if something is trending
+8763,8763,What is equivalent von Mises stress
+8764,8764,What is Mises stress in Abaqus
+8765,8765,How do you estimate depth
+8766,8766,What is depth of an image
+8767,8767,What is depth information
+8768,8768,What is the formula of frequency distribution
+8769,8769,How do you find class frequency
+8770,8770,What is the difference between a correlated subquery and a non correlated subquery
+8771,8771,Are correlated subqueries bad
+8772,8772,Why use subqueries instead of joins
+8773,8773,Does NLP come under machine learning
+8774,8774,What is difference between NLP and Machine Learning
+8775,8775,How do you define a dependent variable
+8776,8776,How do you know if two variables are independent or dependent
+8777,8777,How is Alpha achiever batch of Allen
+8778,8778,What is RPN in deep learning
+8779,8779,What is RPN network
+8780,8780,What is RPN in CNN
+8781,8781,What is clone loss
+8782,8782,What are the machine learning models
+8783,8783,What does model refer to in machine learning
+8784,8784,What is the use of POS tagging
+8785,8785,Why does NLP require POS tag
+8786,8786,How does NLTK POS tagger work
+8787,8787,How do you find the maximum likelihood estimator in R
+8788,8788,How do you derive the probability function
+8789,8789,Why is bias used
+8790,8790,Why is bias input needed
+8791,8791,What is bias neuron
+8792,8792,What statistical analysis should I use to compare three groups
+8793,8793,What does having a larger sample size do
+8794,8794,Does sample size impact effect size
+8795,8795,How does SVM algorithm work
+8796,8796,What is the difference between SVM and SVC
+8797,8797,How do you choose the number of hidden layers
+8798,8798,How many hidden layers can have a neural network
+8799,8799,How do you interpret Poisson regression in SPSS
+8800,8800,How do I change my learning rate
+8801,8801,What is an informal unit of measurement
+8802,8802,Is Cubit a standard unit of measurement
+8803,8803,What are the benefits of the use of non standard units of measurement
+8804,8804,What is Hermitian matrix with example
+8805,8805,What does Hermitian matrix mean
+8806,8806,How do you find the skew of a Hermitian matrix
+8807,8807,What is skew symmetric matrix explain with an example
+8808,8808,How do you find the best features of classification
+8809,8809,What is Malcolm Gladwell's theory in outliers
+8810,8810,What is Gladwell's claim in the article
+8811,8811,What are the disadvantages of having a large sample size
+8812,8812,Does increasing sample size increase statistical power
+8813,8813,What effect does increasing sample size have on probability
+8814,8814,What is complete linkage in hierarchical clustering
+8815,8815,What is dimensional analysis good for
+8816,8816,How do you prove two events are not mutually exclusive
+8817,8817,What does it mean if two things are not mutually exclusive
+8818,8818,Can two events be mutually exclusive
+8819,8819,How do you prove two events are dependent
+8820,8820,What are examples of continuous random variables
+8821,8821,Which of the following is continuous random variable
+8822,8822,Can R Squared be negative
+8823,8823,Can coefficient of determination be negative
+8824,8824,What does negative R2 score mean
+8825,8825,What does R 2 value indicate
+8826,8826,What do residuals tell us in regression
+8827,8827,What's an event
+8828,8828,Is ResNet better than Vgg
+8829,8829,How can AI systems be biased give examples
+8830,8830,What is AI bias
+8831,8831,How do you minimize reporting bias
+8832,8832,How do you remove bias
+8833,8833,How does reinforcement affect learning
+8834,8834,What would be the independent variable in an experiment
+8835,8835,How do you describe the independent variable
+8836,8836,What is the use of beam parameter in the local beam search algorithm
+8837,8837,What is CTC decoder
+8838,8838,What is the difference between Type I and Type II error
+8839,8839,How do you remember Type 1 and Type 2 error
+8840,8840,How do you determine a sample size from a population
+8841,8841,What is moving average method in time series
+8842,8842,Is moving average a time series model
+8843,8843,What is moving average method
+8844,8844,What is Ma model in time series
+8845,8845,What is the linear programming explain in detail
+8846,8846,What is the importance of regression
+8847,8847,What are the disadvantages of regression analysis
+8848,8848,What are hidden units in Lstm
+8849,8849,How many hidden layers are there in Lstm
+8850,8850,What is data cleaning in machine learning
+8851,8851,Why Data cleaning is important in machine learning
+8852,8852,How is data cleansing done
+8853,8853,When can you use Pearson's correlation
+8854,8854,How do you know when to use a correlation coefficient
+8855,8855,When should you not use a Pearson correlation to measure the relationship between two variables in your data set
+8856,8856,What is role of Markov decision process in reinforcement learning
+8857,8857,What is MDP in reinforcement learning
+8858,8858,What is experimental bias
+8859,8859,Why is it important to note Correlation does not imply causation
+8860,8860,What is a between subjects variable
+8861,8861,What does between subjects mean in a between subjects experiment quizlet
+8862,8862,What is the difference between a within groups and a between groups design
+8863,8863,How is RBF kernel calculated
+8864,8864,What is a non randomized trial
+8865,8865,What does Randomised trial mean
+8866,8866,How do you interpret logistic regression in SPSS
+8867,8867,What does an odds ratio of 0.2 mean
+8868,8868,What is a biased example
+8869,8869,What is approximate Q learning
+8870,8870,How do you find the mean of a moment generating function
+8871,8871,What is Bayesian Modelling
+8872,8872,What is padding in AES encryption
+8873,8873,How do you find the scalar equation
+8874,8874,How do you find the vector equation of a plane
+8875,8875,Which algorithms are used in recommender systems
+8876,8876,What is meant by variation in statistical analysis
+8877,8877,How do you describe variation in statistics
+8878,8878,How can you describe the variation of a data set
+8879,8879,What is the standard deviation of the sampling distribution of the sample proportion
+8880,8880,How do you find the standard deviation of the sampling distribution of X Bar
+8881,8881,What are the mean and standard deviation of the sampling distribution of X Bar
+8882,8882,What is the standard error of the difference
+8883,8883,What does the standard error of the mean tell you
+8884,8884,How do you find the difference in means
+8885,8885,Why is decision tree used
+8886,8886,Why is the XOR problem exceptionally interesting to neural network
+8887,8887,What is a box plot made of
+8888,8888,How do you answer box plots
+8889,8889,What is box plot explain importance of Boxplot with example
+8890,8890,What is the gradient descent update rule
+8891,8891,Which learning update the connecting weight in a neural set
+8892,8892,Why do we use Fourier series and Fourier transform
+8893,8893,What does offline mean
+8894,8894,What does ingroup and outgroup mean
+8895,8895,How are decision trees pruned
+8896,8896,How do you choose the maximum depth of a decision tree
+8897,8897,Is the sampling distribution normally distributed
+8898,8898,What is a normal sampling distribution
+8899,8899,What is the difference between sampling distribution and normal distribution
+8900,8900,What are the advantages and limitations of dimensional analysis
+8901,8901,What are the limitations of dimensional analysis class 11
+8902,8902,What is the importance of dimensional analysis
+8903,8903,Is gamma distribution normal
+8904,8904,How do you train a picture for face recognition
+8905,8905,How do you make a face recognition in Python
+8906,8906,What is trace of a matrix
+8907,8907,What is trace of a matrix explain with example
+8908,8908,Do we always need to do variable selection
+8909,8909,What are variable selection methods
+8910,8910,Can variable selection methods affect our inferences
+8911,8911,How do you determine main effects and interactions
+8912,8912,How do you report main effects and interactions
+8913,8913,What is an interaction in statistics describe an example
+8914,8914,What is transfer learning CNN
+8915,8915,How do you handle data Drifting
+8916,8916,What is drift data
+8917,8917,What's another word for bandit
+8918,8918,What is banditry mean
+8919,8919,What are the causes of banditry
+8920,8920,What is spectral density in time series
+8921,8921,What is spectral analysis in astronomy
+8922,8922,What is AI problem
+8923,8923,What is attention in CNN
+8924,8924,What is the attention model
+8925,8925,What is a sample space in probability
+8926,8926,How do you find the sample space in probability
+8927,8927,What is validation loss and training loss
+8928,8928,What is predictor variable in regression
+8929,8929,What is meant by the independent effect of the predictor variables in a multiple linear regression
+8930,8930,How do you choose a clustering algorithm
+8931,8931,Which of the following algorithm S provides fastest clustering results
+8932,8932,How do you find precision from standard deviation
+8933,8933,How do you find the precision percentage
+8934,8934,What is the relation between standard deviation and accuracy
+8935,8935,Are Autoencoders deep learning
+8936,8936,How do you determine a quantile
+8937,8937,What is the difference between discrete and continuous sample space
+8938,8938,Can you use dummy variables in linear regression
+8939,8939,What is the expectation of a uniform distribution
+8940,8940,Is Z distribution normal distribution
+8941,8941,How does linear regression algorithm work
+8942,8942,What is regression algorithm
+8943,8943,What is gradient boosted decision trees
+8944,8944,Does Sklearn use gradient descent
+8945,8945,How many components are present in generalized linear models
+8946,8946,How do you create a statistical model
+8947,8947,What is statistical Modelling explain with example
+8948,8948,Why do we want to develop statistical models
+8949,8949,What is ML embedding
+8950,8950,How do biases affect us
+8951,8951,Is Normal distribution Exponential family
+8952,8952,Why uniform distribution is not exponential family
+8953,8953,Is logistic distribution Exponential family
+8954,8954,Is Gaussian exponential
+8955,8955,What data does computer vision use
+8956,8956,What is machine vision in computer vision
+8957,8957,What are the applications of machine learning in computer vision
+8958,8958,How is human brain different from neural networks
+8959,8959,What is a neural network in the brain
+8960,8960,What does it mean if a test has low validity
+8961,8961,How can test retest reliability be improved
+8962,8962,What does it mean when variables are independent
+8963,8963,How do you know if two variables are independent
+8964,8964,What does independent variable mean in statistics
+8965,8965,What is normal probability distribution statistics
+8966,8966,What are time series used for
+8967,8967,Why is it important to know about the statistical properties of time series variables
+8968,8968,How do you know if a histogram is normally distributed
+8969,8969,What does a normal distribution mean
+8970,8970,How do you make a normal distribution histogram
+8971,8971,How do you assess predictive models
+8972,8972,What are the features extracted from an image
+8973,8973,What is feature points in image processing
+8974,8974,What is feature description
+8975,8975,Is median filtering linear
+8976,8976,Can random forest be used for continuous variable
+8977,8977,How do you handle correlated variables
+8978,8978,Is Econometrics a data science
+8979,8979,Is statistics a part of economics
+8980,8980,What is S curve and what is its significance
+8981,8981,What does statistical significance at the .05 level mean
+8982,8982,What is non convex function
+8983,8983,Which tagger is more powerful
+8984,8984,What is POS NLP
+8985,8985,Why is data visualization important how visualizing data improve decision making
+8986,8986,How does graphic representation of data help a decision maker
+8987,8987,Why do we need visualization
+8988,8988,What is gradient descent in linear regression
+8989,8989,Can machine learning predict stock prices
+8990,8990,When would you use a regression equation
+8991,8991,How are the parameters updated during gradient descent process
+8992,8992,How does gradient descent work in machine learning
+8993,8993,What controls the magnitude of a step taken during gradient descent in machine learning
+8994,8994,What is meant by LTI system
+8995,8995,How do you use a regression decision tree
+8996,8996,How do you know if its Type 1 or Type 2 error
+8997,8997,What are type I and type II errors in statistics
+8998,8998,Why does Type 2 error occur
+8999,8999,What is the purpose of KNN
+9000,9000,Why is sarsa on policy
+9001,9001,What is bimodal situation in statistics
+9002,9002,Which of the following is an example of a bimodal distribution
+9003,9003,How can you tell if a histogram is bimodal
+9004,9004,Who proposed expectation maximization EM algorithm
+9005,9005,How does EM algorithm work
+9006,9006,Why do we need gated mechanism in Lstm
+9007,9007,What is PAC Learning explain with example
+9008,9008,What is agnostic learning
+9009,9009,What is the difference between a control and a control group
+9010,9010,What are the Hyperparameters in neural network
+9011,9011,Why is CVT bad
+9012,9012,What are the pros and cons of CVT transmission
+9013,9013,Where is TensorFlow mostly used
+9014,9014,How do I use TensorFlow datasets
+9015,9015,What type of machine learning platform is TensorFlow
+9016,9016,What is neural network in computer
+9017,9017,What are pros of neural networks over computers
+9018,9018,How do you analyze a confounding variable
+9019,9019,How do you explain the law of large numbers
+9020,9020,Where are large numbers used
+9021,9021,What are support vector machines used for
+9022,9022,What is mAP metric
+9023,9023,What is mAP detection
+9024,9024,Why do we need activation functions in neural networks
+9025,9025,Why is it necessary to introduce non linearities in a neural network
+9026,9026,What is Mnist TensorFlow
+9027,9027,What is meant by classification accuracy
+9028,9028,How do you calculate overall accuracy
+9029,9029,What is meant by statistical Modelling
+9030,9030,What is data analytics and artificial intelligence
+9031,9031,What is the difference between AI and analytics
+9032,9032,Is data analysis part of machine learning
+9033,9033,Is the random variable discrete or continuous
+9034,9034,Is the random variable X discrete or continuous Choose the correct answer below
+9035,9035,What type of random variable is X
+9036,9036,Which is not a discrete random variable
+9037,9037,What is particle filter clogging
+9038,9038,Which algorithm is based on bootstrap aggregation
+9039,9039,What is bagging used for
+9040,9040,What does X represent in a equation
+9041,9041,How do you solve an equation in terms of x
+9042,9042,What is Bayes decision theory
+9043,9043,What is experimental probability
+9044,9044,Where is experimental probability used
+9045,9045,What is the experimental probability of rolling a 4
+9046,9046,What does a likelihood ratio mean
+9047,9047,Why are algorithms bad
+9048,9048,What is an attention network
+9049,9049,What is maximum likelihood hypothesis
+9050,9050,What is the formula for rate of diffusion
+9051,9051,How do I know which statistical model to use
+9052,9052,Why do different types of statistical models exist
+9053,9053,What is the P value in statistics
+9054,9054,What is the P value in at test
+9055,9055,What is the dependent variable in a linear regression
+9056,9056,How do you interpret a simple linear regression
+9057,9057,What is regression analysis for dummies
+9058,9058,Why is multiple regression better than simple regression
+9059,9059,What is inference in artificial intelligence
+9060,9060,What is the function of inference engine
+9061,9061,What are the steps in data preprocessing
+9062,9062,Is random sampling biased
+9063,9063,What are the different types of classification algorithms
+9064,9064,What is classification algorithm in machine learning
+9065,9065,What are the limitations of chi square test
+9066,9066,What are the assumptions of a chi square test
+9067,9067,What is the key assumption for a chi square goodness of fit test
+9068,9068,Does chi square test assume normal distribution
+9069,9069,What is meant by experimental bias
+9070,9070,What is meant by experimenter bias effect
+9071,9071,How do you overcome experimenter bias
+9072,9072,How do you find the expected value in a chi square test
+9073,9073,Why is naive Bayes better than decision tree
+9074,9074,Can we use naive Bayes for Regression
+9075,9075,What is DTM in NLP
+9076,9076,What is a 2 sided hypothesis test
+9077,9077,How do you know if a hypothesis test is one or two sided
+9078,9078,Is cluster sampling reliable
+9079,9079,What are some real life examples of regression
+9080,9080,What is linear regression used for in real world applications
+9081,9081,What are AI techniques
+9082,9082,Why is moment generating function useful
+9083,9083,What is prescriptive data analytics
+9084,9084,What is prescriptive analytics used for
+9085,9085,When should we use Z test
+9086,9086,Who invented the neural network
+9087,9087,What is the definition of linear growth
+9088,9088,What's the difference between linear and exponential growth
+9089,9089,What are the two types of growth curves
+9090,9090,How do you describe the growth curve
+9091,9091,How do you calculate Bayesian posterior probability
+9092,9092,What is agglomerative and divisive clustering
+9093,9093,How do you do divisive hierarchical clustering
+9094,9094,What does the P value mean
+9095,9095,What is the difference between principal component analysis and factor analysis
+9096,9096,What does Standardised difference mean
+9097,9097,What does a correlation coefficient of 0.8 mean
+9098,9098,How do you find the simple correlation coefficient
+9099,9099,What is the standard error of the residuals
+9100,9100,How do you estimate and interpret a residual
+9101,9101,Which of the following is an advantage of backward chaining
+9102,9102,Which of the following is an advantage of backward chaining quizlet
+9103,9103,Why do we use t distribution for means
+9104,9104,What's the difference between the normal distribution and the Student's t distribution
+9105,9105,What is a left tailed test in statistics
+9106,9106,How do I start learning data analysis
+9107,9107,How hard is it to learn data analysis
+9108,9108,What is meant by normalization
+9109,9109,What is Survey Sampling Method
+9110,9110,What sampling method should I use for surveys
+9111,9111,Why is sample survey taken
+9112,9112,Is the standard deviation an unbiased estimator
+9113,9113,What are the clustering techniques
+9114,9114,Why do we use N 1 instead of N in the formula of sample standard deviation
+9115,9115,Why do we do n 1 in standard deviation
+9116,9116,What is the standard normal distribution percentage
+9117,9117,What does harmonic mean represent
+9118,9118,What is relation between arithmetic mean and geometric mean
+9119,9119,How do you measure classifier performance
+9120,9120,What performance metrics are used for evaluating the performance of supervised classification algorithms
+9121,9121,What are the types of random process
+9122,9122,What is Markov chain simulation
+9123,9123,How do you find the margin of error for a 99 confidence interval
+9124,9124,How do you find the probability of dependent events
+9125,9125,What are those different techniques in analyzing a text
+9126,9126,What are some popular application areas of text mining
+9127,9127,What is supervised and unsupervised image classification
+9128,9128,What is the difference between one way and two way effect model
+9129,9129,What is a fixed effect in a model
+9130,9130,What does it mean if R2 is negative
+9131,9131,What if coefficient of determination is negative
+9132,9132,What does it mean when the regression coefficient is negative
+9133,9133,What is the correct definition of a randomized controlled clinical trial quizlet
+9134,9134,What does a randomized controlled trial mean
+9135,9135,Is data science important for machine learning
+9136,9136,How are AI and data science related
+9137,9137,What is the relationship between big data and machine learning
+9138,9138,Is random forest regression or classification
+9139,9139,How can you calculate accuracy using a confusion matrix
+9140,9140,What is imbalanced data classification
+9141,9141,How do you find the mean of a uniform distribution
+9142,9142,What is the mean of the standard uniform distribution
+9143,9143,What is the mean and median of a uniform distribution
+9144,9144,What is meant by representation
+9145,9145,What is the difference between K mean and em
+9146,9146,What is EM in machine learning
+9147,9147,What is optimization neural network
+9148,9148,How do you find the similarity between documents
+9149,9149,What are the benefits of deep learning
+9150,9150,What is Anova test used for
+9151,9151,How do you classify the accuracy of an algorithm
+9152,9152,What does the chi square statistic tell us
+9153,9153,What is the purpose of a chi square test
+9154,9154,How can generalization be improved
+9155,9155,Which of the following are components of generalization error
+9156,9156,What is generalization error in machine learning
+9157,9157,How do you figure out a weighted grade
+9158,9158,How is weighted performance score calculated
+9159,9159,How would you calculate a weighted mean
+9160,9160,What's a good RMSE score
+9161,9161,What is logarithmic error
+9162,9162,How do you determine an unbiased estimator
+9163,9163,What is regression data Modelling
+9164,9164,What is an example of outgroup
+9165,9165,What are examples of Ingroups and Outgroups
+9166,9166,What is an outgroup
+9167,9167,What is maximum likelihood used for
+9168,9168,How decision tree is used for classification
+9169,9169,How classification process is carried out by decision tree induction
+9170,9170,What is the role of decision tree in inductive learning
+9171,9171,What is univariate and bivariate data
+9172,9172,What is Bayesian probability how is it used in research
+9173,9173,Is population variance the same as standard deviation
+9174,9174,What is the formula for standard deviation of a population
+9175,9175,Is standard deviation a population parameter
+9176,9176,What technique is considered unsupervised learning quizlet
+9177,9177,Which is an example of unsupervised learning
+9178,9178,How do you swap variable values
+9179,9179,What is an artificial neural network and how does it work
+9180,9180,Where artificial neural network is used
+9181,9181,What is Perceptron and how it is different from neural network
+9182,9182,How are Embeddings learned
+9183,9183,How do you use fastText
+9184,9184,What is the concept of correlation
+9185,9185,Is TensorFlow and keras same
+9186,9186,How do I use keras in TensorFlow
+9187,9187,How do you find the SVD of a matrix
+9188,9188,What is Lift Association rule
+9189,9189,How do you calculate support in data mining
+9190,9190,What does Joint Distribution mean
+9191,9191,What is weighted harmonic
+9192,9192,What is the formula for harmonic mean
+9193,9193,What is the statistic Moran's I used to measure
+9194,9194,What is Local Moran's I
+9195,9195,What does spatial autocorrelation tell us
+9196,9196,What is the P value in hypothesis testing
+9197,9197,What is a multivariate model
+9198,9198,What is the difference between multivariate and multiple regression
+9199,9199,What is dropout function
+9200,9200,What does it mean to fit a model to data
+9201,9201,Which regression model best fits the data set
+9202,9202,What are analytical tools and techniques
+9203,9203,Is residual standard error same as MSE
+9204,9204,What is the difference between F distribution and Z distribution
+9205,9205,How do you describe a correlation
+9206,9206,What are the characteristics of the coefficient of correlation
+9207,9207,What is the difference between the Kolmogorov Smirnov test and the chi squared test when should we use one instead of the other
+9208,9208,How do you compare two means groups
+9209,9209,Which test is used to compare two groups and one variable
+9210,9210,What do you mean by gradient descent
+9211,9211,What is the meaning of interpolate
+9212,9212,What is the use of interpolation
+9213,9213,Why is Lasso regression used
+9214,9214,What is the difference between sample and sample size
+9215,9215,What is sample size in statistics
+9216,9216,How do you find the sample size
+9217,9217,How do you interpret regression analysis results
+9218,9218,Are arithmetic mean and mean different
+9219,9219,Which of the following are principles of active learning
+9220,9220,What are the four principles of learning
+9221,9221,What is preferential bias
+9222,9222,What are restriction biases and preference biases and differentiate between them
+9223,9223,What are the types of bias
+9224,9224,Is an inductor a low pass filter
+9225,9225,What makes a high pass filter
+9226,9226,How do inductors filter
+9227,9227,Does the dependent variable have to be normally distributed
+9228,9228,How do you deal with data that is not normally distributed
+9229,9229,How can we reduce Overfitting in deep learning
+9230,9230,How do you know if a time series is non stationary
+9231,9231,What is a non stationary series
+9232,9232,Why is preprocessing necessary in image processing
+9233,9233,How do you show independence of a random variable
+9234,9234,Which of the following is used to distinguish the false positive rate from the false negative rate
+9235,9235,How do you create a facial recognition system
+9236,9236,How does mutual information help understand meaning
+9237,9237,How do you use mutual information
+9238,9238,What does regression to the mean mean
+9239,9239,What does non stationary mean
+9240,9240,What is a non stationary time series
+9241,9241,What is difference stationary process
+9242,9242,What is meant by centripetal acceleration
+9243,9243,How do you find centripetal acceleration
+9244,9244,What is LDA in dimensionality reduction
+9245,9245,Is Random Forest a classification
+9246,9246,How do you use random forest classification
+9247,9247,Is Random Forest a predictive model
+9248,9248,How do you do a log rank test
+9249,9249,What is the Logrank test when is it used and what is the benefit its use involves
+9250,9250,How do you find the log rank in R
+9251,9251,What does K mean in Knn
+9252,9252,What is the condition for Hermitian matrix
+9253,9253,Can a real matrix be Hermitian
+9254,9254,How do you prove a skew Hermitian
+9255,9255,How do you identify the null and alternative hypothesis
+9256,9256,How do you define null hypothesis
+9257,9257,What is a bad R2 value
+9258,9258,How do you determine the reliability and validity of a survey
+9259,9259,How do you ensure validity and reliability in assessment
+9260,9260,What is the difference between simple random sampling and random sampling
+9261,9261,What makes a good randomized controlled trial
+9262,9262,What is a good sample size
+9263,9263,How do you calculate effect size in RCT
+9264,9264,When should I use Spearman correlation
+9265,9265,What does stochastic mean
+9266,9266,What is sampling error explain with an example
+9267,9267,What is sampling error and standard error
+9268,9268,What is a sampling universe
+9269,9269,What is the difference between universe and population
+9270,9270,What does universe mean in statistics
+9271,9271,What defines a sample
+9272,9272,How do you find the mean of a probability density function
+9273,9273,What does the value of a probability density function denote
+9274,9274,What is probability density function and its properties
+9275,9275,What is true about probability density
+9276,9276,What are the conditions for a function to be a probability density function
+9277,9277,How do patterns contribute to problem solving
+9278,9278,Why is pattern recognition important
+9279,9279,What are the applications of pattern recognition
+9280,9280,What is the objective of factor analysis
+9281,9281,Is NLP deep learning
+9282,9282,What is the difference between the Pearson correlation and the Spearman correlation
+9283,9283,What is the difference between Spearman and Kendall correlation
+9284,9284,What does Spearman correlation mean
+9285,9285,When would you use Spearman rank correlation
+9286,9286,Why is median better than mean
+9287,9287,Why is the median better
+9288,9288,When should I use median instead of average
+9289,9289,Why is averaging more accurate
+9290,9290,Why is SVM effective on high dimensional data
+9291,9291,What is SVM What are the limitations of SVM
+9292,9292,What's the difference between unconscious bias and implicit bias
+9293,9293,Which is best described as descriptive statistics
+9294,9294,What is inferential statistics quizlet
+9295,9295,How you can decide if an algorithm is better than another algorithm
+9296,9296,What makes an algorithm efficient
+9297,9297,What are the two main measures for the efficiency of an algorithm
+9298,9298,How would you improve the performance of your algorithm in terms of memory efficiency
+9299,9299,How do you calculate error in measurement
+9300,9300,What are the types of measurement errors
+9301,9301,What are dropout layers
+9302,9302,How does dropout standardization work
+9303,9303,What is the difference between variance and standard error
+9304,9304,What is another name for an independent variable in regression
+9305,9305,What is the other term of independent variable
+9306,9306,What is random walk method
+9307,9307,Why is the Randu pseudo random number generator unacceptable
+9308,9308,What is a random number generator in statistics
+9309,9309,How do you know if normal approximation is appropriate
+9310,9310,What are the 4 conditions of a binomial distribution
+9311,9311,What is encoder in neural network
+9312,9312,What is federated learning model
+9313,9313,What is Federated averaging
+9314,9314,What do mean by reward & utility function in MDP
+9315,9315,What do voltmeters measure
+9316,9316,Why is a Gaussian filter preferred to a box filter
+9317,9317,How do you do systematic random sampling
+9318,9318,What are the problems a decision tree solves
+9319,9319,How do you evaluate the performance of a model
+9320,9320,How do you evaluate the performance of a regression model
+9321,9321,How do you enter data into multiple regression in SPSS
+9322,9322,What is stepwise method
+9323,9323,Are multicollinearity and autocorrelation the same thing
+9324,9324,What is the meaning of autocorrelation
+9325,9325,How do you explain Multicollinearity
+9326,9326,What is classification accuracy in data mining
+9327,9327,What is perplexity in machine learning
+9328,9328,How do you evaluate a model in NLP
+9329,9329,What is the batch size
+9330,9330,How do you analyze logistic regression
+9331,9331,Is LDA a generative model
+9332,9332,What is correlation and regression analysis
+9333,9333,What is meant by correlation analysis
+9334,9334,What is the meaning of regression analysis
+9335,9335,What is forecasting in ML
+9336,9336,What are optimizers in machine learning
+9337,9337,What is metric in deep learning
+9338,9338,What is meta learning in machine learning
+9339,9339,What are the data preprocessing steps
+9340,9340,What is the curse of dimensionality and how do you tackle it
+9341,9341,What is A and B in uniform distribution
+9342,9342,Is Beta 1 a random variable
+9343,9343,How do you calculate maximum likelihood
+9344,9344,What is Backpropagation in CNN
+9345,9345,What is Backpropagation in convolutional neural network
+9346,9346,What is explained variance score
+9347,9347,How much variance should be explained in factor analysis
+9348,9348,How much variation is explained
+9349,9349,What are temporal dynamics
+9350,9350,How do you do a hierarchical cluster analysis
+9351,9351,How do I do a cluster analysis in SPSS
+9352,9352,How do you use hierarchical clustering
+9353,9353,How do you select the number of clusters in hierarchical clustering
+9354,9354,What is the purpose of dropout
+9355,9355,How does Monty Hall problem work
+9356,9356,What are the disadvantages of hypothesis
+9357,9357,How can we minimize the limitations of hypothesis
+9358,9358,Can you have a negative chi square value
+9359,9359,How do you know if a function is not differentiable
+9360,9360,What are the functions of indicators
+9361,9361,How do you integrate an indicator function
+9362,9362,What are the properties of exponential distribution
+9363,9363,What is the purpose of probability distribution
+9364,9364,What is stationarity in time series data
+9365,9365,How many hidden layers does the following neural network have
+9366,9366,Why do neural networks have hidden layers
+9367,9367,How do you read a bell curve distribution
+9368,9368,What is the bell curve rule
+9369,9369,What is an example of bimodal distribution
+9370,9370,What might bimodal distribution tell us about our data
+9371,9371,Do you use mean or median for bimodal distribution
+9372,9372,What does data wrangling mean
+9373,9373,What does frequency distribution tell us
+9374,9374,What is the value of the appropriate test statistic
+9375,9375,What is the standard test statistic
+9376,9376,Is the test statistic the Z score
+9377,9377,Why is binning used
+9378,9378,What is the meaning of binning
+9379,9379,When should you do binning
+9380,9380,How do you evaluate a clustering algorithm
+9381,9381,What does the intercept mean in regression
+9382,9382,What does the intercept mean in multiple regression
+9383,9383,What is intercept in Excel regression
+9384,9384,What is the symbol for the intercept of a regression equation
+9385,9385,What are the deep learning frameworks
+9386,9386,Is TensorFlow used for deep learning
+9387,9387,What is regularization parameter tells in SVM
+9388,9388,What is the C parameter in SVM
+9389,9389,How statistics can be misleading examples
+9390,9390,How can data analytics be misleading
+9391,9391,How statistics can be misleading Ted
+9392,9392,What is a kernel in machine learning
+9393,9393,What are benefits of using kernels in SVM
+9394,9394,What is N kg equal to
+9395,9395,What unit is kg/m s2
+9396,9396,What is neural network forecasting
+9397,9397,What is the purpose of the decision tree used to predict the predicted outcome of a neural networks
+9398,9398,What's the difference between t interval and z interval
+9399,9399,What does t mean in statistics
+9400,9400,How do you find the quartile deviation of a class interval
+9401,9401,What is assertion rule mining
+9402,9402,What is Apriori property discuss with example how this property is maintained in Apriori algorithm
+9403,9403,What is the purpose of a vector
+9404,9404,What is statistical classification in economics
+9405,9405,What is the meaning of statistics
+9406,9406,What is classification analysis
+9407,9407,What do you mean by analysis of variance
+9408,9408,How do you analyze variance
+9409,9409,How do you find the probability of a continuous random variable
+9410,9410,How do you know if a sample size is statistically valid
+9411,9411,What is one tailed and two tailed test with example
+9412,9412,When should a one tailed test be used
+9413,9413,What is latent space in Gan
+9414,9414,How do you do dimensional analysis conversions
+9415,9415,How do you do dimensional analysis
+9416,9416,How do you convert measurements from one unit to another
+9417,9417,How do you find the correlation between two variables in R
+9418,9418,How do you calculate correlation r
+9419,9419,How do you calculate the relationship between two variables
+9420,9420,How do you find correlation matrix in R
+9421,9421,Is Arima A ML
+9422,9422,Why is stochastic gradient descent
+9423,9423,What is the difference between marginal and conditional distribution
+9424,9424,What is marginal probability function
+9425,9425,How do you know a vector is supported
+9426,9426,What does Gini index mean
+9427,9427,What is the joint probability distribution of X and Y
+9428,9428,What is the joint pdf of X and Y
+9429,9429,What is CNN filter
+9430,9430,Is RBF linear
+9431,9431,What is Gamma in RBF
+9432,9432,What is dependent and independent variable in regression
+9433,9433,How do you define sample space
+9434,9434,How do you find the sample space in statistics
+9435,9435,How do you interpret odds ratio in logit
+9436,9436,Is logit the same as log odds
+9437,9437,How do you convert odds to log odds
+9438,9438,Why is coefficient of variation better than standard deviation
+9439,9439,What does a high F value mean
+9440,9440,How do you find the dissimilarity matrix
+9441,9441,What is similarity and dissimilarity matrix
+9442,9442,What is dissimilarity in data mining
+9443,9443,What do Quantiles tell us
+9444,9444,What does quantile measure mean
+9445,9445,What is a quantile value
+9446,9446,What is the meaning of stratified
+9447,9447,What does unstandardized regression coefficient mean
+9448,9448,What does the raw score regression coefficient tell you
+9449,9449,What does the B coefficient mean in regression
+9450,9450,How do you interpret multiple regression coefficients
+9451,9451,What is meant by inferential statistics class 11
+9452,9452,How do you find outliers in data mining
+9453,9453,What are the advantages of reinforcement learning
+9454,9454,Why modern deep neural networks work well
+9455,9455,How do you find the median of a population
+9456,9456,How do you calculate a median
+9457,9457,What is median population
+9458,9458,What is deep learning good at
+9459,9459,How can I make money with deep learning
+9460,9460,Should I learn Scikit learn or TensorFlow
+9461,9461,What is AB testing and multivariate testing
+9462,9462,When would you use a multivariate test
+9463,9463,How do you conduct a multivariate test
+9464,9464,What is probability explain with an example
+9465,9465,What is the output of SVM
+9466,9466,Can SVM be used for prediction
+9467,9467,What is the formula of mean deviation about median
+9468,9468,How do you find the mean median and standard deviation
+9469,9469,How do you find the median deviation
+9470,9470,How do you find the mean and median
+9471,9471,What is the future of artificial intelligence and machine learning
+9472,9472,How do you calculate decision rule
+9473,9473,What is a decision rule in the context of hypothesis testing
+9474,9474,What does it mean if you have a negative correlation coefficient
+9475,9475,What is an example of negative correlation
+9476,9476,What is Bag of Words NLP
+9477,9477,What is the distribution of the random variable
+9478,9478,What does the distribution of a variable tell us
+9479,9479,What two things does the distribution of a variable describe
+9480,9480,How do you find the p value in a permutation test
+9481,9481,What is a permutation in statistics
+9482,9482,When would you use a randomization test
+9483,9483,What is the difference between the arithmetic mean and geometric mean
+9484,9484,How does LBPH algorithm work
+9485,9485,What is LBP in image processing
+9486,9486,What are steps in K means algorithm
+9487,9487,What is first moment and second moment
+9488,9488,Is Variance The second moment
+9489,9489,Why is the first central moment zero
+9490,9490,What is the difference between a binomial random variable and a negative binomial random variable
+9491,9491,What is a key difference between the binomial distribution and normal distribution
+9492,9492,What is gradient in logistic regression
+9493,9493,What is gradient descent in regression
+9494,9494,How do you do gradient descent in logistic regression
+9495,9495,What is meant by gradient descent
+9496,9496,What is the difference between the formula for sample variance and population variance
+9497,9497,Does sample variance equal population variance
+9498,9498,What does population variance mean
+9499,9499,What is the difference between sample and population in standard deviation
+9500,9500,Is looking an action word
+9501,9501,How can sampling and non sampling errors be reduced
+9502,9502,How sampling errors can be reduced quizlet
+9503,9503,How do you find y hat in linear regression
+9504,9504,What is Y hat in regression equation
+9505,9505,How do you calculate Y in regression
+9506,9506,What is Y minus Y hat
+9507,9507,What is meant by standard deviation in statistics
+9508,9508,Does the mean affect standard deviation
+9509,9509,What is the difference between regression analysis and correlation analysis
+9510,9510,What is the difference between correlation and regression PDF
+9511,9511,What is regression and correlation in statistics
+9512,9512,What is difference between correlation and causation
+9513,9513,How do you measure consistency of data in statistics
+9514,9514,What is explainable AI example
+9515,9515,What is explainable AI principle
+9516,9516,What is transparency in machine learning
+9517,9517,What is the purpose of metrics
+9518,9518,How does SVM work in image processing
+9519,9519,What is a good likelihood ratio
+9520,9520,What is a neural network model
+9521,9521,What is the meaning of selection bias
+9522,9522,What are data preprocessing methods
+9523,9523,What is pooling in neural network
+9524,9524,What is pooling machine learning
+9525,9525,Can SGD solve dimensionality reduction
+9526,9526,Where can you find a lurking variable
+9527,9527,Is gender a lurking variable
+9528,9528,What is temporal data mining
+9529,9529,What is spatial temporal data
+9530,9530,What is spatial data mining
+9531,9531,What is spatial and temporal variability
+9532,9532,What is the impact of measurement error on studies
+9533,9533,What causes error in measurements
+9534,9534,How does measurement error affect reliability
+9535,9535,How do you analyze a box plot
+9536,9536,What can a box plot tell you
+9537,9537,What are constraints in problem solving
+9538,9538,How do you calculate FDR from P value
+9539,9539,How do you analyze time series
+9540,9540,How do you represent time series data
+9541,9541,Why is p value important in statistics
+9542,9542,What is the advantage of P value approach over critical value approach
+9543,9543,What are the uses and limitations of P value
+9544,9544,How do you predict a linear regression in R
+9545,9545,How do you predict a value in linear regression
+9546,9546,How do you interpret regression results in R
+9547,9547,What does a kernel function do
+9548,9548,What is the linear kernel
+9549,9549,How do you know if its descriptive or inferential
+9550,9550,When would you use inferential statistics
+9551,9551,Why would one use descriptive statistics vs inferential statistics
+9552,9552,Is mutual information a metric
+9553,9553,How do you calculate information
+9554,9554,What is the difference between regression and classification
+9555,9555,Is logistic regression a linear classifier
+9556,9556,Is logistic regression a classification method
+9557,9557,How do you interpret principal component analysis
+9558,9558,How do you interpret the principal component analysis in SPSS
+9559,9559,How do you report the results of principal component analysis
+9560,9560,What is a B testing used for
+9561,9561,What is the difference between hypothesis and hypothesis testing
+9562,9562,What is an output
+9563,9563,How do you know if a function is input and output
+9564,9564,How do you test for reliability
+9565,9565,What is the loss function in regression
+9566,9566,What are the different loss functions
+9567,9567,What are the requirements for algorithms
+9568,9568,How do you practice algorithms
+9569,9569,How do you convert standard deviation to population standard deviation
+9570,9570,How do you find the estimated standard deviation
+9571,9571,How do you find the population standard deviation given the mean
+9572,9572,What do you mean by instance based learning
+9573,9573,What is instance in algorithm
+9574,9574,What is a message queue and when would one be useful
+9575,9575,What is the difference between a discrete and a continuous distribution
+9576,9576,Is Poisson distribution discrete
+9577,9577,Can normal distribution be discrete
+9578,9578,What is difference between entropy and enthalpy
+9579,9579,Why entropy is Q T
+9580,9580,Is entropy positive or negative
+9581,9581,What is the difference between a nerve and a neuron
+9582,9582,What do chunking mean
+9583,9583,What is chunking How does it work
+9584,9584,What is chinking in NLP
+9585,9585,What is Optimizer in machine learning
+9586,9586,WHY A * is optimal
+9587,9587,WHY A * algorithm is better than BFS
+9588,9588,WHY A * algorithm is popular
+9589,9589,When an A * search algorithm is optimal
+9590,9590,Is deep learning unsupervised machine learning
+9591,9591,What is a spatiotemporal model
+9592,9592,What is spatiotemporal data
+9593,9593,What is meant by linear time invariant system
+9594,9594,What is considered a weak correlation
+9595,9595,Is 0.2 A weak correlation
+9596,9596,How does Association rule qualify & list out its measures
+9597,9597,How does neural network determine activation function
+9598,9598,How do you choose activation function
+9599,9599,What are some examples of data analysis
+9600,9600,How do you start an analysis
+9601,9601,What is the relationship between machine learning and artificial intelligence
+9602,9602,What is the difference between AI and ML quizlet
+9603,9603,What is the purpose of using a hashing algorithm with files
+9604,9604,How do you find theoretical and experimental probability
+9605,9605,What is the theoretical probability of rolling a 4
+9606,9606,What is the nonparametric equivalent to the t test
+9607,9607,What is Bayesian statistics
+9608,9608,How do you know if a sample is representative
+9609,9609,How do you decide a sample size for a representative
+9610,9610,What is representative sampling
+9611,9611,What percentage is considered a representative sample
+9612,9612,What is regression explain with example
+9613,9613,What are two types of sampling errors
+9614,9614,What are sampling errors in statistics
+9615,9615,What are the sources of error in sampling
+9616,9616,What is λ in math
+9617,9617,What is lambda in Poisson
+9618,9618,What is lambda in an exponential distribution
+9619,9619,How does median filter work
+9620,9620,How is deep learning algorithm implemented
+9621,9621,How do you apply deep learning
+9622,9622,What are deep learning methods
+9623,9623,What is meant by decision tree
+9624,9624,What is decision tree in data science
+9625,9625,What is the use of sigmoid function
+9626,9626,How does sigmoid work
+9627,9627,Why sigmoid functions are used in logistic regression
+9628,9628,What does a regression mean
+9629,9629,What is an example of regression problem
+9630,9630,What does the slope of a regression line tell us
+9631,9631,Is the slope of the regression line positive or negative
+9632,9632,What does it mean to interpret the slope
+9633,9633,Why is backpropagation used
+9634,9634,What is the true meaning of intelligence
+9635,9635,What is the meaning of intelligent
+9636,9636,What is adaptive noise cancellation beats
+9637,9637,What is the difference between adaptive and active noise Cancelling
+9638,9638,How do you find non probability sampling
+9639,9639,How do you describe frequency distribution
+9640,9640,How do you interpret relative frequency
+9641,9641,What do you mean by association rules for what purpose it is being used explain with example
+9642,9642,What is Association in unsupervised learning
+9643,9643,What is Association in data mining
+9644,9644,Is Association rule supervised or unsupervised
+9645,9645,What makes a neural network convolutional
+9646,9646,What are the steps in convolutional neural network
+9647,9647,How can we prevent selection bias in research
+9648,9648,How do you control for biases
+9649,9649,How do you minimize selection bias in a case control study
+9650,9650,What is logit value
+9651,9651,What does a standard normal distribution tell us
+9652,9652,What is the purpose of standard normal distribution
+9653,9653,What are the main characteristics of standard normal distribution
+9654,9654,What does Frequentist mean
+9655,9655,Is machine learning frequentist or Bayesian
+9656,9656,Is Gaussian process machine learning
+9657,9657,Is Gaussian a Bayesian process
+9658,9658,In which algorithm feature scaling is important
+9659,9659,How do you find the p value for a Fisher's exact test
+9660,9660,What is Fisher's P value
+9661,9661,What is null hypothesis in epidemiology
+9662,9662,How does neural net work
+9663,9663,How a neural network is trained
+9664,9664,How does a deep neural network work
+9665,9665,How do you use a neural network
+9666,9666,How does a histogram of oriented gradients work
+9667,9667,How do you calculate the hog feature vector
+9668,9668,What are the types of neural network
+9669,9669,What is neural network architecture give its types and explain them
+9670,9670,What are the benefits of BRCA testing
+9671,9671,Which is worse BRCA1 or BRCA2
+9672,9672,What is the role of BRCA1 and BRCA2
+9673,9673,What is vanishing and exploding gradient problem
+9674,9674,What is the use of K nearest neighbors algorithm
+9675,9675,What are the characteristics of K NN algorithm
+9676,9676,How do you find the eigenfunction of an operator
+9677,9677,What is the difference between regular and conditional probability
+9678,9678,What is the difference between P a B and P B A
+9679,9679,Is AZ score a standard deviation
+9680,9680,What are the characteristics of a normal curve in statistics
+9681,9681,What does the term normal curve mean
+9682,9682,What are the 4 conditions to be normal curve
+9683,9683,How do you draw a normal curve
+9684,9684,How do you know if its Binisial or poisson
+9685,9685,What is supervised learning and unsupervised learning give examples of each
+9686,9686,Is Random Forest is an example of unsupervised machine learning
+9687,9687,What is the random error
+9688,9688,How does a Markov chain work
+9689,9689,Which is better Sklearn or TensorFlow
+9690,9690,What is local minima problem
+9691,9691,What is local minima in neural network
+9692,9692,What is local and global minima
+9693,9693,What do you mean by order statistics
+9694,9694,Which filter has order statistics and averaging properties
+9695,9695,Is Gan deep learning
+9696,9696,What is the midrange in statistics
+9697,9697,How do you find the mid range value
+9698,9698,Where is the mid range
+9699,9699,What is transformation in machine learning
+9700,9700,What does features mean in machine learning
+9701,9701,How do you calculate B or PA
+9702,9702,How do you measure Gan
+9703,9703,How do you train Gan
+9704,9704,Who invented logistic regression
+9705,9705,Why is it called logistic regression
+9706,9706,Where logistic regression is used
+9707,9707,How is logistic regression done
+9708,9708,When would you use a nonparametric test
+9709,9709,For what types of data would you use nonparametric versus parametric statistics
+9710,9710,What is difference between Collinearity and correlation
+9711,9711,Does correlation imply Collinearity
+9712,9712,How do you identify Multicollinearity
+9713,9713,How do you solve a vanishing gradient problem
+9714,9714,What is DBN in deep learning
+9715,9715,How do you calculate the expected value of a random variable
+9716,9716,Are uncorrelated variables independent
+9717,9717,What variable is uncorrelated but dependent
+9718,9718,Is a normal distribution independent
+9719,9719,What is the definition of quality according to Genichi Taguchi
+9720,9720,What does the Wilcoxon rank sum test do
+9721,9721,How does discrete wavelet transform work
+9722,9722,What is the difference between continuous and discrete wavelet transform
+9723,9723,What does the Z test statistic mean
+9724,9724,Why do we use Z statistic
+9725,9725,What specifically does a Z score of tell you about a data point
+9726,9726,What is the purpose of factor analysis in the test construction process
+9727,9727,What is the most common measure of distance used with K means clustering algorithms
+9728,9728,How do you find the variance ratio
+9729,9729,What is variance ratio test in statistics
+9730,9730,Which test is also known as variance ratio test
+9731,9731,What is the F factor in statistics
+9732,9732,Does kaneki tell hide He's a ghoul
+9733,9733,What is log normal return
+9734,9734,Are log returns normally distributed
+9735,9735,How is entropy calculated in information theory
+9736,9736,What does it mean when something is central
+9737,9737,How do you use Central in a sentence
+9738,9738,What is the role of AI
+9739,9739,What is the action of task environment in AI
+9740,9740,What is neuroplasticity and how does it work
+9741,9741,Do stock returns follow normal distribution
+9742,9742,Why stock return distribution is not a normal curve
+9743,9743,Are asset returns normally distributed
+9744,9744,What is expected error
+9745,9745,How do you calculate standard error and expected value
+9746,9746,How do you calculate data error
+9747,9747,What is the main difference between a T test and an F test in Anova
+9748,9748,What is the key difference between one way Anova and a t test quizlet
+9749,9749,Which noise is reduced by median filter
+9750,9750,Why median filter is used in image processing
+9751,9751,What are the discrete distributions
+9752,9752,What is discrete probability distribution example
+9753,9753,What is a chi square test used for
+9754,9754,What does the chi square statistic mean
+9755,9755,What is the advantage of using an odd value of k in binary classification problems using KNN algorithm
+9756,9756,What is knowledge base in expert system
+9757,9757,What is bad about big data
+9758,9758,What is dataset in spark with example
+9759,9759,What is difference between DataFrame and dataset
+9760,9760,Can artificial intelligence replace human
+9761,9761,What is a statistic in a study
+9762,9762,What is an example of a statistical experiment
+9763,9763,How do you find correlation coefficient on calculator
+9764,9764,What is correlation and how do you calculate it
+9765,9765,What are the consequences of Heteroskedasticity on the properties of the least squares estimators
+9766,9766,Which algorithm is efficient
+9767,9767,How do you know which algorithm is better
+9768,9768,What does it mean to say one algorithm is more efficient than another
+9769,9769,What is precision in machine learning
+9770,9770,What is the difference between accuracy and precision
+9771,9771,Why do we use bivariate correlation
+9772,9772,Why do we use bivariate analysis
+9773,9773,When should you use a correlation
+9774,9774,What are the properties of distribution function
+9775,9775,What is the range of values of the cumulative distribution function
+9776,9776,How do you interpret a dummy variable in regression
+9777,9777,What is the dummy variable trap
+9778,9778,What is dummy coding in regression
+9779,9779,How many dummy variables can I have in a regression
+9780,9780,What is naive Bayes in machine learning
+9781,9781,What machine learning task is the naive Bayes algorithm used for
+9782,9782,What are common algorithms of deep learning
+9783,9783,How do you interpret odds ratio in SPSS
+9784,9784,How do you find the interval on a histogram
+9785,9785,What does interval mean in histogram
+9786,9786,Do histograms show intervals
+9787,9787,What is an interval in a frequency table
+9788,9788,Can TensorFlow be used for machine learning
+9789,9789,What does SPSS stand for
+9790,9790,What is a receptive field in CNN
+9791,9791,How do you read ratio scales
+9792,9792,Is neural network machine learning algorithm
+9793,9793,What is neural learning
+9794,9794,What is meant by real time processing
+9795,9795,What is batch and real time processing
+9796,9796,What is meant by real time
+9797,9797,How do you remember precision and recall
+9798,9798,When estimating the population mean with small sample
+9799,9799,When estimating the population mean with a small sample the T distribution may be used with
+9800,9800,How do you estimate the population standard deviation of a sample
+9801,9801,How do you find the sample mean from population mean and standard deviation
+9802,9802,What is hypothesis space in machine learning
+9803,9803,Is IQ a ratio or interval
+9804,9804,What is an example of an interval scale
+9805,9805,Is IQ a ratio
+9806,9806,How do you run a regression for a categorical variable
+9807,9807,What is L1 and L2 loss
+9808,9808,What is hierarchical method in data mining
+9809,9809,What is hierarchical method for clustering explain Birch method
+9810,9810,What is produced by hierarchical clustering
+9811,9811,Why gradient boosting is better than random forest
+9812,9812,What is the use of gradient descent
+9813,9813,Why do neural networks use gradient descent
+9814,9814,What is cost function and gradient descent
+9815,9815,What is the reason of binocular disparity in visual sensation
+9816,9816,How do you find depth from disparity
+9817,9817,What is the use of multiset
+9818,9818,What is partial least square method
+9819,9819,Which of the following algorithm is used to predict continuous values
+9820,9820,Should I use TensorFlow
+9821,9821,What is the use of TensorFlow in Python
+9822,9822,What is the role of planning in AI
+9823,9823,What is planning in artificial intelligence
+9824,9824,What are the components of planning system in AI
+9825,9825,What is feature extraction in NLP
+9826,9826,Can data be biased
+9827,9827,What is probability mass function and probability density function
+9828,9828,How do you combine probability
+9829,9829,Can you add two normal distributions
+9830,9830,How do you find the joint probability distribution function
+9831,9831,What is geometric distribution formula
+9832,9832,What is the purpose of support vector machines
+9833,9833,What does Pvq mean
+9834,9834,What is a regression test used for
+9835,9835,What is the input variable called
+9836,9836,What is an input value
+9837,9837,Can we perform linear regression with a neural network
+9838,9838,Is neural network a linear model
+9839,9839,Which of the following distance metric is used in K means algorithm
+9840,9840,What is true for K means algorithm
+9841,9841,What is a gradient filter
+9842,9842,How do you find the gradient of an image
+9843,9843,What is Sobel filter in image processing
+9844,9844,What causes a data set to be skewed
+9845,9845,What does it mean if data is skewed left
+9846,9846,What is the difference between security group and network ACL
+9847,9847,What is the difference between NACLs and security groups
+9848,9848,When would you utilize security groups rather than network ACLs
+9849,9849,How do you compare two Bayesian models
+9850,9850,How would you prepare text data for deep learning with keras
+9851,9851,How does NLP prepare data
+9852,9852,How do you handle text data
+9853,9853,Is deep learning suitable for text analysis
+9854,9854,What makes a good feature machine learning
+9855,9855,How do you find the distance between two matrices
+9856,9856,How do you find the similarity between two matrices
+9857,9857,How do you explain Lasso regression
+9858,9858,Is neural networks part of machine learning
+9859,9859,Does all AI use neural networks
+9860,9860,What is the main difference between parametric and nonparametric statistics
+9861,9861,What is the meaning of parametric statistics
+9862,9862,What is called calibration
+9863,9863,What is calibration with example
+9864,9864,What is meant by calibration of an instrument
+9865,9865,What is the purpose of calibration
+9866,9866,What is the use of covariance matrix
+9867,9867,What kind of information do we get from covariance
+9868,9868,When should one use covariance and correlation
+9869,9869,What is the difference between variance and covariance
+9870,9870,How do I do simple logistic regression in SPSS
+9871,9871,What is a simple logistic regression
+9872,9872,How do you write a logistic regression
+9873,9873,How do you calculate odds ratio in logistic regression SPSS
+9874,9874,What is information gap theory
+9875,9875,What condition is available in decision theory
+9876,9876,What is inference engine in expert system
+9877,9877,What is the role of inference engine in expert system
+9878,9878,Is PCA a type of factor analysis
+9879,9879,What is the input to the machine learning model
+9880,9880,What is a data point in machine learning
+9881,9881,What is decomposition analysis statistics
+9882,9882,What is classical decomposition
+9883,9883,How does the batch size affect the training process
+9884,9884,How do you write an association rule
+9885,9885,What is Association mining used for
+9886,9886,How are association rules mined large databases
+9887,9887,How do you show an operator is linear
+9888,9888,How do you find the norm of a linear functional function
+9889,9889,What is the value of 1 sigma
+9890,9890,What is the 3 sigma value
+9891,9891,What is a good sigma score
+9892,9892,What is an acceptable sigma level
+9893,9893,What is the difference between an algorithm and a model in machine learning
+9894,9894,What defines a random variable
+9895,9895,Is loss a function
+9896,9896,Why accuracy Cannot be used as a loss function
+9897,9897,Does decision trees require normalization
+9898,9898,Is it required to scale the data for the decision trees model Why
+9899,9899,Is it necessary to normalize data for random forest
+9900,9900,How is Bernoulli variance calculated
+9901,9901,How do you find the variance of a binomial distribution
+9902,9902,What is the difference between recursive and non recursive system
+9903,9903,What does non recursive mean
+9904,9904,What are non recursive procedures
+9905,9905,What is unbiased estimator of population variance
+9906,9906,How do you find the unbiased estimate of a population mean
+9907,9907,What is the estimated population variance
+9908,9908,What is the range of area under the ROC curve
+9909,9909,How do you choose the threshold on a ROC curve
+9910,9910,What can you conclude from a histogram
+9911,9911,What do you mean by sampling
+9912,9912,What is sampling in machine learning
+9913,9913,What is sampling and types of sampling
+9914,9914,What is sampling in big data
+9915,9915,How does gradient boosting classifier work
+9916,9916,Is gradient boosting supervised or unsupervised
+9917,9917,How do I get started with predictive analytics
+9918,9918,Where is the best place to use predictive analytics
+9919,9919,How do you know if its correlation or causation
+9920,9920,What is an example of correlation and causation
+9921,9921,What correlation establishes causation
+9922,9922,How can decision tree be improved
+9923,9923,How can we improve random forest
+9924,9924,What are the 2 types of learning in machine learning
+9925,9925,What is the expected value of a random variable quizlet
+9926,9926,What is convenience random sampling
+9927,9927,Is a random sample really better than a convenience sample
+9928,9928,What is the difference between a convenience sample and a representative sample
+9929,9929,Is convenience sampling biased
+9930,9930,Why Kalman filter is called a filter
+9931,9931,What is innovation in Kalman filter
+9932,9932,How do you know if its a two tailed test
+9933,9933,What is correlation in statistics example
+9934,9934,How is correlation calculated
+9935,9935,What is correlation in statistics formula
+9936,9936,What is the loss function used in logistic regression
+9937,9937,What is receptive field
+9938,9938,What is the purpose of the receptive field in a CNN
+9939,9939,Why is randomness important in statistics
+9940,9940,What is randomness in research
+9941,9941,Which clustering algorithms are used to cluster large data set
+9942,9942,What is meant by false positives
+9943,9943,Is false positive rate the same as specificity
+9944,9944,What is PCA feature extraction
+9945,9945,What is moving average forecasting
+9946,9946,What is moving average with example
+9947,9947,What data is needed for regression analysis
+9948,9948,Can I use linear regression for time series
+9949,9949,What is regression analysis when would you use it
+9950,9950,How do you convert discrete to continuous
+9951,9951,How do you make a data continuous
+9952,9952,Why Lstm is better than Arima
+9953,9953,How is AUC ROC calculated
+9954,9954,What is a log squared
+9955,9955,Why do we use log2
+9956,9956,What is log 2 to the base 10
+9957,9957,What are the different fields of artificial intelligence
+9958,9958,What are the careers in artificial intelligence
+9959,9959,How can you improve location accuracy
+9960,9960,Which of following is recursive system
+9961,9961,What is recursive discrete time system
+9962,9962,What makes multivariate analysis different from univariate analysis
+9963,9963,What is univariate and bivariate
+9964,9964,Is machine learning and neural networks the same thing
+9965,9965,What is the relationship between AI and machine learning
+9966,9966,How can predictive models be improved
+9967,9967,Why are duplicate meta descriptions bad
+9968,9968,Is AdaBoost an ensemble learning algorithm
+9969,9969,What is the opposite of disparate
+9970,9970,How are neural networks trained
+9971,9971,Does Q learning use value based or policy based iteration
+9972,9972,Is value iteration reinforcement learning
+9973,9973,What is Q learning in reinforcement learning
+9974,9974,What is validation in neural network
+9975,9975,What is sequential search in data structure
+9976,9976,What is selection in algorithm
+9977,9977,What is spatial correlation in image processing
+9978,9978,What does kappa value mean
+9979,9979,What is kappa value in confusion matrix
+9980,9980,What are linear operators
+9981,9981,Why artificial neural network is used
+9982,9982,What is an artificial neural network and for what types of problems can it be used
+9983,9983,What is the function of a neural network
+9984,9984,Why is Overfitting bad
+9985,9985,What is an activation function in neural network
+9986,9986,What is activation in machine learning
+9987,9987,What is activation in CNN
+9988,9988,Can SVM be used for image classification
+9989,9989,What is inverse of covariance matrix
+9990,9990,What is Covariation in statistics
+9991,9991,What does the covariance matrix tell you
+9992,9992,What is correlation and covariance in statistics
+9993,9993,What is frequent itemset
+9994,9994,How does Apriori algorithm find frequent Itemsets
+9995,9995,What is CNN gradient
+9996,9996,How do you calculate precision and recall for object detection
+9997,9997,What is a two way chi square test
+9998,9998,What is the difference between a chi square test of homogeneity and independence
+9999,9999,What is chi square test and its application
+10000,10000,What is ML inference
+10001,10001,What is edit distance problem
+10002,10002,What is string editing in DAA
+10003,10003,Is Gradient the same as correlation coefficient
+10004,10004,What is the relationship between slope and correlation
+10005,10005,Is 0.79 A strong correlation
+10006,10006,Why do we use stratified random sampling
+10007,10007,How do you use stratified sampling
+10008,10008,What is stratified sampling used to accurately estimate
+10009,10009,How does Decision Tree Work example
+10010,10010,How does the N armed bandit problem help with reinforcement learning
+10011,10011,What is contextual bandit
+10012,10012,Is a data visualization tool
+10013,10013,How do you identify machine learning opportunities
+10014,10014,How do you test a machine learning system
+10015,10015,What do you know about machine learning
+10016,10016,What is risk based algorithm
+10017,10017,How do you find the risk function
+10018,10018,What are the issues in machine learning
+10019,10019,What is mean by estimating
+10020,10020,What is Embeddings in NLP
+10021,10021,What are Embeddings in machine learning
+10022,10022,How word Embeddings are created
+10023,10023,Is Random Forest an ensemble
+10024,10024,Why random forest is considered as an ensemble approach
+10025,10025,Which method is used for creating an ensemble of models in random forest
+10026,10026,What is Bayesian modeling
+10027,10027,What is the meaning of Bayesian
+10028,10028,How will artificial intelligence affect the future
+10029,10029,How variance is calculated
+10030,10030,What is the symbol for variance in statistics
+10031,10031,Which test is used for variance
+10032,10032,What is difference between machine learning and data mining
+10033,10033,Is deep learning a branch of data mining
+10034,10034,Does data mining use machine learning
+10035,10035,What is receptive field CNN
+10036,10036,How does CNN calculate receptive fields
+10037,10037,How does the matrix work
+10038,10038,How do you reject the null hypothesis from Z test
+10039,10039,How do you find the z score and rejection region
+10040,10040,How do you interpret Fisher's exact test in SPSS
+10041,10041,What is local minima and global minima
+10042,10042,What is local minima in back propagation algorithm
+10043,10043,Which one is the application of many to one recurrent neural networks
+10044,10044,Why do we need federated learning
+10045,10045,What are the two types of ethical theories
+10046,10046,What is the difference between normative and descriptive ethics
+10047,10047,What is the difference between regression and classification machine learning algorithms
+10048,10048,How does Manova differ from Anova
+10049,10049,When would you use a two way Anova
+10050,10050,What is a regression effect
+10051,10051,What are the six examples of fallacy
+10052,10052,What is the property of representation of knowledge
+10053,10053,What are the techniques of knowledge representation
+10054,10054,What is term matrix and term matrix in NLP
+10055,10055,How do you find a normal score
+10056,10056,What is a good t score in statistics
+10057,10057,Which is best for binary classification
+10058,10058,What does binning mean in astrophotography
+10059,10059,What is relative frequency table in statistics
+10060,10060,Why is the standard deviation of Z scores 1
+10061,10061,What is the z score of 1
+10062,10062,How do you find the Z score with only the standard deviation
+10063,10063,What is data reduction techniques
+10064,10064,What is the example of data reduction algorithm
+10065,10065,Why are data reduction techniques applied on a given dataset
+10066,10066,What is the NLP used for
+10067,10067,Which of these are NLP engines
+10068,10068,What is difference between NLP and NLU
+10069,10069,How do you use the exponential decay model
+10070,10070,How do you find the exponential decay model
+10071,10071,How do you calculate decay rate
+10072,10072,What is the difference between mean and mean deviation
+10073,10073,How do you find the mean absolute deviation
+10074,10074,What is absolute variance
+10075,10075,Is Topic modeling unsupervised
+10076,10076,What are large datasets
+10077,10077,Is OCR deep learning
+10078,10078,How do you explain logistic regression for dummies
+10079,10079,What is binning method in data mining
+10080,10080,What are the types of binning techniques
+10081,10081,What is binning in machine learning
+10082,10082,Which is dependent variable
+10083,10083,When would you use a high pass filter
+10084,10084,What does a high pass filter do to an image
+10085,10085,What does a multivariate analysis show
+10086,10086,How do you describe population distribution in statistics
+10087,10087,What is the meaning of population distribution
+10088,10088,What are filters in deep learning
+10089,10089,How do I select filters on CNN
+10090,10090,How do I know what statistical test to use
+10091,10091,What kind of statistical test should I use to compare two groups
+10092,10092,How do I choose an appropriate statistical test in SPSS
+10093,10093,What is the explanatory variable quizlet
+10094,10094,What does response variable mean
+10095,10095,Is the explanatory variable dependent
+10096,10096,What is random signal analysis
+10097,10097,How do you calculate accuracy of object detection
+10098,10098,How is the formula for the sample variance different from that of the population variance
+10099,10099,Why the formulas for sample variance and population variance are different
+10100,10100,How do neural networks increase accuracy
+10101,10101,How does a neural network work example
+10102,10102,What is meant by K Nearest Neighbor algorithm
+10103,10103,Which variable would you use as the explanatory variable
+10104,10104,Which of the following best describes the term explanatory variable
+10105,10105,What is an explanatory variable quizlet
+10106,10106,How does a Gaussian process work
+10107,10107,What is Embeddings in Tensorflow
+10108,10108,What is embedding in CNN
+10109,10109,What are the advantage of neural network
+10110,10110,How do you find the probability from a frequency table
+10111,10111,What is training error
+10112,10112,What is the training error of the decision tree
+10113,10113,What is the type of data for the dependent variable in a logistic regression
+10114,10114,Is the dependent variable binary in logistic regression
+10115,10115,What types of independent variables can be examined in a logistic regression model
+10116,10116,Can you use categorical variables in logistic regression
+10117,10117,What is linear smoothing filter
+10118,10118,How do you define reward in reinforcement learning
+10119,10119,What is voting in machine learning
+10120,10120,How do you ensemble a machine learning model
+10121,10121,What is a matrix in linear algebra
+10122,10122,What does a matrix represent
+10123,10123,What is matrix used for
+10124,10124,How do you describe a matrix
+10125,10125,Why is Max pooling used
+10126,10126,What is pooling layer
+10127,10127,What does unimodal and bimodal mean
+10128,10128,What are examples of active learning
+10129,10129,What is active learning strategy
+10130,10130,What is an example of correlational research
+10131,10131,What is a univariate time series
+10132,10132,What is univariate and multivariate time series
+10133,10133,What are time series forecasting methods
+10134,10134,Is Knn a linear model
+10135,10135,Is K nearest neighbors a linear classifier or non linear
+10136,10136,What is the singularity theory
+10137,10137,Is maximizing probability same as minimizing perplexity
+10138,10138,What is batch size in Lstm
+10139,10139,What does an R squared value of 0.6 mean
+10140,10140,What is a good R squared value for linear regression
+10141,10141,What is another name for dimensional analysis
+10142,10142,Why is it called dimensional analysis
+10143,10143,What is dimensional analysis class 11
+10144,10144,What does lambda in statistics mean
+10145,10145,What to do if Box's M is significant
+10146,10146,What is a discriminant variable
+10147,10147,Which of the following are the assumptions of discriminant analysis
+10148,10148,What is scalar and vector with examples
+10149,10149,What is a general linear model Anova
+10150,10150,What is the difference between linear regression and general linear model
+10151,10151,How does a decision tree make decisions
+10152,10152,How do you make a decision tree model
+10153,10153,What is the difference between inductive and deductive reasoning quizlet
+10154,10154,How do I load Mnist data
+10155,10155,How do I load Mnist dataset in PyTorch
+10156,10156,Can bimodal data be normally distributed
+10157,10157,What does it mean when data is bimodal
+10158,10158,How do you transform data for equal variance
+10159,10159,What is clustering and their different types
+10160,10160,What is clustering and its types in data mining
+10161,10161,How do you evaluate naive Bayes classifier
+10162,10162,Why do naive Bayesian classifiers perform so well
+10163,10163,What is the naive assumption in a naive Bayes classifier
+10164,10164,Why is it important for a sampling distribution for sample means or sample proportions to be normal
+10165,10165,What does AUC mean in statistics
+10166,10166,What is a pattern in Machine Learning
+10167,10167,Is Kronecker delta an isotropic tensor
+10168,10168,What is the difference between Dirac delta and Kronecker delta
+10169,10169,Is Levi Civita a tensor
+10170,10170,What is Kronecker delta Orthonormality
+10171,10171,Which generation uses the concept of AI
+10172,10172,Who used the term artificial intelligence
+10173,10173,What is data visualization techniques
+10174,10174,What are the techniques of Visualisation
+10175,10175,What are the two basic types of data visualization
+10176,10176,What are the types of visualization
+10177,10177,How do you compare two datasets with different sample sizes
+10178,10178,How do you compare two groups
+10179,10179,How do I match two data sets in R
+10180,10180,What are the uses of algorithms
+10181,10181,What is algorithm and its importance
+10182,10182,Why do we use sampling distribution
+10183,10183,What is Gamma in Q learning
+10184,10184,How do we control variables
+10185,10185,Is AlphaGo a machine learning
+10186,10186,How does a multinomial distribution differ from a binomial distribution
+10187,10187,Is D DX a linear operator
+10188,10188,Are residuals uncorrelated
+10189,10189,How do we measure the efficiency of an algorithm
+10190,10190,What is the efficiency of an algorithm
+10191,10191,What are the features of an efficient algorithm
+10192,10192,Can mode be calculated for grouped data with unequal classes
+10193,10193,What is the difference between uniform and non uniform quantization
+10194,10194,What is uniform quantization process
+10195,10195,Why non uniform quantization is preferred
+10196,10196,What is non linear quantization
+10197,10197,Can we use KNN for image classification
+10198,10198,What is Knn in image processing
+10199,10199,What does sampling frame represent
+10200,10200,Why do we need a sampling frame
+10201,10201,Which sampling method requires a frame
+10202,10202,How do you convert a stationary to a non stationary time series
+10203,10203,What is the difference between H0 and Ha
+10204,10204,What is Synset in WordNet
+10205,10205,What is WordNet in Python
+10206,10206,Who invented WordNet
+10207,10207,How is sense defined in WordNet explain with example
+10208,10208,How is MMSE calculated
+10209,10209,Can the mean square error of a linear predictor be zero
+10210,10210,How is randomness measured
+10211,10211,How do you calculate the CDF of a uniform distribution
+10212,10212,How do you sample from a multivariate Gaussian
+10213,10213,How do you calculate class boundaries
+10214,10214,What are the class boundaries in statistics
+10215,10215,How do I know if my data is bimodal
+10216,10216,Which graph can show multimodal distribution
+10217,10217,Where is the mean in a bimodal distribution
+10218,10218,Why is sample proportion unbiased
+10219,10219,Is standard deviation a biased estimator
+10220,10220,What does RBF kernel do
+10221,10221,How do you use the empirical rule example
+10222,10222,Can you use the empirical rule for data distributions that are both normal and skewed
+10223,10223,Can the empirical rule be applied to any distribution
+10224,10224,Why does P value decrease as sample size increases
+10225,10225,Does sample size affect P value
+10226,10226,How does sample size affect probability
+10227,10227,What is Ber in networking
+10228,10228,How do you interpret Pearson correlation
+10229,10229,What does it mean for two random variables to be independent
+10230,10230,What does it mean if variables are independent
+10231,10231,What is generative deep learning
+10232,10232,Under which of the following conditions would you need to use the Fisher's exact test instead of the chi square test
+10233,10233,What is the test statistic for Fisher exact test
+10234,10234,What is the multiplication law in probability
+10235,10235,What is state of the art in machine learning
+10236,10236,What is a deep convolutional neural network
+10237,10237,How CNN works in deep learning
+10238,10238,What is a deep CNN
+10239,10239,When did Bayesian inference become Bayesian
+10240,10240,What is Bayes theorem and when can it be used
+10241,10241,Is PCA a clustering algorithm
+10242,10242,What type of machine learning is clustering
+10243,10243,What is a good score for the 11 plus
+10244,10244,Is the 11+ an IQ test
+10245,10245,What is the use of gamma distribution
+10246,10246,What does a gamma distribution model
+10247,10247,What is post processing in data mining
+10248,10248,What is the conjugate prior distribution of the hypergeometric model
+10249,10249,What happens to standard error when sample size doubles
+10250,10250,What factors affect standard error
+10251,10251,How does sample size affect normal distribution
+10252,10252,Is transfer learning supervised
+10253,10253,Are neural networks supervised or unsupervised
+10254,10254,What if independent variable is not significant
+10255,10255,What if control variables are not significant
+10256,10256,What does it mean when an interaction is not significant
+10257,10257,What is partition based clustering
+10258,10258,Which of the following algorithm is used for partitioning the cluster
+10259,10259,What are the partitioning methods
+10260,10260,How do you find the N in a binomial distribution
+10261,10261,How do you find the P and Q of a binomial distribution
+10262,10262,What does the R stand for in the binomial probability formula
+10263,10263,Which of these forms is known as modus Ponens
+10264,10264,What do you mean by expectation of a random variable
+10265,10265,What are expectations of a function of random variables
+10266,10266,What is supervised learning machine learning
+10267,10267,What is the advantage of unsupervised learning
+10268,10268,What does univariate mean in statistics
+10269,10269,What is univariate analysis SPSS
+10270,10270,How do you find the mean median and mode of a class interval
+10271,10271,When should you use mode median and mode
+10272,10272,How do you create a logistic model
+10273,10273,What is logistic function in math
+10274,10274,How moment of inertia is tensor
+10275,10275,What is moment of inertia class 11
+10276,10276,What is the difference between correlation and causation
+10277,10277,What is the difference between Class ABC IP addresses
+10278,10278,What is IP address and its classification
+10279,10279,How do you use a TensorFlow Tensorboard
+10280,10280,How do you view a Tensorboard
+10281,10281,How do you visualize a graph in Tensorboard
+10282,10282,Why is data collection Dangerous
+10283,10283,What are some pros and cons to data mining
+10284,10284,Is log a linear function
+10285,10285,What are the parts of box model and discuss each parts
+10286,10286,What does tensor mean
+10287,10287,Is LDA generative or discriminative
+10288,10288,How do you know if something is biased or unbiased
+10289,10289,Is gradient descent linear regression
+10290,10290,What is the meaning of quantized
+10291,10291,How do you reduce dimensionality of data
+10292,10292,What part of math is logarithms
+10293,10293,Which problems comes under classification
+10294,10294,What is classification and regression problem
+10295,10295,What is classification in neural network
+10296,10296,What is the purpose of at test
+10297,10297,Why would you use at test instead of Az test
+10298,10298,What is an example of at test
+10299,10299,Is genetic algorithm AI
+10300,10300,In what situations do we use nonparametric tests
+10301,10301,What are the advantages and disadvantages of using a nonparametric test
+10302,10302,Which of the following is a major difference between the binomial and the hypergeometric distributions
+10303,10303,What is the difference between binomial and Poisson distribution
+10304,10304,Which algorithm is used for learning in Perceptron multi layer neural network
+10305,10305,What is difference between interval and ratio data
+10306,10306,What is a ratio scale of measurement
+10307,10307,Is interval a scale of measurement
+10308,10308,What is the difference between cluster and stratified
+10309,10309,Why is it important to study residuals
+10310,10310,What tests is used to determine if two categorical variables are independent
+10311,10311,How do you find the correlation between two categorical variables in Python
+10312,10312,How do you determine an association between two variables
+10313,10313,What is not a discrete variable
+10314,10314,How do you report basic main effects
+10315,10315,What is H value in Kruskal Wallis test
+10316,10316,What is localization in machine learning
+10317,10317,What is image Localisation
+10318,10318,How is krippendorff Alpha calculated
+10319,10319,Which of the following method is used for multiclass classification
+10320,10320,How do you do multi class classification with random forest
+10321,10321,What is a layer in neural network
+10322,10322,Under what conditions is a t distribution used rather than a normal distribution
+10323,10323,When would you use the Z and T distribution for confidence intervals
+10324,10324,What does it mean for data to be paired
+10325,10325,How do you know if a test is paired
+10326,10326,How is data used in decision making
+10327,10327,What is the role of data
+10328,10328,How does data analysis support decision making
+10329,10329,What is the input to a neural network
+10330,10330,Why does the sample need to be representative of the population
+10331,10331,Is one way of ensuring that a sample is representative of the population
+10332,10332,Which of the following is an advantage of systematic sampling over random number sampling
+10333,10333,What is the mean and variance of Z
+10334,10334,How do you determine if a distribution is positively skewed
+10335,10335,Why Poisson distribution is positively skewed
+10336,10336,What does it mean when a histogram is positively skewed
+10337,10337,What is a tensor in ML
+10338,10338,What is ROC used for
+10339,10339,What is an ROC
+10340,10340,What does the ROC curve mean
+10341,10341,What is the difference between univariate and multivariate
+10342,10342,What is univariate regression
+10343,10343,What is multivariate regression used for
+10344,10344,What is the major difference between simple linear regression SLR and multiple linear regression MLR )
+10345,10345,What does the law of averages mean
+10346,10346,Who invented the law of large numbers
+10347,10347,Is a factorial Anova a two way Anova
+10348,10348,How do you do a factorial Anova
+10349,10349,What is one way Anova used for
+10350,10350,What does P value of 0.2 mean
+10351,10351,Is P value of 0.03 Significant
+10352,10352,How do you predict probability
+10353,10353,How do you calculate predicted probability in R
+10354,10354,What is the difference between K means and spectral clustering
+10355,10355,How do you use an F test
+10356,10356,Can you have clinical significance without statistical significance
+10357,10357,What is the difference between insignificant and non significant
+10358,10358,What is an uncorrelated subquery
+10359,10359,What does signal processing mean
+10360,10360,What is signal processing techniques
+10361,10361,Why do we use autocorrelation
+10362,10362,How do you prove a Markov chain is ergodic
+10363,10363,What is ergodic state
+10364,10364,How do I know if my Markov chain is irreducible
+10365,10365,What is the difference between DFT and FFT
+10366,10366,What is bootstrapped dataset
+10367,10367,What is descriptive statistics quizlet
+10368,10368,What are inferential statistics quizlet
+10369,10369,What is descriptive and inferential statistics PDF
+10370,10370,What is the relationship between the linear correlation coefficient r and the slope b1 of a regression line
+10371,10371,What is the relationship between the linear correlation coefficient r and the slope of a regression line
+10372,10372,What is the relationship between R and beta in a simple regression
+10373,10373,What is the relationship between correlation coefficient and coefficient of determination
+10374,10374,How do you find K in stats
+10375,10375,What is the smallest value of k in Chebyshev's theorem
+10376,10376,How do you use Chebyshev inequality
+10377,10377,How do you deploy deep learning models in production
+10378,10378,What are supervised learning problems
+10379,10379,Which type of problems can be solved by supervised learning
+10380,10380,What does log mean in statistics
+10381,10381,What is the difference between a data analyst and a statistician
+10382,10382,What is the difference between experimental and theoretical probability examples
+10383,10383,Why there is a difference between theoretical and experimental analysis
+10384,10384,How do you find the theoretical probability
+10385,10385,What is experimental probability formula
+10386,10386,What is linear operations
+10387,10387,What is a linear operator linear algebra
+10388,10388,What is prior knowledge in machine learning
+10389,10389,What is unsupervised learning features of groups
+10390,10390,What are the values that a Bernoulli variate can take
+10391,10391,How do you find the expected value of an independent random variable
+10392,10392,Is one way Anova univariate
+10393,10393,Why are logarithms useful in real life
+10394,10394,What is the difference between logarithmic and linear scale
+10395,10395,How do you do linear regression step by step
+10396,10396,How do you find an anomaly
+10397,10397,What is an anomaly in statistics
+10398,10398,What is the P value in Stata
+10399,10399,How do you find the p value in linear regression
+10400,10400,What should be the P value in regression
+10401,10401,Why is CNN's better suited for computer vision over neural networks
+10402,10402,Why convolutional neural network is better
+10403,10403,Is CNN Computer Vision
+10404,10404,Is NLP a machine learning algorithm
+10405,10405,Which library is used in NLP
+10406,10406,In which string algorithm hash function is used
+10407,10407,How do you find the p value in a Poisson distribution
+10408,10408,What symmetric means
+10409,10409,How do you plot a cumulative frequency distribution
+10410,10410,What do you plot on a cumulative frequency graph
+10411,10411,Which plot is required for frequency distribution
+10412,10412,How do you measure skewness
+10413,10413,What causes a skew in statistical terms
+10414,10414,When should I change my learning rate
+10415,10415,How do you find the standardized residual
+10416,10416,How do you find the mean of a residual
+10417,10417,What qualifies as an AI
+10418,10418,Is AI really AI
+10419,10419,What is my independent variable
+10420,10420,What are the applications of chi square test
+10421,10421,What is an agent based system
+10422,10422,What is the difference between system dynamics and agent based Modelling
+10423,10423,What is the meaning of parametric and non parametric
+10424,10424,What are the types of non parametric
+10425,10425,What are the different activation functions
+10426,10426,How is activation function calculated in neural network
+10427,10427,How do you choose loss function when training deep learning neural networks
+10428,10428,What is the starting point for null hypothesis significance testing
+10429,10429,What does the null hypothesis tell you
+10430,10430,What does it mean if your test result is statistically significant
+10431,10431,How is sample standard deviation different from population
+10432,10432,Why do we use kernel trick for SVM
+10433,10433,What is the difference between Z and T
+10434,10434,Which of the following is a fundamental difference between the T and Z statistic
+10435,10435,What is an advantage of T scores over Z scores quizlet
+10436,10436,What does adjusted R squared tell us
+10437,10437,What is a good adjusted R squared value
+10438,10438,What is a linear decision boundary
+10439,10439,What is the main difference between linear and quadratic discriminant analysis LDA and QDA )
+10440,10440,What is analysis of variance
+10441,10441,Where is Poisson distribution used
+10442,10442,What are time series forecasting techniques
+10443,10443,What are different forecasting techniques
+10444,10444,What is single layer Perceptron
+10445,10445,What is Multilayer Perceptron model
+10446,10446,What is single layer Perceptron model what is its limitation
+10447,10447,What is the difference between exponential growth and logarithmic growth
+10448,10448,What is logarithmic increment
+10449,10449,What does logarithmic scale tell you
+10450,10450,How do you tell if a logarithmic function is increasing or decreasing
+10451,10451,What is data preparation in machine learning
+10452,10452,How do you prepare the data for the ML model
+10453,10453,What are the steps that should be taken for data preparation
+10454,10454,Is SVM an algorithm
+10455,10455,How do you calculate convolution output
+10456,10456,What is the output of convolution
+10457,10457,How many support vectors are there in SVM
+10458,10458,How do you analyze stratified data
+10459,10459,How does stratified random sampling work
+10460,10460,What type of data is categorical
+10461,10461,How do you determine if it is a probability distribution
+10462,10462,Are probability distributions normal
+10463,10463,What is latent semantic analysis used for
+10464,10464,What is LSA in machine learning
+10465,10465,Can a box plot have negative numbers
+10466,10466,What does it mean if a Boxplot is negatively skewed
+10467,10467,What Cannot be determined from a Boxplot
+10468,10468,Is the uniform distribution discrete or continuous
+10469,10469,What does it mean to interpolate data
+10470,10470,What does bivariate mean *
+10471,10471,What is the difference between a stratified sample and a quota sample
+10472,10472,What is variance in simple words
+10473,10473,How do you calculate the variance
+10474,10474,Is r squared the same as R
+10475,10475,What does R and R Squared mean in statistics
+10476,10476,Should I report R or R Squared
+10477,10477,Whats a good R squared value
+10478,10478,How do you choose K in K means clustering
+10479,10479,What is the elbow method for choosing value of K
+10480,10480,How do you identify a binomial
+10481,10481,What are the assumptions of one way Anova
+10482,10482,What are the assumptions of a two way Anova
+10483,10483,What is a factorial Anova
+10484,10484,What are the assumptions of between subjects analysis of variance
+10485,10485,What are classification rules in data mining
+10486,10486,What is classifier in data mining
+10487,10487,What is Porter Stemmer in NLP
+10488,10488,What is generalization of a neural network model
+10489,10489,What is generalization in machine learning
+10490,10490,When was chaos theory discovered
+10491,10491,What is the chaos theory equation
+10492,10492,Do dependent variables need to be normally distributed
+10493,10493,Is normality required for regression
+10494,10494,How do you debug neural networks
+10495,10495,How can I improve my deep learning model
+10496,10496,How do you test a deep learning model
+10497,10497,How linear regression is used in prediction
+10498,10498,When should you use linear regression
+10499,10499,Why MSE is not used in logistic regression
+10500,10500,What's wrong with mean squared error
+10501,10501,How good is Scikit
+10502,10502,When would you use a binomial distribution
+10503,10503,What would be the advantage of adding additional predictor variables into our regression model
+10504,10504,How do you find multiple correlations
+10505,10505,How many variables are in a correlation
+10506,10506,What is lambda in elastic net
+10507,10507,What is model loss
+10508,10508,What is function approximation in neural network
+10509,10509,Which neural network can approximate any continuous function
+10510,10510,Can neural networks approximate discontinuous functions
+10511,10511,Can neural networks extrapolate
+10512,10512,How do you run a logistic regression in R
+10513,10513,How is logistic regression fit
+10514,10514,How do you improve the accuracy of a logistic regression model in R
+10515,10515,How do you determine if a function is a probability density function
+10516,10516,What are the conditions for a function to be a probability mass function
+10517,10517,What are the three requirements for this to be a probability distribution
+10518,10518,How do you speed up gradient descent
+10519,10519,What is beta distribution used for
+10520,10520,What are the two types of forecasting
+10521,10521,How can spectral resolution be improved
+10522,10522,How do you find frequency resolution
+10523,10523,What is the frequency resolution of FFT
+10524,10524,What does FFT do
+10525,10525,What is normalized error
+10526,10526,How do you Normalise an equation
+10527,10527,What are the positives of robots
+10528,10528,Can random variables be negative
+10529,10529,What is clustering in big data
+10530,10530,What is the effect of choosing a biased sample
+10531,10531,What is bias in survey sampling
+10532,10532,How do you overcome sampling bias
+10533,10533,Is bias a sampling error
+10534,10534,What are the signs of Delta H and Delta S
+10535,10535,What is Delta G Delta H and Delta S
+10536,10536,What is the cause of outliers
+10537,10537,How might you determine outliers in the data
+10538,10538,How do you remove outliers from data
+10539,10539,What do you do when data is skewed right
+10540,10540,How can we avoid skewness in data
+10541,10541,When data is skewed to the right the mean is
+10542,10542,What is the goal of neural network
+10543,10543,What network is RNN
+10544,10544,What is the difference between naive Bayes and a Bayes Theorem
+10545,10545,Is naive Bayes Bayesian
+10546,10546,Why is naïve Bayes called naïve
+10547,10547,Why would we want to use the normal approximation to the binomial instead of just using the binomial distribution
+10548,10548,How does Bayesian analysis work
+10549,10549,What does multivariate analysis tell you
+10550,10550,What is a good margin of error for a survey
+10551,10551,What happens in clustering
+10552,10552,How do you find the variance of a regression coefficient
+10553,10553,What is variance in regression
+10554,10554,How do you find the regression model
+10555,10555,What is hierarchical modeling
+10556,10556,What is reverse conditional probability
+10557,10557,How do you flip conditional probability
+10558,10558,How do you find inverse probability
+10559,10559,What is conditional probability formula
+10560,10560,Is linear regression continuous
+10561,10561,What is BFS and DFS used for
+10562,10562,Why is DFS used
+10563,10563,What is an example of descriptive analytics
+10564,10564,What is meant by descriptive analytics
+10565,10565,What is descriptive analytics used for
+10566,10566,What is descriptive analytics in big data
+10567,10567,Can gradient boosting be used for classification
+10568,10568,How do you increase a gradient boosting classifier
+10569,10569,What is the use of dataset
+10570,10570,What do you mean by dataset
+10571,10571,How do I load a dataset in TensorFlow
+10572,10572,What is frequency in statistics with example
+10573,10573,What is Ma process
+10574,10574,What are the different types of test statistics
+10575,10575,What is meant by statistical test
+10576,10576,What are the requirements for a distribution to be a probability distribution
+10577,10577,How do shrinkage methods help to the bias variance tradeoff
+10578,10578,Which of the following learning rule is used in Adaline training
+10579,10579,How is machine learning model accuracy
+10580,10580,What are the assumptions required for linear regression
+10581,10581,Which loss function is used while training Autoencoder
+10582,10582,What activation function does Autoencoder use
+10583,10583,What is the loss function in a nn
+10584,10584,What is bias in a neural network
+10585,10585,What is interval scale
+10586,10586,How do you do interval scales
+10587,10587,What is an activation value in neural network
+10588,10588,What is difference between deep learning and neural networks
+10589,10589,Do we need feature extraction in deep learning
+10590,10590,What are features in deep learning
+10591,10591,How does batch normalization works
+10592,10592,How many peaks does a bimodal distribution have
+10593,10593,What is a good residual sum of squares
+10594,10594,What does SSE mean in statistics
+10595,10595,What does it mean if a sample is biased
+10596,10596,What is biased and unbiased in statistics
+10597,10597,What is the average score on Wechsler IQ test
+10598,10598,Do I need to standardize dependent variable
+10599,10599,What is the purpose of standardizing a variable
+10600,10600,What is the difference between Collinearity and Multicollinearity
+10601,10601,What is discrete data
+10602,10602,How do you know if data is discrete or continuous
+10603,10603,What is an example of a discrete data metric
+10604,10604,How does machine learning deal with unbalanced data
+10605,10605,How do unbalanced classes affect a machine learning model
+10606,10606,What is data imbalance in machine learning
+10607,10607,Why do we adjust p values
+10608,10608,How are rules generated from decision trees
+10609,10609,What is unordered rule list
+10610,10610,What is the formula for the standard error of estimate
+10611,10611,What does the standard error of measurement indicate
+10612,10612,How do you know if its unimodal or bimodal
+10613,10613,What is the unimodal and symmetric curve called
+10614,10614,How do you calculate the Heisenberg Uncertainty Principle
+10615,10615,How do I calculate uncertainty
+10616,10616,What is the difference between classification and regression in machine learning
+10617,10617,Why entropy is a property
+10618,10618,What kind of property is entropy
+10619,10619,What is a pseudo first order reaction
+10620,10620,What is the difference between 1st and zero order rate reactions
+10621,10621,What is the mean of the sampling distribution of the mean
+10622,10622,What is the mean of the sampling distribution of the sample mean quizlet
+10623,10623,What are the properties of the sampling distribution of sample mean
+10624,10624,What's an entropy
+10625,10625,What are the two types of growth
+10626,10626,What are the growth curves
+10627,10627,Is SVM A linear regression
+10628,10628,What is the difference between Anova and chi square
+10629,10629,What is the formula of mean median mode
+10630,10630,What is the imperial relationship between mean median and mode
+10631,10631,What is linear and nonlinear dataset
+10632,10632,Why is smoothing useful when applying naive Bayes *
+10633,10633,How do you optimize naive Bayes
+10634,10634,What is the difference between NLU and NLG
+10635,10635,How do you define your clustering is good clustering
+10636,10636,What is the meaning of stochastic process
+10637,10637,What is a stochastic process in time series
+10638,10638,What are the conditions necessary for second order low pass filter
+10639,10639,What is 2nd order high pass filter
+10640,10640,What is the difference between first order and second order filters
+10641,10641,What is the main difference between the Chi Square and the F distribution
+10642,10642,What is the difference between F test and chi square test
+10643,10643,What is the relationship between T and F
+10644,10644,How do you calculate risk and return
+10645,10645,How do you measure risk management
+10646,10646,What is Kappa in confusion matrix
+10647,10647,What is Kappa in random forest
+10648,10648,Which is the explanatory variable
+10649,10649,Which variable is the response variable
+10650,10650,What is predictive mining
+10651,10651,How do you find lambda
+10652,10652,How do you interpret regression coefficients
+10653,10653,What is the use of regression coefficient
+10654,10654,What does coefficient mean
+10655,10655,Is Perceptron generative or discriminative
+10656,10656,Which mask is used for line detection
+10657,10657,What's the difference between mean and weighted mean
+10658,10658,Where is decision tree used
+10659,10659,What are the main uses of decision trees in systems analysis
+10660,10660,What is word Lemmatization
+10661,10661,Why does an SVM model often perform better than a logistic regression model
+10662,10662,What is the difference between logistic regression and SVM
+10663,10663,Is logistic regression sensitive to outliers
+10664,10664,What is the equation for a normal distribution
+10665,10665,How do you find the area of a bell curve
+10666,10666,How do you calculate ACF in a time series
+10667,10667,How is autocorrelation calculated
+10668,10668,How do you find the mean when given the frequency
+10669,10669,How do you find the mean and median from a frequency table
+10670,10670,What is the difference between a skewed distribution and a normal distribution
+10671,10671,How do you determine if a skew is positive or negative
+10672,10672,What is noise in machine learning
+10673,10673,What is noise in deep learning
+10674,10674,What is noise injection
+10675,10675,How do you find the percentile of a distribution
+10676,10676,What is the percentile of a normal distribution
+10677,10677,What is the 80th percentile of a normal distribution
+10678,10678,What is planning in AI
+10679,10679,What is confidence interval in regression
+10680,10680,What is confidence interval and how is it calculated
+10681,10681,What is the confidence interval approach
+10682,10682,What is unigram and bigram
+10683,10683,What is unigram model
+10684,10684,Can Random Forest take categorical variables
+10685,10685,Can random forest handle character variables
+10686,10686,How do you check for normal distribution in statistics
+10687,10687,What does deep dream mean
+10688,10688,What is robust variance
+10689,10689,How do you interpret a Type 2 error
+10690,10690,Why true AI is impossible
+10691,10691,How do you find the derivative of a function with two variables
+10692,10692,How do you differentiate an equation with both sides
+10693,10693,What is vgg19
+10694,10694,Which network has the highest accuracy on ImageNet dataset
+10695,10695,How do you cluster analysis
+10696,10696,Is naive Bayes regression
+10697,10697,Is naive Bayes a linear model
+10698,10698,How is systematic sampling done
+10699,10699,What are frames in artificial intelligence How do they differ from semantic nets
+10700,10700,How are semantic networks arranged
+10701,10701,How does analysis of variance work
+10702,10702,What are two common hash functions choose two
+10703,10703,What are the different types of hash functions
+10704,10704,What is the function of a hash
+10705,10705,What is real time processing in technology
+10706,10706,What is considered real time
+10707,10707,What are the rules for dimensional analysis
+10708,10708,What are the limitations of dimensional analysis
+10709,10709,What is the use of Optimizer
+10710,10710,What is the difference between a sample and a population quizlet
+10711,10711,Why do we use decision trees
+10712,10712,What is the V function
+10713,10713,What is a value function in reinforcement learning
+10714,10714,What is the difference between empirical theoretical and subjective probability
+10715,10715,When the P value is used for hypothesis testing the null hypothesis is rejected if
+10716,10716,What does the P value tell you about the null hypothesis
+10717,10717,Does statistically significant means reject null hypothesis
+10718,10718,Can categorical variables be normally distributed
+10719,10719,Does categorical data have a distribution
+10720,10720,What does the Q mean in statistics
+10721,10721,In which of the following applications can we use deep learning to solve the problem
+10722,10722,Which of the following libraries uses computations graph of deep learning
+10723,10723,Which of the following is are the reasons for the recent take off of deep learning
+10724,10724,Is NLP a data mining
+10725,10725,What is a null and alternative hypothesis
+10726,10726,How do you choose a null hypothesis
+10727,10727,Is cluster sampling good
+10728,10728,Which type of learning is used in the classification process
+10729,10729,Why do we do multivariate analysis
+10730,10730,What is drop out in CNN
+10731,10731,What is the greedy choice property
+10732,10732,What is Prewitt edge detection
+10733,10733,What does Sobel filter do
+10734,10734,What is considered a good variance
+10735,10735,What is upper boundary in statistics
+10736,10736,How do you find the LCB in statistics
+10737,10737,How do you find the lower class limit in statistics
+10738,10738,Why is data positively skewed
+10739,10739,Why validation loss is less than training loss
+10740,10740,What are some real life examples of probability
+10741,10741,Why is mean of Z scores 0
+10742,10742,What is the mean and standard deviation of a Z score
+10743,10743,What is the mean and standard deviation of the distribution of z scores will this be true for any distribution of z scores
+10744,10744,How many observations are in the training set
+10745,10745,What are the requirements for machine learning
+10746,10746,What are observations in machine learning
+10747,10747,What is the meaning of geometric mean
+10748,10748,How do you do image processing
+10749,10749,How do you find the expected value of a decision tree
+10750,10750,How do you optimize decision trees
+10751,10751,What does T distribution tell us
+10752,10752,What is the determinant of a matrix used for
+10753,10753,What does the value of the determinant tell you
+10754,10754,What is the use of determinants in real life
+10755,10755,Is the mean an unbiased estimator
+10756,10756,Is Standard Deviation an unbiased estimator
+10757,10757,What are the disadvantages of decision tree
+10758,10758,Under what circumstances would you recommend a probability sample
+10759,10759,What is Turing machine in TOC
+10760,10760,What are different types of Turing machine
+10761,10761,How do you do permutation test
+10762,10762,Is probability sampling biased or unbiased
+10763,10763,Which sampling method is unbiased
+10764,10764,Is TensorFlow a python
+10765,10765,What does uncorrelated mean
+10766,10766,Can two independent variables be correlated
+10767,10767,What is the mean of negative binomial distribution
+10768,10768,What is the difference between NLP and NLG
+10769,10769,How do you interpret t test results in Stata
+10770,10770,What is model interpretation
+10771,10771,What are multivariate statistical techniques
+10772,10772,Do you think that the bagging procedure can be useful to improve the performance of linear regression
+10773,10773,Should I learn algorithms and data structures first
+10774,10774,What are different types of agents
+10775,10775,What are agents in AI
+10776,10776,What is class balancing in machine learning
+10777,10777,How do you solve class imbalance problems
+10778,10778,Can a normal approximation be used for a sampling distribution of sample means
+10779,10779,Why is normal distribution used in sampling distributions
+10780,10780,What do you need for a binomial distribution
+10781,10781,How do you interpret the standard error of estimate
+10782,10782,What is standard error of the estimate in Linear Regression
+10783,10783,What is a good standard error of estimate
+10784,10784,How much standard error is acceptable in regression
+10785,10785,What is training in neural network
+10786,10786,What is training data in AI
+10787,10787,What is the difference between training and testing data
+10788,10788,How do you calculate conditional distribution
+10789,10789,How do you find conditional probability
+10790,10790,What is meant by conditional distribution
+10791,10791,Is SVM an ensemble method
+10792,10792,Which of the following algorithm is not an example of an ensemble method
+10793,10793,What is the difference between correlation and regression analysis
+10794,10794,Is there any relation between correlation and regression
+10795,10795,What is the difference between content based filtering and collaborative filtering for recommender systems
+10796,10796,How do you combine classes in unsupervised classification
+10797,10797,What does it mean to log transform data
+10798,10798,Why do we transform data
+10799,10799,When should data be log transformed
+10800,10800,What is the relationship between the linear correlation coefficient r and the slope b1
+10801,10801,What is the function used to generate a random number based on normal distribution
+10802,10802,How do you find statistical uncertainty
+10803,10803,What is the formula for uncertainty
+10804,10804,What is uncertainty in statistics
+10805,10805,What is uncertainty and how is it measured
+10806,10806,What is the best point estimate for the population variance
+10807,10807,What is a residual for a multiple regression model
+10808,10808,What is normal PP plot of regression standardized residual
+10809,10809,How do you know if something is a Poisson distribution
+10810,10810,Which clustering algorithm uses distance matrix
+10811,10811,What is Distance Matrix API
+10812,10812,How do you size a neural network
+10813,10813,What is contingency table in statistics
+10814,10814,What is the meaning of confounding in statistics
+10815,10815,What is a confounding variable AP stats
+10816,10816,How do you detect outliers
+10817,10817,Why do we need outlier detection
+10818,10818,Why would you include an outlier
+10819,10819,What is the definition of median in statistics
+10820,10820,Why is median used in statistics
+10821,10821,What is object detection in image processing
+10822,10822,How does CNN choose number of filters
+10823,10823,How does CNN algorithm work
+10824,10824,How do you find the mode of a distribution
+10825,10825,What is the mode of distribution
+10826,10826,How do you find the mode of data
+10827,10827,What does the null hypothesis predict
+10828,10828,What is the relationship between the null and alternative hypothesis
+10829,10829,What are unstructured data sources
+10830,10830,Is JSON unstructured data
+10831,10831,Is CSV unstructured data
+10832,10832,How do bins work in histograms
+10833,10833,What does it mean to control for a variable in a regression
+10834,10834,What is meant by random variable in probability
+10835,10835,How do you state a random variable
+10836,10836,How do you find the population variance
+10837,10837,Why is population variance important
+10838,10838,What is binary logit model
+10839,10839,What is observation inference
+10840,10840,What is the difference between an observation inference and a hypothesis
+10841,10841,How do you use Spearman rank correlation
+10842,10842,Why do we use Spearman correlation coefficient
+10843,10843,How do you choose between Pearson and Spearman correlation
+10844,10844,What does the R squared value tell you
+10845,10845,What does an R2 value of 0.05 mean
+10846,10846,Why should I use LVM
+10847,10847,What is LVM partitioning
+10848,10848,What is an example of an agent
+10849,10849,What does an agent do
+10850,10850,How do you find the sampling frequency of a signal
+10851,10851,How do you calculate the frequency of a signal
+10852,10852,How do you find the frequency of a Nyquist signal
+10853,10853,How does sampling rate affect frequency
+10854,10854,When should you use Anova instead of t tests
+10855,10855,When can you use a two way analysis of variance
+10856,10856,What assumptions are required for conducting analysis of variance
+10857,10857,What is mean by quartile deviation
+10858,10858,What is standard and quartile deviation
+10859,10859,What is a word for learning quickly
+10860,10860,What test is used to examine normality in our data distribution
+10861,10861,What is McNemar's test used for
+10862,10862,What is McNemar's chi square test
+10863,10863,What is McNemar's test P value
+10864,10864,What does a 0.05 level of significance mean
+10865,10865,What is an example of non response bias
+10866,10866,What is a non response bias in statistics
+10867,10867,What is non response bias in market research
+10868,10868,What is the difference between a response and a non response bias
+10869,10869,What is specificity in confusion matrix
+10870,10870,How do you calculate sensitivity and specificity
+10871,10871,What does randomization mean
+10872,10872,What is an example of randomization
+10873,10873,What is randomization in experimental research
+10874,10874,What is the reason that MSE is preferred over Mae for linear regression problem
+10875,10875,What is a good root mean square error
+10876,10876,What is the purpose of Kruskal Wallis test
+10877,10877,Is UTA a villain
+10878,10878,Who betrayed kaneki
+10879,10879,How do you find the area under a ROC curve
+10880,10880,What is intersection and union
+10881,10881,Is logistic regression mainly used for regression
+10882,10882,What are data errors
+10883,10883,What are the types of data errors
+10884,10884,How do you calculate error estimate
+10885,10885,Why is random forest better than bagging
+10886,10886,What is the use of interpolation in angular
+10887,10887,What is string in angular
+10888,10888,What is difference between property binding and interpolation
+10889,10889,What is the numeric data type
+10890,10890,What is an example of numeric
+10891,10891,What is numeric and non numeric data
+10892,10892,What is machine learning advantages and disadvantages
+10893,10893,What are the limitations of machine learning
+10894,10894,How do you deploy a TensorFlow model
+10895,10895,How do you deploy machine learning models with TensorFlow
+10896,10896,How would you train your own object detection with TensorFlow
+10897,10897,What is a sampling unit
+10898,10898,What is audit sampling and why sample is taken
+10899,10899,What deals with audit sampling
+10900,10900,What is a good sample size for audit
+10901,10901,How do you interpret kappa scores
+10902,10902,What is ratio of training validation and testing is advised
+10903,10903,How do you do partial least squares regression
+10904,10904,What is meant by spreading activation
+10905,10905,What does the semantic network model imply for the structure of long term memory
+10906,10906,What is variance used for in real life
+10907,10907,What are some practical uses of knowing variation
+10908,10908,What can variance tell us
+10909,10909,How is standard deviation used in real life
+10910,10910,What is a class limit
+10911,10911,What is class and class interval
+10912,10912,What is adaptive instruction
+10913,10913,What are adaptive teaching methods
+10914,10914,What is the goal of adaptive instruction
+10915,10915,What is difference between tensor and matrix
+10916,10916,What is vector and tensor analysis
+10917,10917,What are the characteristics of the F distribution
+10918,10918,What is the purpose of the F distribution
+10919,10919,How do you know if a function is Eigenfunction
+10920,10920,Is a linear combination of eigenvectors an eigenvector
+10921,10921,What are eigenvalues and eigenfunctions
+10922,10922,How do you show eigenfunctions are orthogonal
+10923,10923,What is cosine similarity algorithm
+10924,10924,What does the P value mean in context
+10925,10925,What is empirical error
+10926,10926,How is generalization error calculated
+10927,10927,What is generalizability in machine learning
+10928,10928,What is an advantage of L1 regularization over L2 regularization
+10929,10929,What is L1 norm minimization
+10930,10930,What is a vector in ML
+10931,10931,What is vector in neural network
+10932,10932,Why is IID important in machine learning
+10933,10933,What is IID assumption
+10934,10934,What is latent variable in statistics
+10935,10935,How is AI related to neural networks
+10936,10936,How can artificial neural network improve decision making give example
+10937,10937,How do you find the likelihood ratio
+10938,10938,How do you find the expected ratio in a chi square test
+10939,10939,What is self training machine learning
+10940,10940,What does a correlation coefficient of 0.2 mean
+10941,10941,What does it mean if distribution is skewed
+10942,10942,Is the distribution skewed or normal What does that mean is it a good skew
+10943,10943,Can a normal distribution curve be skewed
+10944,10944,What can logistic regression be used for
+10945,10945,When would you not use logistic regression
+10946,10946,How do you find the mean of a Gaussian distribution
+10947,10947,What does it mean to be Gaussian
+10948,10948,What is the mean and SD of a Z distribution
+10949,10949,What are advantages of task scheduling algorithm
+10950,10950,What are the advantages and disadvantages of FCFS
+10951,10951,Which scheduling algorithm is best and why
+10952,10952,What is a disadvantage of the FCFS scheduling algorithm
+10953,10953,What kind of sample lets you generalize your findings to a larger population
+10954,10954,What is convenience sampling according to
+10955,10955,What is the advantage of convenience sampling
+10956,10956,What is a binary model
+10957,10957,What is binary response model
+10958,10958,What is a binary logit model
+10959,10959,What is a discrete choice model
+10960,10960,How do you validate a clustering algorithm
+10961,10961,How is cluster accuracy measured
+10962,10962,What is an example of semi structured data
+10963,10963,What is structured semi structured data
+10964,10964,What is structured semi structured unstructured data give some examples to explain them
+10965,10965,Why do we need image processing
+10966,10966,What is image processing in GIS
+10967,10967,What makes a bootstrap sample different from a random sample
+10968,10968,Is the set N Z countable
+10969,10969,Which tool is popular to handle unstructured data type
+10970,10970,How is unstructured data structured
+10971,10971,What are logarithms used for in real life
+10972,10972,How do you find the difference between two probability distributions
+10973,10973,How do you compare two frequency distributions
+10974,10974,How do you do dimensional analysis stoichiometry
+10975,10975,How can dimensional analysis help plan a stoichiometric pathway
+10976,10976,How do you use stoichiometry
+10977,10977,What is stoichiometric analysis
+10978,10978,How does chaos theory work
+10979,10979,What problems can machine learning solve
+10980,10980,What are the interview questions for machine learning
+10981,10981,What questions can data science answer
+10982,10982,How do you deal with correlated variables
+10983,10983,What happens if two variables are correlated
+10984,10984,What are predictor and target variables in machine learning
+10985,10985,What is the difference between random sampling and systematic sampling
+10986,10986,What is the difference between backup and system image
+10987,10987,What is image backup
+10988,10988,What is the dependent variable in linear regression analysis
+10989,10989,Which is the dependent variable
+10990,10990,What does the dependent variable go on
+10991,10991,What is mean by deep learning
+10992,10992,What is ML and its types
+10993,10993,What is the difference between bivariate data and univariate data
+10994,10994,What is the difference between univariate data and bivariate data chegg
+10995,10995,How do you find probability using Factorials
+10996,10996,How do you find the number of probability
+10997,10997,What is conditional probability in machine learning
+10998,10998,What is a kernel in deep learning
+10999,10999,What are channels and kernels
+11000,11000,What is meant by kernel in image processing
+11001,11001,What is meant by unlabeled data
+11002,11002,What is the difference between labeled and unlabeled data
+11003,11003,What does convergence in probability mean
+11004,11004,What is serial correlation
+11005,11005,What is serial correlation LM test
+11006,11006,Is binomial distribution a normal distribution
+11007,11007,How do you use the critical value approach
+11008,11008,What does the F test tell you
+11009,11009,What's the difference between t test and F test
+11010,11010,What is the purpose of performing the overall F test select one
+11011,11011,What does path coefficient mean
+11012,11012,How do you find the marginal probability density function
+11013,11013,In which neural network architecture does weight sharing occur
+11014,11014,Which network has concept of weight sharing
+11015,11015,What are the most popular neural network architectures
+11016,11016,How does Minimax algorithm work
+11017,11017,Why is it important in the Minimax algorithm to generate the values of the evaluation function bottom up rather than calculating them for each node when the node is visited first top down )? Minimax also works top down but the bottom up method is
+11018,11018,What is frame population
+11019,11019,Can sampling frame be larger than target population
+11020,11020,Does machine learning require statistics
+11021,11021,What are the general limitations of the backpropagation rule
+11022,11022,What is non random variable
+11023,11023,What is considered a random variable
+11024,11024,Why do we use estimation
+11025,11025,What is statistical estimate
+11026,11026,How do you estimate in statistics
+11027,11027,What is dense network
+11028,11028,Is Hidden Markov model supervised or unsupervised
+11029,11029,How do you know if outcomes are equally likely
+11030,11030,What are the advantages and disadvantages of stratified sampling
+11031,11031,What are the disadvantages of cluster sampling
+11032,11032,What are the different techniques of data mining
+11033,11033,What is data mining techniques PDF
+11034,11034,How are ROC curves useful in model selection
+11035,11035,What is the random variable in this experiment
+11036,11036,What is an example of a binomial
+11037,11037,How do you identify a binomial distribution
+11038,11038,Is rolling a dice a binomial distribution
+11039,11039,Is linear regression a classification algorithm
+11040,11040,What is linear regression algorithm
+11041,11041,How do you deal with missing values
+11042,11042,How do you deal with missing data in data analysis
+11043,11043,How do you deal with missing values in data science
+11044,11044,What are the issue arising when the assumptions of a regression model are violated
+11045,11045,How do you read sensitivity and specificity
+11046,11046,Why is Lstm used
+11047,11047,What problems can be solved by artificial intelligence
+11048,11048,What problems can robots solve
+11049,11049,How does a quasi experiment differ from a true experiment
+11050,11050,How do you explain likelihood
+11051,11051,How do I choose a logistic regression model
+11052,11052,How do you choose a regression method
+11053,11053,What does logistic regression predict
+11054,11054,What is Matlab in image processing
+11055,11055,What are the applications of image processing
+11056,11056,How do you run a survival analysis in R
+11057,11057,How do you set up data for a survival analysis
+11058,11058,What is meant by selection bias
+11059,11059,Why is selection bias a problem
+11060,11060,What is logit and probit
+11061,11061,What is RBF in neural network
+11062,11062,What is reinforcement machine learning
+11063,11063,What are prerequisites for deep learning
+11064,11064,What is the random variable of interest
+11065,11065,What does it mean when a cost function is non convex
+11066,11066,How do you use thresholds in ImageJ
+11067,11067,What is U and V in SVD
+11068,11068,Which of the following assumptions are not required by the LR logistic regression )
+11069,11069,What is the XOR problem
+11070,11070,What are the problems that can be solved with perceptrons
+11071,11071,What is the difference between linear regression and time series forecasting
+11072,11072,Is linear regression a time series model
+11073,11073,Can regression be used for categorical variables
+11074,11074,What is meant by marginal distribution
+11075,11075,How is AI developed
+11076,11076,How is AI improving our lives
+11077,11077,Do you think it is possible to combine time series and cross sectional data
+11078,11078,What is the variance of the distribution of sample means
+11079,11079,What is the variance distribution
+11080,11080,What is the distribution of the sample standard deviation
+11081,11081,What is the sampling distribution of the sample proportion
+11082,11082,What is a hierarchical linear regression
+11083,11083,What does standardized score mean in statistics
+11084,11084,What exactly is an eigenvalue
+11085,11085,What is eigenvalue in layman's terms
+11086,11086,How do you explain eigenvalues and eigenvectors
+11087,11087,What does it mean to be an eigenvector
+11088,11088,How do you find the least squares line
+11089,11089,What is the difference between standard deviation and interquartile range
+11090,11090,Can't ridge regression perform variable selection
+11091,11091,Can ridge regression be used for feature selection
+11092,11092,Does deep learning need labeled data
+11093,11093,What are labels in deep learning
+11094,11094,Is an exponential probability distribution continuous distribution of discrete distribution
+11095,11095,How do I report the results of Fisher's exact test
+11096,11096,What is bootstrapping confidence interval
+11097,11097,How does bootstrap calculate confidence intervals in R
+11098,11098,How is bootstrap calculated
+11099,11099,How do you interpret survival curves
+11100,11100,How do you read Kaplan Meier curves
+11101,11101,How do you analyze survival data
+11102,11102,What is the difference between a normal t test and an F test
+11103,11103,What is NAT and how does it work
+11104,11104,What is a NAT rule
+11105,11105,How is neural network like and different from computer network
+11106,11106,What is a multiplicative model
+11107,11107,What is additive decomposition
+11108,11108,What is multiplicative model in time series
+11109,11109,What is a log linear model used for
+11110,11110,Why do we apply log
+11111,11111,What is an effective way of evaluating a model's accuracy
+11112,11112,How do you maintain model accuracy over time
+11113,11113,What is accuracy in classification model
+11114,11114,How do you use machine learning algorithms
+11115,11115,What are the types of machine learning algorithms
+11116,11116,What are the ethical issues in testing
+11117,11117,What are the different types of datasets used in ML
+11118,11118,What are the different types of ML
+11119,11119,How do you describe a sampling distribution AP stats
+11120,11120,What are the characteristics of sampling distribution
+11121,11121,How is the sample mean distributed
+11122,11122,What is posterior in Bayesian
+11123,11123,Why is hidden Markov used in speech recognition
+11124,11124,What are the two response variables
+11125,11125,What is the response variable in an observational study
+11126,11126,How can you tell if joint pdf is independent
+11127,11127,How do I get joint PDF from joint CDF
+11128,11128,How do you calculate entropy
+11129,11129,How do you calculate entropy of text
+11130,11130,Can you use at test with skewed data
+11131,11131,How do you analyze non normal data
+11132,11132,Does at test require a normal distribution
+11133,11133,Is K means non hierarchical clustering
+11134,11134,What does K refers in the K Means algorithm
+11135,11135,Which clustering is referred to as K means clustering
+11136,11136,What is time series design when is it used
+11137,11137,Is maximum likelihood estimator unbiased
+11138,11138,Why is MLE variance biased
+11139,11139,What is correlated error
+11140,11140,What are the consequences of serial correlation
+11141,11141,What are the topics in statistics
+11142,11142,What are the basic concepts of probability
+11143,11143,What are error measures
+11144,11144,What is measurement error in econometrics
+11145,11145,What is the purpose of a decision tree
+11146,11146,How do you analyze a decision tree
+11147,11147,What is time variant and time invariant system
+11148,11148,What is meant by time invariant system
+11149,11149,Which of the following is time invariant system
+11150,11150,What are the applications of K means clustering
+11151,11151,How does kernel work in image processing
+11152,11152,What is kernel size in Opencv
+11153,11153,What is lambda in SPSS
+11154,11154,What does lambda value mean
+11155,11155,How do you interpret correlation results in SPSS
+11156,11156,What is the need of POS tagging
+11157,11157,How do you calculate a false positive rate
+11158,11158,What is the relationship between specificity and false positive rate
+11159,11159,What do similar matrices have in common
+11160,11160,How do you know if matrices are similar
+11161,11161,What is similarity transformation of a matrix
+11162,11162,When would you not use random sampling
+11163,11163,What is not a random sample
+11164,11164,Is age a discrete or continuous variable
+11165,11165,How do you know if a random variable is discrete or continuous
+11166,11166,What is resampling in image processing
+11167,11167,How do you interpret integration in terms of area
+11168,11168,What is the geometrical meaning of derivative
+11169,11169,What criteria does a tree based algorithm use to decide on a split
+11170,11170,What is best split in decision tree
+11171,11171,What is the difference between dense and sparse
+11172,11172,What is sparse vector
+11173,11173,What is image threshold
+11174,11174,What does cv2 threshold do
+11175,11175,Which machine learning models use gradient descent
+11176,11176,What is sampling and sampling error
+11177,11177,What is a sampling error quizlet Chapter 7
+11178,11178,Why does stratified sampling decrease the probable sampling error
+11179,11179,What is pooling in neural networks
+11180,11180,What is pooling in machine learning
+11181,11181,How do you convert categorical variables to continuous
+11182,11182,What is machine learning problem definition
+11183,11183,What is AR in Arima
+11184,11184,What are the differences between AutoRegressive and moving average models
+11185,11185,What is the difference between VAR and SVAR
+11186,11186,How do you write an exponential distribution
+11187,11187,How do you know if data is exponentially distributed
+11188,11188,Which sampling methods are biased
+11189,11189,Which type of sampling is most at risk for sample bias
+11190,11190,Does stratified sampling have selection bias
+11191,11191,What is the predictor variable
+11192,11192,What is sift descriptor
+11193,11193,How is sift scale invariant
+11194,11194,What are the limitations of convenience sampling
+11195,11195,What is a posterior probability in Bayes Theorem
+11196,11196,Can logistic regression be used for regression problems
+11197,11197,Why isn't logistic regression called logistic classification
+11198,11198,What is the correct regression equation
+11199,11199,How is r2 calculated
+11200,11200,Should you standardize dummy variables
+11201,11201,Do I need to normalize categorical data
+11202,11202,Does Standardised scaling affect the values of dummy variables
+11203,11203,What type of algorithm is Perceptron Mcq
+11204,11204,Is Perceptron a logistic regression
+11205,11205,Why is Perceptron linear classifier
+11206,11206,What is the example of multimodal text
+11207,11207,How do you use multimodal in a sentence
+11208,11208,How do you find the similarity between two text files
+11209,11209,What is a second order tensor
+11210,11210,Is pressure a second order tensor
+11211,11211,Is a second order tensor A Matrix
+11212,11212,What does bias mean in research
+11213,11213,What is the meaning of tensor
+11214,11214,What is sequential model in neural network
+11215,11215,What is sequential model in TensorFlow
+11216,11216,What is the difference between ROC and AUC
+11217,11217,What is ROC curve learning
+11218,11218,What type of variable is weight
+11219,11219,Is birth weight discrete or continuous
+11220,11220,How do you find C in mean value theorem
+11221,11221,How do you find C in mean value theorem for integrals
+11222,11222,How do you find C in Rolle's theorem
+11223,11223,Who invented the convolutional neural network
+11224,11224,What are illusory correlations and what is regression toward the mean
+11225,11225,How do you find best K for K means
+11226,11226,Which of the following method is used for finding optimal of cluster in K mean algorithm
+11227,11227,How does the K Means algorithm work
+11228,11228,What are examples of a one hot encoded vector
+11229,11229,What is a hot vector
+11230,11230,How does machine learning determine Overfitting
+11231,11231,What is parameter and Hyperparameter
+11232,11232,What does neural net mean
+11233,11233,Are X and Y independent
+11234,11234,How will you know which machine learning algorithm to choose for your classification problem
+11235,11235,What is a two sided test in statistics
+11236,11236,How do you know if it is a one or two tailed test
+11237,11237,What is a box plot used for
+11238,11238,Who uses box plots
+11239,11239,Is logistic regression a discriminative or generative model
+11240,11240,Is standard error the same as standard deviation
+11241,11241,Is Standard Error An estimate of standard deviation
+11242,11242,Should you use standard error or standard deviation for error bars
+11243,11243,Is standard error same as standard error of the mean
+11244,11244,What is the field of NLP
+11245,11245,What does 2nd quartile mean
+11246,11246,How do you explain regression analysis
+11247,11247,Is integral calculus the opposite of differential calculus
+11248,11248,How do you calculate probability in logistic regression
+11249,11249,How do you find probability with log odds
+11250,11250,How do you find ancillary statistics
+11251,11251,What is ancillary analysis
+11252,11252,How do you show that a statistic is complete
+11253,11253,What is a minimal sufficient statistic
+11254,11254,How do you handle non normally distributed data
+11255,11255,What if variable is not normally distributed
+11256,11256,What is meant by univariate data in statistics
+11257,11257,What is a gradient step
+11258,11258,Where is linear regression used
+11259,11259,When should we use linear regression
+11260,11260,When can regression be used
+11261,11261,What is convenience sampling
+11262,11262,When did Picard become Locutus
+11263,11263,Why are Picard implants Borg
+11264,11264,How do you find the Z value in a normal distribution table
+11265,11265,How do you find the Z score
+11266,11266,Are z scores for normal distributions where 0 or 1
+11267,11267,What is the difference between Fourier transform and wavelet transform
+11268,11268,Why DWT is better than DCT
+11269,11269,How is kernel size calculated
+11270,11270,What is kernel size in Conv2D
+11271,11271,What are the different clustering methods
+11272,11272,What are clustering techniques in data mining
+11273,11273,What is the difference between testing and validation
+11274,11274,Is train test split cross validation
+11275,11275,What is the difference between evaluation of training and validation of training
+11276,11276,What is censoring in Kaplan Meier
+11277,11277,How do you deal with censored data
+11278,11278,What is machine learning being used for
+11279,11279,How is machine learning used in real life
+11280,11280,Where is machine learning used the most
+11281,11281,What is splitting variable
+11282,11282,What is split in decision tree
+11283,11283,How do you find the critical value of Z
+11284,11284,How do you find the Z value
+11285,11285,Is TensorFlow a deep learning framework
+11286,11286,What are AI frameworks
+11287,11287,Is the uncertainty principle wrong
+11288,11288,What does uncertainty principle mean
+11289,11289,Why is the uncertainty principle true
+11290,11290,What is UiPath process mining
+11291,11291,What is Process Mining
+11292,11292,What is the difference between supervised & unsupervised learning
+11293,11293,How does bagging help in improving the classification performance
+11294,11294,How does bagging help in designing better classifiers Nptel
+11295,11295,What is Z Score model
+11296,11296,Is the time series stationary
+11297,11297,What is difference between instance variable and class variable
+11298,11298,What is difference between instance and object
+11299,11299,Why does sample variance have N 1
+11300,11300,Why do you divide by N 1 when calculating standard deviation
+11301,11301,What is variance divided by n
+11302,11302,What does N represent in the formula for the sample variance
+11303,11303,When can we say a learning algorithm is a consistent learner
+11304,11304,How do we find the stability in machine learning model
+11305,11305,What is the function of statistical learner
+11306,11306,Why is cosine similarity used
+11307,11307,What are the steps of the statistical process
+11308,11308,What are the 4 basic steps in problem solving
+11309,11309,What are the four steps in a statistical investigation
+11310,11310,Can we called measure of average as measure of location why or why not
+11311,11311,What is the purpose of a measure of location
+11312,11312,What do you mean by measures of central tendency
+11313,11313,What does spectral analysis do
+11314,11314,How do you approach data
+11315,11315,How do you use a dataset
+11316,11316,Can dummy variables be used as independent variables in OLS regression
+11317,11317,Why are dummy variables used in regression
+11318,11318,What is the use of regression
+11319,11319,Is Adam stochastic gradient descent
+11320,11320,Which are the types of gradient descent
+11321,11321,What is naive Bayes classifier used for
+11322,11322,How does naive Bayes classification work its application
+11323,11323,What is the benefit of naive Bayes in machine learning
+11324,11324,What are used in backward chaining algorithm
+11325,11325,Which approaches are used in backward chaining
+11326,11326,What is backward chaining inference method
+11327,11327,Is the distribution of sample means always normal
+11328,11328,How does CNN can be used in object detection
+11329,11329,What subjects are needed for artificial intelligence
+11330,11330,What is N_estimators in XGBoost
+11331,11331,What is Min_samples_split in random forest
+11332,11332,What variable is the output of a function
+11333,11333,How do you find the output value of a function
+11334,11334,Are outputs range and dependent variable
+11335,11335,Why are sensitivity and specificity inversely related
+11336,11336,What qualifies as an outlier
+11337,11337,How do you identify outliers in data
+11338,11338,What is outlier definition and example
+11339,11339,What is false positive detection
+11340,11340,What is decision node
+11341,11341,What does a decision tree show
+11342,11342,What does a non leaf node represent in a decision tree
+11343,11343,What is the algorithm used for pattern searching
+11344,11344,What is pattern matching explain with algorithm and example
+11345,11345,What is pattern matching algorithm in data structure
+11346,11346,What is the mean of discrete uniform distribution
+11347,11347,How do you find the mean of a discrete distribution
+11348,11348,What is the mean of a discrete probability distribution
+11349,11349,How does Perceptron algorithm work
+11350,11350,What does logistic regression measure
+11351,11351,What is a good mean squared error
+11352,11352,What is a good root mean squared error
+11353,11353,What is a good Rmsle score
+11354,11354,Why do iterative methods work
+11355,11355,What is the limitation of Gauss Seidel method
+11356,11356,What do you mean by streaming process
+11357,11357,How do you handle streaming data efficiently
+11358,11358,Can we use RNN for image classification
+11359,11359,What is columnar data format
+11360,11360,What are the two axis on the perceptual map Capsim
+11361,11361,What is artificial neural network in machine learning
+11362,11362,What is artificial neural network and also write its application
+11363,11363,Is SVM regression or classification
+11364,11364,Is support vector regression linear
+11365,11365,Is SVM logistic regression
+11366,11366,What does quantile mean
+11367,11367,How do you know if a regression model is useful
+11368,11368,What is the difference between Gaussian and normal distribution
+11369,11369,What if TB Gold test is positive
+11370,11370,Can QuantiFERON test false positive
+11371,11371,What does QuantiFERON TB test for
+11372,11372,How do you read QuantiFERON results
+11373,11373,What should my standard error be
+11374,11374,Why is standard error of the mean used
+11375,11375,What does standard error of difference mean
+11376,11376,What is bigdata and Hadoop
+11377,11377,Is Hadoop a big data tool
+11378,11378,Why Hadoop is used in big data
+11379,11379,How is object detection done
+11380,11380,How can sensors be used to detect objects
+11381,11381,What is mean of discrete probability distribution
+11382,11382,What is discrete and continuous probability distribution
+11383,11383,How do you know if a probability distribution is discrete
+11384,11384,What do you mean by stratified random sampling
+11385,11385,What is the difference between a random sample and a stratified sample
+11386,11386,What is an interval scale
+11387,11387,What is interval and ratio level data
+11388,11388,How do you find the sampling error
+11389,11389,What is sampling error and non sampling error
+11390,11390,What are the benefits of hierarchical clustering over K means clustering What are the disadvantages
+11391,11391,Can you add confidence intervals
+11392,11392,How do I calculate confidence intervals
+11393,11393,What is the z score for 99.7 confidence interval
+11394,11394,What is objective function in machine learning
+11395,11395,What is objective function in deep learning
+11396,11396,What is non linear time
+11397,11397,What is a linear time series
+11398,11398,What is non linear dataset
+11399,11399,What is linearity and nonlinearity
+11400,11400,How do you determine nonlinearity
+11401,11401,How do you define activity level
+11402,11402,What is my activity level based on steps
+11403,11403,What is continuous and discrete system
+11404,11404,What are two types of control systems
+11405,11405,What is a population moment
+11406,11406,What is raw moment and central moment
+11407,11407,How do you find the correlation between two signals in Matlab
+11408,11408,What is random walk process
+11409,11409,What is the proof of random walk occurrence
+11410,11410,What examples of random variables closely follow a normal distribution
+11411,11411,How do you cluster
+11412,11412,What the joint probability of two random variables represents
+11413,11413,How do you find the density of a random variable
+11414,11414,How do you find the joint probability of two events
+11415,11415,Why Matlab is used in image processing
+11416,11416,How do you use a moment generating function
+11417,11417,How do you find the moment generating function in a normal distribution
+11418,11418,What is multi layer Perceptron model
+11419,11419,What is the purpose of sampling distribution
+11420,11420,How do you find the null and alternative hypothesis
+11421,11421,What is vectorization in machine learning
+11422,11422,Why do we need vectorization
+11423,11423,How do you vectorize text
+11424,11424,What is TF IDF vectorization
+11425,11425,What is AIC used for
+11426,11426,When should you normalize data
+11427,11427,When should you not normalize data
+11428,11428,Which type of learning uses imitation
+11429,11429,Does Facebook use AI
+11430,11430,Is Social Media artificial intelligence
+11431,11431,How do you find the standardized mean difference
+11432,11432,What is SMD statistics
+11433,11433,What is propensity matched analysis
+11434,11434,What is sparse representation based classification
+11435,11435,Why and when do we use sparse representation
+11436,11436,Can clustering be done on categorical variables
+11437,11437,How do you handle categorical variables in clustering
+11438,11438,Is the correlation between X and Y the same as Y and X
+11439,11439,When there is no correlation between X and Y then
+11440,11440,Why is convenience sampling bad
+11441,11441,What are some problems with the sampling technique
+11442,11442,What does logit transformation do
+11443,11443,What is connectivity clustering
+11444,11444,How do you find the bias of a model
+11445,11445,What is model variance
+11446,11446,What is the difference in bias and variance
+11447,11447,How do you validate a predictive model
+11448,11448,What is the accuracy of a model
+11449,11449,Do we need to normalize data for Knn
+11450,11450,What happens if we do not normalize our dataset before performing classification using KNN algorithm
+11451,11451,Why do we standardize data in machine learning
+11452,11452,What are randomized algorithms explain
+11453,11453,What is the difference between a deterministic algorithm and a randomized algorithm
+11454,11454,What is randomized selection
+11455,11455,What is the counting rule in statistics
+11456,11456,What is the additive rule of probability
+11457,11457,How do you interpret beta coefficient in logistic regression
+11458,11458,How do you know whether a random variable is continuous or discrete
+11459,11459,What are the types of random variable
+11460,11460,What's the meaning of bandits
+11461,11461,What is feature in image processing
+11462,11462,Which machine learning algorithm can minimize both the bias and variance error
+11463,11463,How much memory is needed for deep learning
+11464,11464,What type of data is used in deep learning
+11465,11465,How do you interpret logistic regression coefficients
+11466,11466,What does negative coefficient mean in logistic regression
+11467,11467,What does quartile INC mean
+11468,11468,What is the difference between percentile EXC and percentile Inc
+11469,11469,When we calculate the quartiles using quartile Inc () formula which of the quartile values is equal to the median
+11470,11470,What sample statistic is used to estimate a population mean μ
+11471,11471,What is the value of the sample statistic
+11472,11472,How do you estimate the value of the population proportion
+11473,11473,What does hidden means in hidden Markov model
+11474,11474,What is the difference between logistic regression and PCA
+11475,11475,How does Lstm prevent the vanishing gradient problem
+11476,11476,How do you find the interquartile range of a data set
+11477,11477,What does the Iqr tell you about a data set
+11478,11478,What is the interquartile range rule
+11479,11479,What is the difference between probability and relative frequency
+11480,11480,What is the relative frequency definition of probability
+11481,11481,What is the classical method of probability
+11482,11482,What is the difference between Sklearn and Scikit learn
+11483,11483,What is robot accuracy
+11484,11484,How do you measure robot accuracy
+11485,11485,What is accuracy and repeatability
+11486,11486,What is a stochastic process
+11487,11487,What is stochastic processes and their applications
+11488,11488,How do you avoid Underfitting in linear regression
+11489,11489,What is frequency in Fourier Transform
+11490,11490,What is spatial domain and frequency domain
+11491,11491,What is frequency domain in control system
+11492,11492,Which method used time series data
+11493,11493,What are the methods of estimating trend in a time series
+11494,11494,What is the meaning of sampling frame
+11495,11495,What are the uses of statistics in the real world
+11496,11496,What are the advantages and disadvantages of non random sampling
+11497,11497,What is sampling and its advantages and disadvantages
+11498,11498,What is the difference between t test and Student's t test
+11499,11499,What are the basic assumptions considered in linear discriminant analysis
+11500,11500,How did they use the Hebbian learning in neural network
+11501,11501,What is a Hebbian synapse
+11502,11502,Why is entropy maximum at equilibrium
+11503,11503,Which distribution has highest entropy
+11504,11504,What is dimensionality reduction in data science
+11505,11505,What is multivariate testing and how it is different from a B testing
+11506,11506,What are multivariate tests in SPSS
+11507,11507,What is NLP give an example of NLP
+11508,11508,What are the NLP techniques
+11509,11509,What is the y axis in a density plot
+11510,11510,What is the Y axis of a probability distribution
+11511,11511,What does the y axis mean on a bell curve
+11512,11512,What is Double Q
+11513,11513,What is double deep Q learning
+11514,11514,How do you control a confounding variable
+11515,11515,What is confusion matrix in ML
+11516,11516,What is the frequency domain of an image
+11517,11517,Is image processing a domain
+11518,11518,What is frequency domain representation
+11519,11519,What are the advantages of discriminative classifier
+11520,11520,What is the difference between autocorrelation and cross correlation
+11521,11521,What is the difference between autocorrelation and multicollinearity
+11522,11522,When should probability sampling be used
+11523,11523,What is the main advantage of using probability samples
+11524,11524,What are the features of probability sampling
+11525,11525,What is a training set used for
+11526,11526,What is a good IQ score
+11527,11527,Can you calculate covariance from variance
+11528,11528,What is covariance divided by variance
+11529,11529,What is the difference between mean and variance
+11530,11530,Can QuantiFERON be false positive
+11531,11531,What is IoU in Yolo
+11532,11532,Where is artificial neural network used
+11533,11533,What is parameters in machine learning
+11534,11534,What does parameter mean
+11535,11535,How do I learn statistics for data science
+11536,11536,What is correlation in data mining
+11537,11537,Is current a tensor quantity
+11538,11538,Can two events be disjoint and independent
+11539,11539,How can you tell from a Venn diagram that two events are not disjoint
+11540,11540,What is the relation between Fourier transform and Fourier series
+11541,11541,What is the difference between Fourier series and transform
+11542,11542,What is the purpose of Fourier Series
+11543,11543,Is confusion matrix a performance evaluation measure
+11544,11544,What is the probable approach when dealing with exploding gradient problem in RNNs
+11545,11545,What is word2vec embedding
+11546,11546,What is word2vec explain with example
+11547,11547,What is entropy loss
+11548,11548,What is simulation and why it is used
+11549,11549,What is the class imbalance problem
+11550,11550,What is class imbalance and how do you deal with it
+11551,11551,What conditions must be met to use the normal distribution to approximate the binomial distribution
+11552,11552,What are the conditions for using the normal approximation for a sampling distribution of means
+11553,11553,What is quantile regression used for
+11554,11554,What is quantile on quantile regression
+11555,11555,What regression analysis tells us
+11556,11556,How do you calculate joint probability density
+11557,11557,How do you find the expected value of a joint density function
+11558,11558,What is the difference between fuzzy logic and neural networks
+11559,11559,Can K means be used for categorization of text data
+11560,11560,How do you convert class intervals to mid values
+11561,11561,What is mid value of class interval
+11562,11562,How do you find the median of a class interval
+11563,11563,What is the advantage of hierarchical clustering over K means clustering
+11564,11564,What is better hierarchical clustering or K means
+11565,11565,What is the disadvantage of hierarchical clustering
+11566,11566,Why median filter is not linear
+11567,11567,Is average filter linear
+11568,11568,What is pseudo order reaction give example
+11569,11569,What is a pseudo rate constant
+11570,11570,How do you calculate Gaussian distribution
+11571,11571,How do you calculate normal distribution
+11572,11572,What is alternate form reliability
+11573,11573,What is unstructured data in big data
+11574,11574,What is structured data and unstructured data explain with example
+11575,11575,Is big data structured or unstructured
+11576,11576,Which method is used to treat outliers
+11577,11577,How do you know if an element in any data set is an outlier
+11578,11578,Is at test a correlation
+11579,11579,How does the brain or neural network works
+11580,11580,What is object detection model
+11581,11581,How do neural networks reduce bias
+11582,11582,What is the order of a moving average
+11583,11583,What is the coefficient in linear regression
+11584,11584,What is the formula for line of regression
+11585,11585,How do you explain a regression coefficient
+11586,11586,What is the difference between standard deviation and standard error
+11587,11587,What is the difference between standard deviation and margin of error
+11588,11588,What does the standard error measure quizlet
+11589,11589,How do you make a regression model better
+11590,11590,How do you know if a linear regression model is accurate
+11591,11591,How Artificial Intelligence is helpful to the world
+11592,11592,Why is artificial intelligence so important
+11593,11593,Is sample size standard deviation
+11594,11594,What is the difference between one way Anova and t test
+11595,11595,How is bias updated in neural network
+11596,11596,What is bias in backpropagation
+11597,11597,When would you use parametric and nonparametric tests
+11598,11598,Does Elon Musk support AI
+11599,11599,What does Bill Gates think of AI
+11600,11600,Is Elon Musk an AI robot
+11601,11601,Why do we need sigmoid function in logistic regression
+11602,11602,When can the divergence theorem be used
+11603,11603,Which of Theorem uses divergence operations
+11604,11604,What does the skewness value mean
+11605,11605,What is a median in statistics
+11606,11606,How do you find the sample mean in statistics
+11607,11607,How do you find the median of a set of data
+11608,11608,What is the example of non numeric data
+11609,11609,What is Numeric Data
+11610,11610,What is the difference between numerical data and categorical data
+11611,11611,What is a suggested evaluation measure for a ranking problem
+11612,11612,What is a ranking algorithm
+11613,11613,How do you create a rank algorithm
+11614,11614,What is Keypoint descriptor in sift
+11615,11615,What are descriptors in image processing
+11616,11616,What is topic modeling in NLP
+11617,11617,How do you use topic modeling for classification
+11618,11618,How do you read Fisher's exact test
+11619,11619,What are the four assumptions of multiple linear regression
+11620,11620,Which of the following is not an assumption for a linear regression model
+11621,11621,What is the margin of error of the sample mean
+11622,11622,How do you calculate sampling error
+11623,11623,How do you find the margin of error for two samples
+11624,11624,How do you find the margin of error from the confidence interval for the sample mean
+11625,11625,How do you find the trend line
+11626,11626,How do you find the trendline of a scatter plot in Excel
+11627,11627,What is a trendline equation
+11628,11628,Why do we use a bell curve to assess the normality of a variable as opposed to a square triangle or some other symmetrical shape
+11629,11629,When would you use a loss function
+11630,11630,Can linear regression be used for time series forecasting
+11631,11631,Is time series a regression
+11632,11632,Can I use OLS for time series
+11633,11633,How do you reconstruct a signal from its samples
+11634,11634,How do you reconstruct a signal from its sample in Matlab
+11635,11635,What is the condition for sampling theorem
+11636,11636,What are features in CNN
+11637,11637,What is feature vector in image processing
+11638,11638,What is a univariate analysis of variance
+11639,11639,How does maximum likelihood classification work
+11640,11640,What is model parameter in machine learning
+11641,11641,What do model based learning algorithms search for
+11642,11642,How do you ensemble a neural network
+11643,11643,What is random forest explain with example
+11644,11644,How do you calculate random forest
+11645,11645,What is random forest in machine learning
+11646,11646,How do you find the MGF of gamma distribution
+11647,11647,What does gamma distribution model
+11648,11648,What is the MGF of geometric distribution
+11649,11649,How is adjusted R squared calculated
+11650,11650,What is the difference between R2 and adjusted R2
+11651,11651,How do you find the adjusted coefficient of determination
+11652,11652,What is univariate normality
+11653,11653,What are the applications of outlier detection
+11654,11654,What are outliers discuss the methods adopted for outlier detection
+11655,11655,What are the challenges of outlier detection
+11656,11656,What is the difference between stochastic gradient descent SGD and gradient descent GD )
+11657,11657,How do you find the sample mean
+11658,11658,Why isn't the mean of a sample always the same as the mean of a population
+11659,11659,What is episode in reinforcement learning
+11660,11660,What is RL agent
+11661,11661,What is the use of mean square error
+11662,11662,What is the time complexity of BFS
+11663,11663,Why is time complexity of DFS o v e
+11664,11664,What is the time complexity of the BFS algorithm If the graph is represented by the adjacency matrix
+11665,11665,What is a benefit of applying a binning transformation to a field
+11666,11666,What is binning in data mining
+11667,11667,What are the applications of fuzzy inference systems Mcq
+11668,11668,Where has fuzzy inference systems been implemented *
+11669,11669,What is the log likelihood of a model
+11670,11670,Which of the following is the limitation of collaborative filtering
+11671,11671,What are the challenges of collaborative filtering
+11672,11672,Which is the biggest advantage of a collaborative filtering recommender system
+11673,11673,Is a covariance matrix invertible
+11674,11674,What does covariance matrix tell us
+11675,11675,How do you calculate the inverse of a matrix
+11676,11676,Is the covariance matrix positive definite
+11677,11677,What is outlier in data science
+11678,11678,How do you solve outliers in a data set
+11679,11679,What are the properties of probability distribution function
+11680,11680,What is non stochastic effect
+11681,11681,What is a non stochastic variable
+11682,11682,What are 2 types of stochastic effects
+11683,11683,What does stochastic effects mean
+11684,11684,What is clustering in deep learning
+11685,11685,What is the difference between Anova and linear regression
+11686,11686,Why Anova and regression are the same
+11687,11687,Is an Anova a regression
+11688,11688,Is Anova a general linear model
+11689,11689,Is r 2 correlation squared
+11690,11690,What does R and R 2 mean
+11691,11691,What is data in artificial intelligence
+11692,11692,How does AI use data
+11693,11693,Why AI is needed
+11694,11694,What test is most applicable to test the convergence or divergence of the series
+11695,11695,How do you check if a series is convergent or divergent
+11696,11696,How do I know which series test to use
+11697,11697,How do you know if a series is Harmonic
+11698,11698,Which of the following is true about bagging
+11699,11699,What is meant by growth curve
+11700,11700,What is the meaning of discretions
+11701,11701,What is the purpose of discretion
+11702,11702,Is Arima considered machine learning
+11703,11703,Is Time Series Analysis supervised or unsupervised
+11704,11704,Is Time Series Analysis Machine Learning
+11705,11705,How do you do stepwise regression in SPSS
+11706,11706,How do you do bivariate regression in SPSS
+11707,11707,What is an Autoencoder used for
+11708,11708,How do you preprocess data for clustering
+11709,11709,What does the hidden Markov model is used
+11710,11710,What is difference between universe and sample
+11711,11711,What is the meaning of universe in statistics
+11712,11712,What's meant by sampling
+11713,11713,What is population and sampling
+11714,11714,What does kurtosis mean
+11715,11715,What is kurtosis with example
+11716,11716,What is kurtosis how is it calculated
+11717,11717,What is the role of knowledge representation in artificial intelligence
+11718,11718,What do you mean by knowledge in AI
+11719,11719,What is the role of knowledge in intelligence behavior
+11720,11720,Why do we need data pipeline
+11721,11721,Which of the following is a eager learning method
+11722,11722,What is the difference between data analytics and data analysis
+11723,11723,What is the difference between stratified sampling and stratified random sampling
+11724,11724,What is collaborative filtering in big data
+11725,11725,What is collaborative filtering quizlet
+11726,11726,Is it appropriate to use the one proportion z test
+11727,11727,What is a 2 Prop Z test
+11728,11728,What does the least squares regression line show
+11729,11729,What does the regression line tell you
+11730,11730,How do you use LSRL to predict
+11731,11731,How is PA and B calculated
+11732,11732,What does Y represent in statistics
+11733,11733,What is Overfitting And how do you ensure you're not Overfitting with a model
+11734,11734,What is the difference between ordinary least squares regression analysis and multiple regression analysis
+11735,11735,What is confusion matrix in random forest
+11736,11736,How many weights does a neural network have
+11737,11737,What are Variates
+11738,11738,How do you generate random variates
+11739,11739,What is a z score and how are z scores used
+11740,11740,What do z scores tell you
+11741,11741,What is a 1D CNN
+11742,11742,How do you test population proportion
+11743,11743,What test statistic do we use when testing a population mean
+11744,11744,What is population proportion statistics
+11745,11745,How is neural network implemented in TensorFlow
+11746,11746,Is TensorFlow a neural network
+11747,11747,What is gradient descent batch size
+11748,11748,What is the meaning of sigma in statistics
+11749,11749,What does ∑ mean in statistics
+11750,11750,How do you find sigma in statistics
+11751,11751,What is the difference between standard deviation and Sigma
+11752,11752,Is CNN a deep learning algorithm
+11753,11753,Is hierarchical clustering unsupervised learning
+11754,11754,Why is hierarchical clustering considered as an unsupervised machine learning algorithm
+11755,11755,Is hierarchical clustering deterministic
+11756,11756,What are parametric assumptions
+11757,11757,What is Z test and t test
+11758,11758,What is the meaning of NLU
+11759,11759,What is NLU model
+11760,11760,What is the full form of NLU in AI
+11761,11761,What measures of variability can be used to compare two data sets
+11762,11762,How do you measure variability in data
+11763,11763,What is the variability of a data set
+11764,11764,Can we use the standard deviation to compare variability of two or more datasets
+11765,11765,Which type of problems are best suited for logistic regression
+11766,11766,What is the best fit regression equation
+11767,11767,Which of the following methods do we use to find the best fit line for data in linear regression
+11768,11768,What are binary data types
+11769,11769,How do you read binary data
+11770,11770,What are binary files used for
+11771,11771,What does a binary file look like
+11772,11772,What is T interval in statistics
+11773,11773,What is an example of a sampling frame
+11774,11774,How do you define sampling frame
+11775,11775,How do you teach reinforcement
+11776,11776,What is reinforcement in teaching and learning
+11777,11777,What are reinforcing techniques
+11778,11778,What are the pros and cons of naive Bayes
+11779,11779,What are the disadvantages of naive Bayesian classifier
+11780,11780,How do you calculate the Sharpe ratio
+11781,11781,What is an average Sharpe ratio
+11782,11782,What is the difference between PD and LGD
+11783,11783,How is Lgd calculated
+11784,11784,Where is standard deviation used in real life
+11785,11785,Where do we use variance
+11786,11786,Why do we use power spectral density
+11787,11787,Is K means an example of a deterministic algorithm
+11788,11788,What are the difficulties faced in hierarchical clustering
+11789,11789,What are the disadvantages of clustering
+11790,11790,What is the difference between a one sample t test and a 2 sample t test
+11791,11791,What is the main difference between the t test for dependent samples and the t test for independent samples
+11792,11792,What are the advantages of real time processing
+11793,11793,What is data distribution
+11794,11794,What are the types of data distribution
+11795,11795,How do you determine data distribution
+11796,11796,What is data distribution in machine learning
+11797,11797,Why is the central limit theorem so important to the study of sampling distributions quizlet
+11798,11798,What does the central limit theorem tell us about a sampling distribution
+11799,11799,What is the importance of studying sampling distributions
+11800,11800,What is Sklearn linear regression
+11801,11801,Does Scikit learn linear regression use gradient descent
+11802,11802,Which library we used for linear regression
+11803,11803,What two characteristics does the correlation coefficient r tell you
+11804,11804,What are the two types of correlation
+11805,11805,What factors affect the correlation coefficient
+11806,11806,What is SVD in data science
+11807,11807,How do you know if it's one or two tailed test
+11808,11808,How do you know if a test is left tailed
+11809,11809,How do you know which parameter is being tested
+11810,11810,Why Taguchi method is used
+11811,11811,What is a Taguchi diagram
+11812,11812,What is the difference between path analysis and structural equation modeling
+11813,11813,Is SEM a regression
+11814,11814,How do you find eigenvectors
+11815,11815,What is eigenvector of matrix
+11816,11816,What is a linear image
+11817,11817,How many variables are in a regression model
+11818,11818,How many variables are used with linear regression analysis
+11819,11819,How many variables should be
+11820,11820,What is secondary sampling unit
+11821,11821,What do you mean by multistage sampling
+11822,11822,What is meant by assumptions for a statistical test
+11823,11823,Which of the following assumptions do we make when applying a statistical test
+11824,11824,Are the assumptions required for statistical inference satisfied
+11825,11825,Which residual plot shows that the model is a good fit for the data
+11826,11826,Does the residual plot show that the line of best fit is appropriate for the data
+11827,11827,Which residual plot is the correct one for the data
+11828,11828,Which statements describe a residual plot for a line of best fit
+11829,11829,How does a naive Bayes classifier use Bayes rule
+11830,11830,Why is naïve Bayes classifier naïve
+11831,11831,What is the meaning of offline classes
+11832,11832,How does random forest handle categorical variables
+11833,11833,How do you handle categorical variables in regression
+11834,11834,Can you use categorical variables in SVM
+11835,11835,What distribution should be used
+11836,11836,What statistics are used to test a hypothesis
+11837,11837,What does the normal distribution represent in the hypothesis testing
+11838,11838,What distribution should be used for hypothesis test for the mean of population standard deviation is known
+11839,11839,What are the similarities and differences between the logit model for binary data and the probit model for binary data
+11840,11840,What is the difference between discrete and random variables
+11841,11841,What is the definition of a discrete random variable
+11842,11842,How do you forecast data
+11843,11843,Which of the following are types of estimation in statistics
+11844,11844,What is estimation and its types
+11845,11845,What is estimation method in statistics
+11846,11846,What are the methods of estimating
+11847,11847,What is the meaning of greedy algorithm
+11848,11848,Who invented greedy algorithm
+11849,11849,What is the role of NLP in text mining
+11850,11850,What is NLP in data mining
+11851,11851,What is the difference between text mining and NLP
+11852,11852,How do you find assumptions in logistic regression
+11853,11853,How do you check linearity assumption in logistic regression SPSS
+11854,11854,How do you test for linearity
+11855,11855,What are the assumptions for logistic and linear regression
+11856,11856,In which examples could binomial distribution be used
+11857,11857,What does binomial distribution tell us
+11858,11858,When can the binomial distribution be used to sample without replacement
+11859,11859,What is an individual outcome in the sample space
+11860,11860,What is SVD in PCA
+11861,11861,Is Lstm a neural network
+11862,11862,Is Lstm a reinforcement learning
+11863,11863,What is the difference between parametric and nonparametric models
+11864,11864,What is parametric and nonparametric methods
+11865,11865,What are parametric models give an example
+11866,11866,What is the moment generating function of uniform distribution
+11867,11867,What is the function of normal distribution
+11868,11868,Is PDF a derivative of CDF
+11869,11869,What is the relation between CDF and PDF
+11870,11870,What is the relation between correlation and covariance
+11871,11871,How do you find the correlation between two variables
+11872,11872,What is Sklearn in Python
+11873,11873,What is the difference between TensorFlow and Sklearn
+11874,11874,How does Scikit learn work
+11875,11875,What is the loss function for classification
+11876,11876,What is the purpose of exploratory data analysis
+11877,11877,What are the two main categories of techniques for exploring data
+11878,11878,What four things are accomplished in exploratory data analysis
+11879,11879,What are the advantages of exploratory data analysis
+11880,11880,When can normal distribution be used
+11881,11881,What is early stopping in neural network training
+11882,11882,What is early stopping in machine learning
+11883,11883,What is the difference between endogenous and exogenous variable
+11884,11884,What is random experiment give an example
+11885,11885,What is deterministic experiment
+11886,11886,How does learning rate effect gradient descent
+11887,11887,What is the role of learning rate alpha in gradient descent method
+11888,11888,How do you calculate mean absolute error
+11889,11889,What is the definition of a binomial
+11890,11890,What is binomial distribution and its characteristics
+11891,11891,What is a good accuracy score
+11892,11892,How do you test for significant difference
+11893,11893,How do you compare two samples
+11894,11894,Is PCA the same as SVD
+11895,11895,Why is K means better
+11896,11896,How can you prevent a clustering algorithm
+11897,11897,What is the difference between Multilabel and multiclass
+11898,11898,How do you do the Multilabel classification
+11899,11899,What is the difference between numeric data type and non numeric data type
+11900,11900,What is the difference between numerical and categorical data
+11901,11901,How do you control a variable
+11902,11902,What does it mean to control a variable in an experiment
+11903,11903,Why do we control variables
+11904,11904,What percentile is new IIM call
+11905,11905,What does normal distribution tell us
+11906,11906,What is 2nd order derivative
+11907,11907,Which order of the derivative signify the presence of the edge at a point
+11908,11908,Why second derivatives are used
+11909,11909,What is the relevance of bias in learning system
+11910,11910,What are the weights and bias for the and Perceptron
+11911,11911,Which is weight updation formula of Perceptron network
+11912,11912,What is distributional evidence
+11913,11913,Where are decision trees used
+11914,11914,Can I use regression for Likert scale
+11915,11915,How do you do regression Likert scale data
+11916,11916,What is the converse of P → Q
+11917,11917,How do you determine statistical treatment
+11918,11918,Is logistic regression more appropriate than linear regression for a binary response variable
+11919,11919,What is binary dependent variable
+11920,11920,What does loss represent in neural network
+11921,11921,When would you use a Poisson distribution
+11922,11922,Under what conditions will you use the Poisson and the binomial probability distributions
+11923,11923,How do I choose the right model
+11924,11924,How do you know what classifier to use
+11925,11925,How do you reduce high variance in machine learning
+11926,11926,How does neural network reduce variance
+11927,11927,What is TensorFlow in machine learning
+11928,11928,What is capacity in machine learning
+11929,11929,What is Modelling in machine learning
+11930,11930,What is model complexity in machine learning
+11931,11931,What is ab value in statistics
+11932,11932,What is AB testing in machine learning
+11933,11933,Why do we use natural logarithms
+11934,11934,What can a neural network be used for
+11935,11935,What is the difference between correlation and multiple regression
+11936,11936,What is the difference between multiple R and R Squared
+11937,11937,What is the independent variable in sociology
+11938,11938,What is the meaning of dependent variable
+11939,11939,When would you use a parametric test
+11940,11940,What is one advantage to using nonparametric statistics instead of parametric statistics
+11941,11941,What is the benefit of inferential statistics
+11942,11942,What are the two types of inferential statistics
+11943,11943,What do you mean by inferential statistics
+11944,11944,Is Multicollinearity a problem in decision trees
+11945,11945,What is the problem with Multicollinearity
+11946,11946,What are the advantages and disadvantages of a box plot
+11947,11947,What is linear regression indicator
+11948,11948,How do you use linear regression indicator
+11949,11949,How does collaborative filtering filter information
+11950,11950,How do you find the empirical distribution
+11951,11951,What is an empirical discrete probability distribution
+11952,11952,What is the difference between an empirical and probability distribution
+11953,11953,What are the limitations of logistic regression
+11954,11954,What is weighted average in machine learning
+11955,11955,What is clustering explain with examples
+11956,11956,What is the difference between text classification and text clustering
+11957,11957,What is clustering of data distinguish supervised and unsupervised classification with example
+11958,11958,What is chi square test write its formula
+11959,11959,What does the chi square statistic calculate
+11960,11960,Is the expectation of a random variable random
+11961,11961,What are the conditions for a function to be a random variable
+11962,11962,Why is standard deviation better than average deviation
+11963,11963,What is average deviation
+11964,11964,Is standard deviation and mean the same
+11965,11965,How does artificial intelligence help us
+11966,11966,What is the primary reason for using cluster sampling
+11967,11967,What does multinomial mean
+11968,11968,Which is a binomial distribution
+11969,11969,Why do we select variables
+11970,11970,What is selection variable in regression SPSS
+11971,11971,Is computer vision part of AI
+11972,11972,What does it mean if probability is independent
+11973,11973,Which filter is used in adaptive equalizer block diagram is
+11974,11974,Which mechanism is used in the block diagram of adaptive filter
+11975,11975,What are the modes of adaptive equalizer
+11976,11976,What is meant by adaptive filter
+11977,11977,What does LSH mean
+11978,11978,What is the significance in Rabin Karp algorithm
+11979,11979,Which of the following is correct about Rabin Karp algorithm
+11980,11980,What is a Poisson distribution simple explanation
+11981,11981,What is the variance of a chi squared distribution
+11982,11982,How do you interpret chi squared
+11983,11983,What is quota sampling Class 11
+11984,11984,What is quota sampling PDF
+11985,11985,What is association rule mining What are the different types of association rules
+11986,11986,How do you solve Wilcoxon signed rank test
+11987,11987,When should you use the Wilcoxon rank sum test
+11988,11988,How do you train artificial neural networks
+11989,11989,How do you train a network
+11990,11990,How do you solve Z score problems
+11991,11991,How do you find the z score of a word problem
+11992,11992,How do you make an object detection model
+11993,11993,What is object detection used for
+11994,11994,What is object detection in deep learning
+11995,11995,How do you get a representative sample
+11996,11996,What is the partitioning method in maths
+11997,11997,How do I choose the best number of K in K means clustering
+11998,11998,Is it possible that assignment of observations to clusters does not change between successive iterations in K means
+11999,11999,What does intra rater reliability mean
+12000,12000,How do you measure intra rater reliability
+12001,12001,Why is intra rater reliability important
+12002,12002,What is the difference between correlational and quasi experimental research
+12003,12003,What is a difference between correlational and quasi experimental research quizlet
+12004,12004,What are the main differences between correlation and experiment
+12005,12005,What does converge mean in machine learning
+12006,12006,Is neural network good for regression
+12007,12007,Why Bayesian learning methods are relevant to machine learning
+12008,12008,What are the features of Bayesian learning methods
+12009,12009,What is the difference between univariate bivariate and multivariate analysis
+12010,12010,How does gradient descent avoid local minima
+12011,12011,What is local gradient
+12012,12012,What is inspection and acceptance sampling
+12013,12013,What are the approaches in AI
+12014,12014,What does bounding box mean
+12015,12015,What is bounding box regression
+12016,12016,What is a bounding box quizlet
+12017,12017,What is a first order Markov chain
+12018,12018,What is one limitation of the Markov model
+12019,12019,How do you test the significance of a variable
+12020,12020,How do you test the significance of regression coefficients
+12021,12021,Why take the log of a variable in a regression
+12022,12022,How many hidden layers are in deep neural network
+12023,12023,What does backward chaining mean
+12024,12024,What is sparse data give an example
+12025,12025,What is the relationship between the precision and the uncertainty of a measurement
+12026,12026,How do you calculate accuracy and precision
+12027,12027,Why is the T distribution used
+12028,12028,What is the difference between a relative frequency histogram and a density scale histogram
+12029,12029,How do you find relative frequency density
+12030,12030,How do you find the frequency density in a histogram
+12031,12031,How does spiking neural networks work
+12032,12032,How do you test a population proportion hypothesis
+12033,12033,How do you find the test statistic for a proportion
+12034,12034,What is the test statistic in hypothesis testing
+12035,12035,What do you mean by sparse matrix
+12036,12036,Why do we use sparse matrix
+12037,12037,How do you know if a variable is quantitative or categorical
+12038,12038,Is postal code qualitative
+12039,12039,What does Q represent in probability
+12040,12040,What does Q stand for in statistics
+12041,12041,What is P and Q in probability
+12042,12042,What is Q in the binomial probability formula
+12043,12043,What does T value and p value mean
+12044,12044,What is an acceptable P value for t test
+12045,12045,What does p value less than 0.05 mean
+12046,12046,How do you assign a weight to a variable
+12047,12047,How do you determine weightage
+12048,12048,How do you use weighting factors
+12049,12049,What is weighting method
+12050,12050,What are the types of event
+12051,12051,What does event type mean
+12052,12052,What is Event Management and its types
+12053,12053,Why do we use gradient descent for linear regression
+12054,12054,What is the gradient of the regression line
+12055,12055,How do you test validity
+12056,12056,WHAT IS environment in reinforcement learning
+12057,12057,Where did morality come from
+12058,12058,What makes a neural network deep versus not deep
+12059,12059,Are neural networks deep learning
+12060,12060,What is considered a small sample size in statistics
+12061,12061,What is the minimum sample size required
+12062,12062,Which of the following are the methods that we use for dimension reduction
+12063,12063,What is the covariance of three random variables
+12064,12064,How do you calculate multivariate covariance
+12065,12065,What is a representation in machine learning
+12066,12066,What is representation ML
+12067,12067,How do you compare two interquartile ranges
+12068,12068,How are range and interquartile range IQR the same
+12069,12069,How do you interpret interquartile range
+12070,12070,What is the Fourier transform of an impulse train
+12071,12071,What is the function of a Fourier transform
+12072,12072,What is the Fourier transform of delta function
+12073,12073,What is Fourier transform of a signal
+12074,12074,What makes a variable endogenous
+12075,12075,What does Epsilon stand for
+12076,12076,What is the function of Epsilon
+12077,12077,What is Epsilon in convergent sequence
+12078,12078,How do you find the probability of a uniform distribution
+12079,12079,How do you solve continuous probability distribution problems
+12080,12080,How do you find the percentile of a uniform distribution
+12081,12081,What is the mean in statistics
+12082,12082,What is the purpose of mean in statistics
+12083,12083,What is mixed effects regression
+12084,12084,What is the difference between security group and network ACL in AWS
+12085,12085,What is the difference between network ACL and security group
+12086,12086,What is the use of nacl in AWS
+12087,12087,Why does the outlier affect the standard deviation
+12088,12088,How do outliers affect the mean median and standard deviation
+12089,12089,How many standard deviations away from the mean is an outlier
+12090,12090,Do you include outliers in standard deviation
+12091,12091,Can you reject the null and alternative hypothesis
+12092,12092,How do you frame a null and alternative hypothesis
+12093,12093,When should you reject the null hypothesis
+12094,12094,What is the probability density function of a continuous random variable
+12095,12095,How are probabilities calculated for continuous random variables
+12096,12096,Is probability density function continuous
+12097,12097,Why is linear equation called linear
+12098,12098,What does linear mean in algebra
+12099,12099,What is called linear
+12100,12100,Who invented linear algebra
+12101,12101,How do you choose a non parametric test
+12102,12102,Which nonparametric test should you use to compare the results
+12103,12103,Which non parametric test would you use to assess whether there is a significant difference between the mean ranks of two conditions
+12104,12104,Why is principal component analysis used
+12105,12105,What is PCA and LDA
+12106,12106,What kind of learning algorithm is used for facial identities
+12107,12107,What are the 2 types of bias
+12108,12108,Why is stratified sampling better than random sampling
+12109,12109,Is stratified sampling random
+12110,12110,What does AUC ROC mean
+12111,12111,What is the purpose of using regression analysis
+12112,12112,Should I know data structures and algorithms for machine learning
+12113,12113,How do you deal with missing data in regression analysis
+12114,12114,Is CNN part of machine learning
+12115,12115,What is CNN image classification
+12116,12116,How do you interpret dimensional analysis
+12117,12117,How do you find the probability when given the mean and standard deviation
+12118,12118,How do you find the probability given the mean
+12119,12119,How do you find the probability with mean and standard deviation on a TI 84
+12120,12120,How do you find the Z score when given the mean and standard deviation
+12121,12121,What is the cost function in SVM
+12122,12122,What is gamma parameter in SVM
+12123,12123,What is measure of central location in statistics
+12124,12124,What does center mean in statistics
+12125,12125,Which of the following is a measure of central location
+12126,12126,Can you use nominal data in regression
+12127,12127,What does the T score mean in statistics
+12128,12128,How do you find the T score
+12129,12129,Is T score the same as Z score
+12130,12130,Is T score a standard score
+12131,12131,What is exploration in reinforcement learning
+12132,12132,How do you calculate FDR
+12133,12133,What do we use dimensional analysis for
+12134,12134,How does K Nearest Neighbor algorithm work
+12135,12135,What is automatic modulation classification
+12136,12136,What are different modulation techniques
+12137,12137,What do you mean by amplitude modulation
+12138,12138,How can model generalization be improved
+12139,12139,Why is random sampling important in an experiment
+12140,12140,Why was augmented reality created
+12141,12141,When was augmented reality created
+12142,12142,How do you read a survival plot
+12143,12143,What is a tracking filter
+12144,12144,How does object tracking work
+12145,12145,What is unscented Kalman filter
+12146,12146,What is the point of least squares regression line
+12147,12147,What do you mean by binomial theorem
+12148,12148,How do you measure regression accuracy
+12149,12149,How correlation is calculated
+12150,12150,What is another word for coefficient
+12151,12151,How do you find the coefficient of a term
+12152,12152,What are the two types of heuristics
+12153,12153,Is artificial intelligence a science or engineering
+12154,12154,What are the 2 types of artificial intelligence
+12155,12155,How do you solve sampling distributions
+12156,12156,How do you find the distribution of data
+12157,12157,What are good learning styles
+12158,12158,What is the difference between random variables and random process
+12159,12159,What is deep in deep learning
+12160,12160,How do you extract information from unstructured data
+12161,12161,How will you extract relevant information
+12162,12162,How do I extract keywords from text
+12163,12163,What is the difference between bagging and random forest
+12164,12164,Why do we use standard deviation and variance
+12165,12165,What is the use of standard deviation
+12166,12166,What is more useful variance or standard deviation
+12167,12167,What are the consequences of autocorrelation
+12168,12168,What does negative serial correlation mean
+12169,12169,Does Random Forest reduce variance
+12170,12170,Is random forest better than decision tree
+12171,12171,What is Perceptron in artificial neural network
+12172,12172,Which statistical procedure will you follow to find out the difference between the overall pretest and posttest scores
+12173,12173,Which test is used for samples of two different times namely pre and post
+12174,12174,How do you know which statistical test to use
+12175,12175,How many parameters are in the convolutional layer
+12176,12176,How many parameters does ResNet have
+12177,12177,What is variance estimation
+12178,12178,What is the estimated variance of the error terms
+12179,12179,How does a computer recognize images
+12180,12180,What is ReLU function in deep learning
+12181,12181,What are the advantages and disadvantages of using one tailed vs two tailed tests
+12182,12182,What statistical test should you run if one of your variables is categorical and you want to test an association claim
+12183,12183,What is entropy in communication
+12184,12184,What is the relation between entropy and mutual information
+12185,12185,What are the filters in CNN
+12186,12186,What will happen if we set all the weights to zero instead of random weight initializations in NN for a classification task
+12187,12187,How does Word2vec deal with unknown words
+12188,12188,What are the major limitation of statistics
+12189,12189,Which of the following is a limitation of descriptive statistics compared to inferential statistics
+12190,12190,What is inferential problem
+12191,12191,What is the normal probability density function
+12192,12192,Is normal distribution a density curve
+12193,12193,What is the difference between DNN and CNN
+12194,12194,Why is CNN good for image classification
+12195,12195,What does a sigmoidal curve indicate
+12196,12196,What are phases of sigmoid curve
+12197,12197,Are neural networks Bayesian
+12198,12198,Is the correlation coefficient The slope
+12199,12199,How do you find slope from correlation coefficient
+12200,12200,What would it mean if the slope of the regression line were equal to 0
+12201,12201,What is meant by deep neural network
+12202,12202,How Do You Measure K means performance
+12203,12203,How do you validate K means clustering
+12204,12204,What K score means
+12205,12205,What is difference between supervised learning and unsupervised learning
+12206,12206,What is the difference between supervised learning and reinforcement learning
+12207,12207,What is the advantage of systematic random sampling
+12208,12208,What are the advantages and disadvantages of random sampling
+12209,12209,What is stratified sampling advantages and disadvantages
+12210,12210,Who invented reinforcement learning
+12211,12211,How do you combine normal random variables
+12212,12212,What happens when you add two normal distributions
+12213,12213,Is the sum of two independent random variables independent
+12214,12214,Why is the sum of independent normal random variables normal
+12215,12215,What is future of artificial intelligence
+12216,12216,What are the properties of maximum likelihood estimator
+12217,12217,How do you program machine learning
+12218,12218,Which programming language is used for machine learning
+12219,12219,Is there coding in machine learning
+12220,12220,How are AI programmed
+12221,12221,What does entropy mean
+12222,12222,What is purpose of entropy in data analysis
+12223,12223,What is enthalpy and entropy with example
+12224,12224,What is the relationship between enthalpy and entropy
+12225,12225,Why can't we use linear regression for classification
+12226,12226,Can we use regression for classification problems
+12227,12227,Can linear regression be used for binary classification
+12228,12228,How do you measure test accuracy
+12229,12229,What is the accuracy of a test
+12230,12230,How do you find P value from Z score
+12231,12231,How do you find P value from Z test in Excel
+12232,12232,Why do we use cross entropy
+12233,12233,What is an image matching technique
+12234,12234,How do you apply reinforcement to learning
+12235,12235,What is random forest used for
+12236,12236,Can random forest be used for classification
+12237,12237,What is the activation function used in Perceptron network
+12238,12238,What is the purpose of the activation function in a multi layer Perceptron
+12239,12239,Is the correlation coefficient r or r2
+12240,12240,What does r2 correlation mean
+12241,12241,What is R vs r2
+12242,12242,Why is it called error function
+12243,12243,How do you find error function
+12244,12244,What does the error function do in Matlab
+12245,12245,How do attention mechanisms work
+12246,12246,How are attention weights calculated
+12247,12247,Is machine learning iterative
+12248,12248,Are the steps in the machine learning process apply once or iterative
+12249,12249,What is Turing machine
+12250,12250,What is an MDS plot
+12251,12251,Why is the correlation coefficient less than 1
+12252,12252,What does a correlation of mean what does a correlation of +1 mean what does a correlation of 0 mean
+12253,12253,What does a correlation coefficient near +1 mean
+12254,12254,How are word Embeddings created
+12255,12255,Who invented word Embeddings
+12256,12256,What causes high entropy
+12257,12257,What does an increase in entropy mean
+12258,12258,Which reaction shows an increase in entropy
+12259,12259,How do you tell if there is an increase or decrease in entropy
+12260,12260,Can continuous data be measured
+12261,12261,What is structural equation Modelling
+12262,12262,What is structural equation modeling PPT
+12263,12263,Can we use L2 regularization for feature selection
+12264,12264,What are the conditions for regression
+12265,12265,Why regression analysis is used in research
+12266,12266,What is the importance of regression analysis
+12267,12267,How do you measure integrity
+12268,12268,How do you know if data is non parametric
+12269,12269,What is non parametric data
+12270,12270,What are the measures for parametric and non parametric data
+12271,12271,What does it mean for a variable to be exogenous
+12272,12272,What is an exogenous variable in statistics
+12273,12273,What is the best neural network model
+12274,12274,In which model neural network is used
+12275,12275,What is an advantage of the correlation coefficient over the covariance
+12276,12276,What are the strengths and weaknesses of correlation analysis
+12277,12277,How do you do multiclass classification with random forest
+12278,12278,What is Test loss
+12279,12279,Why can't we use accuracy as a loss function
+12280,12280,Why do we need unsupervised learning
+12281,12281,What is the mean of a T score distribution
+12282,12282,What is the relationship between naïve Bayes and Bayesian networks What is the process of developing a Bayesian networks model
+12283,12283,What is the use of image processing
+12284,12284,What is unbiased estimator in statistics
+12285,12285,How should we define S 2 to make sure that it is an unbiased estimator of σ 2
+12286,12286,Why do we use convenience sampling
+12287,12287,How do you calculate precision and recall accuracy
+12288,12288,What does learning rate mean in machine learning
+12289,12289,How is the chaos theory used today
+12290,12290,Who created chaos theory
+12291,12291,Why a linear regression is also called a least squares regression model
+12292,12292,Why do we use log likelihood instead of likelihood
+12293,12293,Is Pearson r the same as correlation coefficient
+12294,12294,Where is the mean on a normal distribution curve
+12295,12295,How do you find the dissimilarity between objects described by binary variables
+12296,12296,What is correlation definition
+12297,12297,What is low rank matrix
+12298,12298,What is matrix factorization in machine learning
+12299,12299,What are the stationary assumptions that meet with the stochastic process of time series
+12300,12300,What does stationary mean in statistics
+12301,12301,What is stationarity and nonstationarity
+12302,12302,Why is E used in logarithms
+12303,12303,Is Log Base E the same as LN
+12304,12304,What does vectorization mean in Matlab
+12305,12305,What does the vectorize command do
+12306,12306,What is meant by vectorization
+12307,12307,How do you write a vector code
+12308,12308,What is stochastic in machine learning
+12309,12309,What is the difference between R square and adjusted R Square
+12310,12310,Why adjusted R squared is better
+12311,12311,What does the R2 statistic tell you
+12312,12312,What is threshold value in logistic regression
+12313,12313,How do you set threshold value in machine learning
+12314,12314,When should you consider logistic regression
+12315,12315,What is consistency of data in statistics
+12316,12316,What does multimodal mean in statistics
+12317,12317,What is a multimodal model
+12318,12318,How agents can be used in AI
+12319,12319,What are rational agents in AI
+12320,12320,What is pixel shading
+12321,12321,How do you find the frequency from relative frequency
+12322,12322,What's a relative frequency distribution
+12323,12323,What are the measures of skewness and kurtosis
+12324,12324,What is skewness explain methods of studying skewness
+12325,12325,How do you determine skewness
+12326,12326,What is true negative
+12327,12327,Why autocorrelation is a problem
+12328,12328,What are the effects of autocorrelation
+12329,12329,How do you calculate recall from confusion matrix
+12330,12330,How do you calculate multiclass of a confusion matrix
+12331,12331,What are types of probability sampling
+12332,12332,What is the easiest and most common type of probability sampling
+12333,12333,What is the difference between simple random sampling and stratified random sampling
+12334,12334,How relative frequency is related to probability distributions
+12335,12335,Is relative frequency probability
+12336,12336,What is joint probability statistics
+12337,12337,How does AI genetic algorithm work
+12338,12338,Why do we use Bayesian statistics
+12339,12339,Is the predictor variable The independent variable
+12340,12340,What does predictor variable mean
+12341,12341,What is an independent predictor
+12342,12342,What is the same as the independent variable
+12343,12343,Why do we need regression
+12344,12344,What does AI mean
+12345,12345,Who invented the term AI
+12346,12346,How do you deal with high imbalanced data
+12347,12347,What is considered an imbalanced dataset
+12348,12348,How does the least squares method work
+12349,12349,What does the regression line represent
+12350,12350,Which function S can you call to reshape a PyTorch tensor
+12351,12351,What are the characteristics of binomial distribution
+12352,12352,What makes a binomial distribution
+12353,12353,What is the difference between repeatability and precision
+12354,12354,What does mean and standard deviation show
+12355,12355,What do standard deviation results mean
+12356,12356,What do the symbols in standard deviation mean
+12357,12357,What is homogeneity test in statistics
+12358,12358,What problems does Heteroskedasticity cause
+12359,12359,How do you test for heteroskedasticity in R
+12360,12360,What is experimental research used for
+12361,12361,Where is true experimental design used
+12362,12362,What is an associative network
+12363,12363,What is associative network in artificial intelligence
+12364,12364,What describes an auto associative network
+12365,12365,What are Optimizers
+12366,12366,What is learning theory in machine learning
+12367,12367,What is multiclass classification problem
+12368,12368,What is adaptive filter in image processing
+12369,12369,What is LMS adaptive filter
+12370,12370,What is residual correlation
+12371,12371,What happens if the Regressors are correlated
+12372,12372,How do you check if residuals are correlated
+12373,12373,What does partitioning mean explain and illustrate
+12374,12374,What is the purpose of partitioning
+12375,12375,What is the difference between one way and factorial Anova
+12376,12376,What is one way Anova
+12377,12377,How do you do a depth first search
+12378,12378,Why is DFS o v e
+12379,12379,What does it mean for a matrix A to be invertible
+12380,12380,Why do we use random sampling
+12381,12381,What is random sampling and why is it used
+12382,12382,What is the key feature of random sampling
+12383,12383,What are marginal effects in regression
+12384,12384,How is marginal impact calculated
+12385,12385,Under what conditions is the center of gravity and center of mass coincide
+12386,12386,What is the relationship between the center of mass and the pivot point
+12387,12387,What is example of isolated system
+12388,12388,Can observational studies show causation
+12389,12389,What type of study can show causation
+12390,12390,Can causation be determined from a survey
+12391,12391,What is kernel trick and how is it useful
+12392,12392,What is a kernel explain the kernel trick
+12393,12393,What are kernels used for
+12394,12394,What is the difference between Word2vec and doc2vec
+12395,12395,What is the difference between computer vision and image processing
+12396,12396,What is computer vision in image processing
+12397,12397,What is meant by computer vision
+12398,12398,What should be practiced to avoid algorithmic bias
+12399,12399,Is Word2vec deep learning
+12400,12400,What is Word2vec used for
+12401,12401,Is Word2vec supervised or unsupervised
+12402,12402,Is Word2vec a language model
+12403,12403,Is Regression a non parametric test
+12404,12404,Are regression trees Parametric
+12405,12405,Why precision and accuracy are determined and compared
+12406,12406,How do accuracy and precision relate to reporting information
+12407,12407,What does a lower significance level mean
+12408,12408,What happens if the p value is low
+12409,12409,Is Boosting ensemble a learning
+12410,12410,How is R2 value calculated
+12411,12411,What is coefficient of determination and why is it calculated
+12412,12412,How do you handle uncertainty in artificial intelligence
+12413,12413,What are the sources of uncertainty in artificial intelligence
+12414,12414,Why does uncertainty arise in AI
+12415,12415,What problems do artificial intelligence systems include
+12416,12416,How do you do marginal distribution
+12417,12417,What is marginal distribution in statistics
+12418,12418,Which country will use artificial intelligence
+12419,12419,What is cluster analysis explain different types of clusters
+12420,12420,What is big data and examples
+12421,12421,How do you find the number of events in a sample space
+12422,12422,How many sample points are in the sample space
+12423,12423,How many elements are in a sample space
+12424,12424,What are disjoint sets examples
+12425,12425,What does it mean if events are disjoint
+12426,12426,What is an example of a independent event
+12427,12427,How do you interpret odds ratios in logistic regression
+12428,12428,How do you interpret a logistic regression coefficient
+12429,12429,What is the significance of using masks in edge detection
+12430,12430,Which edge detection method is effective
+12431,12431,What is the law of large numbers with respect to histogram
+12432,12432,What does it mean by false negative
+12433,12433,What is the difference between false positive and false negative in security
+12434,12434,What does the sum of squares error represent
+12435,12435,What does the sum of squares tell you
+12436,12436,Do we need fully connected output layers in convolutional networks
+12437,12437,How can you determine if a regression model is good enough
+12438,12438,How do you know which predictor is better
+12439,12439,What is the basic difference between best first search and A * search algorithms
+12440,12440,What is difference between A * and AO * algorithm
+12441,12441,Is a star a greedy algorithm
+12442,12442,What is bootstrapping explain with example
+12443,12443,What is the difference between T and F test
+12444,12444,What is meant by LDA
+12445,12445,What is GLM test
+12446,12446,What is hinge loss formulation for SVM
+12447,12447,What is the loss function of SVM
+12448,12448,What is the purpose of median in statistics
+12449,12449,What is the use of median in real life
+12450,12450,Is it better to use median or average
+12451,12451,What are the tools for data analysis
+12452,12452,What are the basic approaches of collaborative filtering
+12453,12453,What is true about content based filtering
+12454,12454,What causes overfitting in neural network
+12455,12455,How does OLS regression work
+12456,12456,What is dissimilarity matrix
+12457,12457,Is machine learning computer science or statistics
+12458,12458,What does inference mean in statistics
+12459,12459,What is the difference between multiple regression and stepwise regression
+12460,12460,How do you calculate accuracy example
+12461,12461,What is transfer learning in AI
+12462,12462,What is the equation for multiple regression
+12463,12463,What can be said about the eigenvalues of a unitary matrix
+12464,12464,What is eigen value of a matrix
+12465,12465,What are the possible eigenvalues of an idempotent matrix
+12466,12466,How do you find the mean of a continuous series
+12467,12467,How do you find the standard deviation of a continuous series
+12468,12468,What is the formula to find mean deviation
+12469,12469,How do you find the mean deviation for group data
+12470,12470,What is the difference between big data and data mining
+12471,12471,Is data mining part of data analytics
+12472,12472,What comes under big data
+12473,12473,What is the role of big data in data mining
+12474,12474,What does the mid range tell us
+12475,12475,What is medium range
+12476,12476,How do you find the mid range
+12477,12477,What is the moment generating function for binomial distribution
+12478,12478,How do you find the expected variable
+12479,12479,Why is the mean important in statistics
+12480,12480,How do I find the mean in statistics
+12481,12481,How do you know if an event is dependent or independent
+12482,12482,What does it mean when events are independent
+12483,12483,What is the second moment about mean
+12484,12484,How do you create adversarial example
+12485,12485,What is Time Series in machine learning
+12486,12486,What is Time Series Analysis & how is it used
+12487,12487,How is a linear relationship between two variables measured in statistics quizlet
+12488,12488,How do you measure the strength of the linear relationship between the two variables
+12489,12489,How do you find the relationship between two variables in statistics
+12490,12490,What is time series analysis and how is it used
+12491,12491,What is one type of time series forecasting
+12492,12492,What is artificial intelligence with example
+12493,12493,What can artificial general intelligence do
+12494,12494,How do you find the continuous variable
+12495,12495,How do you identify a continuous and discrete random variable
+12496,12496,Is linear discriminant analysis a form of clustering
+12497,12497,What is the meaning of cluster analysis
+12498,12498,How do you create a dataset for image classification
+12499,12499,What is Logits in machine learning
+12500,12500,What is Logits in neural network
+12501,12501,What is uncertainty in artificial intelligence
+12502,12502,What is noise in linear regression
+12503,12503,What is TensorFlow and how is it used
+12504,12504,What's the use of TensorFlow
+12505,12505,What is TensorFlow based on
+12506,12506,What is test retest validity
+12507,12507,How do you find the probability of a Type II error
+12508,12508,What happens to the probability of making a Type II error as the level of significance decreases Why
+12509,12509,What causes Type 2 error
+12510,12510,What is the main disadvantage of classification of data
+12511,12511,What are the problems of classification
+12512,12512,How can I train myself to multitask
+12513,12513,How can I improve my multitasking skills
+12514,12514,Why is it hard to multitask
+12515,12515,How does autocorrelation affect regression
+12516,12516,Why is autocorrelation bad in regression
+12517,12517,How do you deal with autocorrelation in linear regression
+12518,12518,What is interpretation in machine learning
+12519,12519,What is interpretable AI
+12520,12520,What does the kappa statistic measure
+12521,12521,How do you create an empirical distribution
+12522,12522,What box plot represents the data
+12523,12523,What are the benefits of using a box plot
+12524,12524,How do you interpret positive skewness
+12525,12525,How do you interpret skewness in SPSS
+12526,12526,What is inductive bias in ML
+12527,12527,When should we use harmonic mean
+12528,12528,What is the advantage of using the harmonic mean rather than averaging using the arithmetic mean )
+12529,12529,What does the r2 value explain
+12530,12530,How do you interpret a coefficient of determination equal to
+12531,12531,How is the coefficient of determination calculated
+12532,12532,What does autocorrelation mean
+12533,12533,What is ACF in forecasting
+12534,12534,What is autocorrelation in probability
+12535,12535,What are the goals of statistics
+12536,12536,What is the purpose of learning statistics
+12537,12537,What is the importance of statistics in real life
+12538,12538,Why do we need statistics
+12539,12539,What is Bayesian thinking
+12540,12540,How does stepwise selection work
+12541,12541,Why do we use SSE instead of r2 in non linear regression
+12542,12542,What are the limitations of the least square method
+12543,12543,What is meant by signal processing
+12544,12544,What is the quantization of energy
+12545,12545,Why do we use convolutional neural networks
+12546,12546,Why should we use CNN
+12547,12547,What does density mean in a histogram
+12548,12548,What is the relationship between density curves and normal distribution
+12549,12549,What are the advantages of using density curves instead of Histogram
+12550,12550,What is a density curve
+12551,12551,What is Knn and its application
+12552,12552,Can categorical variables be used in linear regression
+12553,12553,What is a regression variable
+12554,12554,What is linear regression one variable
+12555,12555,Can cosine distance be negative
+12556,12556,What is the shape of the T distribution
+12557,12557,How does the shape of a T distribution change as the sample size increases explain
+12558,12558,What is the sum of the probabilities in a uniform probability distribution
+12559,12559,How is learning rate calculated
+12560,12560,What are the signs of deception
+12561,12561,What are examples of deception
+12562,12562,What are three deception signs
+12563,12563,How is KNN algorithm implemented
+12564,12564,How does Knn determine value of K
+12565,12565,What is the opposite of stochastic
+12566,12566,What is stochastic and deterministic
+12567,12567,What is considered a normal distribution
+12568,12568,What industry uses AI
+12569,12569,In what fields are AI applied
+12570,12570,How does the Gaussian filter work
+12571,12571,What does average deviation tell you
+12572,12572,Has the Monty Hall problem been tested
+12573,12573,What is naive in naive Bayes algorithm
+12574,12574,What is recommendation system in machine learning
+12575,12575,What is classification in image processing
+12576,12576,Which is better linear or logistic regression
+12577,12577,What is the difference between a ratio scale of measurement and an interval scale of measurement
+12578,12578,What is the difference between interval and ratio data
+12579,12579,How do you get a sample to estimate a population mean
+12580,12580,What are sample statistics used to estimate
+12581,12581,When estimating the population mean with a small sample
+12582,12582,Which is a type of entropy coding
+12583,12583,What does K signifies in K means algorithm
+12584,12584,When to use K means
+12585,12585,Is median affected by extreme values
+12586,12586,What does the covariance tell us
+12587,12587,What does covariance correlation measure
+12588,12588,What is a high covariance value
+12589,12589,How does AI improve humanity
+12590,12590,How does AI affect human rights
+12591,12591,What is the loss function used for logistic regression
+12592,12592,What is the normal approximation to the binomial distribution
+12593,12593,What are two characteristics of artificial intelligence
+12594,12594,What is network analysis
+12595,12595,What is network analysis in data science
+12596,12596,How do you analyze network data
+12597,12597,Are simulations needed for reinforcement learning
+12598,12598,What is the difference between local and global minima Maxima
+12599,12599,How do the mean and median compare
+12600,12600,How does the mean and median compare in a uniform distribution
+12601,12601,What is the relationship between mean mode and median for a distribution
+12602,12602,What is a P value and how is it used to make a decision about the null hypothesis
+12603,12603,What a P value tells you about statistical significance
+12604,12604,What does a P value mean
+12605,12605,Why do you log transform data
+12606,12606,How do you know when to transform data
+12607,12607,How do you report log transformed data
+12608,12608,How do you reverse a log transformation
+12609,12609,Does a simple linear regression model appear to be appropriate
+12610,12610,What is considered a high coefficient of variation
+12611,12611,How do you know if a model is statistically significant
+12612,12612,What is strata in data
+12613,12613,What is Strata size
+12614,12614,What is the difference between strata and cluster
+12615,12615,How do you create an expert system
+12616,12616,What is expert system with example
+12617,12617,What are the two parameters of a lognormal distribution
+12618,12618,What is temporal data in GIS
+12619,12619,How do you know if a regression model is statistically significant
+12620,12620,How do you determine if a coefficient is statistically significant
+12621,12621,What does lowering learning rate in gradient descent leads to gradient overshooting
+12622,12622,How do you interpret the area under the ROC curve
+12623,12623,What is smoothing in naive Bayes
+12624,12624,How does the naive Bayesian classification works explain
+12625,12625,How do you explain sample size
+12626,12626,How do you determine if there is a correlation between two variables
+12627,12627,What statistical test is used for correlations
+12628,12628,Which kind of test can be applied for correlation analysis
+12629,12629,How do you interpret Jaccard's coefficient
+12630,12630,What is meant by similarity index
+12631,12631,What does the T value tell you
+12632,12632,What is significance level in t test
+12633,12633,Why do we use bootstrap in statistics
+12634,12634,What is the use of neural network
+12635,12635,Are the mean and variance equal in the Poisson distribution
+12636,12636,Which distribution has mean and variance same
+12637,12637,How do you find the variance of a Poisson distribution
+12638,12638,How do I convert a text file to data
+12639,12639,Which file formats are supported by Weka
+12640,12640,What type of analysis is chi square
+12641,12641,Is t test a univariate analysis
+12642,12642,How do you find corresponding z scores
+12643,12643,What is the z score corresponding to the mean
+12644,12644,How do you find the area of a shaded Z score
+12645,12645,Can a regression be nonlinear
+12646,12646,What is nonlinear regression analysis
+12647,12647,What is a neuron in AI
+12648,12648,What is the role of a neuron in a neural network
+12649,12649,What is batch learning
+12650,12650,How do you interpret probability
+12651,12651,What is density and how is it measured
+12652,12652,What does density measure mean
+12653,12653,How do you find the density
+12654,12654,Does a scale measure density
+12655,12655,What is binning technique
+12656,12656,Is Google considered AI
+12657,12657,What are the examples of AI
+12658,12658,What are the degrees of freedom in a chi square test
+12659,12659,What are the degrees of freedom for a chi square test of independence conducted on a 5x4 contingency table
+12660,12660,How do you find the degrees of freedom for a chi square goodness of fit test
+12661,12661,What is an image based backup
+12662,12662,What is the difference between a backup and a system image
+12663,12663,What is image level
+12664,12664,When should a paired t test be performed instead of a two sample t test a paired t test should be performed instead of a two sample t test when the variable of interest is categorical a paired t test should be performed instead of a two sample t
+12665,12665,When would you use a paired sample t test
+12666,12666,When should a paired t test be performed choose the correct answer below a A paired t test should be performed when the variable of interest is quantitative There are two groups being compared and the samples taken are independent B A paired t test should be performed when the variable
+12667,12667,What are the conditions for a paired t test
+12668,12668,How do you know if a variable is discrete
+12669,12669,How can I learn algorithms faster
+12670,12670,How can I improve my algorithm skills
+12671,12671,What is AI translation
+12672,12672,What is machine translation and its types
+12673,12673,How do you determine the number of neurons in an output layer
+12674,12674,How many neurons are there in output layer of artificial neural network
+12675,12675,What is the definition of binomial probability distribution
+12676,12676,What is a log log transformation
+12677,12677,Which of the following analysis is done when you have two dependent variables
+12678,12678,How do you compare two dependent variables in SPSS
+12679,12679,What is a two variable analysis
+12680,12680,Can Z scores be used for skewed
+12681,12681,What can Z scores be used for
+12682,12682,What does Association mean in statistics
+12683,12683,What is Association and correlation
+12684,12684,How do you know if you have an association
+12685,12685,What is CA in statistics
+12686,12686,What is the meaning of non parametric test
+12687,12687,Can we use XGBoost for regression
+12688,12688,How does XGBoost work for regression
+12689,12689,Is XGBoost a classification or regression
+12690,12690,Is gradient boosting linear regression
+12691,12691,Which type of series have class interval
+12692,12692,How is time series different from the usual regression problem
+12693,12693,What is the difference between regression and forecasting
+12694,12694,What does time series mean
+12695,12695,How do you analyze cluster analysis
+12696,12696,How can Investigations prevent bias
+12697,12697,Why should we eliminate bias in our investigations
+12698,12698,What is the difference between standard deviation and coefficient of variation
+12699,12699,How do you interpret standard deviation and variance
+12700,12700,What does the mean and standard deviation tell you
+12701,12701,What is the metric system simple definition
+12702,12702,What are the example of metric system
+12703,12703,How do I make my neural network better
+12704,12704,How can CNN model be improved
+12705,12705,How can I speed up my neural network training
+12706,12706,Why is neural network better
+12707,12707,What are CNN models
+12708,12708,What is Laplacian of Gaussian in image processing
+12709,12709,Why Laplacian operator is normally used for image sharpening operations
+12710,12710,What is the purpose of the kernel trick in SVM
+12711,12711,What is kernel scale in SVM
+12712,12712,What is SVM discuss support vector kernel types
+12713,12713,What is meant by batch size
+12714,12714,What does anomaly detection mean
+12715,12715,What is unsupervised learning method
+12716,12716,What is the difference between a standard normal distribution and a normal distribution
+12717,12717,How do you convert uniform distribution to normal distribution
+12718,12718,Which algorithm is used in supervised learning
+12719,12719,How does a machine learning algorithm work
+12720,12720,How does deep learning algorithm work
+12721,12721,What does a significance of 0.000 mean
+12722,12722,How do you know what level of significance to use
+12723,12723,What determines a normal distribution
+12724,12724,What is a normal distribution and what conditions make a distribution normal
+12725,12725,Does reinforcement learning need training data
+12726,12726,What is offline reinforcement learning
+12727,12727,What is meant by regression model
+12728,12728,What is batch normalization used for
+12729,12729,What are the advantages and disadvantages of clustering data
+12730,12730,What conditions are required by the central limit theorem before a confidence interval of the population mean may be created
+12731,12731,Is gradient descent deterministic
+12732,12732,What does a continuous variable mean
+12733,12733,Is a random variable always continuous
+12734,12734,What is input and output unit with example
+12735,12735,What is an IO unit
+12736,12736,How do you interpret a negative regression coefficient
+12737,12737,What does a negative coefficient mean
+12738,12738,How do you find the critical and rejection region on a TI 84
+12739,12739,How do you improve linear regression model
+12740,12740,How do you evaluate the accuracy of a regression model
+12741,12741,What makes a good linear regression model
+12742,12742,What are the 2 types of inferential statistics
+12743,12743,How many types of inferential tests are there
+12744,12744,What are the two main methods used in inferential statistics
+12745,12745,Why is odds ratio used in case control studies
+12746,12746,How do you find the odds ratio
+12747,12747,Is the standard deviation a measure of central tendency or dispersion
+12748,12748,Which are examples of a measure of central tendency
+12749,12749,Why is validation necessary in machine learning
+12750,12750,Is the Gini Coefficient a good measure of inequality
+12751,12751,What is the relationship between probability and inferential statistics
+12752,12752,What is the relationship between probability and statistics
+12753,12753,What is probability and statistical inference
+12754,12754,How do statisticians use probability
+12755,12755,What is included in exploratory data analysis
+12756,12756,What is the use of explanatory data analysis
+12757,12757,What is meant by time series
+12758,12758,What are types of convolution
+12759,12759,What are the different types of CNN
+12760,12760,How many types of convolutional neural networks are there
+12761,12761,What are the different types of data structures
+12762,12762,What is the basic concept of estimation
+12763,12763,What is theory of estimation in statistics
+12764,12764,How do you read a standardized score
+12765,12765,What are covariates in a study
+12766,12766,What is the difference between a covariate and an independent variable
+12767,12767,What are the two main reasons for including covariates in Anova
+12768,12768,What are the different regularization techniques to overcome over fitting
+12769,12769,Which is not a regularization method
+12770,12770,Does a histogram show the median
+12771,12771,How do we find the median
+12772,12772,What is descriptive statistics in statistics
+12773,12773,How do you know if its a statistic or parameter
+12774,12774,What is the difference between statistic and statistics
+12775,12775,What is amplitude spectrum
+12776,12776,How do you find Fourier amplitude
+12777,12777,How do you find the amplitude of a spectrum
+12778,12778,What is FFT magnitude
+12779,12779,Is P value and significance the same
+12780,12780,Why do we use frequency analysis
+12781,12781,What is a cell in Lstm
+12782,12782,What are the benefits of multimodal learning
+12783,12783,What is loss value in deep learning
+12784,12784,What is epoch and batch in deep learning
+12785,12785,What is epoch in deep learning
+12786,12786,What does it mean when something is variable
+12787,12787,What is considered a strong correlation coefficient
+12788,12788,What does a correlation coefficient of 0.3 mean
+12789,12789,How do you calculate relative frequency in Excel
+12790,12790,What does validity mean in assessment
+12791,12791,What is validity and reliability in assessment
+12792,12792,How do you ensure validity in assessment
+12793,12793,What is the difference between validity and reliability in assessment
+12794,12794,Why is ReLU so popular
+12795,12795,What is the critical value at the 0.02 level of significance
+12796,12796,What is meant by the phrase association is not causation
+12797,12797,How do you normalize bounding box coordinates
+12798,12798,What is a basis function in machine learning
+12799,12799,What is filter in image processing
+12800,12800,What is smoothing filter in image processing
+12801,12801,How do you use a decision tree
+12802,12802,What is a decision tree in ML
+12803,12803,When should you use random forest
+12804,12804,When use neural network vs random forest
+12805,12805,Is random number generator an example of AI
+12806,12806,What is a fallacy example
+12807,12807,What is meant by the term curse of dimensionality
+12808,12808,How do you find the dataset
+12809,12809,How do you find the datasets for machine learning
+12810,12810,What is TF IDF model
+12811,12811,What can you do with computer vision
+12812,12812,Why do you like computer vision
+12813,12813,Why is P value of 0.05 Significant
+12814,12814,What is recall in confusion matrix
+12815,12815,How can you tell if two events are independent or dependent
+12816,12816,Are A and a complement independent events
+12817,12817,What are different types of classification algorithms
+12818,12818,What are the Hyperparameters of SVM
+12819,12819,What is the purpose of class boundaries
+12820,12820,What is the difference between a class limit and a class boundary
+12821,12821,What is AUC formula
+12822,12822,How do you calculate AUC from TPR to FPR
+12823,12823,What are the characteristics of international communication
+12824,12824,How do you communicate internationally
+12825,12825,What is a randomized quicksort
+12826,12826,Why is quicksort randomized
+12827,12827,What is randomized quicksort Analyse the expected running time of randomized quicksort with the help of a suitable example
+12828,12828,Why IIR filter is unstable
+12829,12829,What does an IIR filter do
+12830,12830,How do you calculate flux using the divergence theorem
+12831,12831,Is divergence the same as flux
+12832,12832,What does divergence theorem tell us
+12833,12833,How do I choose an ARMA model
+12834,12834,How do you interpret normality
+12835,12835,What P value indicates normality
+12836,12836,What is a uniform distribution in statistics
+12837,12837,What is boosting vs bagging
+12838,12838,How do you improve classification
+12839,12839,How do you classify an image
+12840,12840,Which are the important image classification aspects
+12841,12841,Is SPSS a statistical test
+12842,12842,How are confidence intervals used in real life
+12843,12843,How do you find the p of a binomial distribution
+12844,12844,How do you find probability with N and P
+12845,12845,What is LDA in text mining
+12846,12846,When should a one tailed test be used a two tailed test
+12847,12847,How do you know if a test is one tailed or two tailed
+12848,12848,Do we need to normalize data for linear regression
+12849,12849,What is normalize in linear regression
+12850,12850,Can temporal difference and Q learning learn representation a mean field theory
+12851,12851,What is Hyperparameter optimization in machine learning
+12852,12852,How is the grid search method used in Hyperparameter optimization
+12853,12853,Which dataset you would use for Hyperparameter tuning
+12854,12854,When did AI start
+12855,12855,How do you create a deep learning model
+12856,12856,How do you make a deep neural network from scratch
+12857,12857,What is deep learning model
+12858,12858,What is the difference between T and F statistic
+12859,12859,What is data partitioning used for
+12860,12860,What does finite mean in statistics
+12861,12861,What are neural networks in AI
+12862,12862,What is artificial neural network explain with an example
+12863,12863,What does Least squares mean in LSRL
+12864,12864,What is label in image
+12865,12865,What are connected components in image processing
+12866,12866,What is label matrix in Matlab
+12867,12867,Are implicit bias and unconscious bias the same thing
+12868,12868,What is unconscious bias mean
+12869,12869,How is entropy related to information
+12870,12870,What is meant by entropy of an image
+12871,12871,How do you find the population mean from the sample mean
+12872,12872,How do you calculate population and sample
+12873,12873,How do you calculate population mean from sample mean in Excel
+12874,12874,Is range a measure
+12875,12875,Is range a measure of center or spread
+12876,12876,What does measure of location mean
+12877,12877,What is a least squares estimate
+12878,12878,What is generalization neural network
+12879,12879,What is meant by model generalization
+12880,12880,What do AIC and BIC mean
+12881,12881,What is AIC in statistics
+12882,12882,What is AIC and BIC in machine learning
+12883,12883,What does BIC mean in statistics
+12884,12884,What is clustering used for in machine learning
+12885,12885,What are the characteristics of a binomial experiment
+12886,12886,What is Max pooling used for
+12887,12887,What is covariance and correlation in statistics
+12888,12888,How do you find covariance in statistics
+12889,12889,What is inference engine in artificial intelligence
+12890,12890,Why is expert system needed
+12891,12891,What level of statistics is needed for data science
+12892,12892,How statistics is used in data science
+12893,12893,What is the best regression algorithm
+12894,12894,How do you find the maximum likelihood
+12895,12895,What is maximum likelihood classification
+12896,12896,What is the difference between discriminant analysis and logistic regression
+12897,12897,What is the use of discriminant analysis
+12898,12898,What is Anova and its uses
+12899,12899,What is the basic principle of Anova
+12900,12900,Is GLM linear
+12901,12901,What causes bias in statistics
+12902,12902,How do you remove sample bias
+12903,12903,How is statistics used in anthropology
+12904,12904,How can we reduce learning rate
+12905,12905,What are the limitations of intelligence
+12906,12906,Is it safe to assume that the sampling distribution
+12907,12907,Why is it important for a sampling distribution to be normal
+12908,12908,Why do we use exploratory factor analysis
+12909,12909,What are the main objectives of factor analysis
+12910,12910,What are advancements in artificial intelligence
+12911,12911,What is vector model in information retrieval
+12912,12912,What is a vector model
+12913,12913,What is the meaning of vector space
+12914,12914,What type of model is used for text retrieval
+12915,12915,How many types of image segmentation are there
+12916,12916,What do you mean by image segmentation
+12917,12917,What is the need of image segmentation
+12918,12918,What is image segmentation in Matlab
+12919,12919,Is sample variance the same as standard deviation
+12920,12920,What is the meaning of sample variance
+12921,12921,What is central tendency in statistics
+12922,12922,How do you find the central value
+12923,12923,How does NLP work in machine learning
+12924,12924,Why is probability sampling not applicable to qualitative research
+12925,12925,Why is non probability sampling used
+12926,12926,Why are probability sampling methods important for qualitative research
+12927,12927,How do I encrypt a message with RSA
+12928,12928,What is a mode interval
+12929,12929,How do I calculate the mode
+12930,12930,When was AI first invented
+12931,12931,How do you find the simple matching coefficient
+12932,12932,What is segmentation in machine learning
+12933,12933,Why segmentation is important in image processing
+12934,12934,What is a segmentation mask
+12935,12935,Which are the ensemble techniques
+12936,12936,Is K means an ensemble method
+12937,12937,What is the purpose of a paired t test
+12938,12938,Which of the following is a good example of when we would use a paired t test
+12939,12939,What are the advantages of dimensionality reduction
+12940,12940,What's the difference between random forest and gradient boosting
+12941,12941,How does random forest reduce variance
+12942,12942,Why is batch normalization used
+12943,12943,What is jackknife regression
+12944,12944,What is the best measure of spread for a skewed distribution
+12945,12945,How do you deal with a skewed distribution
+12946,12946,What is padding in CNN
+12947,12947,How does CNN calculate number of filters
+12948,12948,How do you change a target variable
+12949,12949,Do we need to scale target variable
+12950,12950,What is hidden option in Task Scheduler
+12951,12951,What does 0x2 mean in Task Scheduler
+12952,12952,Why do we have to identify the variables
+12953,12953,How do you find the saddle point of a matrix
+12954,12954,What is saddle point example
+12955,12955,How many saddle points can a matrix have
+12956,12956,How do you calculate cluster accuracy
+12957,12957,What is true about K means clustering
+12958,12958,What does a density plot tell you
+12959,12959,How do you graph probability density function
+12960,12960,What is significance level in regression
+12961,12961,What does it mean if a variable is statistically significant
+12962,12962,What is the difference between actual and formal parameter explain with example
+12963,12963,How do you find the probability of a probability distribution
+12964,12964,What is a discriminative classifier
+12965,12965,Why do we use Fourier analysis
+12966,12966,What is the Fourier series used for
+12967,12967,How does Fourier analysis work
+12968,12968,How do you solve conditional probability
+12969,12969,What is conditional problem solving explain with an example
+12970,12970,How do you solve PA and B
+12971,12971,What is bivariate and multivariate
+12972,12972,What is Scikit used for
+12973,12973,What does Scikit stand for
+12974,12974,What is Scikit in Python
+12975,12975,How is the efficient frontier determined
+12976,12976,What does it mean if a variable is continuous
+12977,12977,How do you compare two continuous variables in SPSS
+12978,12978,How is the Z test different from Z score analysis Course Hero
+12979,12979,What is the difference between z score and z value
+12980,12980,What is the use of kurtosis
+12981,12981,What does the kurtosis value tell us
+12982,12982,How do classifiers work
+12983,12983,What is the difference between term frequency and TF IDF
+12984,12984,What is a precision recall curve
+12985,12985,What is intelligence quizlet
+12986,12986,What is the difference between feedforward neural network and backpropagation
+12987,12987,What is the importance of scatter plot
+12988,12988,What is the role of scatter diagram in the theory of regression
+12989,12989,What is scatter plot in regression
+12990,12990,How is the shape of the F distribution affected by the degrees of freedom
+12991,12991,What is K means in data mining
+12992,12992,Why is the normal distribution not a good model
+12993,12993,Under what circumstances is the distribution of sample means not normal
+12994,12994,When was random forest invented
+12995,12995,Why is backward chaining used for diagnostic problems
+12996,12996,What is the difference between sample mean and population mean called
+12997,12997,What describes an Autoassociative network
+12998,12998,What is auto associative network in AI
+12999,12999,Is there any error in linear Autoassociative networks
+13000,13000,What are predicted values in regression
+13001,13001,Why do we use the linear regression equation when predicting
+13002,13002,Can you correlate categorical variables
+13003,13003,How do you convert categorical variables to continuous variables
+13004,13004,What are the principles of simple random sampling
+13005,13005,What is Delta Rule explain
+13006,13006,For which of the following cases could you use logistic regression
+13007,13007,What are the statistical tools used in testing hypothesis
+13008,13008,What are statistical tests used for
+13009,13009,What is the purpose of hypothesis testing using statistics
+13010,13010,What is the test statistic used in the hypothesis test for the difference between the two population means
+13011,13011,What is simple linear regression and why is it useful
+13012,13012,What do we mean when we say that a simple regression model is statistically useful
+13013,13013,Why is linear regression useful
+13014,13014,How does sample size affect a study
+13015,13015,How does sample size affect the size of the standard error for the sample mean difference
+13016,13016,How does small sample size effect results
+13017,13017,What is the normal curve used for
+13018,13018,How do you tell if a curve is normally distributed
+13019,13019,How do you use clustering
+13020,13020,What is oof in machine learning
+13021,13021,What is multiple regression used for
+13022,13022,What is multi target regression
+13023,13023,What is multiple regression in machine learning
+13024,13024,Is multiple regression linear
+13025,13025,Are support vector machines machine learning
+13026,13026,What is a vector in neural network
+13027,13027,What is reconstruction error in Autoencoder
+13028,13028,Who invented Autoencoders
+13029,13029,Is AI or big data better
+13030,13030,Is Big Data a part of artificial intelligence
+13031,13031,What is the logistics growth model
+13032,13032,What is logistic population growth
+13033,13033,What is an assumption of the logistic model of population growth
+13034,13034,What is the equation for population growth
+13035,13035,How do you use control variables
+13036,13036,What is Tokenize in NLP
+13037,13037,What does unbiased mean
+13038,13038,What is data analysis in simple words
+13039,13039,What is data analysis with example
+13040,13040,What are the types of data analysis
+13041,13041,Why is data analysis important
+13042,13042,Why are errors normally distributed
+13043,13043,Why is it important for residuals to be normally distributed
+13044,13044,How do you find a simple random sample
+13045,13045,Why do we use simple random sampling
+13046,13046,What is the difference between simple random and systematic sampling
+13047,13047,What is the difference between binomial distribution and geometric distribution
+13048,13048,What is the difference between CNN and DNN
+13049,13049,Why is the likelihood function not a probability
+13050,13050,How do you find the cumulative probability distribution
+13051,13051,How do you test for Multicollinearity in logistic regression SPSS
+13052,13052,How does logistic regression handle Multicollinearity
+13053,13053,How do you handle Multicollinearity in logistic regression in R
+13054,13054,What do you mean by decision analysis
+13055,13055,What is tabular reinforcement learning
+13056,13056,Which type of learning approaches the Q learning algorithm
+13057,13057,What does the T critical value mean
+13058,13058,How do you calculate model lift
+13059,13059,What are the topics in data structures and algorithms
+13060,13060,What is the goal of regression
+13061,13061,What is correlation in simple words
+13062,13062,What is the definition of correlational
+13063,13063,What does weighted mean difference mean
+13064,13064,Is the mean difference the effect size
+13065,13065,What is Bandit testing
+13066,13066,How does Thompson sampling work
+13067,13067,How is ACF calculated
+13068,13068,How do you calculate cross correlation
+13069,13069,How do you determine your learning rate
+13070,13070,Why are convolutions useful for images
+13071,13071,How many convolutions are there
+13072,13072,What are the applications of supervised machine learning
+13073,13073,How can machine learning be improved
+13074,13074,What is model tuning in machine learning
+13075,13075,How do you develop a model in machine learning
+13076,13076,What is the difference between probability and probability density function
+13077,13077,How is Bayesian statistics different
+13078,13078,Is Bayesian statistics machine learning
+13079,13079,How hard is Bayesian statistics
+13080,13080,How do you determine if there is an outlier
+13081,13081,What is an outlier in a data set
+13082,13082,Which of the following fill algorithm is used for filling with different type of colors
+13083,13083,What is the meaning of statistics and probability
+13084,13084,What is entropy of an information source
+13085,13085,What is data entropy
+13086,13086,What is mean and standard deviation
+13087,13087,How do you know if data is independent
+13088,13088,Is a random variable independent of itself
+13089,13089,What does it mean for two variables to be independent
+13090,13090,What does higher entropy mean
+13091,13091,What is an example of high entropy
+13092,13092,How do you know which substance has higher entropy
+13093,13093,What is a tag in Python
+13094,13094,What are the applications of linear algebra in real life
+13095,13095,What are the application of linear algebra in computer science
+13096,13096,What are the applications of linear equations
+13097,13097,What are typical applications of matrices
+13098,13098,Can we use regression for classification
+13099,13099,What are the conditions for using the normal approximation for a sampling distribution of proportions
+13100,13100,What is the difference between chi square and t test
+13101,13101,How does a classification tree work
+13102,13102,How do you read a decision tree
+13103,13103,What is a modified Boxplot
+13104,13104,What is the difference between a Boxplot and a modified Boxplot
+13105,13105,How do you read a modified box plot
+13106,13106,When would you use a box plot
+13107,13107,What does it mean if your model has Overfit the data
+13108,13108,Is Z test better than t test
+13109,13109,Why are t tests more variable than Z tests
+13110,13110,How do you identify a hypergeometric distribution
+13111,13111,How does a Canny edge detector work
+13112,13112,Why is Canny edge detected
+13113,13113,How do you explain Poisson distribution
+13114,13114,What is Poisson distribution explain the characteristics and formula for Poisson distribution
+13115,13115,What is lambda in a Poisson distribution
+13116,13116,What type of variables are used in logistic regression
+13117,13117,What is multicollinearity problem in regression
+13118,13118,What is naive Bayes in data mining
+13119,13119,What is Bayesian classifier in data mining
+13120,13120,How do you test the relationship between variables
+13121,13121,Which statistical methods are used to find measures of relationship
+13122,13122,What type of research provides a statistical analysis of the relationships among variables
+13123,13123,What is the difference between nominal and ordinal levels of measurement
+13124,13124,What is the difference between data measured on an interval scale and data measured on a ratio scale
+13125,13125,What is the difference between ordinal and interval data
+13126,13126,Why is it important to understand the different levels of measurement
+13127,13127,What is the difference between Y and Y hat
+13128,13128,Is Huber loss differentiable
+13129,13129,How do you explain conditional probability
+13130,13130,What is the law of averages mean
+13131,13131,What is belief network in artificial intelligence
+13132,13132,What is feature engineering for machine learning
+13133,13133,When can you use Z test
+13134,13134,What is Markov model in data compression
+13135,13135,Why do you mean by classification
+13136,13136,What is smoothing of data
+13137,13137,What is smoothing of image
+13138,13138,What is smoothing in machine learning
+13139,13139,What does value mean in decision tree
+13140,13140,What is expected value in decision tree
+13141,13141,What is the value of a chance node in a decision tree
+13142,13142,What is reasoning and types
+13143,13143,What is reasoning in machine learning
+13144,13144,What is Knowledge Representation and Reasoning in AI
+13145,13145,How can participant bias affect the outcome of a study
+13146,13146,How can Investigator effects be reduced
+13147,13147,How do you do sampling
+13148,13148,How do you sample a multivariate normal distribution
+13149,13149,What is the difference between R and r2
+13150,13150,What is the meaning of cross sectional analysis
+13151,13151,Is squared error loss convex
+13152,13152,What is SGD in Python
+13153,13153,What are the advantages of using mean in statistics
+13154,13154,What resolution is 48MP
+13155,13155,How is weighted mean score calculated
+13156,13156,How do you calculate weights
+13157,13157,Why is SVD useful
+13158,13158,Can SVD be used for dimensionality reduction of non linear data
+13159,13159,Which of the following is an example of quota sampling
+13160,13160,Where is quota
+13161,13161,Is quota sampling purposive
+13162,13162,What is WordNet in NLP
+13163,13163,How do you create a WordNet
+13164,13164,Is normal distribution a probability distribution
+13165,13165,How are probabilities involving the normal distribution computed
+13166,13166,How is the normal distribution related to t distributions
+13167,13167,Which is true about test retest reliability
+13168,13168,What is acceptable test retest reliability
+13169,13169,What does test retest reliability really indicate
+13170,13170,What is a true mean in statistics
+13171,13171,What is the mean of the sample means equal to
+13172,13172,What is the set of all possible outcomes of a probability experiment called
+13173,13173,What is possible outcome in probability
+13174,13174,When would you use analysis of variance
+13175,13175,Is Root MSE the standard deviation
+13176,13176,How do you find the root mean square standard deviation
+13177,13177,What is root mean square in statistics
+13178,13178,How much data do you need to train a model
+13179,13179,Is the median the same as the second quartile
+13180,13180,What does the second quartile represent
+13181,13181,What are neurons in a neural network
+13182,13182,Is time a categorical variable
+13183,13183,How do you find the median of a continuous distribution
+13184,13184,How do you find the precise median of a continuous variable
+13185,13185,How do you find the median on a cumulative frequency table
+13186,13186,What is the formula to find the median of the data
+13187,13187,Who introduced artificial intelligence
+13188,13188,When was Artificial Intelligence AI born
+13189,13189,What causes sampling error
+13190,13190,How can sampling errors be prevented
+13191,13191,Can statistics be used as evidence
+13192,13192,Who said you can prove anything with statistics
+13193,13193,What can statistics be used for
+13194,13194,Why is the pooling layer used in a convolutional neural network
+13195,13195,What is the classification error
+13196,13196,How is machine learning accuracy calculated
+13197,13197,How do you measure the accuracy of a ML model
+13198,13198,How do you find the accuracy of a model
+13199,13199,How do you calculate principal components in R
+13200,13200,How do you conduct a principal component analysis
+13201,13201,How do I check social media analytics
+13202,13202,Is there a tool that does it all social analytics )
+13203,13203,What we can do for social media analytics
+13204,13204,What is a social media analytics tool
+13205,13205,What is batch normalization Tensorflow
+13206,13206,What is the Predict function in R
+13207,13207,How do you predict probabilities in R
+13208,13208,What does sparse coding of nerve impulses imply
+13209,13209,What is the other name of regularization in linear regression
+13210,13210,Why is maximizing likelihood equivalent to maximizing the log likelihood
+13211,13211,What is sample space and event
+13212,13212,What is the difference between Word2Vec and doc2vec
+13213,13213,What does the t test tell you
+13214,13214,What does LSI keywords mean
+13215,13215,How do I find LSI keywords
+13216,13216,What is the definition of normal distribution in statistics
+13217,13217,What is a normal distribution used for
+13218,13218,What are the disadvantages of the linear regression model
+13219,13219,What is lambda in exponential distribution
+13220,13220,How do you find the parameter of an exponential distribution
+13221,13221,Is machine learning neural networks
+13222,13222,What is TensorFlow built on
+13223,13223,What is multiple imputation method
+13224,13224,What TensorFlow 2
+13225,13225,How do machine learning algorithms compare
+13226,13226,How do you compare two algorithms
+13227,13227,How do you find the exact probability
+13228,13228,What determines the exact shape of a normal distribution curve
+13229,13229,Is predictive analytics part of AI
+13230,13230,What is predictive AI
+13231,13231,What are the three types of normal distribution
+13232,13232,What is the difference between normal distribution and Poisson distribution
+13233,13233,What is feature matrix
+13234,13234,What is a feature space in machine learning
+13235,13235,How do I optimize meta description
+13236,13236,What is K in clustering
+13237,13237,What is the assumption made in naive Bayes algorithm
+13238,13238,Which assumption makes the naïve Bayesian classifier different from the general Bayesian model
+13239,13239,What is the naive assumption in a naive Bayes classifier Mcq
+13240,13240,Why a naive Bayes classifier is with the assumption of independence between the features
+13241,13241,What are the limitations of the semantic networks
+13242,13242,What is MU in normal distribution
+13243,13243,What does μ represent in the Z score formula
+13244,13244,What are the mean μ and variance σ2 of the standard normal random variable
+13245,13245,What is the difference between a class boundary and a class limit quizlet
+13246,13246,How do you identify the class boundaries
+13247,13247,What do you mean by parametric test
+13248,13248,What is vector and vector space
+13249,13249,What is difference between vector space and field
+13250,13250,What defines a vector space
+13251,13251,What is offset in linear regression
+13252,13252,What is offset variable in Stata
+13253,13253,How many laws of probability are there
+13254,13254,How do you tell if a integral converges or diverges
+13255,13255,How do you find the sum of squared residuals
+13256,13256,How do you find the sum of residuals
+13257,13257,How is sum of squares calculated
+13258,13258,How do you find the mean square of residuals
+13259,13259,What is the main difference between a T test and an Anova
+13260,13260,What is social engineering in hacking
+13261,13261,Why is zero initialization not recommended for weight initialization
+13262,13262,Where do we use standard deviation
+13263,13263,Is RMS equal to standard deviation
+13264,13264,What does RMS mean in statistics
+13265,13265,What does RMS deviation mean
+13266,13266,What is the difference between random and stratified sampling
+13267,13267,What is the difference between a random sample and simple random sample
+13268,13268,What is sampling discuss random and stratified types of sampling
+13269,13269,What is stratified sampling quizlet
+13270,13270,What is convolution integral and where do we use it
+13271,13271,What are the properties of convolution integral
+13272,13272,What is convolution in Laplace transforms
+13273,13273,What is Thorndike's theory of learning
+13274,13274,How do Skinner and Thorndike describe learning
+13275,13275,What is F test used for
+13276,13276,Why do residuals need to be normally distributed
+13277,13277,What is not hierarchical clustering
+13278,13278,How do you do a kappa statistic in SPSS
+13279,13279,How do you calculate Intercoder reliability in SPSS
+13280,13280,How do you write a decision tree example
+13281,13281,What is embedding machine learning
+13282,13282,What is the difference between a frequency table and a contingency table
+13283,13283,What is the truth value of P ∨ Q
+13284,13284,What does Q mean in logic
+13285,13285,What is the inverse of P → Q
+13286,13286,Where do we use expert systems
+13287,13287,What is an embedding vector
+13288,13288,What is analytics and why it is used
+13289,13289,What is residual deviance in GLM
+13290,13290,What is the function to get both eigenvalues and eigenvectors of a matrix select one
+13291,13291,What is the function of eigenvalues and eigenvectors
+13292,13292,Can an eigenvalue have two eigenvectors
+13293,13293,What are the causes of sampling error
+13294,13294,What determines sampling error
+13295,13295,What are the problems with sampling
+13296,13296,What is sampling error based on
+13297,13297,In which learning Markov process concept is used
+13298,13298,What is discount factor in MDP
+13299,13299,Why is deep learning called deep learning
+13300,13300,What is decision function in SVM
+13301,13301,How are t test and F test related
+13302,13302,What is difference between t test and Anova
+13303,13303,What are parameters of a distribution
+13304,13304,What is lognormal distribution used for
+13305,13305,What is a Cauchy random variable
+13306,13306,How the inferential statistics helps to make decisions out of it
+13307,13307,How does statistics help in decision making
+13308,13308,What is the most useful distribution in inferential statistics
+13309,13309,How do you calculate similarities
+13310,13310,How do you calculate similarity score
+13311,13311,Does standard error increase with confidence interval
+13312,13312,How does Standard Deviation affect confidence interval
+13313,13313,What is the relationship between confidence interval and margin of error
+13314,13314,How do you create an association rule
+13315,13315,What does Central Limit Theorem tell us about the sampling distribution of the sample mean
+13316,13316,How do you use machine learning for sentiment analysis
+13317,13317,How do you evaluate attention
+13318,13318,What is attention and concentration
+13319,13319,What are attention skills
+13320,13320,What means glove
+13321,13321,What are the uses of gloves
+13322,13322,What is interval data
+13323,13323,What is interval data examples
+13324,13324,What is interval ratio in statistics
+13325,13325,Which is controlled by a positive feedback loop
+13326,13326,Is positive feedback controlled by the hypothalamus
+13327,13327,What is positive feedback regulation give an example
+13328,13328,What is the null hypothesis of F test
+13329,13329,What is the null hypothesis of Levene's equality of variances hypothesis test
+13330,13330,What is the null hypothesis for an analysis of variance
+13331,13331,How do you choose membership function in fuzzy logic
+13332,13332,What is the meaning of T value in regression analysis
+13333,13333,What does a correlation matrix tell you
+13334,13334,How do you interpret a correlation chart
+13335,13335,What does a correlation of 0.85 mean
+13336,13336,What does a correlation of 0.48 mean
+13337,13337,What is a hidden unit in neural network
+13338,13338,How many hidden units are there
+13339,13339,What does hidden layer do
+13340,13340,What is spark ML
+13341,13341,What is MLlib
+13342,13342,What are the different components of spark
+13343,13343,Is Bayesian a maximum likelihood estimation
+13344,13344,What's the difference between MLE and MAP inference
+13345,13345,What is Bayesian parameter estimation
+13346,13346,What is the difference between t test and Z test
+13347,13347,What is the purpose of the t statistic
+13348,13348,How do you Analyse a discrete choice experiment
+13349,13349,What is discrete choice analysis
+13350,13350,What is the formula for calculating sample size
+13351,13351,What are the methods of determining sample size
+13352,13352,How do you calculate deep learning mAP
+13353,13353,What type of error would be considered a false positive
+13354,13354,What is the basis of the Fourier transform
+13355,13355,Why do we use Fourier transformation
+13356,13356,Do you need to standardize data for random forest
+13357,13357,What do you understand by unsupervised learning
+13358,13358,Why is it important to data classification
+13359,13359,What type of data is count data
+13360,13360,What is count data in regression
+13361,13361,What does count data mean
+13362,13362,Is count data normally distributed
+13363,13363,What do you understand by Fourier series
+13364,13364,How do you use Fourier series
+13365,13365,What are the 2 types of Fourier series
+13366,13366,What does R Squared mean in statistics
+13367,13367,How do you interpret P value and R Squared
+13368,13368,What is r in machine learning
+13369,13369,Can I use R for machine learning
+13370,13370,How do you calculate misclassification in R
+13371,13371,How is keras different from TensorFlow
+13372,13372,Is keras a TensorFlow
+13373,13373,Why we use supervised machine learning
+13374,13374,What is kernel in machine learning
+13375,13375,How is a weighted score model calculated
+13376,13376,How do I calculate a weighted test
+13377,13377,What is symbol based machine learning
+13378,13378,What is Eigen value
+13379,13379,What is sparsity in image processing
+13380,13380,What is gradient in machine learning
+13381,13381,How do you write a covariance matrix
+13382,13382,How data is used in machine learning
+13383,13383,What is data in machine learning
+13384,13384,What is K in binomial distribution
+13385,13385,How do you find K in binomial distribution
+13386,13386,What is r in negative binomial distribution
+13387,13387,How do you find the inverse of a transformation
+13388,13388,What is inverse transformation explain with an example
+13389,13389,How do you translate inverse functions
+13390,13390,What is the inverse of a transformation matrix
+13391,13391,How do I load Iris dataset from Sklearn
+13392,13392,How does Matlab solve optimization problems
+13393,13393,What is Matlab and how it works
+13394,13394,What are codes categories and themes in qualitative research
+13395,13395,What are codes in data analysis
+13396,13396,What does NIST stand for
+13397,13397,What is a NIST security assessment
+13398,13398,How do you do linear regression on Excel
+13399,13399,What are the methods for solving linear regression
+13400,13400,Is linear regression A graphic method
+13401,13401,How do you find the linear equation in Excel
+13402,13402,What is AI coded in
+13403,13403,How do you create an artificial intelligence
+13404,13404,Is coding required for artificial intelligence
+13405,13405,What real world applications are there for logarithms
+13406,13406,What is an example of a logarithmic function
+13407,13407,What are some applications of exponential functions
+13408,13408,What is actuator in AI
+13409,13409,What is a linear kernel
+13410,13410,How do you select important variables in Python
+13411,13411,What is feature selection in Python
+13412,13412,What is linear and non linear regression
+13413,13413,Can we model a non linear relationship with a linear regression
+13414,13414,How do you find a nonlinear regression equation
+13415,13415,What situations are best modeled by a logistic equation
+13416,13416,Why is RELU better and more often used than sigmoid in neural networks
+13417,13417,Which method is the method of interpolation and extrapolation
+13418,13418,Which method can be used in any question of interpolation
+13419,13419,What is interpolation numerical method
+13420,13420,What does relative frequency tell you
+13421,13421,What is a shift in data
+13422,13422,What are the two types of construct validity
+13423,13423,What is an example of a collaborative filtering application
+13424,13424,Which of following test statistics is used in Wilcoxon rank sum test
+13425,13425,What is the standard deviation of normal distribution
+13426,13426,What is the variance of a uniform distribution
+13427,13427,Why would a uniform distribution have a larger standard deviation than a normal distribution
+13428,13428,Which type of dataset is used for logistic regression
+13429,13429,What are the three types of data that are used in regression
+13430,13430,What are marginals
+13431,13431,How do you find the margin of error given the confidence interval
+13432,13432,How is the margin of error related to the confidence interval
+13433,13433,How do you do sentiment analysis on Twitter data
+13434,13434,How do you get data from a sentiment analysis
+13435,13435,How is sentiment analysis done
+13436,13436,What are the key differences between univariate and multivariate analysis
+13437,13437,What is dropout in deep learning
+13438,13438,What is at test used for
+13439,13439,What is the difference between AZ test and at test
+13440,13440,How does a calibration curve work
+13441,13441,What does calibration mean
+13442,13442,How do you make a calibration curve
+13443,13443,What is the loss function for random forest
+13444,13444,Does random forest fall under unsupervised learning
+13445,13445,Does batch normalization have trainable parameters
+13446,13446,What is the use of batch normalization
+13447,13447,How many parameters does a batch normalization layer
+13448,13448,What is gamma and beta in batch normalization
+13449,13449,How do you find the sensitivity of a confusion matrix
+13450,13450,What is test sensitivity
+13451,13451,How does a machine learning model learn
+13452,13452,What does a machine learning model do
+13453,13453,What is mAP for object detection
+13454,13454,How do I get started with algorithms
+13455,13455,What is needed to learn algorithms
+13456,13456,Why cosine distance is always in the range between 0 and 1
+13457,13457,What is the definition of cosine
+13458,13458,What is quantile function in statistics
+13459,13459,What is the distribution of a random variable
+13460,13460,What is the mean of the random variable X
+13461,13461,What is the distribution of X
+13462,13462,Can RMS be equal to the average
+13463,13463,What is PAC model
+13464,13464,What is a knowledge based system explain
+13465,13465,Which system can be seen as knowledge based system
+13466,13466,How do you develop a knowledge based system
+13467,13467,Is exponential distribution discrete
+13468,13468,What is the P value method
+13469,13469,What are the different types of statistical test
+13470,13470,What does the Z value mean in Wilcoxon test
+13471,13471,How do you find the critical value for Wilcoxon rank sum test
+13472,13472,What is the ending of Bandish bandits
+13473,13473,Who is the voice of Radhe in Bandish bandits
+13474,13474,What do the coefficients in a multiple regression mean
+13475,13475,Why do regression coefficients have wrong signs
+13476,13476,How does the interpretation of the regression coefficients differ in multiple regression and simple linear regression
+13477,13477,Why adding more variables to a regression model
+13478,13478,Is omitted variable bias Endogeneity
+13479,13479,What is CNN output layer
+13480,13480,What does the one sample chi square test determine
+13481,13481,What does an odds ratio of 0.80 mean
+13482,13482,What software is used for artificial intelligence
+13483,13483,What factors influence the size of the receptive field
+13484,13484,What is effective receptive field
+13485,13485,What is the relationship between the accuracy and uncertainty of a measurement quizlet
+13486,13486,What is accuracy in measurement
+13487,13487,What does uncertainty in measurement mean
+13488,13488,What is the similarity between accuracy and precision
+13489,13489,What does it mean if a regression is not significant
+13490,13490,What does the intercept of a regression tell
+13491,13491,What does a statistically significant intercept mean
+13492,13492,How is classification error rate calculated
+13493,13493,What is classification problem in machine learning
+13494,13494,Do Neural networks use gradient descent
+13495,13495,What is meant by serial correlation
+13496,13496,What is a variable in a qualitative study
+13497,13497,Do qualitative studies have variables
+13498,13498,What is considered a qualitative study
+13499,13499,What is parameter learning
+13500,13500,What is data level parallelism give example
+13501,13501,How does data parallelism algorithm work
+13502,13502,Does the least squares regression line pass through the mean
+13503,13503,When regression line passes through the origin then intercept is
+13504,13504,What is meant by system simulation
+13505,13505,How do you know if two events are dependent
+13506,13506,What is Kafka data streaming
+13507,13507,What does K defines in K NN algorithm
+13508,13508,How are transits and orbits related
+13509,13509,What is the relationship between orbital period and distance from the star
+13510,13510,What is transit depth
+13511,13511,What is data outlier
+13512,13512,What is convolutional layer in CNN
+13513,13513,What is the use of convolution layer
+13514,13514,How do you identify patterns
+13515,13515,How do you develop a pattern recognition
+13516,13516,What part of the brain sees patterns
+13517,13517,What is inter cluster and intra cluster similarity
+13518,13518,What is inter cluster
+13519,13519,What is sift feature extraction
+13520,13520,What is feature descriptor
+13521,13521,What are the steps for conducting a regression analysis
+13522,13522,How do you analyze a regression model
+13523,13523,How do you interpret AUC scores
+13524,13524,How do you find the eigenvectors of a matrix
+13525,13525,What are eigenvalues and eigenvectors of a matrix
+13526,13526,How is R Squared calculated
+13527,13527,What is r squared value
+13528,13528,What is Bayesian inference used for
+13529,13529,What is posterior and prior
+13530,13530,What is expected deviation rate
+13531,13531,What is the relationship between sample size and sampling error
+13532,13532,What is the relationship between sampling error and sample size quizlet
+13533,13533,What is the relationship between margin of error confidence interval and sample size
+13534,13534,What is the difference between discrete and continuous distributions
+13535,13535,How do you create a training set
+13536,13536,How do you sample a distribution
+13537,13537,How do you find the probability of a sampling distribution
+13538,13538,How do you calculate probability sampling
+13539,13539,How do you find the value of TensorFlow variable
+13540,13540,How do you predict using TensorFlow model
+13541,13541,Why are larger sample sizes more accurate
+13542,13542,How does sample size impact results of a study
+13543,13543,How does a small sample size affect reliability
+13544,13544,How do you build a neural network model
+13545,13545,How do I make CNN TensorFlow
+13546,13546,What are data anomalies
+13547,13547,Which clustering method is best
+13548,13548,What is a normal distribution curve in statistics
+13549,13549,What is normality distribution
+13550,13550,How do you draw a normal distribution curve
+13551,13551,How do you explain integration
+13552,13552,How do you determine a large population sample size
+13553,13553,What causes response bias
+13554,13554,Why are mean and median different
+13555,13555,What is the difference mean and median
+13556,13556,Do decision trees have high bias
+13557,13557,Are decision trees sensitive to outliers
+13558,13558,Are decision trees interpretable
+13559,13559,Why is stratified sampling better
+13560,13560,What are the disadvantages of simple random sampling
+13561,13561,Why is feature normalization important
+13562,13562,What is normalization and why do we use it
+13563,13563,What are AI problems
+13564,13564,What are the fears of AI
+13565,13565,Why AI is a threat
+13566,13566,What is conjoint analysis
+13567,13567,What is choice based conjoint analysis
+13568,13568,Why is the F distribution used for the analysis of variance Anova )
+13569,13569,Is gradient descent technique for solving optimization problem
+13570,13570,Does more data make for a better model
+13571,13571,How do you train a dataset
+13572,13572,How do you find the optimal threshold
+13573,13573,Is probability threshold in logistic regression a Hyperparameter
+13574,13574,How do you find the expected value of a discrete probability distribution
+13575,13575,How do you find the expected value of a distribution
+13576,13576,How do you calculate expected discrete
+13577,13577,What does it mean if the expected value is 0
+13578,13578,What is self awareness in artificial intelligence
+13579,13579,What is a valid effect in statistics
+13580,13580,How do you validate a statistical question
+13581,13581,How statistics can be misleading
+13582,13582,How can numbers and statistics be misleading
+13583,13583,Why can the measure of the mean of the data be misleading
+13584,13584,How can data be misinterpreted
+13585,13585,What is logit function in logistic regression
+13586,13586,What is the range of the logit function
+13587,13587,What's the difference between NLP and NLU
+13588,13588,How do you find the sampling distribution in statistics
+13589,13589,Is Association rules mining used in recommender systems approach
+13590,13590,What is meant by an association rule
+13591,13591,Which algorithm is best for recommender system
+13592,13592,Is a neural network linear
+13593,13593,What is linear layer in neural network
+13594,13594,How does NLU work in AI
+13595,13595,What is anomaly detection algorithms
+13596,13596,Which of the following fields can Anomaly Detection be applied
+13597,13597,How is clustering used in anomaly detection
+13598,13598,What do you say when comparing box plots
+13599,13599,Which of the following is a difference between the T distribution and the standard normal Z distribution
+13600,13600,What is hashing algorithm and explain briefly how it works
+13601,13601,What are the types of hashing algorithm
+13602,13602,What is the best hashing algorithm
+13603,13603,What is the slope of the regression line
+13604,13604,Is the R value the slope
+13605,13605,What is R in a regression line
+13606,13606,Is the correlation coefficient The slope of the regression line
+13607,13607,What is the value of partial autocorrelation function of lag order 1
+13608,13608,What do you mean by temporal classification
+13609,13609,What is quantitative classification
+13610,13610,What is CTC in machine learning
+13611,13611,How does transfer learning works
+13612,13612,What is chunking in Python
+13613,13613,What does NLTK Pos_tag do
+13614,13614,What is the objective of hashing
+13615,13615,What is meant by the law of large numbers
+13616,13616,What is the law of large numbers chegg
+13617,13617,Why do we use geometric distribution
+13618,13618,How can I remove noisy data
+13619,13619,What causes noise in data communication
+13620,13620,What is the difference between noise and outliers
+13621,13621,How does noisy data influence accuracy
+13622,13622,What is sampling frequency in ADC
+13623,13623,How do you calculate sample sampling frequency
+13624,13624,How does ADC sampling work
+13625,13625,What are the matching type that birst employs while searching data in cache
+13626,13626,How does caching work in searching for information
+13627,13627,What are the limitations of multiple regression analysis
+13628,13628,How do you differentiate a logistic function
+13629,13629,What determines logistic growth
+13630,13630,What is the limiting value of a logistic function
+13631,13631,How do you solve logistic growth function
+13632,13632,What are deep learning frameworks
+13633,13633,Which deep learning framework should I learn
+13634,13634,Is PyTorch a deep learning framework
+13635,13635,What is deep learning useful for
+13636,13636,Should I learn deep learning
+13637,13637,What is multi class SVM
+13638,13638,What is convolution and correlation
+13639,13639,What is a correlation filter
+13640,13640,What is the difference between correlation and cross correlation
+13641,13641,What is a good Altman Z score
+13642,13642,Is Altman Z score useful
+13643,13643,What does a negative Altman Z score mean
+13644,13644,How do you find normal probability
+13645,13645,What is classification and prediction in data mining
+13646,13646,What is the meaning of mean and standard deviation
+13647,13647,How do you find marginal density
+13648,13648,What is the marginal probability density function
+13649,13649,How do you find the marginal probability function
+13650,13650,What does IID stand for police
+13651,13651,How do implicit bias tests work
+13652,13652,How accurate is the implicit bias test
+13653,13653,What test checks for implicit bias
+13654,13654,How do you measure implicit attitude
+13655,13655,Which is better for screening sensitivity or specificity
+13656,13656,What is sensitivity
+13657,13657,Which of the following are Treisman's two stages of feature integration
+13658,13658,What is the difference between R Squared and adjusted R squared
+13659,13659,What is a good value for adjusted R squared
+13660,13660,What is activation function Ann
+13661,13661,What is hypothesis in machine learning
+13662,13662,What is the difference between a variable and a parameter
+13663,13663,What is the difference between a field and a local variable
+13664,13664,What is nonresponse bias in statistics
+13665,13665,What is an example of undercoverage bias
+13666,13666,What happens if the learning rate is too high
+13667,13667,How does batch size affect Overfitting
+13668,13668,How do you interpret logistic regression coefficients in SPSS
+13669,13669,What does log mean in regression
+13670,13670,Why do we take natural log of data
+13671,13671,When should you optimize code
+13672,13672,Is categorical data numeric or nonnumeric
+13673,13673,What is OLS mean
+13674,13674,Which algorithm is used in layered feed forward neural network
+13675,13675,Is it possible to design a logistic regression algorithm using a neural network algorithm
+13676,13676,What is n gram language model
+13677,13677,Is SRE and DevOps same
+13678,13678,What does SRE stand for in DevOps
+13679,13679,Why do we need tokenization in NLP
+13680,13680,What does a convolution do
+13681,13681,How do you know if a variable is exogenous
+13682,13682,What is the difference between a parameter and a variable
+13683,13683,Is exogenous variable the same as independent variable
+13684,13684,How does sift achieve scale invariance
+13685,13685,How do you solve stratified random sampling
+13686,13686,How many stratas are in stratified sampling
+13687,13687,Is affine function linear
+13688,13688,Is affine transformation linear
+13689,13689,How is Ancova different from Anova
+13690,13690,What assumption does Ancova have that Anova does not
+13691,13691,What is univariate and bivariate analysis
+13692,13692,What is the univariate concept
+13693,13693,What is class limit and class boundary
+13694,13694,How do you find the class limit of data
+13695,13695,What is meant by convolution
+13696,13696,What is the convolution theorem in image processing
+13697,13697,How do you find the intercept of b0
+13698,13698,How do you interpret b0 in regression
+13699,13699,What does Beta 0 and beta 1 represent in linear regression
+13700,13700,Is Markov process stationary
+13701,13701,Is unit step function causal
+13702,13702,Is the unit step function continuous
+13703,13703,Is unit step function linear
+13704,13704,What is feature map in CNN
+13705,13705,How do you do a two tailed test
+13706,13706,When would you use a two tailed test
+13707,13707,What is Matlab coded in
+13708,13708,What are weights and biases in neural network
+13709,13709,How do you add bias to a neural network
+13710,13710,What is map in machine learning
+13711,13711,What is Bayes theorem and maximum posterior hypothesis
+13712,13712,What does standard error depend on
+13713,13713,What affects the standard error of the regression slope
+13714,13714,How do you interpret the standard error of the mean
+13715,13715,What are the advantages of exponential smoothing
+13716,13716,When using exponential smoothing a smoothing constant must be used the value for
+13717,13717,What are the distinguishing features of simple random sampling
+13718,13718,What is the purpose for using a model in regression analysis
+13719,13719,How is regression analysis used in real life
+13720,13720,What is a false positive in it
+13721,13721,What is a false positive called
+13722,13722,Is the least squares regression line the same as the regression line
+13723,13723,What is decision tree in machine learning with example
+13724,13724,What does K mean in data
+13725,13725,How do you find the mean from a frequency table
+13726,13726,How do you find the range of a frequency table with intervals
+13727,13727,How do you know if a 3d vector field is conservative
+13728,13728,How do you determine if a vector field is a gradient field
+13729,13729,What is conservative field give example
+13730,13730,What is conservative force field
+13731,13731,How do you find greater than cumulative frequency
+13732,13732,What is a less than cumulative frequency curve
+13733,13733,What is the z score for the third quartile of a standard normal distribution
+13734,13734,What percentage of a distribution is covered by the interquartile range
+13735,13735,What is algorithmic model
+13736,13736,What is meant by model in machine learning
+13737,13737,Why do we use standardized regression coefficients
+13738,13738,What does the standardized coefficient tell you
+13739,13739,Should I use standardized or unstandardized coefficients
+13740,13740,Is standardization required for linear regression
+13741,13741,Is there a difference between AI and robots
+13742,13742,Does robots use artificial intelligence
+13743,13743,How do AI robots work
+13744,13744,Is P value of 0.07 Significant
+13745,13745,What does P value of 0.8 mean
+13746,13746,How do you reduce the sum of squared errors
+13747,13747,Is binary search a divide and conquer algorithm
+13748,13748,How do you identify greedy algorithm
+13749,13749,What is the difference between backpropagation algorithm and backpropagation Throughtime Bptt algorithm
+13750,13750,What is CAC ratio
+13751,13751,What is the difference between partitioning and bucketing
+13752,13752,Who created the signal detection theory
+13753,13753,What is bootstrap sampling in machine learning
+13754,13754,What is bootstrapping sampling
+13755,13755,What is the experimental bias
+13756,13756,What is an example of bias in a study
+13757,13757,How does boosting work machine learning
+13758,13758,What kind of boosting is the following
+13759,13759,How do you determine if a vector is a basis
+13760,13760,Can a single vector be a basis
+13761,13761,How do you write the results of a logistic regression
+13762,13762,How do you describe regression results
+13763,13763,How do you describe logistic regression
+13764,13764,How do you write a regression equation
+13765,13765,What is the relationship between Type II error and statistical power
+13766,13766,Is correlation and correlation coefficient the same
+13767,13767,How do you describe the correlation of a scatter plot
+13768,13768,Is T distribution the same as normal
+13769,13769,Do you need normal distribution for t test
+13770,13770,What does layer normalization do
+13771,13771,Why do you need to normalize the data
+13772,13772,Why do we need to normalize images
+13773,13773,How do you perform a residual analysis
+13774,13774,How do you calculate standard normal distribution
+13775,13775,What is meant by a standard normal distribution
+13776,13776,How do you find the standard normal curve
+13777,13777,What are some limitations of linear regression
+13778,13778,What is meant by Simpson's paradox
+13779,13779,What is data paradox
+13780,13780,Which is a common application of cluster analysis
+13781,13781,What will happen if we do not use activation function in artificial neural networks
+13782,13782,How do you explain likelihood ratios
+13783,13783,What does a likelihood ratio tell you
+13784,13784,What is LR+ and LR
+13785,13785,What does geometric distribution tell you
+13786,13786,How do you find the geometric distribution
+13787,13787,Why is it called geometric distribution
+13788,13788,What is statistical heterogeneity in meta analysis
+13789,13789,What does the least squares method indicate
+13790,13790,Why use convolutional neural networks
+13791,13791,What are examples of exponentially distributed random variables in real life
+13792,13792,Why is stratified sampling better than cluster
+13793,13793,What is the class width formula
+13794,13794,What is the width of a class interval
+13795,13795,What is RNN in neural network
+13796,13796,What happens in a positive and negative skewed distribution
+13797,13797,Do outliers affect skewness
+13798,13798,What does it mean when a distribution is negatively skewed
+13799,13799,What does statistical learning involve
+13800,13800,What is the formula for independent events
+13801,13801,How do you know if data is correlated
+13802,13802,What is the purpose of the permutation test
+13803,13803,Can factor analysis be used on categorical data
+13804,13804,What does scaling data mean
+13805,13805,How do you know if something is a discrete probability distribution
+13806,13806,What is stream data processing
+13807,13807,What is the difference between batch and stream processing
+13808,13808,Why AlphaGo is such a big deal
+13809,13809,How does randomization reduce confounding
+13810,13810,What does random assignment control for
+13811,13811,How do you control for confounding variables
+13812,13812,How does random assignment determine cause and effect
+13813,13813,How do I type the X Bar symbol in Word
+13814,13814,How do you insert a population symbol in Word
+13815,13815,How do you put an X in a Word document
+13816,13816,What is interpolation and extrapolation with examples
+13817,13817,Where is interpolation used
+13818,13818,What are the types of interpolation
+13819,13819,How do you do interpolation
+13820,13820,Is sample variance consistent
+13821,13821,How many layers should a neural network have
+13822,13822,What are order statistics used for
+13823,13823,What is order statistics in algorithms
+13824,13824,What is ingroup and outgroup
+13825,13825,What is the purpose of sample variance
+13826,13826,What is the difference between multiple regression and binary logistic regression
+13827,13827,What is standard normal cumulative distribution function
+13828,13828,What is CDF of normal distribution
+13829,13829,What is marginal probability mass function
+13830,13830,On what type of data can a non parametric test be used
+13831,13831,How do you know if a matrix is hermitian
+13832,13832,What is greedy algorithm and its types
+13833,13833,How does standard error relate to sampling error
+13834,13834,How do you find the standard error of a sample size
+13835,13835,Is ReLU a non linear activation function
+13836,13836,Can activation function be linear
+13837,13837,How does activation function introduce non linearity
+13838,13838,How do you select data for a linear regression
+13839,13839,What types of data do we model with logistic regression
+13840,13840,Is logit model the same as logistic regression
+13841,13841,Is logistic regression a binomial
+13842,13842,How can I learn neural networks
+13843,13843,Is a tensor a vector
+13844,13844,How do you use a binomial distribution table
+13845,13845,How do you write an analysis of an image
+13846,13846,What is the importance of photo analysis
+13847,13847,What are the features of Poisson distribution
+13848,13848,Why is Poisson distribution suitable
+13849,13849,What are the challenges of NLP
+13850,13850,Why is NLP interesting
+13851,13851,What Does It Mean If A and B are mutually exclusive
+13852,13852,What are the various ways to measure the distance between two clusters in agglomerative hierarchical clustering
+13853,13853,What are the different types of hypothesis
+13854,13854,Is machine learning necessary for deep learning
+13855,13855,Which of the following describes a difference between neural networks and genetic algorithms
+13856,13856,What is the difference between neural network and social network
+13857,13857,What is AdaBoost algorithm for face detection
+13858,13858,What does YUV stand for
+13859,13859,Is YUV a word
+13860,13860,What could be the possible reason for producing two different Dendrograms using agglomerative clustering algorithm for the same dataset
+13861,13861,Why is agglomerative clustering used
+13862,13862,What does P value mean in probability
+13863,13863,How do you find the normal distribution of MGF
+13864,13864,How do you derive a normal distribution function
+13865,13865,How do you interpret ordinal logistic regression in SPSS
+13866,13866,How do I interpret odds ratios in logistic regression
+13867,13867,What is the relationship between confidence level and significance level
+13868,13868,What is the means of cluster
+13869,13869,What is the sentence of cluster
+13870,13870,Why is normalization necessary in machine learning
+13871,13871,How do I merge two neural networks
+13872,13872,What increases the complexity of a neural network model
+13873,13873,What is the hidden layer in neural network
+13874,13874,Which part of a neural network is responsible for learning
+13875,13875,How do you increase the accuracy of CNN
+13876,13876,What causes OLS estimators to be biased
+13877,13877,Are the OLS estimators likely to be biased and inconsistent
+13878,13878,What are two potential sources of bias in linear regression
+13879,13879,What is the NLP technique
+13880,13880,What is the purpose of a model in AI and machine learning
+13881,13881,Does batch normalization prevent vanishing gradient
+13882,13882,Which of the following metrics can be used for evaluating regression model
+13883,13883,Which models can you use to solve a regression problem
+13884,13884,What is forward chaining and backward chaining in AI
+13885,13885,What is better than logistic regression
+13886,13886,What is the biggest weakness of decision trees compared to logistic regression classifiers
+13887,13887,Is random forest better than logistic regression
+13888,13888,What is statistics and its importance
+13889,13889,What is P AIB
+13890,13890,What does it mean if a correlation coefficient is 0
+13891,13891,What does an R value of zero mean
+13892,13892,What does the correlation coefficient r tell you
+13893,13893,What does a coefficient of correlation of 0.80 indicate
+13894,13894,What is the difference between sample space and event space
+13895,13895,What is continuous machine learning
+13896,13896,What is cross loss
+13897,13897,What do you mean by random sample
+13898,13898,What are the 4 types of random sampling
+13899,13899,How do you balance bias and variance
+13900,13900,What use does multivariate analysis of variance have if any
+13901,13901,How do you determine if a problem can be solved using backtracking
+13902,13902,Is backtracking important for interview
+13903,13903,How do you calculate the cutoff frequency of a high pass filter
+13904,13904,How do you calculate the cutoff frequency of a low pass filter
+13905,13905,How do you calculate cutoff frequency
+13906,13906,What is the cutoff frequency of a Normalised filter
+13907,13907,How do you calculate entropy and information gain
+13908,13908,What is binomial and Poisson distribution with example
+13909,13909,How is Poisson calculated
+13910,13910,How do you find the probability of a moment generating function
+13911,13911,What is a good PR curve
+13912,13912,Why do we use log in regression
+13913,13913,What is the purpose of log transformation
+13914,13914,Why do we use log in econometrics
+13915,13915,What does it mean to describe something as quantized
+13916,13916,Why energy is quantized
+13917,13917,Is normality an assumption of linear regression
+13918,13918,What do you mean by linear
+13919,13919,What does the term linear mean in math
+13920,13920,How do you use linear in a sentence
+13921,13921,What is the opposite of linear
+13922,13922,What is the goal of machine learning
+13923,13923,Which of the following algorithm can be used for reducing the dimensionality of data
+13924,13924,What are the functions of output unit
+13925,13925,What is meant by output unit
+13926,13926,What is the function of input and output unit
+13927,13927,How do you find the hyperplane
+13928,13928,What can Sentiment analysis be used for
+13929,13929,How do you find the class width and boundaries
+13930,13930,What is class limit in statistics
+13931,13931,What kernel function is taken in default for SVM
+13932,13932,Why do we need dimensionality reduction
+13933,13933,How do you find the probability of a generating function
+13934,13934,How do you assess the performance of a model
+13935,13935,What is model validation in machine learning
+13936,13936,What is Arima Modelling
+13937,13937,How do you use ARMA models
+13938,13938,How do you use linear regression to predict values
+13939,13939,What is predicted value in regression
+13940,13940,How is a simple linear regression model used to predict the response variable using the predictor variable
+13941,13941,What does Cohen's d effect size mean
+13942,13942,What does D value mean in statistics
+13943,13943,What does an effect size of 0.8 mean
+13944,13944,What is LDA ML
+13945,13945,What is the meaning of the expected value of a variable
+13946,13946,How do moments work
+13947,13947,How many types of informed search methods are in AI
+13948,13948,How do you calculate random sampling
+13949,13949,What is the formula for sample
+13950,13950,What is the formula of stratified random sampling
+13951,13951,What is loopy belief propagation
+13952,13952,How does machine learning affect AI
+13953,13953,What type of thinking could be described as taking different directions in search of a
+13954,13954,What do we call the hypothesis that language influences what we think group of answer choices
+13955,13955,Why is deep learning useful
+13956,13956,What is regression tree used for
+13957,13957,Why iterator is used instead of for loop
+13958,13958,Why iterator is used in Python
+13959,13959,What is a batch normalization layer
+13960,13960,What is layer normalization
+13961,13961,How do you account for omitted variable bias
+13962,13962,What causes eye convergence
+13963,13963,How do you fix eye convergence
+13964,13964,What is a binomial experiment and what are its properties
+13965,13965,What makes the binomial distribution unique What are its characteristics
+13966,13966,How do we use dimensional analysis
+13967,13967,What is meant by dimensional analysis
+13968,13968,What is the difference between a control and a controlled variable
+13969,13969,What is a control and a variable
+13970,13970,Is Multicollinearity a problem in classification
+13971,13971,What are the different method of classification
+13972,13972,Which method of classification do you find the best Why
+13973,13973,Which Optimizer is best for binary classification
+13974,13974,What is a recommendation systems in AI and machine learning
+13975,13975,What is recommendation systems clearly explain two applications for recommendation systems
+13976,13976,Is the standard deviation of a sampling distribution
+13977,13977,When we estimate the standard deviation of a sampling distribution
+13978,13978,What is estimated standard deviation
+13979,13979,What are the mean and standard deviation of the sampling distribution
+13980,13980,How do you avoid selection bias in RCT
+13981,13981,How do you minimize selection bias
+13982,13982,How is bias Minimised in clinical trials
+13983,13983,Which matrix multiplication is defined
+13984,13984,When the product of two matrices A and B is defined
+13985,13985,What operations are defined for these matrices
+13986,13986,What is a not defined matrix
+13987,13987,How statistical techniques are helpful in data analysis
+13988,13988,How do you create a matrix item in NetSuite
+13989,13989,What is non inventory item
+13990,13990,What is Z value
+13991,13991,What is the standard deviation of the sample means
+13992,13992,What is the standard deviation of the sample means called What is the formula
+13993,13993,What is the standard deviation of the sampling distribution called quizlet
+13994,13994,What is the mean and standard deviation of the sampling distribution
+13995,13995,Which five strategies can be used to reduce the impact of implicit bias
+13996,13996,Why is negative sampling used in Word2Vec
+13997,13997,What are negative samples
+13998,13998,What is negative sampling when training the skip gram model
+13999,13999,What is the difference between GLoVe and Word2Vec
+14000,14000,What factors affect P value
+14001,14001,What happens when you increase effect size
+14002,14002,How do you find an estimate in statistics
+14003,14003,What is the formula of estimation
+14004,14004,Is it always optimal to add more features to a regression model
+14005,14005,What are the steps of binary search
+14006,14006,What is the order of binary search algorithm
+14007,14007,What is binary search Explain with algorithm
+14008,14008,What is the difference between T value and Z value
+14009,14009,What is the purpose of the convolution unit at the start of a convolutional neural network
+14010,14010,What is the purpose of neural networks
+14011,14011,What does it mean if a scatter plot has a positive a negative or no association
+14012,14012,How can you tell if a scatter plot is positive or negative
+14013,14013,Can a scatter plot be negative
+14014,14014,Which scatter plot shows a positive linear association
+14015,14015,What is artificial neural networks explain briefly
+14016,14016,What is the output of Lstm layer
+14017,14017,How do you make a decision tree diagram
+14018,14018,Why do we use standard deviation instead of variance
+14019,14019,Why is the standard deviation used more frequently than the variance choose the correct answer below
+14020,14020,Why is it better to use standard deviation than range
+14021,14021,What happens to the mean when the sample size increases
+14022,14022,What does a bigger sample size mean
+14023,14023,What does POS tag JJ stand for
+14024,14024,What is NNP in POS tagging
+14025,14025,What is NNP in NLTK
+14026,14026,What is the limitation behind rule generation in Apriori algorithm
+14027,14027,What is the effect of increased disease prevalence of specificity
+14028,14028,What does increase sensitivity mean
+14029,14029,How is slo defined
+14030,14030,What is an SLO vs SLA
+14031,14031,How do you make an SLO
+14032,14032,What is the meaning of latent
+14033,14033,Is boosting an example of ensemble learning
+14034,14034,Which are ensemble techniques
+14035,14035,How do you use proportionate stratified random sampling
+14036,14036,What does the slope of a least squares regression line represent
+14037,14037,How do you interpret the slope of a regression line
+14038,14038,Is the slope of the least squares regression line
+14039,14039,How do you find the point estimate of standard deviation
+14040,14040,What is the point of standard deviation
+14041,14041,What are the classification of image
+14042,14042,What do you mean by multidimensional analysis
+14043,14043,What is multidimensional data give two examples
+14044,14044,What is multidimensional data model explain
+14045,14045,Is correlation same as convolution
+14046,14046,What is the relation between cross correlation and auto correlation
+14047,14047,How do you find the correlation coefficient of two random variables
+14048,14048,What does a skewness of 0 mean
+14049,14049,Why does the margin of error increase
+14050,14050,What happens to margin of error as confidence increases
+14051,14051,Does margin of error increase with standard deviation
+14052,14052,How does Lstm deal with vanishing gradient
+14053,14053,What is a covariance stationary process
+14054,14054,Is random walk covariance stationary
+14055,14055,What is Data and Big Data
+14056,14056,What is the difference between big data and regular data
+14057,14057,What is the difference between data and data
+14058,14058,What is the difference between discrete series and continuous series
+14059,14059,What is the difference between quantitative discrete and continuous
+14060,14060,What is central tendency of data set explain with example
+14061,14061,How do you find the measure of central tendency
+14062,14062,Which of the following is not a machine learning algorithm
+14063,14063,What is the difference between time series and panel data
+14064,14064,What is Precision vs Recall
+14065,14065,How is 11 plus calculated
+14066,14066,How do you do Estimation in Agile
+14067,14067,How do you do Effort Estimation in Agile
+14068,14068,What are Kalman filters used for
+14069,14069,What is convolution theorem in signals and system
+14070,14070,What are the properties of convolution
+14071,14071,What is the difference between batch and stochastic gradient descent
+14072,14072,What is the importance of a normal curve
+14073,14073,How do you make a survival curve
+14074,14074,What is an acceptable ICC for inter rater reliability
+14075,14075,How do you find the MLE of an exponential function
+14076,14076,What is the variance of normal distribution
+14077,14077,What is space in machine learning
+14078,14078,How do you find the trace of a matrix
+14079,14079,What is the trace of a 2x2 matrix
+14080,14080,What can you say the solution space of a linear system if there are more unknowns than equations and at least one solution exists
+14081,14081,What are type selectors
+14082,14082,What is the use of selector
+14083,14083,Why do we partition data
+14084,14084,What is difference between neural networks and deep learning
+14085,14085,What is the difference between AI and neural network
+14086,14086,How do you find the variance in statistics
+14087,14087,What is variance and standard deviation
+14088,14088,How do you do weighted regression on Excel
+14089,14089,How do you calculate linear regression weight
+14090,14090,What is weighted logistic regression
+14091,14091,How do you test for independence between two variables
+14092,14092,How do you test the association between two continuous variables
+14093,14093,Why is systematic sampling not always possible
+14094,14094,Why is the sampling in a not simple random sampling
+14095,14095,What is normal distribution used for
+14096,14096,Who invented a B testing
+14097,14097,Is AB testing a hypothesis test
+14098,14098,How machine learning algorithms make predictions for data sets
+14099,14099,What type of machine learning algorithm makes predictions
+14100,14100,What is a time series regression
+14101,14101,Why linear regression is not suitable for time series
+14102,14102,What is random forest method
+14103,14103,What is an intelligent algorithm
+14104,14104,WHAT IS A * algorithm in artificial intelligence
+14105,14105,How is cut off value calculated
+14106,14106,How do you find the threshold value of a ROC curve
+14107,14107,What is the difference between classification and clustering in machine learning
+14108,14108,How do you find the critical value on a TI 84 Plus
+14109,14109,Is the sum of random variables A random variable
+14110,14110,Are Poisson random variables independent
+14111,14111,How do you sum random variables
+14112,14112,What is the difference between TensorFlow keras and keras
+14113,14113,What is RL action
+14114,14114,What is RL in machine learning
+14115,14115,What is RL State
+14116,14116,How do you find the conditional distribution of a joint distribution
+14117,14117,How do you interpret the slope and intercept of a regression line
+14118,14118,Is it reasonable to interpret the Y intercept
+14119,14119,How do you state the null hypothesis in words
+14120,14120,How do you show the null hypothesis
+14121,14121,How smart is AI now
+14122,14122,What is the probability of getting at least one 6 when six dice are rolled
+14123,14123,What are the chances of rolling a 6 with 6 dice
+14124,14124,What does it mean for a population to be normally distributed
+14125,14125,How do you know if population is normally distributed
+14126,14126,What is normal distribution and its properties
+14127,14127,What is an AI strategy
+14128,14128,Why is developing an AI strategy
+14129,14129,What are eigenvalues and eigenvectors machine learning
+14130,14130,What is the meaning of in group and out group
+14131,14131,What is meant by in group and out group how is in group connected to primary group how is out group connected to secondary group
+14132,14132,What is the difference between probability density function and probability mass function
+14133,14133,What is the difference between a theme and a category
+14134,14134,How do you code and theme qualitative data
+14135,14135,How do you choose your learning rate
+14136,14136,How do you use association rule mining
+14137,14137,Is data mining part of AI
+14138,14138,How do you know if a variable is continuous
+14139,14139,What is a continuous predictor variable
+14140,14140,What is gradient descent algorithm in machine learning
+14141,14141,What is gradient based method
+14142,14142,How many standard deviations is outlier
+14143,14143,What is affected by outliers in statistics
+14144,14144,How do you find the hash of a string
+14145,14145,What is hash function explain with an example
+14146,14146,Why is intelligence so attractive
+14147,14147,What determines attractiveness
+14148,14148,How can I be more perceived as intelligent
+14149,14149,What is sigmoid in machine learning
+14150,14150,What makes a simple random sample
+14151,14151,What are two requirements for a sample to be considered a random sample
+14152,14152,What is latent data
+14153,14153,What is sigmoid cross entropy
+14154,14154,Is cross entropy a metric
+14155,14155,What does a permutation test do
+14156,14156,What is TF keras datasets Mnist
+14157,14157,What is Mnist in TensorFlow
+14158,14158,How do I import Mnist dataset from keras
+14159,14159,How do you find the function of a PDF
+14160,14160,How K mean clustering works
+14161,14161,What is K means clustering explain with an example
+14162,14162,How do you interpret loadings in factor analysis
+14163,14163,What are eigenvalues in factor analysis
+14164,14164,What is the predictor variable in regression analysis
+14165,14165,What is a predictor variable example
+14166,14166,What is a predictor in linear regression
+14167,14167,What is parameter estimation methods
+14168,14168,What is the variance of a function
+14169,14169,How do you find the variance step by step
+14170,14170,How do you find variance and deviation
+14171,14171,How do you calculate prediction intervals in R
+14172,14172,How do you find the confidence interval in R
+14173,14173,Why do we use transfer learning
+14174,14174,Why should transfer learning work in NLP
+14175,14175,How do you find the marginal density of X
+14176,14176,What is the distribution function of x
+14177,14177,How does energy affect entropy
+14178,14178,Does entropy increase when energy is transformed
+14179,14179,What process decreases entropy
+14180,14180,What is the basic difference between FIR and IIR filters
+14181,14181,Why finite impulse response is non recursive filter
+14182,14182,What do you do when homogeneity of variance is violated
+14183,14183,What if variance is not homogeneous
+14184,14184,What does homogeneity of variance mean
+14185,14185,What does a test for homogeneity of variances tell us
+14186,14186,Is ReLu a linear function
+14187,14187,What does logistic regression tell you
+14188,14188,What does logit stand for
+14189,14189,What is the difference between stratified sampling and blocking
+14190,14190,What is blocking in experimental design
+14191,14191,How is a randomized block design in experiments similar to a stratified sample
+14192,14192,What is block sampling
+14193,14193,What do you mean by complexity of an algorithm explain with the help of suitable example
+14194,14194,When did artificial intelligence become popular
+14195,14195,Who started artificial intelligence
+14196,14196,What is standard deviation in simple words
+14197,14197,What is standard deviation explain with example
+14198,14198,Why multiple regression is important
+14199,14199,What is meant by multiple regression analysis
+14200,14200,Why do you test for normality
+14201,14201,How do you find the mean of a Bernoulli distribution
+14202,14202,What causes bias in machine learning
+14203,14203,How does neural network algorithm work
+14204,14204,Is face recognition computer vision
+14205,14205,What kind of data does facial recognition use
+14206,14206,Can Face Recognition Tech see through mask
+14207,14207,Is facial recognition regression or classification
+14208,14208,Are experimental studies randomized
+14209,14209,Is a randomized controlled trial a quantitative study
+14210,14210,Can we change the value of static variable in C
+14211,14211,How do you evaluate a time series model
+14212,14212,How do you forecast an Arima model
+14213,14213,What does a covariance tell you
+14214,14214,What is a high covariance
+14215,14215,What does correlation and covariance tell you
+14216,14216,How do you calculate false positive from sensitivity and specificity
+14217,14217,How do you calculate PPV from sensitivity and specificity
+14218,14218,How do you read sensitivity and specificity results
+14219,14219,How do you calculate combined sensitivity and specificity
+14220,14220,What is passive and active learning
+14221,14221,How do you simulate a Markov chain
+14222,14222,What does an alpha level of .05 mean
+14223,14223,Is P value the same as Alpha
+14224,14224,What does 1 minus alpha mean
+14225,14225,What is non linear processing
+14226,14226,What is the true value of a parameter
+14227,14227,What does parameters mean in statistics
+14228,14228,How do you find parameters
+14229,14229,Can neural networks be used in unsupervised learning environments
+14230,14230,Can CNN be used for unsupervised learning
+14231,14231,What is the difference between a left tailed two tailed and right tailed test
+14232,14232,How do you find the mean of a discrete random variable
+14233,14233,What do you mean by discrete variable
+14234,14234,What is true positive in confusion matrix
+14235,14235,How do you read a confusion matrix
+14236,14236,Why is chi square skewed right
+14237,14237,What is word embedding model
+14238,14238,Can Bert be used for topic modeling
+14239,14239,What are the types of layers in deep learning
+14240,14240,What is threshold value in machine learning
+14241,14241,Is CNN deep learning
+14242,14242,How is the coefficient correlation r related to the scatterplot
+14243,14243,When the correlation coefficient is zero the points on the scatter plot
+14244,14244,How do you find the density of a histogram
+14245,14245,What is the scale of a histogram
+14246,14246,What is a null hypothesis in statistics
+14247,14247,What is an alternative hypothesis in statistics
+14248,14248,What is null hypothesis in simple words
+14249,14249,Why is deep learning so robust to noise
+14250,14250,What is downside deviation
+14251,14251,How is downside risk calculated
+14252,14252,What makes a positive skew
+14253,14253,Do we need statistics while learning machine learning
+14254,14254,Is data analytics related to machine learning
+14255,14255,What does bin and frequency mean in a histogram
+14256,14256,How do you read a histogram bin
+14257,14257,Why does Stata omit dummy variables
+14258,14258,What is sparsity neural network
+14259,14259,What does it mean to have a weak correlation
+14260,14260,Is 0.08 a weak correlation
+14261,14261,How do you find the linear classifier
+14262,14262,How do you use image processing
+14263,14263,What is image processing in deep learning
+14264,14264,What is image processing in AI
+14265,14265,Why is the least squares line the best fitting
+14266,14266,How do you use least square method
+14267,14267,What two mathematical conditions are satisfied when using the method of least squares
+14268,14268,How do you interpret z test results
+14269,14269,What does the Z in Z test represent what similarity does it have to a simple Z or standard score
+14270,14270,What is Z in statistics
+14271,14271,What is the z score symbol
+14272,14272,Why do we need probability distribution
+14273,14273,What is the importance of a probability distribution in statistics
+14274,14274,What does the probability distribution tell us
+14275,14275,How do we use probability in real life
+14276,14276,Why do we need clusters
+14277,14277,Where is cluster computing used
+14278,14278,Why do you calculate z score
+14279,14279,What is Z score equal to
+14280,14280,How do you find the Z score between two numbers
+14281,14281,How do you solve chain rule
+14282,14282,How is sift algorithm implemented
+14283,14283,Why do we use GLM
+14284,14284,What does GLM do in R
+14285,14285,What does it mean for variables to be independent
+14286,14286,How do you know if a variable is independent or dependent
+14287,14287,Why do we use Gaussian distribution
+14288,14288,What does a universal Turing machine do
+14289,14289,What does a high log likelihood mean
+14290,14290,What is a TensorFlow model
+14291,14291,Where are the receptive fields for Vision located
+14292,14292,What is topic Modelling in Python
+14293,14293,What is uncertainty and why does it matter
+14294,14294,How does uncertainty affect data
+14295,14295,What does uncertainty mean in statistics
+14296,14296,What is Multicollinearity and how you can overcome it
+14297,14297,What are the consequences of multicollinearity
+14298,14298,What is an OLS regression model
+14299,14299,What do you understand by information theory
+14300,14300,What is information according to Shannon
+14301,14301,Can you use machine learning to predict stock market
+14302,14302,Is sample variance a biased estimator
+14303,14303,What is Knn and its applications
+14304,14304,How is the noisy data handled
+14305,14305,What is the purpose of binning data
+14306,14306,How does Weka handle noisy data
+14307,14307,Why Anova is called analysis of variance instead of analysis of means
+14308,14308,Why does Anova use variance
+14309,14309,How do you choose between precision and recall
+14310,14310,What is F1 precision recall and support
+14311,14311,What are the benefits of inductive reasoning
+14312,14312,What are the disadvantages of inductive method
+14313,14313,Why is inductive reasoning bad
+14314,14314,What p value do you reject
+14315,14315,Is P value 0.02 Significant
+14316,14316,What are the benefits of dimensional analysis
+14317,14317,How do you know if a function is divergent
+14318,14318,What does it mean for a function to diverge
+14319,14319,Which is preferred metric for evaluation IR system
+14320,14320,How does word2vec algorithm work
+14321,14321,What is word2vec used for
+14322,14322,How is noise measured in data
+14323,14323,What is the purpose of kernel trick
+14324,14324,Can we apply the kernel trick to logistic regression why is it not used in practice then
+14325,14325,What is the Chebyshev theorem in statistics
+14326,14326,How do you find the independent variable in an equation
+14327,14327,How do you identify a variable
+14328,14328,What is an independent event in probability
+14329,14329,What are independent dependent events
+14330,14330,Which algorithm falls under unsupervised
+14331,14331,What are the benefits of social networking
+14332,14332,What is social media and its importance
+14333,14333,What is the role of radial basis function in separating nonlinear patterns
+14334,14334,What is a sample size in statistics
+14335,14335,What is the default component change detection strategy
+14336,14336,How many standard deviations is az score
+14337,14337,What does Z score tell you
+14338,14338,What is the mean and standard deviation of AZ distribution
+14339,14339,What is the standard deviation of the Z distribution
+14340,14340,Is business analytics a part of data science
+14341,14341,What makes Ancova different to Anova
+14342,14342,How does power effect sample size
+14343,14343,What happens to power when you increase sample size
+14344,14344,What is a power analysis for sample size
+14345,14345,How does effect size affect statistical power
+14346,14346,What is the partitioning strategy
+14347,14347,How can Multicollinearity be detected
+14348,14348,How do you test for Multicollinearity in SPSS
+14349,14349,Which command is used in R to check the multicollinearity problem
+14350,14350,What does PDF mean in probability
+14351,14351,What is the difference between local minimum and global minimum
+14352,14352,Can global extrema be local extrema
+14353,14353,Which of the following are discrete random variables
+14354,14354,Which of the following is a discrete variable
+14355,14355,Which is better Knn or logistic regression
+14356,14356,Which is not a performance testing type
+14357,14357,How do you remember the difference between type1 and type 2 errors
+14358,14358,What is Mohr method
+14359,14359,Which indicator is used in Mohr method
+14360,14360,Is it possible for the mean and median to have the same value
+14361,14361,What does it mean if the mean and median are almost the same
+14362,14362,Is a false positive or false negative pregnancy test more likely
+14363,14363,Is it likely to have a false negative pregnancy test
+14364,14364,What is bias weight in neural network
+14365,14365,What distribution do we use with linear regression
+14366,14366,What does the chi square test of independence really test
+14367,14367,What are the assumptions for a chi square test of independence
+14368,14368,How can you determine if the association on a scatter plot is strong or weak
+14369,14369,How do you determine the strength of a linear relationship
+14370,14370,What is a weak positive linear association
+14371,14371,What is continuous distribution
+14372,14372,How do you find the median of a beta distribution
+14373,14373,How do I find the mean of a probability distribution
+14374,14374,What is the formula for variance in beta distribution
+14375,14375,Can you calculate the mean mode median from all data sets
+14376,14376,How do I find the mode of a data set
+14377,14377,What is the formula of mean and mode
+14378,14378,Is age an interval variable
+14379,14379,What does covariance matrix tell you
+14380,14380,How do you find the covariance of a matrix
+14381,14381,What is sample covariance matrix
+14382,14382,What can Boxplots be used to detect
+14383,14383,Are box plots affected by outliers
+14384,14384,Why do we choose Boxplot method than other for outlier detection and removal
+14385,14385,What do outliers on a box plot indicate
+14386,14386,What is VC dimension used for
+14387,14387,When should you use at distribution
+14388,14388,What is the difference between z and t test
+14389,14389,What do you learn in big data
+14390,14390,What are the characteristics of decision tree
+14391,14391,Which algorithm is used for decision tree induction
+14392,14392,What is decision tree induction
+14393,14393,How do you find the finite population correction factor
+14394,14394,How does confidence make you more attractive
+14395,14395,How can a man be confident and seductive
+14396,14396,How do you reduce the mean square error
+14397,14397,Can training error be higher than test error
+14398,14398,What is a KTH
+14399,14399,Is Data Analytics the same as data science
+14400,14400,What field of study is data analytics
+14401,14401,What is the definition for probability
+14402,14402,What is the difference between random variable and random process
+14403,14403,How do you define random
+14404,14404,Is NLP machine learning or deep learning
+14405,14405,What is AI and NLP
+14406,14406,What is the difference between convolutional layers and locally connected layers
+14407,14407,What are some practical problems with the sigmoidal activation function in neural nets
+14408,14408,Why is RELU preferred over sigmoid
+14409,14409,What is the difference between part and partial correlation
+14410,14410,How are partial and Semipartial correlations similar and different
+14411,14411,What is partial correlation in statistics
+14412,14412,How do you know if population standard deviation is known unknown
+14413,14413,Which distribution do you use when you are testing a population mean and the standard deviation is known assume sample size is large
+14414,14414,When the standard deviations are equal but unknown
+14415,14415,When the population mean is known but the population standard deviation is not known which statistic is used to compare a sample to the population
+14416,14416,Is feature scaling necessary for linear regression
+14417,14417,What are the two steps of association rule mining
+14418,14418,Where can you use association rule based algorithms
+14419,14419,What are the topics in deep learning
+14420,14420,What does convolution layer do
+14421,14421,What is deconvolution in deep learning
+14422,14422,What does deconvolution mean
+14423,14423,Is the deconvolution layer the same as a convolutional layer
+14424,14424,Which of the following is an advantage of logistic regression over classification trees
+14425,14425,Which technique is proper for solving collaborative filtering problem
+14426,14426,What does the output unit do
+14427,14427,What is the use of input unit and output unit
+14428,14428,What is output and example
+14429,14429,What statistics are robust to outliers
+14430,14430,What does it mean that the F statistic is robust
+14431,14431,What does kurtosis represent
+14432,14432,What are pooling layers in CNN
+14433,14433,What is hazard ratio confidence interval
+14434,14434,What does a hazard ratio mean
+14435,14435,Which is known as greedy algorithm
+14436,14436,How many degrees of freedom are there
+14437,14437,What is the difference between label encoding and one hot encoding
+14438,14438,What is difference between one hot encoding and a binary bow
+14439,14439,What do you mean by local Global and adaptive thresholding
+14440,14440,Does scaling affect linear regression
+14441,14441,What is probability density function of a random variable
+14442,14442,How do you find the probability density function of a discrete random variable
+14443,14443,What is the least square estimator
+14444,14444,How do you find the least square estimate
+14445,14445,What is learning problem in machine learning
+14446,14446,What are the advantages to using a K means clustering algorithm
+14447,14447,What is AUC used for
+14448,14448,What is non stationary Poisson process
+14449,14449,What is Poisson process in simulation
+14450,14450,What's the difference between local and absolute extrema
+14451,14451,What is the difference between a relative minimum and an absolute minimum
+14452,14452,What is the difference between global minimum and local minimum
+14453,14453,How do you find the regression line by hand
+14454,14454,How do you find the regression line on a sheet
+14455,14455,What is the formula for finding the slope of the regression line
+14456,14456,What does the K in K means stand for
+14457,14457,What is SVM explain advantages and disadvantages of support vector machine
+14458,14458,What are the limitations of SVM
+14459,14459,Which features are most suitable for object boundaries and occlusion detection in image sequence
+14460,14460,What are the uses and abuses of statistics
+14461,14461,How does batch size affect learning
+14462,14462,What is the use of batch size in neural network
+14463,14463,What is the role of TNF alpha
+14464,14464,What is TNF alpha blood test
+14465,14465,Why Markov chain is called random walk model
+14466,14466,Are you working hand in glove
+14467,14467,What does hand in glove mean
+14468,14468,What does it mean to glove someone
+14469,14469,What is Bandit feedback
+14470,14470,What is a stratified random sample in statistics
+14471,14471,What is statistical stratification
+14472,14472,What is the difference between a stratified sample and a cluster sample
+14473,14473,How do you create a stratified sample
+14474,14474,What is receptive field neural network
+14475,14475,What is receptive field machine learning
+14476,14476,Why Gaussian distribution is widely used in communication
+14477,14477,What is the difference between white noise and Gaussian noise
+14478,14478,What is moving average time series
+14479,14479,What are the two branches of statistical methods
+14480,14480,How do you know if MLE is unbiased
+14481,14481,What is meant by frequency distribution
+14482,14482,What is the role of sample size in Central Limit Theorem
+14483,14483,When should you use a relative frequency histogram instead of a frequency histogram
+14484,14484,What is a relative histogram
+14485,14485,How do you find the relative frequency in a histogram
+14486,14486,What is the difference between a frequency distribution and a histogram
+14487,14487,What is Deseasonalization of time series data
+14488,14488,Who invented F distribution
+14489,14489,What is the history behind F distribution
+14490,14490,What does PID stand for
+14491,14491,How do you write a regression
+14492,14492,Why is gradient descent stochastic
+14493,14493,Is stochastic gradient descent iterative
+14494,14494,What is an AUC curve
+14495,14495,How Adaline is different from other networks
+14496,14496,What do tensors do
+14497,14497,Why are tensors important for deep learning
+14498,14498,What are the limitations of dimensional method
+14499,14499,What are the limitations of dimensional formula Class 11
+14500,14500,What is labeled data and unlabeled data
+14501,14501,What is a standard score in assessment
+14502,14502,How do you select best features in machine learning
+14503,14503,What is unlabelled data in machine learning
+14504,14504,What is Artificial Intelligence explain its application with current scenario
+14505,14505,What is meant by analysis of variance
+14506,14506,Why do we analyze variance
+14507,14507,Why do we analyze variance when trying to determine difference between treatment means
+14508,14508,Does Anova compare means or variance
+14509,14509,What's a good AUC score
+14510,14510,How do you do multidimensional scaling
+14511,14511,What is input gate in Lstm
+14512,14512,What is a parametric regression
+14513,14513,What is noise in a dataset
+14514,14514,How can I reduce noise signal
+14515,14515,Is data augmentation a regularization method
+14516,14516,What is dataset augmentation
+14517,14517,What is augmentation in CNN
+14518,14518,What is naive in naive Bayes
+14519,14519,What is naive assumption in naive Bayes classifier
+14520,14520,What characterizes a Perceptron in machine learning
+14521,14521,Is PyTorch catching TensorFlow
+14522,14522,What are the conditions for a 2 sample t test
+14523,14523,What is an example of layering remarketing with audience exclusions
+14524,14524,What is narrow targeting
+14525,14525,How do you do the chain rule step by step
+14526,14526,Why lasso can be used for feature selection
+14527,14527,What is the difference between reliability and validity in statistics
+14528,14528,How do you calculate LR
+14529,14529,What is a good positive likelihood ratio
+14530,14530,What is Heteroscedasticity in statistics
+14531,14531,How do you find Homoscedasticity in statistics
+14532,14532,Can random forest be used for regression
+14533,14533,What can random forest be used for
+14534,14534,Is time series data random
+14535,14535,What causes higher entropy
+14536,14536,Is higher entropy favored
+14537,14537,Why does PPV increase with prevalence
+14538,14538,What is the difference between sensitivity and positive predictive value
+14539,14539,Can PCA be used for regression
+14540,14540,How do you do principal component in regression
+14541,14541,How does principal component analysis work
+14542,14542,What is loss function
+14543,14543,What is density of data
+14544,14544,Why do histograms use frequency density
+14545,14545,What does F mean in linear algebra
+14546,14546,What is an expert system explain with example
+14547,14547,Where are expert systems used
+14548,14548,How do expert systems work
+14549,14549,Where is uniform distribution used
+14550,14550,What is standard uniform distribution
+14551,14551,What does it mean when an event is independent
+14552,14552,How do you find the uncertainty
+14553,14553,How do you find the uncertainty of a single measurement
+14554,14554,How do you prove two random variables are uncorrelated
+14555,14555,Can correlated variables be independent
+14556,14556,How does Decision Tree help in decision making
+14557,14557,What is the purpose of decision tree analysis
+14558,14558,What is the expected value of a sum
+14559,14559,What does a pattern in a residual plot mean
+14560,14560,What does it mean if a residual plot has no pattern
+14561,14561,Is probability or Nonprobability sampling better
+14562,14562,What is the difference between probability and Nonprobability
+14563,14563,What factors should be considered in choosing between probability and Nonprobability sampling
+14564,14564,How do you use binomial distribution in real life
+14565,14565,What is fitting of binomial distribution
+14566,14566,What is hot encoding in Python
+14567,14567,What is coefficient and intercept in linear regression
+14568,14568,How do you calculate r2 in linear regression
+14569,14569,What types of data can be handled by decision tree
+14570,14570,In which situation does binomial distribution tends to Poisson distribution
+14571,14571,How do you know when to use Poisson or binomial
+14572,14572,What is hidden state
+14573,14573,What is another word for learning
+14574,14574,What is an adjective for learning
+14575,14575,Who invented machine learning
+14576,14576,Are test scores ratio or interval
+14577,14577,Is a test score a continuous variable
+14578,14578,What does a normal QQ plot tell you
+14579,14579,What are QQ plots useful for
+14580,14580,How do you analyze a QQ plot
+14581,14581,Should the target variable be scaled
+14582,14582,Should you standardize dependent variable
+14583,14583,Is AI a part of machine learning
+14584,14584,Why do we use robust standard errors
+14585,14585,Why is it important to use clustered standard errors for the regression
+14586,14586,What is heteroskedasticity robust standard error
+14587,14587,How do you do convolution on Origin
+14588,14588,What's the difference between gradient descent and stochastic gradient descent
+14589,14589,Who discovered backpropagation of error
+14590,14590,When was back propagation invented
+14591,14591,Who invented deep neural networks
+14592,14592,Why is IIR recursive
+14593,14593,What is filter realization
+14594,14594,What is target attribute in decision tree
+14595,14595,What is variable importance in decision tree
+14596,14596,Are decision trees always binary
+14597,14597,How do you know if events are mutually exclusive
+14598,14598,How do you tell if an event is independent or mutually exclusive
+14599,14599,How do you choose Z test or t test
+14600,14600,What is the difference between bagging and boosting
+14601,14601,What is method of moments estimator
+14602,14602,How do you find the method of moments
+14603,14603,What are the methods of estimation
+14604,14604,Is the method of moments estimator unbiased
+14605,14605,How do you interpret Cox regression in SPSS
+14606,14606,What is TensorFlow vs keras
+14607,14607,What is keras in machine learning
+14608,14608,How do you find the null hypothesis
+14609,14609,What is the accuracy recall and precision
+14610,14610,What is TP and FP
+14611,14611,Can accuracy and F1 score be same
+14612,14612,What AI is not machine learning
+14613,14613,Is time series supervised or unsupervised
+14614,14614,Does unsupervised learning works on unlabelled data
+14615,14615,What is Q in binomial probability
+14616,14616,How do you find P and Q in statistics
+14617,14617,How do you set the objective as minimize the value
+14618,14618,How do you use optimization on solver
+14619,14619,How do control variables work
+14620,14620,What does controlling for the effects of other variables mean
+14621,14621,What's worse false positive or false negative
+14622,14622,What is the difference between true positive and false positive
+14623,14623,What part of the brain is responsible for intelligence
+14624,14624,How is intelligence defined
+14625,14625,What makes the brain smarter
+14626,14626,How is time series data stored
+14627,14627,What are n grams in NLP
+14628,14628,What is label in ML
+14629,14629,Which is an ensemble method
+14630,14630,How do you calculate receptive field size
+14631,14631,Why are there different sizes of receptive fields
+14632,14632,What is a Ks value
+14633,14633,How do you find a hazard function
+14634,14634,Which MBTI test is the most accurate
+14635,14635,What are measures of goodness of fit for regressions
+14636,14636,What goodness of fit measure is commonly used to evaluate a multiple regression function
+14637,14637,What is meant by Bayesian classifiers
+14638,14638,How does a Bayesian classifier work
+14639,14639,What does a linear model look like
+14640,14640,How do you make a linear model
+14641,14641,How do you choose optimal number of clusters
+14642,14642,What metric can be used to find an optimal number of clusters
+14643,14643,How do you count clusters
+14644,14644,What is the impact of artificial intelligence on society
+14645,14645,What are some common benefits of artificial intelligence technology
+14646,14646,What is mean by cluster analysis
+14647,14647,What is statistical manipulation
+14648,14648,Can statistics be manipulated for those who really understand the subject matter
+14649,14649,Why is it so easy to lie with statistics
+14650,14650,How do you prove disparate impact
+14651,14651,What is batch normalization in CNN
+14652,14652,What is data mining with examples PDF
+14653,14653,Which methods are examples of data mining
+14654,14654,How data structures are used in real world
+14655,14655,Where do I start learning TensorFlow
+14656,14656,What is an example of a non parametric test
+14657,14657,How do you know which parametric test to use
+14658,14658,How do you derive the mean of a binomial distribution
+14659,14659,What is the mean of a binomial random variable
+14660,14660,How do you find the mean and standard deviation of a binomial distribution in Excel
+14661,14661,Which measure of central tendency is affected by outliers quizlet
+14662,14662,What is most influenced by outliers
+14663,14663,Is the mean the measure of central tendency most likely to be affected by an outlier
+14664,14664,What is random generator
+14665,14665,What does positive feedback mean
+14666,14666,Why is LU decomposition useful
+14667,14667,What is LU decomposition of matrix
+14668,14668,What does a Type 2 error mean
+14669,14669,Why do we use GD&T
+14670,14670,How many GD&T symbols are there
+14671,14671,How do you know if you have an optimization problem
+14672,14672,What is the importance of probability theory
+14673,14673,What is AR in time series
+14674,14674,What can regression analysis be used for
+14675,14675,What does Eigen mean
+14676,14676,What are eigenvalues used for
+14677,14677,What is Eigen function and eigenvalues
+14678,14678,What do you mean by eigenvalue spectrum
+14679,14679,How do you find the percentage between two z scores
+14680,14680,What is the area between z 0 and z 1
+14681,14681,How do you find percentile from Z score
+14682,14682,How long does it take to master data structures and algorithms
+14683,14683,How hard is it to learn data structures and algorithms
+14684,14684,What is mean absolute error in linear regression
+14685,14685,What does mean absolute percentage error tell you
+14686,14686,How do you use K mean to predict
+14687,14687,How is K means clustering used
+14688,14688,How does Knn work in face recognition
+14689,14689,What is KNN classifier in machine learning
+14690,14690,What are the advantages of chi square test
+14691,14691,Is 0.26 A strong correlation
+14692,14692,How do you calculate eigenvectors from eigenvalues
+14693,14693,What is Eigen value eigen vector
+14694,14694,How does neural network learn explain
+14695,14695,How are neural networks created
+14696,14696,What is unbalanced data set
+14697,14697,Why accuracy is not always correct measure for model evaluation explain with example
+14698,14698,What is expert system how it works
+14699,14699,How R is used in data analysis
+14700,14700,What is false positive in statistics
+14701,14701,Why is negatively skewed
+14702,14702,What are the characteristics of agents
+14703,14703,What is the test statistic for the Wilcoxon signed rank test
+14704,14704,What is the disadvantage of neural network
+14705,14705,What neural networks Cannot do
+14706,14706,What is the principle of a greedy algorithm
+14707,14707,Why are greedy algorithms called greedy
+14708,14708,What is a decision tree mention its advantages and disadvantages
+14709,14709,What is the concept of decision tree
+14710,14710,Who invented the law of averages
+14711,14711,What do you mean by the learning rate
+14712,14712,What is learning rate in linear regression
+14713,14713,What is partitioning method in clustering
+14714,14714,How do you find the median percentage
+14715,14715,How do you calculate the median of a sample
+14716,14716,How do you find the median between 2 numbers
+14717,14717,How do you randomize a study
+14718,14718,How do you deal with class imbalance in classification
+14719,14719,What is the issue of using accuracy when evaluating models under class imbalance
+14720,14720,Which evaluation measure is best if we need a balance between precision and recall
+14721,14721,How do you describe a sampling frame
+14722,14722,How do you convert covariance to correlation
+14723,14723,What is the relation between covariance and correlation
+14724,14724,How do you make a correlation matrix
+14725,14725,How do you calculate covariance matrix in R
+14726,14726,Why email is unstructured data
+14727,14727,How do you handle imbalanced classification problems in machine learning
+14728,14728,What is categorical data type
+14729,14729,Does ReLU have vanishing gradient
+14730,14730,How can local minima be avoided
+14731,14731,What is local minima problem in neural network
+14732,14732,How do you evaluate the median
+14733,14733,How do you interpret the mean and median
+14734,14734,What is the difference between median and mean
+14735,14735,What is the shape parameter in a gamma distribution
+14736,14736,Is 0.4 A good correlation
+14737,14737,Which techniques are used in pattern recognition
+14738,14738,Is logistic regression used for regression
+14739,14739,Why logistic regression is called regression
+14740,14740,What is logistic regression widely used for
+14741,14741,What is difference between logistic regression and linear regression
+14742,14742,What is the relationship between sample size and standard deviation
+14743,14743,Is standard deviation dependent on sample size
+14744,14744,How does the standard deviation change
+14745,14745,What are the methods of analysis
+14746,14746,What are the basic data analysis methods
+14747,14747,What are the two main methods of data analysis
+14748,14748,What are the various types of data analysis
+14749,14749,What is the use of threshold in image processing
+14750,14750,How do you find the threshold of an image
+14751,14751,What does a correlation of .2 mean
+14752,14752,How do you use Weka to predict
+14753,14753,What is the benefit of streaming data
+14754,14754,How do you Analyse streaming data
+14755,14755,How does multi label classification work
+14756,14756,Which technique is used in cure to detect outlier
+14757,14757,How do you remove outliers from average
+14758,14758,What is the difference between variance and bias
+14759,14759,Is variance a biased estimator
+14760,14760,What is variance of estimator
+14761,14761,What biased mean
+14762,14762,How do you find Q1 and Q3 from mean and standard deviation
+14763,14763,How do you determine the IQR
+14764,14764,How do you compare Iqr and standard deviation
+14765,14765,Which indicator is used in Mohr's method
+14766,14766,How do you find the class interval and class width
+14767,14767,Is class interval and class size the same
+14768,14768,What is the class width
+14769,14769,Why data should be normalized before training a neural network
+14770,14770,How is random error eliminated or Minimised
+14771,14771,How do you minimize systematic and random errors
+14772,14772,How do you interpret a weighted kappa
+14773,14773,What is kappa statistic used for
+14774,14774,Why is tree pruning useful in decision tree induction
+14775,14775,What does Quantised mean
+14776,14776,What does quantization mean
+14777,14777,What is another word for quantized
+14778,14778,What does hypergeometric distribution mean
+14779,14779,How do you use the hypergeometric distribution formula
+14780,14780,What is GLM in SPSS
+14781,14781,How do you do a generalized linear model in SPSS
+14782,14782,How do you find posterior
+14783,14783,What does T score and Z score mean
+14784,14784,What are the advantages of CNN
+14785,14785,How do you run a conjoint analysis in R
+14786,14786,Can SurveyMonkey do conjoint analysis
+14787,14787,Is Anova parametric or non parametric
+14788,14788,What is an ingroup vs outgroup
+14789,14789,Why do we use multivariate analysis
+14790,14790,What is common sense in AI
+14791,14791,What is motivation Short answer
+14792,14792,What is motivation and its types
+14793,14793,What is motivation explain types of motivation
+14794,14794,Why do we engage in causal analysis
+14795,14795,How do you tell if a range is a function
+14796,14796,What does Range mean in statistics
+14797,14797,What decision boundary can logistic regression provide
+14798,14798,Why logistic regression has a linear decision boundary
+14799,14799,Does a normal distribution have to be symmetrical
+14800,14800,Which distribution is skewed right
+14801,14801,What issue does weighted least squares try to handle
+14802,14802,What is the difference between deep learning and neural networks
+14803,14803,What is machine learning neural networks
+14804,14804,What is the outcome variable dependent variable in this experiment
+14805,14805,What's a outcome variable
+14806,14806,Is hazard ratio the same as odds ratio
+14807,14807,What is the predictive analysis in machine learning
+14808,14808,What is machine learning
+14809,14809,How artificial intelligence will change the future
+14810,14810,What is considered a part of NLU
+14811,14811,Is PCA supervised or unsupervised learning
+14812,14812,What is the Matrix speech
+14813,14813,Who does Morpheus represent in the Matrix
+14814,14814,How do you convert P value to z score
+14815,14815,How do you convert a data value to a Z score
+14816,14816,How do you convert probability to Z score in Excel
+14817,14817,What is the probability of Z score
+14818,14818,What is an image computer vision
+14819,14819,How do you calculate lift and confidence
+14820,14820,What is true of the lift value in association rule
+14821,14821,What is ImageNet in deep learning
+14822,14822,What is ImageNet machine learning
+14823,14823,How many GB is ImageNet
+14824,14824,How does SVM evaluate performance
+14825,14825,Is lognormal distribution continuous
+14826,14826,What is the difference between the chi square test for goodness of fit and the chi square test for independence
+14827,14827,Do we normalize categorical data
+14828,14828,What is misclassification rate
+14829,14829,Is artificial intelligence a good degree
+14830,14830,Is it worth doing masters in artificial intelligence
+14831,14831,Are neural networks hard to learn
+14832,14832,How do you calculate error
+14833,14833,How do you interpret an analysis of variance
+14834,14834,Why do we need dummy variables
+14835,14835,What is the difference between binary variable and dummy variable
+14836,14836,What is supervised learning in machine learning
+14837,14837,What is Sobel in image processing
+14838,14838,What is edge detection in image processing
+14839,14839,How do you choose a cluster sample
+14840,14840,What are clustering algorithms used for
+14841,14841,What is probability histogram
+14842,14842,What is the formula for histograms
+14843,14843,How do you write a linear model
+14844,14844,How can you tell if a model is linear
+14845,14845,How do you calculate log normal distribution in Excel
+14846,14846,How do you calculate lognormal standard deviation
+14847,14847,Where do we use linear regression
+14848,14848,Why is linear regression important
+14849,14849,What's true for drive reinforcement learning
+14850,14850,Does all machine learning use neural networks
+14851,14851,What is logistic regression towards data science
+14852,14852,What is meant by logistic regression
+14853,14853,Why it is called logistic regression
+14854,14854,How do you do weighted averages
+14855,14855,How do you calculate a weighted average in Excel
+14856,14856,How weighted grades are calculated
+14857,14857,How do you find the marginal effect
+14858,14858,What are marginal effects in logistic regression
+14859,14859,What are average marginal effects
+14860,14860,What is a one sample sign test
+14861,14861,What is the meaning of random in probability
+14862,14862,What image recognition technology is and how it works
+14863,14863,What is bagging and boosting in machine learning
+14864,14864,How do you run a generalized linear mixed model in SPSS
+14865,14865,Is the implicit association test reliable
+14866,14866,Is it possible for a test to have good reliability but poor validity
+14867,14867,What is the importance of algorithm
+14868,14868,What are the advantages of using algorithms
+14869,14869,Why do algorithms matter
+14870,14870,What is production and its types
+14871,14871,What is the meaning of production system
+14872,14872,What is a normal z score
+14873,14873,What is considered a high z score
+14874,14874,What is the difference between t test equal variance and unequal variance
+14875,14875,How do you know if variances are equal or unequal
+14876,14876,What is a t test two sample assuming unequal variances
+14877,14877,What does factorial Anova mean
+14878,14878,How do you analyze a factorial design
+14879,14879,How do you read precision
+14880,14880,What is meant by a statistical hypothesis
+14881,14881,How is cluster sampling used
+14882,14882,Why is machine learning important
+14883,14883,What do you mean by sentiment analysis
+14884,14884,What is sentiment analysis explain with help of an example
+14885,14885,How do you write a sentiment analysis
+14886,14886,What is a inverse statement
+14887,14887,Is it hard to learn artificial intelligence
+14888,14888,What are the properties of hypergeometric distribution
+14889,14889,What is the range of hypergeometric distribution
+14890,14890,What is the relationship between language and thinking
+14891,14891,What is the relationship between language and thinking quizlet
+14892,14892,What is the relationship between language and culture and human thought patterns
+14893,14893,What is Fourier used for
+14894,14894,What are Fourier terms
+14895,14895,What is meant by Fourier analysis
+14896,14896,What is Fourier series example
+14897,14897,What is the correlation coefficient in regression analysis
+14898,14898,What is correlation in linear regression
+14899,14899,How do you find the correlation coefficient in a linear regression
+14900,14900,What is the coefficient of linear correlation
+14901,14901,How is hysteresis measured
+14902,14902,What is hysteresis used for
+14903,14903,What is mid range statistics
+14904,14904,What is the formula of median in statistics
+14905,14905,Is mid range a measure of center
+14906,14906,What is the sample midrange
+14907,14907,Is Hmm deep learning
+14908,14908,How do you conduct a concept analysis
+14909,14909,What does concept analysis mean
+14910,14910,What is conceptual analysis and how does it work
+14911,14911,How does an artificial neural network model the brain
+14912,14912,How does machine learning work similar to a brain
+14913,14913,What are data visualization techniques
+14914,14914,What is data Visualisation mention two data Visualisation techniques
+14915,14915,What is data visualization and why is it important
+14916,14916,What are the uses of F test
+14917,14917,What is the degrees of freedom for F test
+14918,14918,Is deep learning the same as AI
+14919,14919,What is cross entropy function
+14920,14920,What does it mean to hash something out
+14921,14921,What is the purpose of hashing
+14922,14922,What is hashing with example
+14923,14923,What is GoogLeNet
+14924,14924,What is AlexNet CNN
+14925,14925,What functions are used for regression analysis
+14926,14926,Which function is used for regression relation
+14927,14927,What statistical model is assumed in the regression analysis
+14928,14928,How is Anova related to regression
+14929,14929,What is the difference between correlation and causation quizlet
+14930,14930,What is regularization in regression
+14931,14931,How is pseudo random different from random
+14932,14932,Why do we convert normal distribution to standard normal distribution
+14933,14933,What is the importance of standard normal distribution
+14934,14934,Why do we use normal distribution
+14935,14935,Is there a difference between normal distribution and standard normal distribution
+14936,14936,What are the types of predictive analytics
+14937,14937,What is the difference between machine learning and statistical learning
+14938,14938,How is dropout implemented
+14939,14939,Is an absorbing state periodic
+14940,14940,How do you prove a Markov chain is recurrent
+14941,14941,Is Word2vec a neural network
+14942,14942,How was Word2vec trained
+14943,14943,What is meant by K means algorithm
+14944,14944,How is K means clustering algorithm used
+14945,14945,How do you calculate variance covariance matrix by hand
+14946,14946,How is covariance measured
+14947,14947,Why we use ensemble methods
+14948,14948,Is null hypothesis positive or negative
+14949,14949,Why is a null hypothesis important
+14950,14950,Is the null hypothesis rejected
+14951,14951,What does calibration mean in statistics
+14952,14952,How do you find the weighted total
+14953,14953,Where is weighted mean used
+14954,14954,What is Gru and Lstm
+14955,14955,What does invariance mean
+14956,14956,What is principle of invariance
+14957,14957,What is the invariance property of MLE
+14958,14958,What is location invariant
+14959,14959,What does the determinant say about a matrix
+14960,14960,How do you interpret a correlation coefficient matrix
+14961,14961,What is correlation matrix in statistics
+14962,14962,How are word Embeddings usually evaluated qualitatively or quantitively )
+14963,14963,How are word Embeddings learned
+14964,14964,What is extrinsic evaluation
+14965,14965,What is normalized histogram
+14966,14966,What is normalization of an image
+14967,14967,What is a normalized plot
+14968,14968,What is the difference between a binomial experiment and a binomial distribution
+14969,14969,What is the difference between probability distribution and binomial distribution
+14970,14970,What is N dimensional vector space
+14971,14971,What does N mean in vectors
+14972,14972,What happens when you learn something new
+14973,14973,Do you feel motivated when learning something new
+14974,14974,What are the benefits of learning something new
+14975,14975,What can you learn from new things
+14976,14976,What do normal distribution curves show
+14977,14977,What is true about a normal curve
+14978,14978,What is sample design explain different types of sample design
+14979,14979,What is AI and where it is used
+14980,14980,What are the four main areas of artificial intelligence
+14981,14981,What is the range of the random variable
+14982,14982,What are continuous random variables
+14983,14983,Which is a range of a discrete random variable X
+14984,14984,When X is a continuous random variable P x A is
+14985,14985,Is collaborative filtering supervised learning
+14986,14986,How do you find the least squares regression equation
+14987,14987,Why Quick Select is O N
+14988,14988,Is randomized quicksort stable
+14989,14989,Is GLM machine learning
+14990,14990,How do you develop image recognition
+14991,14991,Should I learn Scikit learn or Tensorflow
+14992,14992,How do you find K in probability density function
+14993,14993,What is a constant in probability
+14994,14994,What is exact difference between accuracy and precision
+14995,14995,What is error accuracy and precision
+14996,14996,What is the difference between accuracy precision and tolerance
+14997,14997,What is the difference between one tailed and two tailed hypothesis
+14998,14998,How does Gaussian blur work
+14999,14999,How do you implement Gaussian blur
+15000,15000,Which strategy is used for tuning Hyperparameters
+15001,15001,What is tuning in machine learning
+15002,15002,What are metrics
+15003,15003,What is an Anova test used for
+15004,15004,What is the meaning of one way Anova
+15005,15005,Is Mean Deviation the same as standard deviation
+15006,15006,What are the properties of a continuous random variable
+15007,15007,How do you evaluate Gan performance
+15008,15008,How do you convert categorical data to numeric
+15009,15009,How do you convert categorical string variables to labeled numeric variables
+15010,15010,How do you convert non numeric data to numeric data
+15011,15011,What is dropout in Tensorflow
+15012,15012,Can a probability distribution be negative
+15013,15013,How do you find the probability less than
+15014,15014,How do you treat categorical variables in machine learning
+15015,15015,What is pooling in image processing
+15016,15016,What is weight in machine learning
+15017,15017,What is inverse transform technique in simulation
+15018,15018,What is the inverse of the normal cumulative distribution
+15019,15019,What is the minimum sample size for experimental design
+15020,15020,What does effective sample size mean
+15021,15021,Is it good to have a high z score
+15022,15022,What is hazard ratio in survival analysis
+15023,15023,What do you mean by tensor of zero rank
+15024,15024,Is Gamma an exponential family distribution
+15025,15025,What is the difference between exponential and Poisson distribution
+15026,15026,How do you choose optimal K in K means
+15027,15027,Which of the following is are possible exit conditions for K means
+15028,15028,What is the goal of the K Means algorithms
+15029,15029,Are machine learning and data science related
+15030,15030,Is data science related to coding
+15031,15031,How do you calculate cross sectional data
+15032,15032,What is bagging in ensemble
+15033,15033,Should I use multiple R squared or adjusted R squared
+15034,15034,What is the difference between R 2 and adjusted R 2
+15035,15035,Why do you think it is better to use adjusted R squared In the case of multiple linear regression
+15036,15036,How do you measure categorical data
+15037,15037,How do you create a dataset for machine learning
+15038,15038,Is it appropriate to use the normal distribution to find probabilities for
+15039,15039,What are non parametric tests in statistics
+15040,15040,What does it mean if something is normally distributed
+15041,15041,What is data level parallelism give an example
+15042,15042,What are the two types of parallelism
+15043,15043,How does SPSS calculate weighted kappa
+15044,15044,How do you encode data
+15045,15045,Is one hot encoding feature engineering
+15046,15046,What is off policy reinforcement learning
+15047,15047,Is Dqn a off policy
+15048,15048,Which of the following is an example of reinforcement learning
+15049,15049,What is B in correlation
+15050,15050,What is b0 and b1 in linear regression
+15051,15051,What is the B in Y ax B
+15052,15052,How do you know if a matrix is symmetric
+15053,15053,What is a symmetric matrix with example
+15054,15054,Is maximum likelihood useful for representation learning
+15055,15055,What is the difference between confidence interval and probability
+15056,15056,How do data implants work
+15057,15057,What is univariate and bivariate distribution
+15058,15058,Is Cronbach's alpha a measure of test retest reliability
+15059,15059,Which method can be used to estimate reliability of test
+15060,15060,How do you know if you accept or reject the null hypothesis
+15061,15061,What is the criteria used to reject a null hypothesis
+15062,15062,How do you accept or reject the null hypothesis t test
+15063,15063,What is precision recall and F1 score in machine learning
+15064,15064,What is Precision Recall F1
+15065,15065,Why would you use Anova instead of at test
+15066,15066,What is the purpose of Anova in data analysis
+15067,15067,What is the difference between class boundary and class limit
+15068,15068,What is the difference between class interval and Class Mark
+15069,15069,What does the loss function mean
+15070,15070,How do you create a predictive model
+15071,15071,How do you do predictive analytics in R
+15072,15072,How do you compare two proportions
+15073,15073,Can you use at test to compare proportions
+15074,15074,Are two proportions statistically different
+15075,15075,What does regularized mean
+15076,15076,Is ReLU differentiable at 0
+15077,15077,How do you find the interaction between variables
+15078,15078,What is an interaction between two variables
+15079,15079,Can the CLT be applied to a random sample from a discrete distribution
+15080,15080,Should data be normally distributed
+15081,15081,Why are normal distributions so common with data
+15082,15082,Can Kafka be used for batch processing
+15083,15083,Can Kafka be used for ETL
+15084,15084,Why is discounted reward necessary in reinforcement learning
+15085,15085,What is discount factor in Q learning
+15086,15086,What does sound mean in statistics
+15087,15087,What does white noise mean in statistics
+15088,15088,What's the difference between population and sample standard deviation
+15089,15089,What is the difference between big data and Hadoop
+15090,15090,Why are algorithms biased
+15091,15091,How do you know what type of t test to use
+15092,15092,What is a good t test value
+15093,15093,What relationship holds between F and T values
+15094,15094,What can image recognition be used for
+15095,15095,How do you get rid of bias
+15096,15096,How do you stop perceptual bias
+15097,15097,What does the spectral theorem say
+15098,15098,What is spectral mapping
+15099,15099,Is a spectrum linear
+15100,15100,Is a variable discrete or continuous
+15101,15101,How many fields are in a QFT
+15102,15102,What are activation functions used for
+15103,15103,Why and when do we use parametric tools
+15104,15104,How do you know if data is positively skewed
+15105,15105,What do you optimize in designing a SVM classifier
+15106,15106,How does unsupervised deep learning work
+15107,15107,Can neural networks be unsupervised
+15108,15108,How does social media use artificial intelligence
+15109,15109,Which tool is used as deep learning tool for Facebook
+15110,15110,Is AlphaGo artificial intelligence
+15111,15111,What is the purpose of AI in DeepMind
+15112,15112,Is AlphaZero AI
+15113,15113,How do you do vector autoregression
+15114,15114,Who uses logistic regression
+15115,15115,How can body language convey emotion
+15116,15116,How can you tell if someone is happy in body language
+15117,15117,How do you write a decision rule
+15118,15118,Can you disprove a null hypothesis
+15119,15119,How do you check the validity of a model
+15120,15120,Which are methods used for validating models
+15121,15121,What are dependent and independent events
+15122,15122,How do you identify independent and dependent events
+15123,15123,Is F test one sided
+15124,15124,What is sigmoid in neural network
+15125,15125,What is sigmoid used for
+15126,15126,What is sigmoid equation
+15127,15127,How do you find the singular value decomposition
+15128,15128,What is the significance of covariance
+15129,15129,Why do you use coefficient of correlation instead of covariance
+15130,15130,Is the expected number the mean
+15131,15131,Is expected value the same as median
+15132,15132,What is statistical inference used for
+15133,15133,What is included in inferential statistics
+15134,15134,What is term frequency matrix
+15135,15135,How do you find the probability
+15136,15136,What does sample proportion mean in statistics
+15137,15137,What is a sampling proportion
+15138,15138,How do you find the sample proportion in statistics
+15139,15139,What is the difference between sample proportion and sample mean
+15140,15140,How do you solve Bayesian probability
+15141,15141,What are optimization techniques
+15142,15142,What is the use of activation function in CNN
+15143,15143,What can TensorFlow be used for
+15144,15144,What IID normal
+15145,15145,Are residuals IID
+15146,15146,What is Endogeneity in regression
+15147,15147,What is mutual information and KL divergence
+15148,15148,What are attention networks
+15149,15149,What are the assumptions of chi square test
+15150,15150,What do you mean by chi square test explain the conditions for the application of chi square test
+15151,15151,When would you use a goodness of fit test
+15152,15152,How do you find bias in statistics
+15153,15153,What is the meaning of bias in statistics
+15154,15154,What is the difference between normal and Poisson distribution
+15155,15155,How do you know if a distribution is binomial
+15156,15156,When binomial distribution is normal
+15157,15157,How does AdaBoost improve classifier accuracy
+15158,15158,Can AdaBoost be used for classification
+15159,15159,Why accuracy is not good for imbalanced dataset
+15160,15160,How do you deal with imbalanced data
+15161,15161,Which of the following does not apply to cluster analysis
+15162,15162,What are the issues in knowledge representation
+15163,15163,What does it mean when data is not normally distributed
+15164,15164,How is significance level related to probability
+15165,15165,How do you find the expected sample mean
+15166,15166,What is the cost function used in linear regression
+15167,15167,What is linear cost function
+15168,15168,Is cost function same as loss function
+15169,15169,What is class interval
+15170,15170,What does an R2 value of 0.2 mean
+15171,15171,How do you improve linear regression performance
+15172,15172,How do you determine the accuracy of a regression model
+15173,15173,How do you deal with vanishing gradient problems
+15174,15174,What is serial correlation in panel data
+15175,15175,What is the role of loss function in machine learning
+15176,15176,Is an unbiased estimator for P
+15177,15177,What is the difference between H0 and H1
+15178,15178,What is the significance of correlation coefficient
+15179,15179,When a correlation is statistically significant We know that it quizlet
+15180,15180,What are the challenges of querying on large data stream
+15181,15181,What is a good R squared value for correlation
+15182,15182,How do you know if it is a probability distribution
+15183,15183,How is a machine learning model stored
+15184,15184,What is Q learning algorithm
+15185,15185,What is Q table in reinforcement learning
+15186,15186,Can you use non parametric tests on normal data
+15187,15187,How do you calculate random error
+15188,15188,How do you limit random errors
+15189,15189,What does a density plot tell us
+15190,15190,What is the difference between density and frequency
+15191,15191,What is tensor matrix
+15192,15192,Can decision trees be used for prediction
+15193,15193,How do you find the class interval size
+15194,15194,What is the difference between class interval and class size
+15195,15195,How do you represent a random variable
+15196,15196,What is the common notation for random variables
+15197,15197,What is indicator random variable
+15198,15198,How do you construct a Lorenz curve example
+15199,15199,What is the relationship between the Lorenz curve
+15200,15200,What is the purpose of stratified sampling
+15201,15201,When would you use a stratified random sample
+15202,15202,How do you use conditional probability formula
+15203,15203,How do you increase fairness in AI
+15204,15204,How does the normal curve relate to the normal distribution
+15205,15205,What is back propagation method
+15206,15206,Can we use neural networks for regression
+15207,15207,How do you choose Alpha in gradient descent
+15208,15208,What is the use of TensorFlow
+15209,15209,What is the advantage of TensorFlow
+15210,15210,What is dataset analysis
+15211,15211,How do you analyze good data
+15212,15212,What do you mean by quota sampling what are its merits
+15213,15213,Why is prescriptive analytics important
+15214,15214,What is Wilcoxon signed rank test used for
+15215,15215,How do you know whether to use a Wilcoxon signed rank test or a Wilcoxon rank sum test
+15216,15216,Can you do at test with unequal sample sizes
+15217,15217,How does sample size affect data
+15218,15218,Why are unequal sample sizes a problem
+15219,15219,When should you use classification over regression
+15220,15220,What is the difference between regression and classification in machine learning
+15221,15221,Is chi squared always right tailed
+15222,15222,Is Chi Square at test
+15223,15223,What is a hierarchical multiple regression analysis
+15224,15224,What does hierarchical regression show
+15225,15225,What is hierarchical logistic regression
+15226,15226,What does it mean when you use a 0.05 level of significance
+15227,15227,When should you reject the null hypothesis there are two correct answers
+15228,15228,Is age an ordinal variable
+15229,15229,What is considered ordinal data
+15230,15230,What is the purpose of AB testing
+15231,15231,What can you test with a B testing
+15232,15232,Why is random sampling the best method
+15233,15233,Why are random samples so important in statistics
+15234,15234,Why is it important to select samples from a population using random selection
+15235,15235,How do you receive payments on stripe
+15236,15236,How many dependent variables are there
+15237,15237,How does an activation function work
+15238,15238,How can object detection accuracy be improved
+15239,15239,Why are kernel functions used
+15240,15240,Why do we calculate odds ratio
+15241,15241,What is the function of a normal curve
+15242,15242,What is the purpose of an information criterion
+15243,15243,How do you get good at algorithms
+15244,15244,Why is it called receiver operating characteristic
+15245,15245,What does the receiver operating characteristic ROC curve show
+15246,15246,Why are energy levels quantized
+15247,15247,What is quantized energy
+15248,15248,What causes quantization
+15249,15249,What is the minimum point of AVC
+15250,15250,What is the lowest point on the average variable cost curve
+15251,15251,What is the minimum level of average variable cost
+15252,15252,What are analytical tools used for
+15253,15253,What does a residual plot determine
+15254,15254,How do you determine if a model is a good fit
+15255,15255,What kind of residual values would indicate that the line is a good fit for the data
+15256,15256,What are the various algorithms used in swarm intelligence
+15257,15257,How do you treat missing values in a data set
+15258,15258,What is the best imputation method you would consider for replacing missing values in a numerical feature
+15259,15259,What are all the components of deep learning
+15260,15260,What is deep learning theory
+15261,15261,What does Gaussian blur mean
+15262,15262,What makes a good hash function
+15263,15263,What is the mean of a set of z scores
+15264,15264,What does Z test tell you
+15265,15265,How is a positional index different from an inverted index
+15266,15266,What type of algorithm is naive Bayes
+15267,15267,What is the difference between additive and multiplicative model
+15268,15268,What is a decomposition model
+15269,15269,Can you use at test with ordinal data
+15270,15270,How do you test ordinal data
+15271,15271,What are the methods of measuring correlation
+15272,15272,How do you compare log likelihood values
+15273,15273,Why do we need non uniform quantization
+15274,15274,Why do we need quantization
+15275,15275,What is the difference between biased and unbiased estimators
+15276,15276,What is Sobel operator used for
+15277,15277,How do you create a linear regression model
+15278,15278,How do regression models work
+15279,15279,What does standardizing variables do to correlation
+15280,15280,When should you standardize variables
+15281,15281,Why is it important to have standardized variables in your experiment
+15282,15282,Why is translation not a linear transformation
+15283,15283,Why is f called a linear function
+15284,15284,What does linear mean in linear algebra
+15285,15285,Why does standard deviation not change with sample size
+15286,15286,How do you train a machine learning model
+15287,15287,What do you mean by stochastic process
+15288,15288,What makes an estimator efficient
+15289,15289,What is the region of rejection for a one tail Z Test
+15290,15290,How is semi supervised learning implemented
+15291,15291,What are Logits in deep learning
+15292,15292,What are Logits in TensorFlow
+15293,15293,Is Z value the same as critical value
+15294,15294,How do you find the critical value of a Z table
+15295,15295,What is Bayes theorem show how it is used for classification
+15296,15296,How is Bayesian algorithm useful in classification
+15297,15297,What is the difference between machine learning and data mining
+15298,15298,What is the difference between data mining and statistics
+15299,15299,Is data mining part of artificial intelligence
+15300,15300,Do you know the difference between data analytics and AI machine learning
+15301,15301,What is character N gram
+15302,15302,Does M stand for mean or median
+15303,15303,What is capital M in statistics
+15304,15304,When to use median vs mean
+15305,15305,What type of clustering is K means
+15306,15306,Why K means is considered a means of unsupervised learning
+15307,15307,What is dependent in probability
+15308,15308,Where do machine learning models deploy
+15309,15309,How is machine learning model in production used
+15310,15310,How many machine learning models are there
+15311,15311,What does it mean for an estimator to be unbiased
+15312,15312,How do you do causal analysis
+15313,15313,How is causal analysis applied in analyzing problems and solutions
+15314,15314,What is the probability of observing any particular exact value of a continuous random variable
+15315,15315,What is sift used for
+15316,15316,Why quantization is needed
+15317,15317,What is the need for non uniform quantization
+15318,15318,What quantization means
+15319,15319,Why do we quantize the data samples
+15320,15320,What does predictive model mean
+15321,15321,What is a Type 1 statistical error
+15322,15322,What is the probability of type 1 error
+15323,15323,Which statistical test can be used to measure the importance of categorical features when the output variable is numerical
+15324,15324,What is chi square test for categorical data
+15325,15325,What is KNN imputation
+15326,15326,How do you impute missing values in R using Knn
+15327,15327,Can Knn be used to impute missing values for categorical and continuous variables
+15328,15328,What is log odds in logistic regression
+15329,15329,Why do we take log of odds in logistic regression
+15330,15330,How confusion matrix is calculated
+15331,15331,What are the advantages of quota sampling
+15332,15332,What is a disadvantage of quota sampling quizlet
+15333,15333,What are the advantages and disadvantages of systematic sample selection
+15334,15334,What is feature detection
+15335,15335,What is feature matching in image processing
+15336,15336,Is unsupervised learning the same as deep learning
+15337,15337,Is an independent t test parametric or nonparametric
+15338,15338,What is a non parametric t test
+15339,15339,How do you describe a decision tree
+15340,15340,What is decision tree explain with an example
+15341,15341,How do you interpret a correlation matrix in SPSS
+15342,15342,What information does the correlation coefficient r tell us
+15343,15343,How do you interpret a correlation plot
+15344,15344,What does time invariant mean
+15345,15345,What is finite population correction factor
+15346,15346,What is training a model
+15347,15347,Why do we use gradient descent in machine learning
+15348,15348,What is accomplished by gradient descent algorithm in machine learning
+15349,15349,Why is gradient descent method is adopted to minimize error
+15350,15350,What does it mean to calibrate a model
+15351,15351,What is GLM () in R
+15352,15352,What package is GLM in
+15353,15353,How do I know my kernel size
+15354,15354,What is the kernel size in CNN
+15355,15355,What is kernel size in keras
+15356,15356,What is the difference between a sample proportion and a population proportion
+15357,15357,How do you know if a sample proportion is normally distributed
+15358,15358,What is meant by sentiment analysis
+15359,15359,What is sentiment analysis in machine learning
+15360,15360,What's the relationship between variance and standard deviation
+15361,15361,Is sample mean the same as standard deviation
+15362,15362,Why is boosting so effective
+15363,15363,What inverse binomial
+15364,15364,What is gradient descent function
+15365,15365,What is exclusive series in statistics
+15366,15366,What are the types of class intervals
+15367,15367,What is model in artificial intelligence
+15368,15368,How do you fix autocorrelation when using a linear regression model
+15369,15369,What is the problem of autocorrelation
+15370,15370,How is autocorrelation problem detected
+15371,15371,What are remedial for autocorrelation
+15372,15372,What is estimation and types of estimation
+15373,15373,What is a sample estimate in statistics
+15374,15374,What is the p value for t statistic
+15375,15375,How is the p value related to the test statistic
+15376,15376,What is a good P value for a t test
+15377,15377,What is PSD in vibration analysis
+15378,15378,What is asymptotic analysis of an algorithm
+15379,15379,What are asymptotic notations explain with examples
+15380,15380,What is machine learning and how does it relate to AI
+15381,15381,Is deep learning part of artificial intelligence
+15382,15382,What is variable What is the difference between discrete and continuous variable
+15383,15383,Can decision trees be used for continuous data
+15384,15384,What is optimization algorithm in machine learning
+15385,15385,What does it mean to sample with replacement
+15386,15386,What is the difference between sampling with replacement and sampling without replacement
+15387,15387,What is negative binomial probability distribution
+15388,15388,What is meant by sampling units in statistics
+15389,15389,What is sampling methods of sampling
+15390,15390,How are hashes calculated
+15391,15391,How do you solve a hash function
+15392,15392,What is hash function example
+15393,15393,What does variability mean in statistics
+15394,15394,How do you calculate variability in Excel
+15395,15395,How do you calculate variation of data
+15396,15396,How do you explain variability
+15397,15397,Why is artificial intelligence the future
+15398,15398,Is artificial intelligence growing
+15399,15399,What does a B testing mean
+15400,15400,What is a B testing and why is this important
+15401,15401,What is the difference between standard deviation and deviation
+15402,15402,What is a deviation
+15403,15403,Is Autoencoder neural network
+15404,15404,What is the difference between neural network and deep neural network
+15405,15405,What's the difference between Anova and Manova
+15406,15406,What function is used by logistic regression
+15407,15407,Is the cost function of logistic regression convex
+15408,15408,What does AUC score mean
+15409,15409,What is difference between ML and DL
+15410,15410,How do you solve Lagrange multipliers with two constraints
+15411,15411,How would you interpret a correlation coefficient of 1
+15412,15412,What does it mean if a coefficient is negative
+15413,15413,What is the advantage of using gradient descent algorithm
+15414,15414,Which distribution is used for a testing hypothesis
+15415,15415,How do I know if data is normally distributed
+15416,15416,How do you find the expectation of a random variable
+15417,15417,How do you find the expected value of two random variables
+15418,15418,What are the principle of sampling
+15419,15419,What are the 4 basic sampling methods
+15420,15420,How do you find prior probability
+15421,15421,How does facial recognition work step by step
+15422,15422,How well does facial recognition work
+15423,15423,What is the science behind facial recognition
+15424,15424,How does the variance of the sample mean compared to the variance of the population
+15425,15425,Is variance affected by sample size
+15426,15426,Is the sample mean always smaller than the population mean
+15427,15427,What is cosine similarity used for
+15428,15428,What is cosine similarity Python
+15429,15429,What is W in regression
+15430,15430,How do you interpret logistic regression
+15431,15431,What are the parameters in logistic regression
+15432,15432,Why is E used in logistic regression
+15433,15433,What is non response bias in statistics
+15434,15434,Which is better correlation or covariance
+15435,15435,Why is correlation sometimes more useful than covariance
+15436,15436,Why do we use covariance
+15437,15437,How do you find the class boundaries and class limits
+15438,15438,What does it mean to bootstrap
+15439,15439,Under what circumstances would you use at test rather than AZ test
+15440,15440,Why is the Z test more powerful than the t test
+15441,15441,What conditions are necessary in order to use the Z test to test the difference between two population means
+15442,15442,Why do we use Z tests for proportions
+15443,15443,What is multiple regression example
+15444,15444,What is Bayes test
+15445,15445,Does pooling affect backpropagation
+15446,15446,What is the effect of using pooling layers in convolutional neural networks
+15447,15447,How do you find cross correlation between two signals
+15448,15448,What tools are used for data mining
+15449,15449,What are text analyzing tools
+15450,15450,What is ML pipeline
+15451,15451,How is mean rank calculated
+15452,15452,Is keras and TensorFlow same
+15453,15453,What is keras tensor
+15454,15454,What is the formula for regression analysis
+15455,15455,What is the meaning of random forest
+15456,15456,Does selection bias affect validity
+15457,15457,What is the weakness of a correlational research method
+15458,15458,What is the major disadvantage of a correlational study
+15459,15459,What does a multiple regression analysis tell you
+15460,15460,What is the meaning of law of average
+15461,15461,Is year a continuous or categorical variable
+15462,15462,What is a sequence in machine learning
+15463,15463,How do you draw a decision tree
+15464,15464,What is AGI system
+15465,15465,What is the difference between ANI and AGI
+15466,15466,What does the Adam Optimizer do
+15467,15467,What is Adagrad Optimizer
+15468,15468,What is Backpropagation
+15469,15469,What is Attention layer
+15470,15470,How do you determine if something is an eigenvalue of a matrix
+15471,15471,Is an eigenvector of a matrix
+15472,15472,What type of ML algorithm is suitable for predicting the continuous dependent variable
+15473,15473,What is a continuous dependent variable
+15474,15474,How do you find the centroid of a cluster analysis
+15475,15475,How do you convert log odds to probabilities
+15476,15476,How are type I and type II errors related
+15477,15477,What is the difference between Type 1 error and Type 2 error
+15478,15478,What is the formula for class size
+15479,15479,What is literary parallelism
+15480,15480,How do you do descriptive statistics
+15481,15481,What is the purpose of descriptive statistics
+15482,15482,What is descriptive statistics and inferential statistics
+15483,15483,What does random error mean
+15484,15484,What degree do you need to work in artificial intelligence
+15485,15485,What is Gan Ai
+15486,15486,Is the law of averages real
+15487,15487,Who came up with the law of large numbers
+15488,15488,How is likelihood different from probability
+15489,15489,What is likelihood in Bayes Theorem
+15490,15490,How do you calculate likelihood
+15491,15491,Can we use TensorFlow for machine learning
+15492,15492,Is TensorFlow used for machine learning or deep learning
+15493,15493,What is a positively skewed distribution
+15494,15494,Why is Kappa so popular
+15495,15495,How do you find the convolution of two functions
+15496,15496,How do you find the output value
+15497,15497,Which neural network architecture is most widely used for time series analysis
+15498,15498,Which neural network architecture is best suited for predicting time series sequences
+15499,15499,How do you find how many standard deviations from the mean
+15500,15500,How do you calculate 3 standard deviations from the mean
+15501,15501,How many standard deviations from the mean is normal
+15502,15502,How many units of standard deviation from the mean
+15503,15503,What is training loss
+15504,15504,What is the relationship between the PDF and the CDF of a continuous random variable
+15505,15505,Why is the SI system metric
+15506,15506,What is considered a metric unit
+15507,15507,What is a Word2vec model
+15508,15508,Which is the best model used in Word2vec algorithm for word embedding
+15509,15509,What do second order partial derivatives mean
+15510,15510,What does the second derivative tell you
+15511,15511,Why do we use second derivative test
+15512,15512,What is ML Optimizer
+15513,15513,What is the difference between BRCA 1 and 2
+15514,15514,Does BRCA2 skip a generation
+15515,15515,What is the goal of random sampling with replacement
+15516,15516,What is the purpose of selecting the survey targets randomly
+15517,15517,How do you get Cohen's kappa
+15518,15518,How do you prove independence of two random variables
+15519,15519,What does b1 mean in linear regression
+15520,15520,What does B represent in regression
+15521,15521,What is a coefficient in regression
+15522,15522,What does an r2 value tell us
+15523,15523,How many types of objective functions are there
+15524,15524,How neural networks are used in deep learning
+15525,15525,What is Network in deep learning
+15526,15526,How do neural networks learn
+15527,15527,When researchers randomly assign subjects to groups it means that
+15528,15528,Why are subjects randomly assigned to experimental and control groups
+15529,15529,What are the pros and cons of stratified sampling
+15530,15530,What are the advantages and disadvantages of sampling techniques
+15531,15531,What is a decision tree and how are they developed
+15532,15532,What are the steps in decision tree analysis
+15533,15533,What are the different types of distribution
+15534,15534,What is N point
+15535,15535,How do you calculate N point DFT
+15536,15536,What is the DFT of x n
+15537,15537,What is K in DFT
+15538,15538,Is Anova the same as multiple regression
+15539,15539,Why do we use Anova in regression
+15540,15540,Is Anova a form of multiple linear regression
+15541,15541,How can Multicollinearity affect regression models
+15542,15542,How do you perform multiple regression analysis
+15543,15543,How do you analyze multiple linear regression
+15544,15544,What is the difference between the critical value of Z and the observed value of Z
+15545,15545,Is critical value the same as P value
+15546,15546,What causes a positively skewed distribution
+15547,15547,What does it mean if your data is positively skewed
+15548,15548,What causes a skew in statistics terms
+15549,15549,Why is cluster sampling used
+15550,15550,What programming language is used for deep learning
+15551,15551,What are deep learning techniques
+15552,15552,What is the definition of a false positive
+15553,15553,Is it possible to test positive while not pregnant
+15554,15554,How do you find the entropy of a source
+15555,15555,What is an entropy source Randonautica
+15556,15556,What does multinomial logistic regression do
+15557,15557,How do you analyze data from a survey
+15558,15558,How do you analyze qualitative survey data
+15559,15559,How do you analyze survey data with multiple responses
+15560,15560,What are the main differences between discrete and continuous probability distributions
+15561,15561,How does K nearest KNN algorithm work
+15562,15562,What does the K in Knn indicate
+15563,15563,What do feature detectors help you to perceive
+15564,15564,Where are feature detectors located and what do they do
+15565,15565,How do feature detectors help the brain process visual information
+15566,15566,What are feature detectors quizlet
+15567,15567,What is downsampling an image
+15568,15568,What is the purpose of downsampling
+15569,15569,How do I reduce the quality of a picture
+15570,15570,What is inverse geometry example
+15571,15571,What does loss mean in deep learning
+15572,15572,How do I know if my data is parametric or nonparametric
+15573,15573,What is the z score for a 95% confidence interval
+15574,15574,What is the sampling method in qualitative research
+15575,15575,What are probability estimates
+15576,15576,How do you do estimation in statistics
+15577,15577,What is degrees of freedom in Chi square distribution
+15578,15578,How do you find the degrees of freedom for a chi square test
+15579,15579,What is the difference between machine learning and reinforcement learning
+15580,15580,What is control in reinforcement learning
+15581,15581,Is Reinforcement a learning optimization
+15582,15582,What is a pooling layer in CNN
+15583,15583,Can statistics be misused explain with two examples
+15584,15584,What is segmentation in object detection
+15585,15585,What is scene segmentation
+15586,15586,Why do we interpolate data
+15587,15587,How do you calculate z test statistic
+15588,15588,What is a single sample z test
+15589,15589,What is the formula for the single sample t statistic
+15590,15590,How do you find the sample value of a test statistic
+15591,15591,What is a standard regression
+15592,15592,Which type of sampling is biased
+15593,15593,Are some selection devices biased
+15594,15594,Why is logistic regression called a linear model
+15595,15595,Is logistic regression the same as linear regression
+15596,15596,Is logistic regression A regression model
+15597,15597,Is linear regression a linear model
+15598,15598,What's the difference between blocking and non blocking functions
+15599,15599,What is the difference between asynchronous and non blocking Nodejs
+15600,15600,Does random forest use bootstrap
+15601,15601,When to use boosting vs bagging
+15602,15602,What do you understand by the concept of learning
+15603,15603,How does concept learning occur
+15604,15604,What split criteria
+15605,15605,What is splitting variable in big data
+15606,15606,What is the criterion to select nodes for splitting in a decision tree
+15607,15607,How are ml and AI related
+15608,15608,Is machine learning part of AI
+15609,15609,How do you interpret the p value in a chi square test
+15610,15610,What is sequential transfer of learning
+15611,15611,What is sequential behavior
+15612,15612,What is sensitivity in signal detection theory
+15613,15613,What is criterion in signal detection theory
+15614,15614,What is an example of signal detection theory
+15615,15615,How do you plot a ROC curve
+15616,15616,What is ROC curve in logistic regression
+15617,15617,Why are eigenvalues and eigenvectors important
+15618,15618,What is machine learning coding
+15619,15619,Is coding related to AI
+15620,15620,What is meant by Fourier transform
+15621,15621,What is FFT in image processing
+15622,15622,Why should we develop AI
+15623,15623,What is AI advantages and disadvantages
+15624,15624,What does the variance tell us in statistics
+15625,15625,How do you interpret variance in descriptive statistics
+15626,15626,What is the link between Poisson and exponential distribution
+15627,15627,How is Poisson derived from exponential distribution
+15628,15628,Is the Poisson distribution is a special case of the exponential distribution
+15629,15629,What does quantile mean in statistics
+15630,15630,How do you find Quantiles in statistics
+15631,15631,What do ACF plots tell us
+15632,15632,What are ACF and PACF plots
+15633,15633,What is autocorrelation in machine learning
+15634,15634,What is the null hypothesis for a Wilcoxon signed rank test
+15635,15635,What does the P value measure
+15636,15636,In what ways are the distributions of the Z statistic and t test statistic alike how do they differ
+15637,15637,Why do we use the t distribution and not the Z distribution
+15638,15638,What are activation function used in hidden layer
+15639,15639,Why ReLU is used in hidden layers
+15640,15640,Which activation function is used in calculation of output of the hidden layer
+15641,15641,What is naive Bayes probability
+15642,15642,What does the P stand for in Bayes Theorem
+15643,15643,What data is best for a histogram
+15644,15644,Are histograms used for qualitative data
+15645,15645,What does a distribution show us about a data set
+15646,15646,How do you interpret data distribution
+15647,15647,What does a distribution represent
+15648,15648,What does a Z test tell you
+15649,15649,What is the one sample z test used to compare
+15650,15650,Why is it important to know if data has bias
+15651,15651,How can bias affect a statistical study
+15652,15652,Why is it important to use an unbiased sample in your study
+15653,15653,Why Artificial Intelligence is a threat
+15654,15654,What are the dangers of artificial intelligence
+15655,15655,What things in nature follow a normal distribution
+15656,15656,How do you determine the shape of a sampling distribution
+15657,15657,What is the expected shape of the distribution of the sample mean
+15658,15658,How is the shape of the sampling distribution affected by sample size
+15659,15659,What is the shape of the sampling distribution of the means if random samples of size n become larger
+15660,15660,What does cross sectional study mean
+15661,15661,What are the pros and cons of decision tree analysis
+15662,15662,Which algorithm is gradient descent technique for solving optimization problem
+15663,15663,What does LS TM stands for
+15664,15664,How do you choose variables in logistic regression
+15665,15665,What is the purpose of cluster analysis in data warehouse
+15666,15666,What does it mean when a null hypothesis is rejected
+15667,15667,What is ReLU machine learning
+15668,15668,What's confidence level in statistics
+15669,15669,How does machine learning preprocess data
+15670,15670,What are the steps of data preprocessing
+15671,15671,What are cumulative distribution function used for
+15672,15672,What is cluster analysis used for
+15673,15673,Why Clustering is important in real life
+15674,15674,How do you find the interaction effect in SPSS
+15675,15675,How do you find interaction in statistics
+15676,15676,How is AI being used
+15677,15677,What are ML applications
+15678,15678,Which of the following are application of machine learning and deep learning
+15679,15679,What is the decision rule use the 0.05 significance level
+15680,15680,What are the advantages of random sampling
+15681,15681,How is facial recognition used today
+15682,15682,How is machine learning related to data mining
+15683,15683,What is meant by machine learning in data mining
+15684,15684,How does machine learning use data
+15685,15685,What does the average deviation tell you
+15686,15686,What is clustering in machine learning with example
+15687,15687,What is the formula to find the mean in statistics
+15688,15688,Is Z test and z score the same
+15689,15689,Is normality required for T test
+15690,15690,Is a one sample t test robust
+15691,15691,How can I change the position of a picture
+15692,15692,How do I move an image to the right side in CSS
+15693,15693,How do you do binomial expansion
+15694,15694,How do you interpret binomial theorem
+15695,15695,What is RNN in machine learning
+15696,15696,How do you find the linearity of a multiple regression
+15697,15697,How do you find the linearity assumption of a linear regression
+15698,15698,How do you check for linearity in multiple regression in SPSS
+15699,15699,Is CNN a feedforward network
+15700,15700,What is the difference between a feedforward neural network and RNN
+15701,15701,What is a dense layer in machine learning
+15702,15702,What is the difference between PCA and CCA
+15703,15703,What is CCA in statistics
+15704,15704,What are advantages of non probability sampling
+15705,15705,What are curves in photography
+15706,15706,Who created the S curve
+15707,15707,What does inverted index mean
+15708,15708,What is the difference between forward indexing and backward indexing in list
+15709,15709,What is weighted KNN
+15710,15710,What is entropy related to
+15711,15711,What is the standard error of the difference between means
+15712,15712,How do you interpret Pointwise mutual information
+15713,15713,What is PMI in algorithm
+15714,15714,What are the type of problems in which artificial neural network can be applied
+15715,15715,How do you graph a probability distribution
+15716,15716,What does kernel mean in linear algebra
+15717,15717,What is the kernel of a transformation
+15718,15718,What is the kernel of a vector
+15719,15719,How do you find the basis of a kernel
+15720,15720,What do you mean by learning in neural networks
+15721,15721,How do we define learning
+15722,15722,What is learning in machine learning
+15723,15723,How do you find the semantic similarity between two sentences
+15724,15724,What is the role of transfer learning in zero shot learning
+15725,15725,How do you find the variance of a square
+15726,15726,What is sum squared deviation
+15727,15727,How does naive Bayes learn
+15728,15728,How is Bayesian probability used in research
+15729,15729,Is the sum of normal distributions normal
+15730,15730,Is the difference of two normal distributions normal
+15731,15731,How do you combine two normal distributions
+15732,15732,What is multivariate regression analysis
+15733,15733,How do you do multivariate Cox regression in SPSS
+15734,15734,What does multivariate regression mean
+15735,15735,What is a simple regression analysis
+15736,15736,How do you calculate sample size in random sampling
+15737,15737,How do you find K in systematic sampling
+15738,15738,What is the purpose of the log function
+15739,15739,Why log base 2 is used to measure the entropy
+15740,15740,How do you find the probability density function of x
+15741,15741,How do you test a joint density function
+15742,15742,Why Gaussian filter is used in image processing
+15743,15743,What is the difference between Gaussian blur and lens blur
+15744,15744,What is the advantage of using Gaussian blur
+15745,15745,What does class boundaries mean in statistics
+15746,15746,In which classes limits are boundaries
+15747,15747,What is the class boundary of 0 9
+15748,15748,What is Judgemental sampling with example
+15749,15749,How does K mean
+15750,15750,How do you know if a system is isolated
+15751,15751,When X and Y are statistically independent then I x Y is
+15752,15752,What is the mean of a geometric distribution
+15753,15753,How do you find the mean and standard deviation of a geometric distribution
+15754,15754,What is the formula for finding the mean of a binomial distribution
+15755,15755,What is outlier in machine learning
+15756,15756,What are the unsupervised learning techniques
+15757,15757,What does condition mean in statistics
+15758,15758,What is a conditional variable in statistics
+15759,15759,How do you improve validation accuracy
+15760,15760,What is non linear model of communication
+15761,15761,What is the output of a logistic regression algorithm
+15762,15762,How do you interpret logistic regression output
+15763,15763,What is the output of a regression
+15764,15764,What are applications of artificial intelligence
+15765,15765,What are the differences between Minimax algorithm and Alphabeta with examples )
+15766,15766,What is the limit of factor loadings
+15767,15767,What is a good factor loading score
+15768,15768,What is the acceptable range for factor loading in SEM
+15769,15769,What is an acceptable Delta E for color
+15770,15770,What is Delta E mean
+15771,15771,How do you read a Delta E report
+15772,15772,What is Delta E in monitor
+15773,15773,How do you prove a transformation is linear
+15774,15774,How do you prove a map is linear
+15775,15775,How do you show a matrix is a linear transformation
+15776,15776,What is TFX
+15777,15777,What is pipeline in TensorFlow
+15778,15778,How do you know if a population is normally distributed
+15779,15779,Is logistic regression a classifier
+15780,15780,Why is logistic regression a linear classifier
+15781,15781,What is a wavelet transform used for
+15782,15782,Why we use wavelet transform in image processing
+15783,15783,How do you find X in a regression equation
+15784,15784,How do you find the regression line of X on Y
+15785,15785,What is synchronous vs asynchronous learning
+15786,15786,Which is an example for asynchronous learning
+15787,15787,What does asynchronous learning mean
+15788,15788,What is synchronous learning
+15789,15789,What is stepwise model selection
+15790,15790,What is K in hypergeometric distribution
+15791,15791,Is hypergeometric distribution with replacement
+15792,15792,What are different types of probability sampling
+15793,15793,What are the three types of probability sampling
+15794,15794,What is false alarm
+15795,15795,Which of the following constitutes a false alarm in signal detection theory
+15796,15796,How do I report Poisson regression in SPSS
+15797,15797,How do you do Poisson regression
+15798,15798,How do uncertainties arise in measurements
+15799,15799,What affects the value of the uncertainty during measurement
+15800,15800,What happens to uncertainty when you add
+15801,15801,Is a normal distribution continuous or discrete
+15802,15802,Is statistical inference machine learning
+15803,15803,Why validation accuracy is higher than training accuracy
+15804,15804,What is a Subhazard ratio
+15805,15805,How is machine learning different from regression
+15806,15806,Is AI a regression
+15807,15807,What does P value of 0.000 mean
+15808,15808,How do you explain entropy
+15809,15809,What is entropy and why does it matter
+15810,15810,Is entropy good or bad
+15811,15811,What is Word2vec model
+15812,15812,What is Gamma distribution function
+15813,15813,What are the different types of random variables
+15814,15814,What is an example of logistic growth
+15815,15815,Can neural networks be used for regression
+15816,15816,What is regression in deep learning
+15817,15817,Is linear regression deep learning
+15818,15818,How do you know if Alpha is significant
+15819,15819,What is Alpha and P value
+15820,15820,How does sample size affect the mean
+15821,15821,Why is a smaller sample size bad
+15822,15822,What is an example of an outgroup
+15823,15823,What is logit in machine learning
+15824,15824,Which method is used to build the decision tree model
+15825,15825,What is decision tree in algorithm
+15826,15826,Which of the following algorithm is used for decision tree induction
+15827,15827,What is dissimilarity in machine learning
+15828,15828,Is R Squared just correlation squared
+15829,15829,Is the correlation coefficient R or R 2
+15830,15830,What does R Squared mean
+15831,15831,How do you calculate sample proportion
+15832,15832,What is the sampling proportion
+15833,15833,How do you find the sample proportion of a confidence interval
+15834,15834,What is the sample proportion P̂
+15835,15835,How is LDA model tested
+15836,15836,What does a robust test mean
+15837,15837,How is robustness measured
+15838,15838,How do you know if data is Gaussian
+15839,15839,How do you test for Gaussian distribution
+15840,15840,What is characteristic of a Gaussian distribution
+15841,15841,How do you interpret skewness and kurtosis
+15842,15842,What is the difference between big data and data
+15843,15843,How do you define big data
+15844,15844,What is big data and types of big data
+15845,15845,What is the meaning of bottleneck
+15846,15846,What is meant by paired data
+15847,15847,What is a paired sample
+15848,15848,Is sampling error and margin of error the same
+15849,15849,What is the difference between sampling error and measurement error
+15850,15850,How do you find standard error and margin of error
+15851,15851,What is the difference between sampling errors and non sampling errors
+15852,15852,How do you read a survival analysis
+15853,15853,What is the loss for binary data
+15854,15854,Why does sample size decrease as effect size increases
+15855,15855,How does increasing effect size affect the required sample size for a certain level of power
+15856,15856,How does increasing sample size effect Cohen's d
+15857,15857,Can Knn be used for classification and regression
+15858,15858,What is the use of cross correlation
+15859,15859,What does a correlation value tell you
+15860,15860,What do you mean by knowledge based system
+15861,15861,What is the U symbol in probability
+15862,15862,What is the upside down U in probability
+15863,15863,What does the N symbol mean in probability
+15864,15864,How does Bigram work
+15865,15865,What are the components of reinforcement learning
+15866,15866,What is a experiment in statistics
+15867,15867,How do you find the difference between proportions
+15868,15868,How do you compare two sample proportions
+15869,15869,What are common inferential statistics
+15870,15870,Does logistic regression work with categorical variables
+15871,15871,Can logistic regression be used for regression
+15872,15872,What is random grid search
+15873,15873,What happens to R square when we move from simple linear regression to multiple linear regression
+15874,15874,What does R Squared tell you in linear regression
+15875,15875,What happens to correlation when variables are switched
+15876,15876,Does the dependent variable change based on the independent variable
+15877,15877,What do you mean by data wrangling and warehousing explain the difference
+15878,15878,Which of the following might be valid reasons for preferring an SVM over a neural network
+15879,15879,How do you create a custom dataset for object detection
+15880,15880,How do you make an object detection
+15881,15881,How are algorithms discriminated
+15882,15882,What are some strategies for avoiding prediction bias
+15883,15883,What does bins mean in statistics
+15884,15884,What is raw moment in statistics
+15885,15885,What is pit testing
+15886,15886,How can mutation scores be improved
+15887,15887,What are the main benefits of mini batch gradient descent
+15888,15888,What type of data is needed for a correlation analysis
+15889,15889,Can Pearson correlation be used for ordinal data
+15890,15890,What is Pearson's correlation coefficient used for
+15891,15891,What is the expected value of XY
+15892,15892,What is XY in probability
+15893,15893,Is MongoDB good for big data
+15894,15894,Is MongoDB good for analytics
+15895,15895,Is MongoDB a time series database
+15896,15896,How do you know if data is dependent or independent
+15897,15897,What does the central limit theorem predict about a sampling distribution of means
+15898,15898,What is the mean of the sampling distribution of the sample mean
+15899,15899,Why is cluster sampling better than simple random sampling
+15900,15900,What is ML and its application
+15901,15901,What is the difference between discrete Fourier series and discrete Fourier transform
+15902,15902,Why median filter is nonlinear
+15903,15903,Can skewed distribution be normal
+15904,15904,What is B in logistic regression
+15905,15905,What does beta value mean in logistic regression
+15906,15906,How do you find B0 and B1 in logistic regression
+15907,15907,What are the goals of AI
+15908,15908,What are the techniques of artificial intelligence
+15909,15909,What is false discovery rate in microarray data
+15910,15910,What statistic should be used to find out whether there is a relationship between two variables where at least one variable is ordinal consists of rankings )
+15911,15911,What is the main function of logarithm
+15912,15912,What is logarithmic function
+15913,15913,Why does Anova require normal distribution
+15914,15914,What to do if residuals are not normally distributed Anova
+15915,15915,What is Type I and Type II error in statistics
+15916,15916,How do you find a type 1 error in statistics
+15917,15917,How do you show a function is a probability density function
+15918,15918,What is meant by noise probability density function
+15919,15919,Is a Likert scale a categorical variable
+15920,15920,What is difference between probability sampling and non probability sampling
+15921,15921,What are the advantages of probability sampling
+15922,15922,What is the formula for a permutation
+15923,15923,What is the permutation of 12
+15924,15924,How Lstm is better than RNN
+15925,15925,What are benefits of machine learning
+15926,15926,What is perception in artificial intelligence
+15927,15927,What is perception in machine learning
+15928,15928,What does it mean to center a variable
+15929,15929,What is centering in regression
+15930,15930,When should you center variables
+15931,15931,Why would you mean center the dependent variable
+15932,15932,Is Bayes Theorem the same as conditional probability
+15933,15933,What are generating functions used for
+15934,15934,What is generating function in statistics
+15935,15935,How does statistics relate to data science
+15936,15936,Do you need statistics for data science
+15937,15937,What is the relationship between mean and standard deviation
+15938,15938,Does variance increase with mean
+15939,15939,What is accuracy predictive model
+15940,15940,What is a Turing machine used for
+15941,15941,Which pairs of events are independent
+15942,15942,Which is better angular react or VUE
+15943,15943,Which is better react or angular
+15944,15944,How do you explain binomial expansion
+15945,15945,What is binomial expansion used for
+15946,15946,How do you expand a binomial product
+15947,15947,What evidence supports the idea of feature detectors
+15948,15948,Where are feature detector cells found
+15949,15949,How do you find the threshold value of an image
+15950,15950,What is threshold value of an image
+15951,15951,Can I use Anova to compare two means
+15952,15952,How many groups are in a one way Anova
+15953,15953,How do you establish a relationship between two variables
+15954,15954,How do you find the relationship between two numerical variables
+15955,15955,Is used to show the relationship between two variables
+15956,15956,Which is required by K means clustering
+15957,15957,What are assumptions for logistic regression
+15958,15958,How do you prevent false positives
+15959,15959,What is false positive in machine learning
+15960,15960,What is meant by extrapolation
+15961,15961,What does squashing mean
+15962,15962,What is Tanh activation function
+15963,15963,What is linear decision boundary
+15964,15964,What is non linear classification
+15965,15965,Is decision tree linear or nonlinear
+15966,15966,How do you do a regression with multiple variables in Excel
+15967,15967,What is the difference between P value and significance level
+15968,15968,What does alpha level tell you
+15969,15969,What alpha value should I use
+15970,15970,What is probabilistic linear discriminant analysis
+15971,15971,What is entropy in deep learning
+15972,15972,What is cross entropy in Tensorflow
+15973,15973,What is cross entropy loss in machine learning
+15974,15974,What is an image dataset
+15975,15975,Why do we do back propagation
+15976,15976,How do you calculate standard error in multiple regression
+15977,15977,What is standard error in multiple regression
+15978,15978,How do you find the standard error of a linear regression
+15979,15979,How do you calculate precision and recall from classification report
+15980,15980,How do you compare two normal distributions
+15981,15981,Under what circumstances can you use the exponential distribution
+15982,15982,How do you calculate Cohen's kappa coefficient
+15983,15983,How are kappa scores calculated
+15984,15984,What are the properties of a normal curve
+15985,15985,What is the meaning of linear transformation
+15986,15986,What is the difference between linear transformation and matrix transformation
+15987,15987,What is the difference between linear and nonlinear transformation
+15988,15988,What is interactive decision tree
+15989,15989,How do you create a decision tree
+15990,15990,What is knowledge in artificial intelligence
+15991,15991,What is knowledge and types of knowledge in AI
+15992,15992,How do you represent facts and knowledge in AI
+15993,15993,What is statistical conclusion validity in research
+15994,15994,What does hashed mean
+15995,15995,What is the sum of two random variables
+15996,15996,What is the convolution sum
+15997,15997,How many agents there is in Artificial Intelligence AI )
+15998,15998,How do you develop deep learning models with keras
+15999,15999,What is an activation value in artificial neuron
+16000,16000,What is training accuracy and validation accuracy
+16001,16001,What is training and testing accuracy
+16002,16002,What is the smallest alpha that you can reject the null hypothesis under when you have a P value of 049
+16003,16003,What is the smallest level of significance at which you would be willing to reject the null hypothesis
+16004,16004,How do you choose alpha value
+16005,16005,What is the main objective of clustering
+16006,16006,What is class and object difference between class and object
+16007,16007,What does it mean to normalize data in statistics
+16008,16008,Do we normalize test data
+16009,16009,What is feature space in machine learning
+16010,16010,How do you find the derivative of a chain rule
+16011,16011,How do you find the second derivative using the chain rule
+16012,16012,How do you calculate the confidence measure for an association rule
+16013,16013,How much RAM is needed for deep learning
+16014,16014,Do we need GPU for deep learning
+16015,16015,What makes deep learning deep
+16016,16016,What does beta mean in multiple linear regression
+16017,16017,Is Beta same as correlation
+16018,16018,What do beta values represent
+16019,16019,What is parametric test in SPSS
+16020,16020,What are the major differences between parametric and nonparametric tests
+16021,16021,What is ACF in Arima
+16022,16022,How do you identify a sampling frame
+16023,16023,What does reinforcement learning mean
+16024,16024,What does it mean to normalize a distribution
+16025,16025,How do you normalize a distribution function
+16026,16026,How do you normalize a data distribution
+16027,16027,Why is ReLU popular
+16028,16028,What is Sobel edge detection algorithm
+16029,16029,Which of the following algorithm is used for object detection
+16030,16030,What is Type 2 error in hypothesis testing
+16031,16031,How face is detected
+16032,16032,What does a cumulative probability density function show
+16033,16033,What univariate analysis tells us
+16034,16034,Is Random Forest a boosting algorithm
+16035,16035,Is Random Forest a linear model
+16036,16036,Is Random Forest a binary classifier
+16037,16037,How do you find the critical value in hypothesis testing
+16038,16038,What is the Turing test for AI
+16039,16039,How do you test for artificial intelligence
+16040,16040,Which statement is logically equivalent to P → Q
+16041,16041,What is logically equivalent to p implies q
+16042,16042,How does random forest handle missing values
+16043,16043,How do you deal with missing random data
+16044,16044,What does it mean if correlation is 0
+16045,16045,What does it mean if R 0 quizlet
+16046,16046,What does R 0 look like
+16047,16047,When R 0 The two regression lines are
+16048,16048,How do you calculate the correlation between two variables
+16049,16049,What is a regression task
+16050,16050,What is FCN network
+16051,16051,How do you calculate Frobenius Norm
+16052,16052,What is the Frobenius norm of a matrix
+16053,16053,What is the spectral norm of a matrix
+16054,16054,How do you find the magnitude of a matrix
+16055,16055,Do all variables need to be normally distributed in linear regression
+16056,16056,Which of the following are the metrics for model evaluation
+16057,16057,Which metrics will you use in selecting the best classification model
+16058,16058,What is the notation for population variance
+16059,16059,What does it mean for a data set to have a normal distribution
+16060,16060,Which type of test is the Wilcoxon rank sum test
+16061,16061,Is Wilcoxon a test
+16062,16062,Which classification algorithm is best
+16063,16063,How will you determine the machine learning algorithm that is suitable for your problem
+16064,16064,How do you do a causal analysis
+16065,16065,How is causal analysis applied in Analysing problems and solutions
+16066,16066,How do you read an Anderson Darling normality test
+16067,16067,How do you read a normality test
+16068,16068,How is Anderson Darling statistic calculated
+16069,16069,What is Anderson Darling p value
+16070,16070,Can ordinal data be used in regression
+16071,16071,Did the estimated regression equation provide a good fit
+16072,16072,How do you interpret the coefficient of negative binomial regression
+16073,16073,Is SPSS available for Mac
+16074,16074,What platforms does TensorFlow Lite support
+16075,16075,How do neurons work step by step
+16076,16076,How does a neuron function
+16077,16077,How does a neuron become activated
+16078,16078,What is uncertainty in AI
+16079,16079,What is inference in deep learning
+16080,16080,What happened to Lee sedol
+16081,16081,What is the difference between sample variance and population variance
+16082,16082,How do you find the sample variance of differences
+16083,16083,Is one metric for evaluating classification models
+16084,16084,What is a metric how does it differ from loss
+16085,16085,What is loss function in decision tree
+16086,16086,Is logistic regression prone to outliers
+16087,16087,Does a logistic regression model have a closed form solution
+16088,16088,Which type of problems are best for logistic regression
+16089,16089,How are distribution and variation important in any statistical study
+16090,16090,What is predictor in data mining
+16091,16091,How do you generate randomness
+16092,16092,What are labels in machine learning
+16093,16093,What is the purpose of the discriminant
+16094,16094,How do you do dimensional analysis easily
+16095,16095,What is difference between recursive and nonrecursive
+16096,16096,What does the rank of a matrix mean
+16097,16097,How do you know the rank of a matrix
+16098,16098,Can a matrix have rank 0
+16099,16099,What are the Hyperparameters of decision tree
+16100,16100,What is a unigram model
+16101,16101,What is unigram distribution
+16102,16102,How do you find sample variance and standard deviation
+16103,16103,How do you find sample variance on TI 84 Plus
+16104,16104,How do you find the sample variance in Excel
+16105,16105,How do you choose a prediction model
+16106,16106,How do you predict a model
+16107,16107,Does converting to Z scores affect the shape of distribution
+16108,16108,What effect does standardizing into Z scores have on the shape of the distribution of a variable
+16109,16109,What is the shape of a distribution of z scores
+16110,16110,How do you read a decision tree in R
+16111,16111,How do you calculate survival rate
+16112,16112,What is a Type I error in hypothesis testing
+16113,16113,What is the definition of Type I error when does it occur How is it related with level of significance explain
+16114,16114,What is a feature matrix
+16115,16115,Why is mean square error a bad measure of model performance
+16116,16116,How do you find the z score for a 96 confidence interval
+16117,16117,What is negative entropy in communication
+16118,16118,Is the decision boundary of logistic regression linear
+16119,16119,How do I know if a linear model is appropriate
+16120,16120,What does an r2 value of 0.1 mean
+16121,16121,When events A and B are said to be independent What does that mean
+16122,16122,What does it mean if events are independent
+16123,16123,How do you determine independent and dependent events
+16124,16124,What is factorial Anova
+16125,16125,Is another name for a factorial Anova
+16126,16126,What is localization computer vision
+16127,16127,How do I get around Facebook algorithm
+16128,16128,What is normalization and standardization in machine learning
+16129,16129,What is data science and what is the relationship between data science and statistics
+16130,16130,How do statistics relate to data science
+16131,16131,What is the derivative of the ReLU function
+16132,16132,Is Tanh differentiable
+16133,16133,Is Random Forest supervised learning
+16134,16134,Is decision tree ensemble learning
+16135,16135,What is the interaction effect in a two way Anova
+16136,16136,What is FIR and IIR filters
+16137,16137,How do I know if my FIR filter is IIR
+16138,16138,What does cumulative distribution function show
+16139,16139,What is meant by the term cumulative distribution function and how would you apply it example to the concept of discrete probability
+16140,16140,What is VAR model in time series
+16141,16141,How do you calculate the relative frequency
+16142,16142,How do you calculate relative frequency and percentage
+16143,16143,Where is Gan used
+16144,16144,How do you find the periodic function of Fourier series
+16145,16145,Is K nearest neighbor a neural network
+16146,16146,How do you interpret R Squared in statistics
+16147,16147,Does unsupervised learning needs labeled data for training
+16148,16148,Which type of machine learning uses both input and output data to develop predictive models
+16149,16149,What is the nonparametric equivalent of a two way Anova
+16150,16150,What is difference between local and global features of image
+16151,16151,What are low level features of an image
+16152,16152,What is random variable in probability
+16153,16153,Are robots conscious
+16154,16154,Are there neural correlates of consciousness
+16155,16155,What are neural networks based on
+16156,16156,What is the function of the activation function
+16157,16157,What is automatic feature engineering
+16158,16158,What makes a Markov chain regular
+16159,16159,What are the parametric assumptions
+16160,16160,What are the assumptions of Anova
+16161,16161,What type of data is a box plot
+16162,16162,Do box plots show standard deviation
+16163,16163,Do regular Bloom filters support deletion
+16164,16164,Which function is used for Bloom filter in FAP
+16165,16165,What are 4 possible ways to test a hypothesis
+16166,16166,Which one is the application of deep learning
+16167,16167,What makes a distribution bimodal
+16168,16168,Can decision trees be used for classification tasks Sanfoundry
+16169,16169,Is decision tree a classifier
+16170,16170,How do you find the hash value of a string
+16171,16171,What does hashed value mean
+16172,16172,How do you know if an association is linear
+16173,16173,How do we determine when a linear model is an appropriate model for a scatterplot
+16174,16174,What is the difference between exploratory and explanatory analysis
+16175,16175,What is exploratory data analysis explain with an example
+16176,16176,What are the measures of location
+16177,16177,What is the location of a distribution
+16178,16178,Why is anomaly detected
+16179,16179,How do you find the joint probability distribution of two random variables
+16180,16180,What is feature construction in machine learning
+16181,16181,How do you interpret the coefficient of determination
+16182,16182,How do you interpret multiple coefficients of determination
+16183,16183,How is r2 value calculated
+16184,16184,Is time a dependent variable
+16185,16185,Is interquartile range the same as range
+16186,16186,Is Quartile the same as median
+16187,16187,What is Word2Vec algorithm
+16188,16188,What is Word2Vec size
+16189,16189,How do you find variance of expected return
+16190,16190,How do you calculate the expected return and variance of a portfolio
+16191,16191,What is return variance
+16192,16192,What is 2SLS regression
+16193,16193,What is order condition for identification
+16194,16194,How do you write the results of descriptive statistics
+16195,16195,How do you know if its a binomial distribution
+16196,16196,Does random forest use gradient descent
+16197,16197,Is Manova the same as factorial Anova
+16198,16198,What is IID data
+16199,16199,Are returns IID
+16200,16200,What is feature in dataset
+16201,16201,What is features in machine learning
+16202,16202,How do you calculate Bayesian Information Criterion
+16203,16203,How are AIC and BIC calculated
+16204,16204,What is AIC value in logistic regression
+16205,16205,How is threshold value calculated in image processing in Matlab
+16206,16206,What is threshold in image segmentation
+16207,16207,When would you use K means cluster
+16208,16208,How do I know which clustering technique to use
+16209,16209,What is normalization layer in CNN
+16210,16210,How does DCT compression work
+16211,16211,What is DCT in image compression
+16212,16212,What is real in the Matrix
+16213,16213,Is the real world in the matrix another matrix
+16214,16214,What happened to the humans in the Matrix
+16215,16215,How does Alpha relate to p value
+16216,16216,What is the value of alpha
+16217,16217,How is naive Bayes algorithm implemented
+16218,16218,How is classification done using Bayes classifier
+16219,16219,Why does the naive Bayes classifier tend to work well in practice
+16220,16220,What is ranking loss
+16221,16221,How do you optimize metadata
+16222,16222,How do you optimize tags
+16223,16223,What are independent events in probability
+16224,16224,What does it mean to be statistically independent
+16225,16225,How do you prove something is statistically independent
+16226,16226,How do you find intervals on a histogram
+16227,16227,What is an interval on a histogram
+16228,16228,What makes an artificial neuron
+16229,16229,What is performance in machine learning
+16230,16230,What is the measure of standard performance for machine learning
+16231,16231,How do you measure classification of performance
+16232,16232,What is performance measure in artificial intelligence
+16233,16233,Why it is called deep learning
+16234,16234,What is difference between deep learning and shallow learning
+16235,16235,What is latent dimensionality
+16236,16236,Is standard normal distribution the same as normal distribution
+16237,16237,How is the normal distribution curve related to standard deviation
+16238,16238,How is the empirical distribution related to the normal distribution
+16239,16239,What is H0 in statistics
+16240,16240,Is null hypothesis H0 or Ho
+16241,16241,What is TensorFlow algorithm
+16242,16242,What is regression effect
+16243,16243,What does batch size mean
+16244,16244,How do you define a distribution
+16245,16245,What is an example of simple random sampling
+16246,16246,How do you interpret a correlation matrix in python
+16247,16247,How do you calculate error matrix
+16248,16248,Can ordinal data be treated as interval data
+16249,16249,What does it mean when covariance is negative
+16250,16250,Why is it important to examine a residual plot even if a scatter plot appears to be linear
+16251,16251,What does a residual plot show us
+16252,16252,What is meant by likelihood function
+16253,16253,What are the benefits of independent learning
+16254,16254,How do you promote autonomous learning
+16255,16255,What are the advantages of offline classes
+16256,16256,What are the advantages and disadvantages of offline classes
+16257,16257,What are the disadvantages of offline classes
+16258,16258,Are T scores and Z scores the same
+16259,16259,What is the differences similarities between Z and T distributions
+16260,16260,Why you should stop using the ROC curve
+16261,16261,What is the role of optimizer in neural network
+16262,16262,What is epoch and batch size
+16263,16263,What does Epoch mean in neural network
+16264,16264,What is sample frame example
+16265,16265,What is kernel function
+16266,16266,What is kernel and types of kernel
+16267,16267,What is kernel with example
+16268,16268,Why is it called kernel
+16269,16269,How does probit work
+16270,16270,How do you find probability density function
+16271,16271,What is probability density function in statistics
+16272,16272,What makes a function a probability density function
+16273,16273,How do you find the probability function
+16274,16274,What is the difference between supervised machine learning and unsupervised machine learning
+16275,16275,What is supervised machine learning
+16276,16276,What does sensitivity and specificity of a test mean
+16277,16277,What does it mean when a distribution is positively skewed
+16278,16278,What does positively skewed data tell you about your mean
+16279,16279,Are scores with a mean of 0 and a standard deviation of 1
+16280,16280,What is a normal distribution with a mean of 0 and a standard deviation of 1 called
+16281,16281,What is 1 standard deviation from the mean
+16282,16282,What is PAC learning in machine learning
+16283,16283,What is sample complexity in machine learning
+16284,16284,What is an example of multitasking
+16285,16285,How do you demonstrate multitasking skills
+16286,16286,How do you multitask in life
+16287,16287,What is model evaluation in machine learning
+16288,16288,What are the different approaches of machine learning
+16289,16289,How is a field experiment different from a quasi experiment
+16290,16290,What kind of distribution is the binomial distribution
+16291,16291,What kind of distribution are the binomial and Poisson distributions
+16292,16292,What are different types of distribution
+16293,16293,What are the degrees of freedom for the F statistic
+16294,16294,How do you find the degrees of freedom for an F distribution
+16295,16295,What is the degrees of freedom for at test
+16296,16296,How do you work out the scale of a histogram
+16297,16297,Do we write scale in histogram
+16298,16298,What are the differences between forecast measures of accuracy and forecast measures of bias
+16299,16299,How do you calculate forecast accuracy and bias
+16300,16300,What is bias in forecast accuracy
+16301,16301,What does forecast bias mean
+16302,16302,How do you represent uniform distribution
+16303,16303,What is the application of normal distribution
+16304,16304,How do you accept or reject the null hypothesis
+16305,16305,What is the null hypothesis for a t test
+16306,16306,What does reject the null hypothesis mean
+16307,16307,Whats the difference between binomial and geometric
+16308,16308,What's the difference between binomial and normal distribution
+16309,16309,What percentage constitutes a representative sample
+16310,16310,Why should we be concerned about the time complexity of an algorithm
+16311,16311,What does the term bias refers in machine learning algorithms
+16312,16312,How do you convert a non normal distribution to a standard normal distribution
+16313,16313,How do you convert a normal distribution to a standard normal distribution
+16314,16314,What is the difference between standard normal distribution and nonstandard normal distribution
+16315,16315,What creates a normal distribution
+16316,16316,What is cross validation in neural networks
+16317,16317,What is the disadvantage of using non standard units of measurement
+16318,16318,What are non standard units
+16319,16319,Why is classification important in data mining
+16320,16320,What does the Bayesian network provides
+16321,16321,What is Bayesian network analysis
+16322,16322,What are the features of NLP in AI
+16323,16323,What are the input and output of NLP system
+16324,16324,What is joint probability formula
+16325,16325,What is the joint probability of two independent events
+16326,16326,Is decision tree supervised or unsupervised
+16327,16327,What is the difference between union and intersection
+16328,16328,What does ∩ mean in statistics
+16329,16329,Is school culture a hidden curriculum
+16330,16330,How does the hidden curriculum affect students
+16331,16331,What are the disadvantages of hidden curriculum
+16332,16332,What is hidden or implicit curriculum
+16333,16333,What is CNN algorithm
+16334,16334,Why CNN algorithm is used
+16335,16335,How does increasing the sample size affect the sampling error
+16336,16336,What happens to T when sample size increases
+16337,16337,Why do we use structural equation modeling
+16338,16338,What is the coefficient in logistic regression
+16339,16339,What does a negative beta coefficient mean in regression analysis
+16340,16340,Which algorithm is best for text classification
+16341,16341,How do I compress a TensorFlow model
+16342,16342,How do I optimize a TensorFlow model
+16343,16343,What is quantized model
+16344,16344,What is quantization TensorFlow
+16345,16345,What is a covariate
+16346,16346,What are false positives and false negatives
+16347,16347,What does sensitivity and specificity tell you
+16348,16348,What is mean by blended learning
+16349,16349,What is an example of blended learning
+16350,16350,How do you calculate the population variance
+16351,16351,What is the difference between the normal distribution and the t distribution
+16352,16352,What is the difference between a model parameter and a learning algorithm's Hyperparameter
+16353,16353,What is meant by hyper parameters
+16354,16354,How do you become a deep learning model
+16355,16355,How is beta diversity calculated
+16356,16356,How is alpha diversity measured
+16357,16357,What is the difference between Type 1 and Type 2 errors
+16358,16358,Which is better Knn or decision tree
+16359,16359,How do you know if something is independent or dependent probability
+16360,16360,How do you test for independence
+16361,16361,Can you use divergence test on alternating series
+16362,16362,When can the alternating series test be used
+16363,16363,What is histogram stretching in image processing
+16364,16364,How do you identify a stock chart pattern
+16365,16365,What type of model is a decision tree
+16366,16366,Are decision trees linear models
+16367,16367,How do you normalize data in a Neural Network
+16368,16368,Is normalization necessary for neural networks
+16369,16369,What is Time series analysis in data science
+16370,16370,How does machine learning deal with time series data
+16371,16371,Why do we use learning rate
+16372,16372,What is Softmax function in deep learning
+16373,16373,What is Softmax in TensorFlow
+16374,16374,What are some examples of AI in use
+16375,16375,What is considered skewed data
+16376,16376,What are the types of skewed data
+16377,16377,What is right skewed data
+16378,16378,What is multinomial regression and a choice model
+16379,16379,What is the purpose of message queue
+16380,16380,What are the types of time series analysis
+16381,16381,What is time series regression analysis
+16382,16382,How does AI help sustainable development
+16383,16383,How AI can enable a sustainable future
+16384,16384,What does interquartile mean
+16385,16385,What is the difference between J curve and S curve
+16386,16386,What is J shaped curve
+16387,16387,Why would you use a linear model
+16388,16388,Why do adversarial examples exist
+16389,16389,Which of these are examples of adversarial attacks on an AI system
+16390,16390,How does adversarial attack work
+16391,16391,What is adversarial AI
+16392,16392,How do you find probability with frequency
+16393,16393,What is the define of frequency
+16394,16394,How do you pronounce LDA
+16395,16395,What is the use of data structure in real life
+16396,16396,Which data structure is used when
+16397,16397,Why is it good to use data structures in the main
+16398,16398,What is probability and statistics in math
+16399,16399,What grade level is statistics and probability
+16400,16400,How do you know when to use geometric or binomial
+16401,16401,How do you find the mode of a geometric distribution
+16402,16402,What is a geometric random sample
+16403,16403,What do we mean by multimodal
+16404,16404,What does multimodal mean in writing
+16405,16405,What are the types of multimodal text
+16406,16406,What are data preprocessing techniques
+16407,16407,What is the difference between correlation and relation
+16408,16408,How do you do multiple logistic regression in Excel
+16409,16409,How do you calculate multiple logistic regression in SPSS
+16410,16410,What is N grams in NLP
+16411,16411,Why do we calculate relative frequency
+16412,16412,What is meant by exogenous variable
+16413,16413,What is the formula of Graham's law of diffusion
+16414,16414,What does NMF stand for
+16415,16415,What is model calibration in machine learning
+16416,16416,How is predictive analytics different
+16417,16417,What is the range of linear activation function
+16418,16418,What is EZ Flash GBA
+16419,16419,How do I use EZ Update
+16420,16420,What are features in neural network
+16421,16421,What does reactive work mean
+16422,16422,What is DFS and BFS algorithm
+16423,16423,What is DFS in algorithm
+16424,16424,What is BFS algorithm example
+16425,16425,How are two sided and confidence intervals hypothesis related
+16426,16426,When should a hypothesis test be used over a confidence interval
+16427,16427,Do confidence intervals give more information than hypothesis tests
+16428,16428,What happens to the shape of the sampling distribution as sample size increases
+16429,16429,What does the shape of the T distribution depend on
+16430,16430,How does the shape of the T distribution compare to the normal distribution
+16431,16431,What is multinomial data
+16432,16432,What algorithm does spacy use
+16433,16433,How does spacy ner model work
+16434,16434,What is batch reinforcement learning
+16435,16435,How does GAN network work
+16436,16436,How do you calculate stratified random sampling
+16437,16437,How do you stratify a population
+16438,16438,What is proportionate stratified random sampling
+16439,16439,Which clustering algorithm is more suitable for non convex data
+16440,16440,What are the steps of association rule mining
+16441,16441,What is Q learning used for
+16442,16442,What is T score used for
+16443,16443,What is an advantage of T scores over z scores
+16444,16444,What does activation function do in CNN
+16445,16445,How does a principal component analysis work
+16446,16446,What is the normal probability distribution
+16447,16447,What is cosine similarity in information retrieval
+16448,16448,How is kappa value calculated
+16449,16449,What is defined by membership function
+16450,16450,What is fuzzy membership
+16451,16451,What is Gaussian membership function in fuzzy logic
+16452,16452,What is meant by density function
+16453,16453,How do you control a variable in regression
+16454,16454,How do you adjust variables in SPSS
+16455,16455,What is the area under the curve between Z
+16456,16456,What is the area under the normal curve to the right of Z
+16457,16457,How do you find the area under a normal distribution curve
+16458,16458,How do you find the area between two z values
+16459,16459,What are convolutions in CNN
+16460,16460,How do you find the marginal distribution of a joint distribution
+16461,16461,What is joint and marginal distribution
+16462,16462,What is the sample mean
+16463,16463,What is the probability that the mean of a random sample
+16464,16464,Should the dependent variable be normally distributed
+16465,16465,What is disproportionate stratified sampling
+16466,16466,What is the advantage of stratified sampling
+16467,16467,How is CNN implemented
+16468,16468,How do you increase image classification accuracy on CNN
+16469,16469,Where can I practice data structures and algorithms
+16470,16470,What is precision in logistic regression
+16471,16471,What is precision and recall curve
+16472,16472,What is the difference between a null hypothesis and a research hypothesis
+16473,16473,Why is acquisition more important than learning
+16474,16474,How many respondents do you need to be statistically significant
+16475,16475,How many observations are needed for statistical significance
+16476,16476,How do you differentiate fxy
+16477,16477,What is the partial derivative of XY
+16478,16478,How is the rejection region defined and how is that related to the P value
+16479,16479,What is the relationship between T statistic and p value
+16480,16480,What is the difference between SE and SD
+16481,16481,Do you use standard deviation or standard error for error bars
+16482,16482,When would I use a standard error instead of a standard deviation
+16483,16483,Are X and Y independent explain
+16484,16484,Where is a sampling distribution centered
+16485,16485,What is bootstrap distribution
+16486,16486,How are bootstrap distributions and randomization distributions different
+16487,16487,What is a uniform random number
+16488,16488,What does NP random permutation do
+16489,16489,What is NP random
+16490,16490,What are eigenvalues of a matrix
+16491,16491,How do you find eigenvectors and eigenvalues of a matrix
+16492,16492,What is the importance of probability
+16493,16493,What is the significance of the mean of probability distribution
+16494,16494,Which statement is an example of a null hypothesis
+16495,16495,What does the null hypothesis mean
+16496,16496,How do you perform a conjoint analysis
+16497,16497,What if training accuracy is low and testing accuracy is high
+16498,16498,What is training error and testing error
+16499,16499,What do you mean by feature vector
+16500,16500,What does vectorization mean
+16501,16501,What are the four primary assumptions of multiple linear regression
+16502,16502,Where neural networks are used
+16503,16503,What are neural networks in the brain
+16504,16504,What is classification in data mining
+16505,16505,How does Kmeans algorithm work
+16506,16506,What K means
+16507,16507,How do you find the median of a histogram
+16508,16508,How do you find the mean median and mode on a histogram
+16509,16509,What is mean and median in histogram
+16510,16510,What is the purpose of inferential statistics quizlet
+16511,16511,What is the meaning of inferential statistics
+16512,16512,How many different outcomes are possible after rolling all six dice
+16513,16513,What is the probability to get a 6 when you roll a die
+16514,16514,What does high variance mean
+16515,16515,Is data science and data mining same
+16516,16516,Are all neural networks deep learning
+16517,16517,Are normal distributions continuous or discrete
+16518,16518,What are the algorithm used for sentiment analysis
+16519,16519,What methods can be used for sentiment analysis
+16520,16520,Can we use SVM to classify non linearly separable data
+16521,16521,What are the function of an agent
+16522,16522,Why is fuzzy set
+16523,16523,What is fuzzy method
+16524,16524,What does L2 norm mean
+16525,16525,What is the L2 norm of a vector
+16526,16526,Why is L2 better than L1
+16527,16527,What is the difference between L1 L2 regularization
+16528,16528,What are feature values
+16529,16529,What does gamma value mean
+16530,16530,What is gamma correlation
+16531,16531,What does a negative gamma mean statistics
+16532,16532,What is the difference between Skip gram and continuous bag of words CBOW in the word2vec model
+16533,16533,What is bag of words model in NLP
+16534,16534,What is K in logistic equation
+16535,16535,Who defeated AlphaGo
+16536,16536,Did Lee sedol beat AlphaGo
+16537,16537,When did AlphaGo beat human
+16538,16538,What is the meaning of systematic sampling
+16539,16539,What is the difference between random sampling and purposive sampling
+16540,16540,Why do we use mean square error
+16541,16541,What is a machine learning Pipeline
+16542,16542,Why are activation functions used
+16543,16543,Is Anova a linear mixed model
+16544,16544,What is a mixed effects Anova
+16545,16545,How do you find the proportion in statistics
+16546,16546,How do you compare proportions statistically
+16547,16547,Can you use at test for proportions
+16548,16548,How do you do a one sample proportion test
+16549,16549,What is the opposite of descriptive statistics
+16550,16550,What are the primary advantages of using descriptive statistics
+16551,16551,What are the different types of classifiers in ASL
+16552,16552,What are the different classification techniques
+16553,16553,What does a box plot tell us
+16554,16554,How do you examine a box plot
+16555,16555,How do you use systematic sampling
+16556,16556,When should sampling be used
+16557,16557,What is a frequency spectrum plot
+16558,16558,What is frequency spectrum and bandwidth
+16559,16559,Why is logistic regression only used for binary classification
+16560,16560,Why ReLU is non linear
+16561,16561,How does bias affect data
+16562,16562,How does bias affect data collection
+16563,16563,What is structural equation modeling
+16564,16564,What is entropy in one word
+16565,16565,What is entropy and enthalpy
+16566,16566,Why are ensemble methods superior to individual models Mcq
+16567,16567,How do you tell if a difference is statistically significant
+16568,16568,How do you determine if a study is statistically significant
+16569,16569,What does marginal effect mean
+16570,16570,Is reinforcement learning part of machine learning
+16571,16571,What percentage of scores fall within 1 standard deviation SD of the mean
+16572,16572,How do you find the percentage of a score within the standard deviation
+16573,16573,What percentile is 1 standard deviation above the mean
+16574,16574,What can cause a false positive
+16575,16575,What are the limitations of time series analysis
+16576,16576,What are the applications of time series analysis in real field
+16577,16577,Can you do structural equation modeling in SPSS
+16578,16578,Why is an estimator unbiased
+16579,16579,How do you find the eigenvector of a covariance matrix
+16580,16580,Why do we use eigenvectors in covariance matrix
+16581,16581,Is dimensional analysis the same as stoichiometry
+16582,16582,How do you test conceptual understanding
+16583,16583,How do you understand a topic
+16584,16584,What does Π mean in statistics
+16585,16585,What is the big pi symbol
+16586,16586,What are different types of activation function
+16587,16587,What are the types of neural network architecture
+16588,16588,What is neural network explain in detail
+16589,16589,What is the assumption of error in linear regression
+16590,16590,What is a training dataset
+16591,16591,What is the range in statistic
+16592,16592,What is true error in machine learning
+16593,16593,What is classification error rate
+16594,16594,What is Bayes theorem in machine learning
+16595,16595,What is Bayes theorem how is it useful in a machine learning context
+16596,16596,How do you remember the confusion matrix
+16597,16597,What does gradient of a vector field mean
+16598,16598,How do you find the gradient of a vector
+16599,16599,Can vectors have gradients
+16600,16600,What are the applications of learning curve
+16601,16601,What does 80 learning curve mean
+16602,16602,What is denying the antecedent in philosophy
+16603,16603,Which of the following tests is used to analyze nominal data
+16604,16604,Is Chi Square used for nominal data
+16605,16605,How does machine learning deal with imbalanced classes
+16606,16606,What is difference between variance and standard deviation
+16607,16607,Should I use variance or standard deviation
+16608,16608,How do you calculate exponential smoothing
+16609,16609,What is the exponential smoothing method
+16610,16610,How do you find the alpha exponential smoothing
+16611,16611,What exponential smoothing tells us
+16612,16612,What is ground truth in image processing
+16613,16613,What is ground truth in machine learning
+16614,16614,How difficult is deep learning
+16615,16615,What kind of classifier is K nearest neighbor
+16616,16616,What is a utility based agent and how is it different from goal based agents
+16617,16617,What is goal based agent in artificial intelligence
+16618,16618,What is segmentation in statistics
+16619,16619,Where the hidden Markov model is used
+16620,16620,What is sampling and why is it important
+16621,16621,What is alpha stage of mind
+16622,16622,How do I get to the alpha state of mind
+16623,16623,What does alpha state mean
+16624,16624,What happens to the critical value for a chi square test if the size of the sample is increased
+16625,16625,Is standard deviation a measure of central tendency
+16626,16626,What is the difference between measure of central tendency and measure of dispersion
+16627,16627,What measure of central tendency do you use with standard deviation
+16628,16628,What is the difference between the various measures of central tendency
+16629,16629,What can cause a false positive result
+16630,16630,How do you calculate the mean square
+16631,16631,How is MSE accuracy calculated
+16632,16632,What is temporal model
+16633,16633,What is the relation between probability and normal distribution
+16634,16634,What is the probability of normal distribution
+16635,16635,How do you find the mean of a normal probability distribution
+16636,16636,How weka is used in machine learning
+16637,16637,Does regression require normally distributed data
+16638,16638,Is linear regression normal distribution
+16639,16639,What are the disadvantages of probability sampling
+16640,16640,What are the advantages of non random sampling
+16641,16641,What is the difference between a relative frequency table and a frequency table
+16642,16642,What is a no correlation graph
+16643,16643,What does it mean if a scatter plot has no association
+16644,16644,What does a nonlinear scatter plot look like
+16645,16645,How do you describe a scatter plot
+16646,16646,How does learning rate affect the gradient descent learning process
+16647,16647,Can you make a decision tree in Word
+16648,16648,Can standard deviation be used on skewed data
+16649,16649,How does skew affect mean
+16650,16650,What factors affect standard deviation
+16651,16651,How do you get model weights in keras
+16652,16652,How does a multilingual brain work
+16653,16653,How do you explain moderation
+16654,16654,What does an interaction effect mean
+16655,16655,Which technique is used in deep learning
+16656,16656,What is linear regression modeling
+16657,16657,Is SVM a statistical model
+16658,16658,How does an inference work
+16659,16659,What is Random Forest algorithm used for
+16660,16660,What's the difference between moving average and exponential smoothing
+16661,16661,Why is a decision tree better than a random forest
+16662,16662,Can decision trees be better than random forest
+16663,16663,Why is decision tree good
+16664,16664,How is the p value related to the critical value
+16665,16665,How is optimism bias avoided
+16666,16666,What is difference between subquery and correlated subquery
+16667,16667,Where is the mean located
+16668,16668,Is the mean close to the median
+16669,16669,What is intra observer
+16670,16670,Is local search greedy
+16671,16671,What is AO * algorithm in artificial intelligence
+16672,16672,What is cluster random sampling
+16673,16673,Is wage a discrete variable
+16674,16674,Is Money discrete data or continuous data
+16675,16675,What is the difference between Z and T confidence intervals
+16676,16676,What are the types of parametric test
+16677,16677,Is an Anova a parametric test
+16678,16678,Which is non parametric test
+16679,16679,How do you reduce RMSE in regression
+16680,16680,What is the difference between regression analysis and Anova
+16681,16681,How do we calculate the estimated variance
+16682,16682,What is the difference between local and global optimization
+16683,16683,What is local optimal solution
+16684,16684,How can you encourage active learning
+16685,16685,What are active learning techniques
+16686,16686,What does it mean to be normally distributed
+16687,16687,How do you calculate multiple correlation
+16688,16688,How do you calculate correlation in R
+16689,16689,What is the multiple correlation coefficient
+16690,16690,What is clustering in data analytics
+16691,16691,What is a cluster variable
+16692,16692,What does the P value associated with a chi square value indicate about the results of a cross
+16693,16693,What does P value indicate in regression
+16694,16694,How do you calculate binomial probability
+16695,16695,How do you use Anova formula
+16696,16696,How do you calculate rejection region
+16697,16697,How do you find the critical region of a two tailed test
+16698,16698,Why do we calculate harmonic mean
+16699,16699,What does F score mean
+16700,16700,What is the product rule of probability
+16701,16701,Is ridge regression sensitive to outliers
+16702,16702,How do you explain logarithmic scales
+16703,16703,What is the difference between a linear and logarithmic scale
+16704,16704,What does a logarithmic look like
+16705,16705,What is a systematic sampling method
+16706,16706,What are the limits of descriptive statistics
+16707,16707,What are descriptive statistics used for
+16708,16708,How do you summarize descriptive statistics
+16709,16709,What is action communication model
+16710,16710,How many machine learning algorithms are there
+16711,16711,What is a confusion matrix and how does it look like
+16712,16712,How do you reduce bias in decision making
+16713,16713,Which are the three steps to get around confirmation bias
+16714,16714,How do you find the standard deviation of the difference between two sets of data
+16715,16715,What is the formula for the standard deviation of the sample means
+16716,16716,What is the advantage of using regression analysis
+16717,16717,What kind of technology is artificial intelligence
+16718,16718,Is AI a recent technology
+16719,16719,What is the difference between artificial intelligence and technology
+16720,16720,How can you tell if two samples are the same population
+16721,16721,What is the null hypothesis for a 2 sample t test
+16722,16722,What is a two sample z test
+16723,16723,Which algorithm is best for face detection
+16724,16724,What are the characteristics of PI controller
+16725,16725,What is the difference between PI and PID controller
+16726,16726,How is PI controller implemented
+16727,16727,What will happen when you fit degree 2 polynomial in linear regression
+16728,16728,How do you implement a time series forecasting model
+16729,16729,How do you describe a categorical variable
+16730,16730,How can you tell if data is categorical
+16731,16731,How do you calculate ROC curve
+16732,16732,What does an ROC curve tell you
+16733,16733,How do you find the best threshold on a ROC curve
+16734,16734,What is a good AUC ROC score
+16735,16735,What defines a Markov chain
+16736,16736,What is difference between R and r2
+16737,16737,What does coefficient of determination mean
+16738,16738,Is coefficient of determination the same as R 2
+16739,16739,What Makes a probability dependent
+16740,16740,How do you know if probability is independent
+16741,16741,When the random variable X and Y are independent It's covariance is
+16742,16742,What is the covariance of a random variable X with itself
+16743,16743,Why is covariance 0 for independent
+16744,16744,What is average uncertainty
+16745,16745,What happens to uncertainty when you multiply
+16746,16746,How does uncertainty affect the results of an experiment
+16747,16747,What determines the uncertainty of a measurement
+16748,16748,What is Mamdani fuzzy model
+16749,16749,What is the fuzzy inference system
+16750,16750,Why we use Mamdani model in fuzzy system explain the reason
+16751,16751,How does a neuro fuzzy inference system work
+16752,16752,How is the Apriori property used in the algorithm
+16753,16753,How the association rules are mined from databases
+16754,16754,Where are neurons
+16755,16755,What is TP FP
+16756,16756,How is FP rate calculated
+16757,16757,Which algorithm gives best performance
+16758,16758,Which sorting algorithms have same best and worst case
+16759,16759,What does ROC stand for
+16760,16760,How do I calculate ROC
+16761,16761,How do you explain accuracy and precision
+16762,16762,What is data precision
+16763,16763,What does a linear regression model tell you
+16764,16764,What is continuous time Fourier transform
+16765,16765,What functions can be represented by a Fourier series
+16766,16766,How do you read a Tensorboard histogram
+16767,16767,How do you use a keras Tensorboard
+16768,16768,What is the criterion variable in regression
+16769,16769,What does Coefficient of Variation tell you
+16770,16770,Why are disjoint events not independent
+16771,16771,When two events are disjoint they are also independent True or false
+16772,16772,What are the important characteristics of a control strategy in artificial intelligence
+16773,16773,What are the requirements of a good control strategy in AI
+16774,16774,How do generative models work
+16775,16775,How do you validate a classification model
+16776,16776,What do factor loadings mean
+16777,16777,What is semi structured and unstructured data
+16778,16778,What is the formula of median even
+16779,16779,What is homogeneous or heterogeneous data sources
+16780,16780,Are correlated variables independent
+16781,16781,What is the difference between correlation and dependence
+16782,16782,What is handwriting recognition used for
+16783,16783,What are consequences of using OLS in the presence of heteroscedasticity
+16784,16784,What is multinomial variable
+16785,16785,What is a target variable in machine learning
+16786,16786,Do we scale the target variable
+16787,16787,How many types of target values are used
+16788,16788,What are forecasting models
+16789,16789,What are forecasting models and why these models are used
+16790,16790,What type of data is useful for forecasting
+16791,16791,What is the formula for discrete random variable
+16792,16792,How do you determine if a random variable is discrete or continuous
+16793,16793,When X and Y are statistically independent then x Y is
+16794,16794,Why is logistic regression called regression
+16795,16795,Is logistic regression unsupervised
+16796,16796,What does the linear regression line tell you
+16797,16797,What is residual in simple linear regression
+16798,16798,How do you get rid of bias in an experiment
+16799,16799,What is the difference between logistic regression and random forest
+16800,16800,Can validation loss be less than training loss
+16801,16801,How do you work out relative frequency in maths
+16802,16802,What are the basic laws of probability
+16803,16803,What are the three definitions of probability
+16804,16804,What are neurons in AI
+16805,16805,What is neurons in machine learning
+16806,16806,What is a neuron in a convolutional neural network
+16807,16807,Why was Ai created
+16808,16808,What does training a dataset mean
+16809,16809,How do you train a data set
+16810,16810,What is NLP sentiment analysis
+16811,16811,What is a class interval in a frequency table
+16812,16812,How do you find the class interval on a histogram
+16813,16813,What is the need of dimensionality reduction
+16814,16814,Why is data reduction necessary
+16815,16815,How do you find the singular value decomposition of a matrix
+16816,16816,Why LDA is used
+16817,16817,How long does it take to learn big data
+16818,16818,Is 0.5 A good correlation coefficient
+16819,16819,Which lexicon is used in sentiment analysis
+16820,16820,How do you solve algorithm questions
+16821,16821,What is coefficient value in regression
+16822,16822,What is minimum variance
+16823,16823,How do you find the uniformly minimum variance of an unbiased estimator
+16824,16824,Is a minimum variance unbiased point estimate of the mean of a normally distributed population
+16825,16825,Is Chi square a correlation test
+16826,16826,What is the value of kurtosis of a normal distribution
+16827,16827,What is kurtosis of a distribution
+16828,16828,How do you find the kurtosis of a normal distribution
+16829,16829,What is latent semantic indexing keywords
+16830,16830,What is an LSI keyword
+16831,16831,How do you find the left and right of a chi square test
+16832,16832,What is the mean of chi square distribution
+16833,16833,What is the meaning of asymptotic
+16834,16834,What does asymptotic mean in statistics
+16835,16835,Why is it called asymptotic analysis
+16836,16836,Why do we need a statistical model
+16837,16837,How do you know what statistical model to use
+16838,16838,What is the purpose of using statistical analysis
+16839,16839,What does standard error mean tell us
+16840,16840,What does standard error of the mean indicate about your data
+16841,16841,Is SVM used for regression
+16842,16842,When should logistic regression be used
+16843,16843,What is logistic regression analysis used for
+16844,16844,What is relative frequency used for
+16845,16845,When might it be beneficial to use relative rather than absolute frequencies
+16846,16846,How is quartile related to quantile
+16847,16847,What is the formula of quantile
+16848,16848,How randomized algorithms are different than deterministic algorithms
+16849,16849,Which of the following can be referred to as applications of randomized algorithm
+16850,16850,What is meant by deep learning algorithms
+16851,16851,What is evolutionary learning in machine learning
+16852,16852,What does the variance mean in statistics
+16853,16853,What is the difference between training and test sets performance
+16854,16854,What is training and testing data in machine learning
+16855,16855,What is distance based clustering
+16856,16856,How do you construct a distance matrix
+16857,16857,How do you visualize multivariate data
+16858,16858,What is multivariate data visualization
+16859,16859,Which plot helps in multivariate analysis
+16860,16860,What is a multivariate plot
+16861,16861,What is the role of momentum in finding the global minima
+16862,16862,What is geometric mean in statistics
+16863,16863,What is a harmonic mean in statistics
+16864,16864,What is confounder in a statistical study
+16865,16865,What is a confounding variable in statistics
+16866,16866,What is definition of likelihood
+16867,16867,How do you use likelihood
+16868,16868,What is likelihood in risk management
+16869,16869,What is tensor quantity with example
+16870,16870,What is the difference between artificial intelligence and neural networks
+16871,16871,What do regression coefficients tell us
+16872,16872,What is binomial give example
+16873,16873,What is a binomial expression
+16874,16874,Is 2x a binomial
+16875,16875,What is the meaning of discrete distribution
+16876,16876,How do you find eigenvalues in factor analysis
+16877,16877,What does collaborative filtering mean
+16878,16878,What is a good sample size for a study
+16879,16879,How do I make sure a sample is representative
+16880,16880,Why is it important to choose a representative sample of the population
+16881,16881,What is backwards regression
+16882,16882,What is the difference between the two types of hypothesis
+16883,16883,What does non response mean
+16884,16884,How can ML models improve performance
+16885,16885,What techniques are used for data mining
+16886,16886,What are data mining technologies
+16887,16887,What is data mining and types of data mining
+16888,16888,What is y bar in statistics
+16889,16889,What is Y in regression
+16890,16890,What is artificial intelligence in computer
+16891,16891,What is AI with example
+16892,16892,What is the purpose of AI
+16893,16893,What does Lambda mean in probability
+16894,16894,What is an output layer
+16895,16895,How does random forest handle Overfitting
+16896,16896,What is stratified non random sampling
+16897,16897,What do you mean by stratified sampling
+16898,16898,What is Nonprobability sampling method
+16899,16899,What is residual in machine learning
+16900,16900,What is meant by hashing
+16901,16901,What is hashing and its uses
+16902,16902,What is hashing explain different types of hashing
+16903,16903,How can I improve my Knn performance
+16904,16904,What is the K value in Knn
+16905,16905,What value of k in KNN method will give the best accuracy for leave one out cross validation
+16906,16906,What happens to a K NN model as you increase the value of K
+16907,16907,What is logically equivalent to P and Q
+16908,16908,When can unlabeled data improve the learning rate
+16909,16909,What is agent and its types in artificial intelligence
+16910,16910,What is population and sample in statistics
+16911,16911,What does population mean in data
+16912,16912,What is the difference between sampling error and non sampling error
+16913,16913,What are sampling and non sampling errors Class 11
+16914,16914,What are sampling and non sampling errors which error is more serious and why
+16915,16915,How do you find the alpha and confidence level
+16916,16916,What is the alpha value in statistics
+16917,16917,How do you find alpha and beta in statistics
+16918,16918,What is data structure discuss the different types of data structure
+16919,16919,How do you prove a series is divergent
+16920,16920,What does it mean if a series diverges
+16921,16921,What is parametric survival model
+16922,16922,What does semi parametric mean
+16923,16923,How do you do sampling rejection
+16924,16924,Why Clustering is unsupervised learning
+16925,16925,Should data be scaled before clustering
+16926,16926,How do you find the variance of continuous data
+16927,16927,How do you find the variance of a continuous random variable
+16928,16928,How do you find the mean of a continuous probability distribution
+16929,16929,What can you do with reinforcement learning
+16930,16930,How do you find moving averages
+16931,16931,What generalization means
+16932,16932,What does image classification do
+16933,16933,How does image classification increase accuracy
+16934,16934,What is the role of neural networks in predictive analytics
+16935,16935,What kind of real world problems can neural networks solve
+16936,16936,How do I get started with artificial intelligence
+16937,16937,Where can I learn AI
+16938,16938,How deep should a neural network be
+16939,16939,Is Quantum AI legit
+16940,16940,What is hog in machine learning
+16941,16941,What is the main difference between analysis or analytics and machine learning & AI
+16942,16942,What is the difference between data analytics vs data mining
+16943,16943,What is the difference between data analytics vs data mining please provide an example of how each is used
+16944,16944,What is filter based feature selection
+16945,16945,What is bagging ML
+16946,16946,What is a bagging technique
+16947,16947,What is bagging and boosting in ML
+16948,16948,How do you calculate regression coefficients
+16949,16949,What is regression equation with example
+16950,16950,Is r2 The regression coefficient
+16951,16951,How many types of statistical inferences are there
+16952,16952,What are the 2 major areas of statistics
+16953,16953,Why is standard deviation used instead of mean deviation
+16954,16954,Why is standard deviation better than the mean
+16955,16955,Why do we use standard deviation
+16956,16956,Why do you need Confusion Matrix
+16957,16957,What is confusion matrix and why it is used
+16958,16958,What role does confirmation bias play in stereotyping quizlet
+16959,16959,What is confirmation bias and why is it important
+16960,16960,What is a bin value
+16961,16961,What is supervised and unsupervised learning explain with example
+16962,16962,What do you mean by pseudo random number generation
+16963,16963,What Can expert systems do
+16964,16964,What does loss mean in Tensorflow
+16965,16965,How do you find the median of a 6 set of data
+16966,16966,What is the formula to find the median
+16967,16967,How do I pass data between two view controllers
+16968,16968,How do I transfer data from one view controller to another
+16969,16969,How do you pass data from one view controller to another in Objective C
+16970,16970,What are the two functions used in neural network's activation functions
+16971,16971,How do you interpret Kappa coefficient
+16972,16972,How KNN is different from K means clustering
+16973,16973,What is concatenation in neural network
+16974,16974,How do you find the probability of a discrete random variable
+16975,16975,What is the formula for the variance of a discrete random variable
+16976,16976,What is the interpretation of the mean of a discrete random variable
+16977,16977,Is Poisson distribution parametric
+16978,16978,What constitutes disparate treatment
+16979,16979,What is linear activation function
+16980,16980,What is scaling in clustering
+16981,16981,What does it mean if X and Y have a positive correlation
+16982,16982,What does a positive linear relationship mean
+16983,16983,What is a linear relationship between X and Y
+16984,16984,What is a baseline in machine learning
+16985,16985,What is the geometric mean used for
+16986,16986,Which chi square distribution looks the most like a normal distribution Mcq
+16987,16987,How many degrees of freedom will make a chi square distribution look like normal distribution
+16988,16988,How do you find the moment of a distribution
+16989,16989,What is the meaning of moment in statistics
+16990,16990,What is batch processing in data processing
+16991,16991,What are the types of artificial neural networks
+16992,16992,What are the applications of artificial neural network
+16993,16993,How AI can be used in neural network
+16994,16994,How do you calculate bounding box
+16995,16995,What is the PDF of exponential distribution
+16996,16996,What is the pdf of a normal distribution
+16997,16997,What are the most popular algorithms of machine learning
+16998,16998,When can a variable be controlled
+16999,16999,How do you find the uncorrelated stock
+17000,17000,What is correlation risk
+17001,17001,What are Embeddings in deep learning
+17002,17002,How does a factorial work
+17003,17003,What is meant by learning curve
+17004,17004,Why is it important to randomly assign participants
+17005,17005,How do you randomize participants in a study
+17006,17006,What is randomization in a study
+17007,17007,Why is it important to use random assignment when determining which research participants will comprise
+17008,17008,What is Poisson distribution
+17009,17009,What is the importance of Poisson distribution
+17010,17010,How is cosine similarity calculated
+17011,17011,Is Kelvin an interval scale
+17012,17012,Is year a ratio or interval
+17013,17013,How do you evaluate LDA model
+17014,17014,What is learning rate in GBM
+17015,17015,What is the distribution of a discrete random variable
+17016,17016,Are normal distributions discrete or continuous
+17017,17017,What variables are normally distributed
+17018,17018,Why are random variables normally distributed
+17019,17019,What does the sampling distribution of sample mean approaches normal distribution
+17020,17020,What is normal PDF and CDF
+17021,17021,What is PDF in statistics
+17022,17022,What is the PDF of a uniform distribution
+17023,17023,How does selection bias affect validity
+17024,17024,What is the purpose of ridge regression
+17025,17025,What is the purpose of an independent variable in regression analysis
+17026,17026,What is considered an independent variable
+17027,17027,How do you find the dependent variable in regression
+17028,17028,Why do we calculate confidence intervals
+17029,17029,What machine learning can and can't do
+17030,17030,What can deep learning do that traditional machine learning methods Cannot
+17031,17031,Why is logistic regression slower than naive Bayes
+17032,17032,What is normal range in statistics
+17033,17033,What does in range mean
+17034,17034,What is the difference between accuracy precision and error
+17035,17035,Why is it important to know the difference between accuracy and precision
+17036,17036,What is Arch model in time series
+17037,17037,What is meant by Eigenfunction
+17038,17038,How do you find the eigenvalue of an operator
+17039,17039,What is an estimated regression line
+17040,17040,Why is the median more appropriate than the mean
+17041,17041,Is the median robust
+17042,17042,Why is the median more resistant to outliers
+17043,17043,Why is it important to learn about accuracy
+17044,17044,Why does accuracy matter
+17045,17045,What is homogeneity of variance Why is it important
+17046,17046,What is normality and homogeneity of variance
+17047,17047,How do you find the Q statistic
+17048,17048,Why is Tukey's HSD calculated
+17049,17049,What do eigenvalues mean in PCA
+17050,17050,What is eigenvalue analysis
+17051,17051,What is the purpose of eigenvalues
+17052,17052,How does the Poisson distribution work
+17053,17053,How are the mean and standard deviation related
+17054,17054,Is standard deviation calculated using the mean
+17055,17055,What does the weighted average mean
+17056,17056,How do you find the weighted mean of grouped data
+17057,17057,What is the correlation between principal components
+17058,17058,Can artificial intelligence be biased
+17059,17059,How can machine learning prevent bias
+17060,17060,How do you tell if there is an association between two categorical variables
+17061,17061,What are the 2 types of categorical variables
+17062,17062,What is back up and its benefit
+17063,17063,What is meant by random processes
+17064,17064,How does a decision tree Overfit
+17065,17065,Which are the parameters to control overfitting in decision trees
+17066,17066,Which R command creates a 2 by 2 matrix
+17067,17067,Can two matrices be multiplied
+17068,17068,How do you write a matrix in R
+17069,17069,How do you multiply matrices using matrices
+17070,17070,What is the product of two matrices
+17071,17071,How do you multiply a matrix by a vector
+17072,17072,What factors affect confidence interval
+17073,17073,What specifically does the confidence level of a confidence interval represent
+17074,17074,Why would someone use a confidence interval
+17075,17075,What is the confidence level in a confidence interval
+17076,17076,What is the relationship between confidence intervals and hypothesis testing
+17077,17077,What is the difference between a priori knowledge and a posteriori knowledge
+17078,17078,What does the standard error tell you
+17079,17079,What does the standard error of estimate see measure
+17080,17080,What does Standard Error say about data
+17081,17081,How do I read a correspondence map
+17082,17082,How do you analyze in SPSS
+17083,17083,What are the branches of machine learning
+17084,17084,What are the basics of machine learning
+17085,17085,What binomial means
+17086,17086,What is a binomial variable in statistics
+17087,17087,How do you interpret a binomial coefficient
+17088,17088,What is coefficient in binomial theorem
+17089,17089,Why are binomial coefficients combinations
+17090,17090,What is binomial coefficient table
+17091,17091,What is the use of neural network in machine learning
+17092,17092,How do data and algorithms have human bias
+17093,17093,What is biasing in machine learning
+17094,17094,What is data bias
+17095,17095,How do you find the maximum value of a two variable function
+17096,17096,How do you find the maxima and minima of a two variable function
+17097,17097,How do you calculate global maximum and minimum multivariable
+17098,17098,How many variables are in a function
+17099,17099,What is a multivariate function
+17100,17100,What are the functions of variables
+17101,17101,How do you solve a multivariable function
+17102,17102,How do you find the domain of a function with two variables
+17103,17103,What is the difference between PRF and SRF
+17104,17104,What is the population regression function
+17105,17105,Is time series supervised learning
+17106,17106,What type of data is time series
+17107,17107,Is Arima deep learning
+17108,17108,Is time series regression a forecasting method
+17109,17109,Why is time series an effective tool of forecasting
+17110,17110,What are the parameters of negative binomial
+17111,17111,What does a two way Anova tell us
+17112,17112,What do confidence intervals show
+17113,17113,What is a confidence interval and how do you interpret it
+17114,17114,What does a machine learning algorithm do
+17115,17115,How are algorithms used in machine learning
+17116,17116,How do you read machine learning algorithms
+17117,17117,How is Heteroscedasticity determined in regression model
+17118,17118,What is the importance of coefficient of variation
+17119,17119,What is a good coefficient of variance
+17120,17120,What is the primary advantage of the coefficient of variation
+17121,17121,How do I calculate the coefficient of variation
+17122,17122,How do you calculate COV
+17123,17123,What is a complex sample
+17124,17124,What is meant by systematic random sampling
+17125,17125,Why do we use systematic sampling
+17126,17126,What is the formula for probability of an event
+17127,17127,What is the formula for probability of A or B
+17128,17128,Can at test be two tailed
+17129,17129,What is the P value in a two tailed test
+17130,17130,What is a two sided two sample t test
+17131,17131,How do you calculate a two tailed hypothesis
+17132,17132,What is two tailed hypothesis test
+17133,17133,How do you determine if a hypothesis test is one tailed or two tailed
+17134,17134,Why don't we regularize the bias term
+17135,17135,What is Bayesian belief network in data mining
+17136,17136,What is difference between naïve Bayesian and Bayesian belief networks
+17137,17137,Is naive Bayes a Bayesian network
+17138,17138,What is one major differentiating factor between naive Bayes and Bayes algorithms
+17139,17139,What is L2 regularization in neural networks
+17140,17140,Why do we employ L2 regularization of weights in a network
+17141,17141,What does regularization do to the weights
+17142,17142,What does high AIC mean
+17143,17143,Is a negative AIC better
+17144,17144,How is P value difference between one tailed and two tailed tests
+17145,17145,What is the difference between one tailed and two tailed
+17146,17146,What is a 2 tailed P value
+17147,17147,Is standard deviation from mean or median
+17148,17148,Is standard deviation based on the mean
+17149,17149,Is standard deviation equal to mean
+17150,17150,How do you find the median when given the mean and standard deviation
+17151,17151,Can you use median with standard deviation
+17152,17152,How do you calculate mean median mode and standard deviation in Excel
+17153,17153,What are the limitations of standard deviation
+17154,17154,Why is standard deviation not a good measure of risk
+17155,17155,What if standard deviation is unknown
+17156,17156,What are the conditions for using the standard deviation formula
+17157,17157,What is statistical data analysis
+17158,17158,Why do we need statistics to analyze data
+17159,17159,What are the statistical tools used in data analysis
+17160,17160,Where statistics is used in machine learning
+17161,17161,How is machine learning related to statistics
+17162,17162,Where do you use an AB test
+17163,17163,What is control in AB testing
+17164,17164,What is test and control analysis
+17165,17165,What is the use of DCT in image processing
+17166,17166,How do you find the DCT of an image
+17167,17167,What is DCT in multimedia
+17168,17168,Why FFT algorithm is efficient
+17169,17169,What is a Poisson rate
+17170,17170,Is Poisson the same as exponential
+17171,17171,How do you choose lambda in normalization
+17172,17172,How do I display normal distribution in R
+17173,17173,How do you plot a binomial distribution in R
+17174,17174,How do you plot a Weibull distribution in R
+17175,17175,How do you plot a normal probability plot in R
+17176,17176,What does lognormal distribution model
+17177,17177,What is the median of a lognormal distribution
+17178,17178,How do you generate random numbers with lognormal distribution in Matlab
+17179,17179,How do you create a normal distribution in Matlab
+17180,17180,How do you find the probability of a lognormal distribution
+17181,17181,How many layers has a RBM restricted Boltzmann machine )
+17182,17182,What is variance of XY
+17183,17183,What is the meaning of covariance
+17184,17184,How do you calculate covariance in Excel
+17185,17185,How do you find the variance of Y
+17186,17186,What is variance of X2
+17187,17187,What is the variance of Z
+17188,17188,What does CDF mean in statistics
+17189,17189,Are joint distributions independent
+17190,17190,Are two variables independent
+17191,17191,What are degrees of freedom in linear regression
+17192,17192,What is DF in regression
+17193,17193,What is N 2 degrees of freedom
+17194,17194,What does degree of freedom mean in regression
+17195,17195,What does it mean when algorithm X is asymptotically more efficient than Y
+17196,17196,What is efficiency of an algorithm
+17197,17197,What are the types of algorithm efficiency
+17198,17198,Is the Kullback Leibler divergence a distance metric
+17199,17199,Who started face recognition
+17200,17200,How long has Face ID been around
+17201,17201,What do you do with categorical variables
+17202,17202,How do you know if two categorical variables are correlated
+17203,17203,Can we use VIF for categorical variables
+17204,17204,What is unbiased estimate in statistics
+17205,17205,Why is the sample mean an unbiased estimator
+17206,17206,Is s an unbiased estimator of σ
+17207,17207,What is an unbiased point estimator
+17208,17208,What does it mean to say that the sample mean is an unbiased estimator of the population mean
+17209,17209,What does unbiased sample mean
+17210,17210,Why is the sample mean an unbiased estimator of the population mean quizlet
+17211,17211,Is sample mean an unbiased estimator of the population median
+17212,17212,What is a regression line in statistics
+17213,17213,What is an S shaped curve
+17214,17214,What is the role of bias in neural network
+17215,17215,What is bias in neural networks
+17216,17216,How are non parametric test different from parametric test
+17217,17217,What is twitter data
+17218,17218,How do I read twitter data downloads
+17219,17219,What can twitter data be used for
+17220,17220,Does the data appear to be normally distributed
+17221,17221,Which is not an assumption in logistic regression
+17222,17222,What's underlying distribution assumption for logistic regression
+17223,17223,Do dependent variables have to be normally distributed
+17224,17224,Does independent variable have to be normally distributed in linear regression
+17225,17225,What are the drawbacks of K means algorithm
+17226,17226,What are the advantages and disadvantages of clustering
+17227,17227,What are different issues of clustering
+17228,17228,How does active learning help students
+17229,17229,What is active learning approach
+17230,17230,What does a agent do
+17231,17231,What does a hazard ratio of 0.3 mean
+17232,17232,What does a hazard ratio of 1.0 mean
+17233,17233,How is likelihood function defined
+17234,17234,Is likelihood a PDF
+17235,17235,What do Quantiles mean
+17236,17236,What is percentile in statistics
+17237,17237,How do you find the percentile decile and quartile ungrouped data
+17238,17238,What are the disadvantages of linear communication
+17239,17239,What is the weakness of linear model
+17240,17240,What is independent event probability
+17241,17241,How do you determine if a probability is independent or dependent
+17242,17242,How do you calculate individual probability
+17243,17243,What is the difference between independent and dependent
+17244,17244,What does it mean when probability is independent
+17245,17245,What does hierarchical regression refer to
+17246,17246,What are the assumptions of hierarchical regression
+17247,17247,What is the key difference between stepwise and hierarchical multiple regression
+17248,17248,What does stepwise regression mean
+17249,17249,How do you do a hierarchical regression
+17250,17250,How do I run a hierarchical regression in R
+17251,17251,How do you do a hierarchical regression in SPSS
+17252,17252,How do I change metadata in ArcMap
+17253,17253,What is scene change detection
+17254,17254,What is change point in time series
+17255,17255,How do you define randomness
+17256,17256,What is random sampling and why is it important
+17257,17257,What are three reasons why we use random numbers
+17258,17258,What is random selection and why is it important
+17259,17259,Why is sampling needed
+17260,17260,What is sampling Why do we need to sample sample design
+17261,17261,What are the benefits of sampling
+17262,17262,Why do we use sample instead of population
+17263,17263,What is the most important reason for using random assignment in experiments
+17264,17264,What is the most important reason for using random sampling in experiments quizlet
+17265,17265,Can random forest be used for prediction
+17266,17266,Which algorithm is best for forecasting
+17267,17267,What does the T stand for in t test
+17268,17268,How do you find the Student t distribution
+17269,17269,What is at distribution in statistics
+17270,17270,Why is it called t distribution
+17271,17271,Why do we use at distribution instead of Z distribution for means
+17272,17272,What is the difference between T distribution and normal distribution
+17273,17273,What is Student t distribution statistics
+17274,17274,Why bootstrap is called Bootstrap
+17275,17275,Where did the term bootstrap come from
+17276,17276,What is bootstrap regression
+17277,17277,What is the difference between independent and conditional probability
+17278,17278,What is Intel NCS2
+17279,17279,What is Intel neural compute stick
+17280,17280,What is NCS2
+17281,17281,Why do we use moment generating function
+17282,17282,How do you find a generating function
+17283,17283,What is the role of histogram in image processing
+17284,17284,How can an image histogram help in enhancing an image
+17285,17285,What do you mean by image histogram
+17286,17286,How do camera histograms work
+17287,17287,What does an image histogram show
+17288,17288,Why histogram is used in image processing
+17289,17289,How is the Histogram palette helpful when analyzing an image
+17290,17290,Which type of histogram processing is suited for minute detailed enhancements
+17291,17291,What are the applications of a recurrent neural network
+17292,17292,What is Bayes rule in artificial intelligence
+17293,17293,What is aspect ratio formula
+17294,17294,How do you find the standard deviation of a lognormal distribution
+17295,17295,How do you find the standard deviation of a lognormal distribution in Excel
+17296,17296,What is mean and variance of normal distribution
+17297,17297,What is the mean in standard normal distribution
+17298,17298,Where is the mean in a normal distribution
+17299,17299,How do you find the CDF of a joint PDF
+17300,17300,How do you calculate marginal density from joint density
+17301,17301,How do you calculate marginal probability and joint probability
+17302,17302,What is standard unit example
+17303,17303,Why are standard units
+17304,17304,What is the difference between standard unit and SI unit
+17305,17305,What is called standard unit
+17306,17306,Is current A SI unit
+17307,17307,How many layers does an RBM restricted Boltzmann machine have
+17308,17308,Is hierarchical regression the same as stepwise regression
+17309,17309,In what specific application is stepwise regression used today
+17310,17310,What are the uses of decision tree in quantitative techniques
+17311,17311,Is a decision tree machine learning
+17312,17312,What is regression explain
+17313,17313,What is linear regression in machine learning with example
+17314,17314,What does regression mean
+17315,17315,What is regression and correlation
+17316,17316,What is feature extraction in text classification
+17317,17317,What do you mean by feature extraction
+17318,17318,What mean features
+17319,17319,What is MLP network
+17320,17320,What is parameter sharing in RNN
+17321,17321,What is MaxPooling2D
+17322,17322,How much data do you need for regression
+17323,17323,What is the difference between random and quota sampling
+17324,17324,Is quota sampling non probability sampling
+17325,17325,What is non randomized sampling
+17326,17326,How do you determine the consistency of an estimator
+17327,17327,How do you find the variance of a sample
+17328,17328,What is the variance of the sample mean
+17329,17329,What is a high sample variance
+17330,17330,What is the mean in probability
+17331,17331,What is mean and variance
+17332,17332,How do you find the population mean of a sample
+17333,17333,How do you find the probability of a sample between two numbers
+17334,17334,What is the probability that the sample mean would differ from the population mean by more than
+17335,17335,What does zero correlation tell you
+17336,17336,Does uncorrelated imply independence
+17337,17337,What is the difference between independence and zero correlation
+17338,17338,What happens if the correlation coefficient is 0
+17339,17339,What do you mean by clustering in data mining
+17340,17340,What is a cluster in machine learning
+17341,17341,Are fractions discrete or continuous
+17342,17342,What variable can take a fraction value
+17343,17343,What is linear regression explain
+17344,17344,How does multinomial logistic regression work
+17345,17345,How do you do a multinomial logistic regression in SPSS
+17346,17346,How do you interpret multiple logistic regression in SPSS
+17347,17347,How do you analyze multiple regression in SPSS
+17348,17348,What is the gamma parameter in SVM
+17349,17349,What is C parameter in logistic regression
+17350,17350,What is the multiple test
+17351,17351,What is Bayes theorem used to compute
+17352,17352,Where is Bayes theorem used
+17353,17353,What is Bayes theorem quizlet
+17354,17354,Can we use SVM for linear regression problems
+17355,17355,What is the use of dropout layer
+17356,17356,Where is the dropout layer
+17357,17357,What does drop out mean
+17358,17358,Is probability a discrete random variable
+17359,17359,What is SGDM in deep learning
+17360,17360,What is SGD machine learning
+17361,17361,Are neural networks stochastic
+17362,17362,What is unstructured data example
+17363,17363,Which is unstructured data
+17364,17364,What is the meaning of unstructured
+17365,17365,Which type of data is considered unstructured
+17366,17366,Where does unstructured data come from
+17367,17367,How do you find the mean and variance of a gamma distribution
+17368,17368,What is mean and variance of probability distribution
+17369,17369,What does gamma stand for
+17370,17370,What is Gamma function in statistics
+17371,17371,Why is beta distribution used
+17372,17372,Is SVM a binary classifier
+17373,17373,Is Arima a statistical model
+17374,17374,What is order in Arima model
+17375,17375,What is a positive scatter plot
+17376,17376,How do you interpret a scatter plot
+17377,17377,What makes a good scatter plot
+17378,17378,How do you tell if a scatter plot is a function
+17379,17379,What are the characteristics of a scatter plot
+17380,17380,How do you analyze a scatter plot
+17381,17381,What are the different types of parameters
+17382,17382,What is parameter and list its types
+17383,17383,What do you mean by parameter
+17384,17384,What are the two parameters
+17385,17385,What are the parameters in C
+17386,17386,What are function parameters
+17387,17387,How do you identify data anomaly
+17388,17388,What can you do with anomalies in data
+17389,17389,What is the Fourier transform of a function
+17390,17390,What is the importance of Fourier series
+17391,17391,What is the significance of Fourier series in vibration
+17392,17392,What is the purpose of Fourier analysis
+17393,17393,How do you test for randomness
+17394,17394,What is randomness in statistics
+17395,17395,What is the randomness of a system
+17396,17396,What is randomness in probability
+17397,17397,What is random data in statistics
+17398,17398,What type of analysis is factorial Anova
+17399,17399,What is the appropriate statistical test for a factorial design
+17400,17400,How do you report Anova results in APA
+17401,17401,What is meant by independent event
+17402,17402,Is at score a test statistic
+17403,17403,What does AT score mean in statistics
+17404,17404,Can a test statistic be a negative number
+17405,17405,What does a negative mean difference mean
+17406,17406,Why is Collinearity bad in regression
+17407,17407,How do you know if results are statistically significant
+17408,17408,What is the difference between statistical significance and practical significance
+17409,17409,What is the difference between statistical significance and practical significance can a treatment have statistical significance but not practical significance
+17410,17410,What is statistical significance mean
+17411,17411,What does it mean when a study is not statistically significant
+17412,17412,How can I get better at machine learning
+17413,17413,How can models improve accuracy
+17414,17414,What is item response theory used for
+17415,17415,In what ways are classical test theory and item response theory important in assessing learners
+17416,17416,What is classical measurement theory
+17417,17417,What are the assumptions of classical test theory
+17418,17418,Is K fold cross validation is linear in K
+17419,17419,How do you use K fold cross validation
+17420,17420,What is the value of K in K fold cross validation
+17421,17421,How do I cross validate a model in R
+17422,17422,How do you validate a regression model
+17423,17423,How do you know if a regression model is accurate in R
+17424,17424,What does the Kruskal Wallis test compare
+17425,17425,Does Kruskal Wallis assume equal variance
+17426,17426,What is the non parametric t test
+17427,17427,Is Kruskal Wallis test Parametric
+17428,17428,What is a regression analysis used for
+17429,17429,What is regression analysis and when is it used
+17430,17430,What are the two main objectives of image processing
+17431,17431,What are the advantages of image
+17432,17432,What are the disadvantages of digital image processing
+17433,17433,What does a regression line tell you
+17434,17434,How do you do a least squares regression line
+17435,17435,What does SSE mean in regression
+17436,17436,How do you calculate least squares regression line
+17437,17437,How do you find the regression equation between two variables
+17438,17438,What is the equation of the least squares regression line for the data set
+17439,17439,What is discrete data in statistics
+17440,17440,Is quantitative data discrete or continuous
+17441,17441,What is the difference between discrete data and continuous data
+17442,17442,What does Conv2D layer do
+17443,17443,What is a learning curve mean
+17444,17444,What does it mean to be on a learning curve
+17445,17445,What is the learning curve rate
+17446,17446,How do you overcome learning curve
+17447,17447,How do you interpret logged variables in regression
+17448,17448,How do you interpret a log transformed dependent variable
+17449,17449,How do you read log points
+17450,17450,What are the characteristics of knowledge representation
+17451,17451,How many types of entities are there in knowledge representation
+17452,17452,How many independent variables can there be in a regression model
+17453,17453,What is null hypothesis and p value
+17454,17454,Why is the standard deviation of the mean lower than the standard deviation of the data points in a set
+17455,17455,Why does the distribution of means have less variability than a distribution of individuals
+17456,17456,What is the difference between the distribution of the population the distribution of the sample and the sampling distribution of a sample statistic
+17457,17457,How is a sampling distribution different from the distribution of a population
+17458,17458,What is the difference between a sample mean and the population mean called
+17459,17459,What is a simple random variable
+17460,17460,How do you find the random variable in statistics
+17461,17461,Is z score a random variable
+17462,17462,What does the standard normal random variable Z mean
+17463,17463,What is second order moment
+17464,17464,What is a moment of a random variable
+17465,17465,What is realization time series
+17466,17466,How do you determine the values of a random variable
+17467,17467,How do you find the probability of a PDF
+17468,17468,What is meant by probability density
+17469,17469,How do you draw a probability function
+17470,17470,Is multivariate analysis the same as multiple regression
+17471,17471,Is regression A analysis
+17472,17472,Is logistic regression A multivariate analysis
+17473,17473,What is Multivariate multiple regression
+17474,17474,Is multivariate regression the same as multiple regression
+17475,17475,What is multivariable linear regression
+17476,17476,What is appropriate regression
+17477,17477,How do you create a vector field
+17478,17478,What is the circulation of a vector field
+17479,17479,Is flow a vector
+17480,17480,What is the difference between an independent t test and a dependent t test
+17481,17481,What is the difference between T test Z test and F test
+17482,17482,What is a paired two sample t test
+17483,17483,When can we use a t test for the difference of two means
+17484,17484,When should a paired t test be performed instead of a two sample t test chegg
+17485,17485,What does the F statistic tell you
+17486,17486,What is PSD in vibration
+17487,17487,What is power spectral density EEG
+17488,17488,Is Association supervised or unsupervised
+17489,17489,Is Apriori algorithm a machine learning algorithm
+17490,17490,What is meant by observer bias
+17491,17491,What type of observational bias can you relate to
+17492,17492,What is the actor Observer difference
+17493,17493,What is an example of actor observer effect
+17494,17494,Which of the following is an example of actor observer bias Akbar
+17495,17495,What is feature extraction in text mining
+17496,17496,How feature extraction is done
+17497,17497,Which of the following is an example of feature extraction in machine learning
+17498,17498,What is the meaning of factor analysis
+17499,17499,How do you do factor analysis
+17500,17500,How do you justify an outlier
+17501,17501,How do you correct outliers
+17502,17502,What happens when you normalize data
+17503,17503,What is a high pass filter used for
+17504,17504,What is RC low pass filter
+17505,17505,How does an RC low pass filter work
+17506,17506,Why RC circuit is low pass filter
+17507,17507,How is gain of high pass filter calculated
+17508,17508,How does a high pass filter work
+17509,17509,How is the higher order filters formed
+17510,17510,What is the difference between low pass filter and high pass filter
+17511,17511,How do you know if a point estimate is biased
+17512,17512,What is a posterior predictive check
+17513,17513,How do you calculate a PDF
+17514,17514,What is the relationship between CDF and PDF
+17515,17515,What is PDF vs CDF
+17516,17516,What are the regression lines explain their properties and uses
+17517,17517,What is the main purpose of regression analysis
+17518,17518,How do you describe a regression equation
+17519,17519,How many variables are in a regression analysis
+17520,17520,What are the two regression coefficients
+17521,17521,What is the objective of linear regression
+17522,17522,What are the applications of regression analysis
+17523,17523,What does the slight difference in mean and median mean
+17524,17524,When would the mean and median be the same
+17525,17525,How do you find the geometric mean
+17526,17526,Why is ReLU preferred over sigmoid
+17527,17527,How does the KNN algorithm work
+17528,17528,How do you do the KNN classification
+17529,17529,What are the two types of random sampling
+17530,17530,What type of research is random sampling
+17531,17531,What is the meaning of non random sampling
+17532,17532,What is an example of a non random sample
+17533,17533,What is considered a random sample
+17534,17534,Is Lstm supervised or unsupervised
+17535,17535,How regression analysis is used in forecasting
+17536,17536,What variable is being predicted in regression analysis
+17537,17537,How do you know if a regression model is accurate
+17538,17538,When you should use a regression model
+17539,17539,How do you change a non normal distribution
+17540,17540,What to do when data is not normally distributed
+17541,17541,How do you convert skewed data
+17542,17542,How do you make a normal data not normal
+17543,17543,Can we use standard deviation for non normal distribution
+17544,17544,Can't test be used for non normal distribution
+17545,17545,Do z scores follow a standard normal distribution
+17546,17546,What does Z represent in the standard normal distribution
+17547,17547,How do you use a z score table for a normal distribution
+17548,17548,What is the difference and comparison between the Z distribution and t distribution
+17549,17549,How do you describe the relationship of the Z table to the standard normal distribution table
+17550,17550,Do z scores only apply to normal distributions
+17551,17551,What is Z in standard normal distribution
+17552,17552,What is the difference between the normal curve and the Z distribution
+17553,17553,What is Z value in normal distribution
+17554,17554,What does Z distribution mean
+17555,17555,What is criterion in random forest
+17556,17556,Why are assumptions important in modeling
+17557,17557,What are assumptions in a model
+17558,17558,What is a regression tree model
+17559,17559,What are the main criteria to judge an algorithm
+17560,17560,What are the characteristics of algorithm
+17561,17561,What is algorithm and its characteristics
+17562,17562,How do you find the MLE of a binomial distribution
+17563,17563,How does connectionism explain learning
+17564,17564,How do you find the sample size for a finite population
+17565,17565,How do you calculate proportion in statistics
+17566,17566,How do you calculate the proportion between two numbers
+17567,17567,How do you calculate ratios and proportions
+17568,17568,How do you find the mean of a sample proportion
+17569,17569,What is the mean of the sampling distribution of the sample proportion
+17570,17570,How do you find the sample proportion
+17571,17571,Is proportion the same as percentage in statistics
+17572,17572,How do you find percent proportion in statistics
+17573,17573,What are the two types of continuous variables
+17574,17574,Is age discrete or continuous data
+17575,17575,Which statement is correct about K fold cross validation
+17576,17576,How do you interpret k fold cross validation
+17577,17577,What word is the opposite of entropy
+17578,17578,Is entropy and enthalpy the same
+17579,17579,Does enthalpy affect entropy
+17580,17580,Is life the opposite of entropy
+17581,17581,Can the arrow of time be reversed
+17582,17582,What does it mean to have negative entropy
+17583,17583,Can ∆ s be negative
+17584,17584,What's the opposite of entropy
+17585,17585,Does the universe tends towards entropy
+17586,17586,Is SVM a discriminative classifier
+17587,17587,Where can I find good data sets
+17588,17588,How do you download data sets
+17589,17589,How do I download a dataset for machine learning
+17590,17590,How do you obtain data
+17591,17591,How do you get a dataset for machine learning
+17592,17592,Why are correlated features bad
+17593,17593,Is Multicollinearity a problem
+17594,17594,Why is Multicollinearity a potential problem in a multiple linear regression
+17595,17595,How Multicollinearity can be a problem
+17596,17596,When should I be concerned about Multicollinearity
+17597,17597,What level of correlation indicates Multicollinearity
+17598,17598,What is the meaning of effect size in statistics
+17599,17599,What does effect size mean
+17600,17600,How do you choose Effect size
+17601,17601,Why is it important to report effect size
+17602,17602,Is MCMC Bayesian
+17603,17603,What is edge detection used for
+17604,17604,Which is the best edge detection algorithm
+17605,17605,What is an edge and what are its operators
+17606,17606,What are the steps in designing a machine learning problem explain with the Checkers problem
+17607,17607,How many steps are there in designing a learning system
+17608,17608,How do you test a tensor shape
+17609,17609,How do you find the metric tensor
+17610,17610,What is a unit tensor
+17611,17611,How does a TensorFlow graph work
+17612,17612,What is LDA in data science
+17613,17613,Why do we use LDA
+17614,17614,What is the null hypothesis for a chi square test of independence
+17615,17615,What is the null hypothesis for a chi square test quizlet
+17616,17616,When the null hypothesis in the chi square test is true there should be
+17617,17617,What kind of variables would you cross tabulate
+17618,17618,Is Ancova multivariate
+17619,17619,What type of test is Anova
+17620,17620,Is Anova descriptive analysis
+17621,17621,Why is Anova used in regression analysis
+17622,17622,How do you find the sample size when given the standard deviation
+17623,17623,How do you find a sample size given a confidence interval
+17624,17624,Which part of the confidence interval is affected by the sample size
+17625,17625,Who is the founder of probability
+17626,17626,Who defined probability
+17627,17627,Who invented probability and statistics
+17628,17628,Who is the father of statistics and probability
+17629,17629,Who introduced the concept of statistics
+17630,17630,What is the connection between probability and statistics
+17631,17631,Why do we use OLS method
+17632,17632,What are OLS estimators
+17633,17633,How will show that the OLS estimators are unbiased
+17634,17634,What is the use of linear regression in real life
+17635,17635,Why is regression useful
+17636,17636,Is Adam better than SGD
+17637,17637,What does Optimizer do in deep learning
+17638,17638,What is difference between IIR and FIR filters
+17639,17639,What is an IIR filter used for
+17640,17640,What are the advantages of IIR filters
+17641,17641,How do IIR filters work
+17642,17642,What is the difference between IIR and FIR filters
+17643,17643,Why do we use IIR filters
+17644,17644,Which of the following problems can be modeled as constraint satisfaction problem
+17645,17645,Why is oversampling used
+17646,17646,What is a multi class classification problem
+17647,17647,Which of the following are multi class classification problem example
+17648,17648,How do you find P value in linear regression
+17649,17649,What is cognitive in AI
+17650,17650,What is AI technology examples
+17651,17651,What are the technology areas of AI
+17652,17652,How AI can help in growing you cognitively
+17653,17653,Is dropout a form of regularization
+17654,17654,What is normalized weight
+17655,17655,What is normalization layer
+17656,17656,What is normalization in deep learning
+17657,17657,What is dropout in CNN
+17658,17658,What is S curve
+17659,17659,How does an S curve work
+17660,17660,What does an S curve look like
+17661,17661,What do you mean by interpolation and extrapolation
+17662,17662,What is meant by interpolation
+17663,17663,What does it mean by interpolation for a data set
+17664,17664,What is the difference between sample and interpolation
+17665,17665,How do you interpolate example
+17666,17666,What is an interpolation filter
+17667,17667,What is linear interpolation and extrapolation
+17668,17668,What extrapolate means
+17669,17669,Which is unsupervised machine learning algorithm
+17670,17670,What are likely effects of TNF α
+17671,17671,Is TNF alpha inflammatory
+17672,17672,What is the function of TNF alpha
+17673,17673,What causes elevated TNF alpha
+17674,17674,Is Knn affected by scale of data
+17675,17675,Which of the following are advantages of large value of K in K NN algorithm
+17676,17676,Can SVM handle categorical variables
+17677,17677,Is sample mean a biased estimator
+17678,17678,Why is transfer learning used
+17679,17679,What is transfer learning in NLP
+17680,17680,What is the meaning of transfer of learning
+17681,17681,What is transfer of learning PDF
+17682,17682,What is the importance of transfer of learning
+17683,17683,How do I import a dataset into Scikit learn
+17684,17684,WHAT IS A in confidence interval
+17685,17685,How do you test a null hypothesis in statistics
+17686,17686,What is distribution of test statistic
+17687,17687,What is the null value in statistics
+17688,17688,What is the distribution of the test statistic if the null hypothesis is true
+17689,17689,When H0 is true the frequency distribution of the T score is
+17690,17690,What is the t tests based on student's distribution useful for
+17691,17691,What is the null hypothesis for z test
+17692,17692,What is the distribution of the test statistic with parameter if any under h0
+17693,17693,How do you find the observed test statistic
+17694,17694,When the population variances are known which distribution does the test statistic follow
+17695,17695,How do you do a regression tree
+17696,17696,What is the difference between trees and logistic regression
+17697,17697,How are principal components calculated
+17698,17698,What do principal component scores mean
+17699,17699,How do you find optimal K in Knn
+17700,17700,Which type of target variable can be dealt by KNN
+17701,17701,Is logistic regression supervised learning
+17702,17702,Is logistic regression supervised or unsupervised
+17703,17703,What type of algorithm is logistic regression
+17704,17704,What does Z stand for in statistics
+17705,17705,What is Z star in statistics
+17706,17706,What is the difference between T and Z scores
+17707,17707,What is Z and T score
+17708,17708,How was artificial intelligence created
+17709,17709,Where was artificial intelligence invented
+17710,17710,When was Ai invented
+17711,17711,What does P value of .02 mean
+17712,17712,Is P value of 0.01 Significant
+17713,17713,What does a large P value mean
+17714,17714,How does predictive Modelling work
+17715,17715,What is the difference between sampling distribution and population distribution
+17716,17716,Is sampling distribution a population
+17717,17717,Is the mean of the sampling distribution equal to the population mean
+17718,17718,Is there a difference between mean and sample mean
+17719,17719,What is the difference between a sample mean and the population mean called quizlet
+17720,17720,What makes a distribution geometric
+17721,17721,How do you know if a distribution is binomial or geometric
+17722,17722,How do you know if it is binomial
+17723,17723,How do you overcome Underfitting in machine learning
+17724,17724,What happens when data skewed
+17725,17725,Which statement describes a cause of skewed data
+17726,17726,What does it mean when a histogram is skewed to the left
+17727,17727,What does a skewed normal distribution mean
+17728,17728,How do you tell if a distribution is skewed left or right
+17729,17729,How do you determine the direction of skewness
+17730,17730,What is a valid probability density function
+17731,17731,How do you find the density of a normal distribution
+17732,17732,What are the components of expert system in artificial intelligence
+17733,17733,What are examples of intelligent systems
+17734,17734,What do intelligent systems do
+17735,17735,What is meant by expert systems
+17736,17736,What is the role of expert system
+17737,17737,Can we use linear regression for classification
+17738,17738,What is random probability
+17739,17739,How do you find the missing probability
+17740,17740,What should be the probability of each value of the random variable
+17741,17741,What is a random variable in probability
+17742,17742,What are the uses of decision tree
+17743,17743,Can decision trees can be used for classification tasks
+17744,17744,What are the pros of decision trees
+17745,17745,What is likelihood and probability
+17746,17746,What is likelihood in naive Bayes
+17747,17747,What is AR method
+17748,17748,What does a correlation of .8 mean
+17749,17749,Is 0.7 A positive correlation
+17750,17750,What does a correlation of 0.1 mean
+17751,17751,What does a correlation of 0.2 mean
+17752,17752,Should I study data science or statistics
+17753,17753,Is a statistics degree worth it
+17754,17754,What does sample mean in statistics
+17755,17755,How do you calculate the mean difference
+17756,17756,What is the difference between the expected value of the sample mean and the population mean
+17757,17757,What is difference between RMS value and average value
+17758,17758,What is the meaning of average value
+17759,17759,How is K nearest neighbor different from K means clustering
+17760,17760,What's the difference between K nearest neighbor and K means clustering
+17761,17761,Is K nearest neighbor unsupervised
+17762,17762,Is Knn Parametric
+17763,17763,Is K means a classifier
+17764,17764,How do I enter categorical data in SPSS
+17765,17765,How is categorical data used in regression
+17766,17766,What is categorical predictors in regression
+17767,17767,What is the difference between Multivariate and univariate analysis
+17768,17768,What is a univariate Anova test
+17769,17769,Is likelihood a probability distribution
+17770,17770,What is L1 and L2 machine learning
+17771,17771,How do I create a subgroup in SPSS
+17772,17772,How do I compare subgroups in SPSS
+17773,17773,How do I enter grouped data in SPSS
+17774,17774,How do I compare two frequencies in SPSS
+17775,17775,How do you find the mean of multiple variables in SPSS
+17776,17776,How do you analyze data in SPSS
+17777,17777,How can multiple regression be used as a prediction technique
+17778,17778,How do you predict multiple regression analysis
+17779,17779,How do you predict multiple variables
+17780,17780,What is the number of predictors in a regression model
+17781,17781,Why does correlation not prove causation
+17782,17782,What is the difference between correlation and causal mechanism
+17783,17783,What is the difference between causal and correlational research
+17784,17784,Can a correlational study determine causality
+17785,17785,What do correlations tell us
+17786,17786,What is the difference between correlation and causality
+17787,17787,What is the Bayesian approach and why is it important for visual perception
+17788,17788,Why do we divide by N 1 instead of N
+17789,17789,Why do we use N 1 in sample standard deviation instead of N
+17790,17790,Why do you use N 1 in standard deviation
+17791,17791,When N 1 is used in the denominator How do you find the variance
+17792,17792,Why do we use N 1 as the denominator when calculating the variance of a sample
+17793,17793,What is NLP discuss NLP fundamental tasks in detail
+17794,17794,What are the two main components of NLP
+17795,17795,What are the advantages of neural networks I ability to learn by example
+17796,17796,Can we calculate precision for multiclass classification using confusion matrix
+17797,17797,How do you find precision and recall from confusion matrix
+17798,17798,How do you find the accuracy of a multiclass classification
+17799,17799,How do you do feature selection using random forest in R
+17800,17800,Can we use decision tree for feature selection
+17801,17801,What does a nonlinear relationship look like
+17802,17802,What does a linear association look like
+17803,17803,What is an example of positive association
+17804,17804,What is pool size in CNN
+17805,17805,What is window size in machine learning
+17806,17806,What is the purpose of a high pass filter
+17807,17807,What filtering technique should I use to retain sharp edges in an image
+17808,17808,Why Gaussian filter is used
+17809,17809,How do you induce alpha state
+17810,17810,What is alpha state of mind
+17811,17811,What does vector space mean
+17812,17812,What is the meaning of subspace
+17813,17813,What is the vector space of a matrix
+17814,17814,What are your biases
+17815,17815,How do you find power spectral density
+17816,17816,What do you mean by power spectral density
+17817,17817,How does Matlab calculate power spectral density
+17818,17818,Which rule is used to control the amount of weight at each step of training
+17819,17819,Is radial basis function linear
+17820,17820,What is normal kurtosis
+17821,17821,What does a kurtosis of 2 mean
+17822,17822,What level of kurtosis is acceptable
+17823,17823,What does skewness and kurtosis tell us
+17824,17824,How do you interpret a skewed distribution
+17825,17825,What does positive kurtosis value indicates for a data
+17826,17826,What is skip connection
+17827,17827,Why do we use Skip connections
+17828,17828,What is a skip connection in CNN
+17829,17829,Are P values affected by sample size
+17830,17830,Why do we calculate effect size
+17831,17831,How do you calculate Cohen's f2
+17832,17832,What does a small effect size tell us
+17833,17833,How does the effect size affects the power of a test
+17834,17834,How does effect size influence power
+17835,17835,Is linear regression supervised or unsupervised
+17836,17836,What is LDA in machine learning
+17837,17837,Is Qda Parametric
+17838,17838,What is an example of discrete random variable
+17839,17839,How do you identify a discrete random variable
+17840,17840,What makes a variable discrete
+17841,17841,Is age a discrete quantitative variable
+17842,17842,How do you do LDA
+17843,17843,What is LDA in data mining
+17844,17844,How is LDA different from PCA
+17845,17845,What is momentum in learning rate
+17846,17846,What is momentum factor in neural network
+17847,17847,What is momentum machine learning
+17848,17848,What is ML learning rate
+17849,17849,What is learning rate and momentum in neural network
+17850,17850,Is CNN a classifier
+17851,17851,Is a neural network way of classifying inputs
+17852,17852,What is bivariate random variable
+17853,17853,What is multivariate distribution in statistics
+17854,17854,What are the two types of probability distribution
+17855,17855,Is a bell curve a normal distribution
+17856,17856,What are the four characteristics of a normal distribution
+17857,17857,What are the characteristics of the normal curve
+17858,17858,What defines a normal distribution
+17859,17859,Which algorithm is used for unsupervised learning
+17860,17860,Is genetic algorithm deep learning
+17861,17861,What are the data visualization techniques
+17862,17862,What is Data Visualization in AI
+17863,17863,What does Visualisation mean
+17864,17864,What is visualization and its types
+17865,17865,What is the core purpose of data visualization
+17866,17866,What is Data Visualization Why is it needed
+17867,17867,How do you explain visualization
+17868,17868,In what cases would you use the binomial distribution
+17869,17869,How do you know when to use the binomial distribution to model a situation
+17870,17870,How do you know if a binomial is a random variable
+17871,17871,What are the requirements for a binomial distribution to be used to find probabilities
+17872,17872,How do you know when to use binomial PDF or CDF
+17873,17873,When can we use binomial distribution
+17874,17874,How do you know when to use binomial
+17875,17875,What is a kernel initializer
+17876,17876,How do you initialize weights
+17877,17877,How does angular detect change
+17878,17878,Which of the following is being used in angular 2 to detect changes
+17879,17879,How does angular update the DOM
+17880,17880,What is the default component change detection strategy in angular
+17881,17881,What triggers angular change detection
+17882,17882,What are the ways to trigger change detection in angular
+17883,17883,What is change detection angular
+17884,17884,How can you reduce variability in an experiment
+17885,17885,How do you reduce variability
+17886,17886,What is the best way to reduce sampling variability
+17887,17887,How do you reduce high variance
+17888,17888,Why does a neural network with small weights generalize better
+17889,17889,What is the role of weights and bias
+17890,17890,What does ACF plot show
+17891,17891,What does ACF measure
+17892,17892,How do you read an ACF and PACF plot
+17893,17893,Is learning TensorFlow worth it
+17894,17894,What is error variance in regression
+17895,17895,How do you interpret VIF results
+17896,17896,What VIF value indicates Multicollinearity
+17897,17897,What does it mean to account for variance
+17898,17898,How much variance is acceptable
+17899,17899,What does variance mean in regression
+17900,17900,Which are the main approach of fuzzy inference systems
+17901,17901,What is sampling frame error
+17902,17902,How do you calculate frame error rate
+17903,17903,What is framing error in UART
+17904,17904,What is an example of non sampling error
+17905,17905,Why is sampling error important
+17906,17906,How do you cluster variables
+17907,17907,How many variables are in a cluster analysis
+17908,17908,Which type of data mining is most suitable for categorical variables *
+17909,17909,What is sample standard deviation
+17910,17910,When should I use sample standard deviation
+17911,17911,What is a good standard deviation for a test
+17912,17912,What is the difference between population standard deviation and sample standard deviation
+17913,17913,What is the formula for SX
+17914,17914,Is SX a variance
+17915,17915,What is a linear kernel in SVM
+17916,17916,What does gamma distribution represent
+17917,17917,How do you evaluate gamma function
+17918,17918,How do you find the variance of a gamma distribution
+17919,17919,What are the parameters of gamma distribution
+17920,17920,How does a min/max algorithm work
+17921,17921,What is the complexity of MIN MAX algorithm
+17922,17922,What is the complexity of Minimax algorithm Mcq
+17923,17923,Which search is similar to Minimax search in AI
+17924,17924,What do we mean by integration
+17925,17925,What is integration in a sentence
+17926,17926,What is integration application
+17927,17927,What is integration and its types
+17928,17928,What is integration Class 11
+17929,17929,Why is KL divergence in VAE
+17930,17930,What is the difference of the formula in standard deviation in terms of population and sampling
+17931,17931,What is the difference between the population variance formula and the sample variance formula
+17932,17932,Why is standard deviation different
+17933,17933,Which formula should you use for standard deviation
+17934,17934,Why does the standard deviation formula work
+17935,17935,Why is Gaussian noise white
+17936,17936,How do I get rid of Gaussian noise
+17937,17937,How can random Gaussian noise be filtered out from an image
+17938,17938,What are the types of noise in image processing
+17939,17939,What causes image noise
+17940,17940,What is noise filtering in image processing
+17941,17941,What is Overfitting and why is it a problem
+17942,17942,What is Overfitting and how do you detect it
+17943,17943,What is ML bias
+17944,17944,What does an R squared value of 0.4 mean
+17945,17945,What does it mean if R Squared is low
+17946,17946,How do you interpret r squared
+17947,17947,What does an R2 value of 0.6 mean
+17948,17948,How can big data be misused
+17949,17949,What is an example of misused statistics
+17950,17950,How data can be misused
+17951,17951,What is the role of statistics in data science
+17952,17952,What do you learn in statistics
+17953,17953,What is a linear Perceptron
+17954,17954,What is the purpose of kernel trick in SVM
+17955,17955,What is kernel method in machine learning
+17956,17956,What is kernel trick in machine learning
+17957,17957,Is 0.2 A good correlation
+17958,17958,Who is an agent
+17959,17959,What is the role of an agent
+17960,17960,What is Agent function
+17961,17961,What are the advantages of sampling in statistics
+17962,17962,What is sampling what are the advantages of sampling over census
+17963,17963,What is a major advantage of using random sampling
+17964,17964,Which is a symmetric distribution
+17965,17965,Which of the following represents symmetrical distribution
+17966,17966,What best describes a symmetric distribution
+17967,17967,How do you know if a distribution is symmetric or skewed
+17968,17968,What is symmetrical data
+17969,17969,How do you know if a data set is symmetrical
+17970,17970,What is asymmetric data
+17971,17971,Does symmetric mean normal
+17972,17972,What is a symmetric distribution mean
+17973,17973,What is skewness and kurtosis for normal distribution
+17974,17974,What does or stand for in statistics
+17975,17975,What is the and/or rule in probability
+17976,17976,What are the properties of hash function in cryptography
+17977,17977,What are the six main properties of a good hash function
+17978,17978,What are two properties of a cryptographic hash functions choose two
+17979,17979,Which applications use hashing algorithms effectively
+17980,17980,Which is not application of hash function
+17981,17981,What is squash function
+17982,17982,Why do we need an activation function
+17983,17983,Why do we need non linear activation function
+17984,17984,What is sigmoid function in machine learning
+17985,17985,Why is sigmoid function used in logistic regression
+17986,17986,Can't test be used for nominal data
+17987,17987,What are the characteristics of an ideal filter
+17988,17988,What are the properties of filters
+17989,17989,Which is the non linear filter
+17990,17990,How do you find the probability of an independent event
+17991,17991,What is an independent compound event
+17992,17992,How do you find the probability of A or B independent
+17993,17993,How do you find the probability of two independent events
+17994,17994,Is the probability of A and B the same as the probability of B and A
+17995,17995,What is P AUB if A and B are independent
+17996,17996,What is the meaning of oversampling
+17997,17997,What does it mean when covariance is 0
+17998,17998,Is covariance 0 if independent
+17999,17999,What is the covariance of two random variables
+18000,18000,What will happen to the covariance of two independent random variables
+18001,18001,What is NLU in NLP
+18002,18002,What is natural language generation in AI
+18003,18003,What is the relationship between the standard normal distribution and the t distribution
+18004,18004,When would you use a t distribution instead of a normal distribution
+18005,18005,What does a chi square distribution tell you
+18006,18006,What does a chi square distribution look like
+18007,18007,How is chi square test different from other tests
+18008,18008,What is back propagation in deep learning
+18009,18009,Which Optimisation is used in back propagation algorithm
+18010,18010,What is the purpose of back propagation
+18011,18011,What is the objective of back propagation algorithm
+18012,18012,What is gradient descent medium
+18013,18013,How do you describe the distribution of data in statistics
+18014,18014,What is the distribution of the data
+18015,18015,How do you describe the distribution of a variable
+18016,18016,How do you describe the shape of a distribution histogram
+18017,18017,How do you describe the shape center and spread of a distribution
+18018,18018,What is the best way to describe a skewed distribution
+18019,18019,How do you describe the spread of a distribution
+18020,18020,What is the distribution of data
+18021,18021,Why kernel function is used
+18022,18022,What is the purpose of kernel function in SVM
+18023,18023,How do you define a kernel function
+18024,18024,What is the Mann Whitney U test used for
+18025,18025,How do you tell if a Mann Whitney U test is significant
+18026,18026,Why does Lstm gradient vanish
+18027,18027,What causes exploding gradient
+18028,18028,What are the ways to handle the vanishing gradient problem in RNNs
+18029,18029,What does it mean for events to be disjoint
+18030,18030,What do you mean by disjoint
+18031,18031,Can an event be disjoint and independent
+18032,18032,Can two events be both mutually exclusive and independent
+18033,18033,Can two events be both mutually exclusive and independent quizlet
+18034,18034,When A and B are two non empty and mutually exclusive events
+18035,18035,What does it mean that the results are not statistically significant for this study
+18036,18036,What do you do if P value is not significant
+18037,18037,Do you report non significant results
+18038,18038,What does lack of statistical significance mean
+18039,18039,How are density and relative density different
+18040,18040,What is relative density
+18041,18041,What is the difference between absolute density and relative density
+18042,18042,What do you mean by density and relative density of a substance
+18043,18043,What do you mean by relative density
+18044,18044,What do you mean by density
+18045,18045,What is relative density and density
+18046,18046,What is relative density kid definition
+18047,18047,What is the value of relative density
+18048,18048,How do you explain density
+18049,18049,How many hidden layers do I have
+18050,18050,What is difference between single layer Perceptron and multi layer Perceptron
+18051,18051,How many hidden layers and neurons are there
+18052,18052,How can I improve my dataset
+18053,18053,How does binary cross entropy work
+18054,18054,Is binary cross entropy convex
+18055,18055,Is sensitivity dependent on prevalence
+18056,18056,Is PPV the same as sensitivity
+18057,18057,How is sensitivity calculated
+18058,18058,How do you calculate sensitivity specificity and accuracy
+18059,18059,What are factors in factor analysis
+18060,18060,What is the difference between factor analysis and regression
+18061,18061,Is PCA factor analysis
+18062,18062,What is component matrix in factor analysis
+18063,18063,What is component transformation matrix
+18064,18064,What is factor transformation matrix
+18065,18065,What is the difference between component matrix and rotated component matrix
+18066,18066,What is the normal distribution of IQ scores
+18067,18067,What is the normal distribution of SAT scores
+18068,18068,What is the most frequently occurring score in a distribution
+18069,18069,What is the average score in a distribution
+18070,18070,Which measure of central tendency is the most frequent score in a list of scores
+18071,18071,What is an example of distribution
+18072,18072,What is a distribution area
+18073,18073,How do you create training data for object detection
+18074,18074,Is object detection machine learning
+18075,18075,What is mean divided by standard deviation
+18076,18076,Why do we divide by standard deviation
+18077,18077,How do you average two standard deviations
+18078,18078,What is the meaning of standard deviation of 1
+18079,18079,What does N represent in standard deviation
+18080,18080,Why is it N 1 for standard deviation
+18081,18081,What happens to the SEM as N is increased
+18082,18082,Is standard deviation equal to range
+18083,18083,What does it mean by 1 standard deviation
+18084,18084,Why do we calculate standard deviation
+18085,18085,Is Yolo a convolutional neural network
+18086,18086,How does R CNN work
+18087,18087,What is a R CNN
+18088,18088,What are some reasons for putting a larger portion of data into the training set
+18089,18089,What is the difference between random effect and fixed effect
+18090,18090,How do you find the PDF of X
+18091,18091,What is statistics and how is it used
+18092,18092,What does statistical Modelling mean
+18093,18093,What is statistical data used for
+18094,18094,What are the statistical methods in research
+18095,18095,What does disparate impact mean
+18096,18096,How do you calculate accuracy in classification
+18097,18097,Is a histogram a descriptive statistic
+18098,18098,What type of data is a histogram
+18099,18099,What are univariate descriptive statistics
+18100,18100,What does univariate data mean
+18101,18101,What is Univariate vs multivariate
+18102,18102,What is regression plot in neural network
+18103,18103,Is neural network linear regression
+18104,18104,Which statement is true about neural network and linear regression models
+18105,18105,What is the use of regression in machine learning
+18106,18106,Why linear regression is used in machine learning
+18107,18107,Why do we use regression
+18108,18108,How can we extend SVM for multi class classification problems
+18109,18109,Can correlation be nonlinear
+18110,18110,How do you tell if a scatter plot is linear or nonlinear
+18111,18111,What is a non linear scale
+18112,18112,What is a non linear scatterplot
+18113,18113,How do you know if data is linear
+18114,18114,How do you tell if a system is linear or nonlinear
+18115,18115,How do you test for non linearity
+18116,18116,What is the difference between linear vs nonlinear
+18117,18117,What are the 2 branches of statistics
+18118,18118,What is inferential statistics and descriptive statistics
+18119,18119,What is the main difference between descriptive and inferential statistics
+18120,18120,What is meant by descriptive statistics and inferential statistics
+18121,18121,What are the two types of statistics
+18122,18122,What are the two main branches of statistics quizlet
+18123,18123,What is pruning in decision trees and how is it done
+18124,18124,What is the dimension of a dataset
+18125,18125,What is the difference between Dimension and attribute
+18126,18126,What is the meaning of concept learning
+18127,18127,What is the difference between simple and weighted average
+18128,18128,What is a discrete probability distribution example
+18129,18129,What is the difference between discrete and continuous functions
+18130,18130,What is difference between discrete and continuous probability distributions
+18131,18131,What is the difference between the probability distribution of a discrete random variable and that of a continuous random variable
+18132,18132,What is a probability distribution for a discrete random variable
+18133,18133,What is the synonym of ensemble
+18134,18134,Why is it called dummy variable
+18135,18135,What means dummy
+18136,18136,What are dummy variables in statistics
+18137,18137,What are the types of machine learning models
+18138,18138,How do you calculate F measure from confusion matrix
+18139,18139,What is the equation to calculate classification accuracy
+18140,18140,How do you measure performance of classification
+18141,18141,What is the difference between panel data and time series
+18142,18142,What is cross sectional in statistics
+18143,18143,Why is correlation important in regression
+18144,18144,Does regression show correlation
+18145,18145,When would you use regression analysis example
+18146,18146,Why would you use a regression analysis
+18147,18147,When should linear regression be used
+18148,18148,How does Correlation help forecasting
+18149,18149,What is correlation and how is it different from prediction
+18150,18150,What is the difference between the correlation and regression analysis
+18151,18151,What is naive Bayes theorem in machine learning
+18152,18152,Where does the Bayesian rule can be used
+18153,18153,Why is tree pruning useful in decision tree induction What is a drawback of using a separate set of tuples to evaluate pruning
+18154,18154,Is Probability and Statistics hard
+18155,18155,How do you become good at probability
+18156,18156,How do you solve probability problems quickly
+18157,18157,How do you calculate grade 7 in probability
+18158,18158,How do you express probability in maths
+18159,18159,What is early stopping in deep learning
+18160,18160,Can you overtrain a neural network
+18161,18161,Why deep learning has taken off now
+18162,18162,When did deep learning take off
+18163,18163,What are the characteristics of deep learning
+18164,18164,How is machine learning different from traditional programming
+18165,18165,What does kappa statistic mean
+18166,18166,What does a kappa of 0 mean
+18167,18167,Can I use neural network for regression
+18168,18168,Can neural networks learn discontinuous functions
+18169,18169,Does Multicollinearity affect neural networks
+18170,18170,Can neural network approximate any function
+18171,18171,What's the difference between classification and regression
+18172,18172,How do you call the process of predicting a discrete categorical value
+18173,18173,Why do we use moving averages
+18174,18174,What is an example of a biased sampling method
+18175,18175,What does it mean for a sample to be unbiased
+18176,18176,Are random samples biased
+18177,18177,What is meant by biased sample
+18178,18178,How does random sampling reduce bias
+18179,18179,What does the ROC curve tell you
+18180,18180,How do you choose the best threshold on a ROC curve
+18181,18181,How do you find the threshold in logistic regression
+18182,18182,How does SVM different from logistic regression
+18183,18183,How can you increase the accuracy of a SVM classifier
+18184,18184,What are the sources of unstructured data
+18185,18185,Which of the following is unstructured data
+18186,18186,What are structured data types
+18187,18187,How many types of samples are there in inferential statistics
+18188,18188,What is the difference between descriptive analysis and descriptive statistics
+18189,18189,What is the main difference between descriptive statistics and inferential statistics
+18190,18190,What is analytic statistics
+18191,18191,What is classification rate
+18192,18192,What is classification model
+18193,18193,How do you evaluate a binary classifier
+18194,18194,How do you train a classifier
+18195,18195,Which algorithm is best for binary classification
+18196,18196,How many images do you need to train a classifier
+18197,18197,What are the advantages of multiple regression
+18198,18198,How do you figure out the test statistic
+18199,18199,What is considered a high Gini coefficient
+18200,18200,Can Gini coefficients be negative
+18201,18201,Why is the Gini ratio a popular measure of inequality
+18202,18202,What are the disadvantages limitations or drawbacks of using the Gini index coefficient
+18203,18203,What are the advantages of Gini coefficient
+18204,18204,What does the Gini ratio measure
+18205,18205,How do you interpret Ks values
+18206,18206,What is the null hypothesis for the Shapiro Wilk test
+18207,18207,What does null hypothesis stand for
+18208,18208,What is the p value for normality test
+18209,18209,What is root mean square average
+18210,18210,How do you convert RMS to average
+18211,18211,What is T value and p value
+18212,18212,What does P value mean in t test
+18213,18213,What does the P value mean in linear regression
+18214,18214,What is difference between continuous and discrete variable
+18215,18215,What is Laplacian in image processing
+18216,18216,Why Laplacian operator is normally used for image sharpening operation
+18217,18217,What does Laplacian filter do
+18218,18218,Why is scaling of Laplacian filtered image necessary
+18219,18219,What is batch normalization in keras
+18220,18220,How does the law of large numbers related to probability
+18221,18221,How is the law of large numbers related to probability
+18222,18222,How data can be misleading
+18223,18223,How can data misrepresentation be avoided
+18224,18224,What does misleading data mean
+18225,18225,What is the purpose of gradient descent
+18226,18226,What is machine learning and its algorithms
+18227,18227,What is the purpose of a chi square test for independence of association
+18228,18228,Under what conditions chi square test is applicable
+18229,18229,What is another word for moments
+18230,18230,Where did the word moment come from
+18231,18231,What does the term moment mean
+18232,18232,What is difference between moment and momentum
+18233,18233,How do you define reliability
+18234,18234,What is test reliability and validity
+18235,18235,Why is test reliability important
+18236,18236,What is reliability in testing and evaluation
+18237,18237,Does random sample mean IID
+18238,18238,What is non IID
+18239,18239,How do you interpret a sample covariance
+18240,18240,What do positive values of covariance indicate
+18241,18241,What is sample covariance used for
+18242,18242,What does covariance tell us in statistics
+18243,18243,Which type of learning is used in the clustering process
+18244,18244,What kind of machine learning algorithm is K means clustering
+18245,18245,Is Knn a clustering algorithm
+18246,18246,Is clustering unsupervised learning
+18247,18247,When we should use K means clustering
+18248,18248,What are the types of linear model
+18249,18249,Is linear regression a model
+18250,18250,What are the 2 other name of linear model
+18251,18251,What do I need to know about linear models
+18252,18252,What are linear models used for
+18253,18253,What is the formula for linear model
+18254,18254,How does simple linear regression work
+18255,18255,What are the assumptions of the OLS model
+18256,18256,Which assumptions must hold true for ordinary least square regression
+18257,18257,What are the assumptions of regression
+18258,18258,What are the assumptions of the classical linear regression model
+18259,18259,What assumptions do we make about the error term when estimating an ordinary least squares OLS regression
+18260,18260,What are the assumptions we make when we estimate a regression model
+18261,18261,What are dummy variables in regression
+18262,18262,Why are they called dummy variables
+18263,18263,What is the use of pooling in CNN
+18264,18264,How do you define convolution
+18265,18265,What is deep learning and why is it important to your education
+18266,18266,What is difference between false positive and false negative
+18267,18267,What is the probability of a false positive test result
+18268,18268,How do you avoid selection bias in a cross sectional study
+18269,18269,What is one way to reduce bias in an experiment
+18270,18270,What are the limitations of a cross sectional study
+18271,18271,What are the advantages of KNN algorithm
+18272,18272,What is KNN algorithm in machine learning
+18273,18273,What is the difference between SVM and KNN
+18274,18274,What is random effect model in statistics
+18275,18275,What do random effects do
+18276,18276,Is gender a random variable
+18277,18277,Is age a random effect
+18278,18278,Is PCA unsupervised learning
+18279,18279,Which of the following algorithms are considered for unsupervised learning
+18280,18280,What is the value of log base 2
+18281,18281,What is the log base 2 of 8
+18282,18282,How do you get rid of log base 2
+18283,18283,How do you prove probability functions
+18284,18284,How do you prove two probabilities are independent
+18285,18285,How do I know if I am a PA or B dependent
+18286,18286,Is P A and B the same as P B and A
+18287,18287,How do you know if an B is independent
+18288,18288,What are models in ML
+18289,18289,What does model refers to in machine learning
+18290,18290,What is a model in ML
+18291,18291,What does learning model mean
+18292,18292,Which is the hierarchical clustering algorithm
+18293,18293,What is difference between CNN and DNN
+18294,18294,What is a DNN neural network
+18295,18295,What is DNN in AI
+18296,18296,What is SDLC and its phases
+18297,18297,What do you mean by SDLC
+18298,18298,What is the use of decision tree
+18299,18299,What does Decision Tree mean
+18300,18300,What is the purpose of the median
+18301,18301,Which is unsupervised learning method
+18302,18302,Is Knn unsupervised learning
+18303,18303,What is loss and accuracy in CNN
+18304,18304,How do I improve CNN accuracy
+18305,18305,What is MIN MAX search
+18306,18306,What is min max strategy
+18307,18307,Which search method is used in MIN MAX algorithm
+18308,18308,Why Alpha Beta approach is better than MIN MAX search
+18309,18309,Why Alpha Beta pruning is better than Max Min algorithm
+18310,18310,What is the advantage of adding alpha beta pruning to a Minimax algorithm
+18311,18311,What is artificial intelligence and examples
+18312,18312,What is artificial intelligence and its importance
+18313,18313,What does the chi square test tell us
+18314,18314,What is the chi squared equation
+18315,18315,Can the null hypothesis be rejected at the 0.05 level
+18316,18316,What does it mean to reject H0
+18317,18317,What happens when you fail to reject the null hypothesis
+18318,18318,What type of error is made if you fail to reject the null hypothesis when the null hypothesis is actually false
+18319,18319,How do you reject a null hypothesis t test
+18320,18320,What does it mean when you reject the null hypothesis
+18321,18321,Is the null hypothesis more or less likely to be rejected explain
+18322,18322,Why would data be normally distributed
+18323,18323,How do u know if data is normally distributed
+18324,18324,Why are things normally distributed
+18325,18325,What is the purpose of normal distribution
+18326,18326,Where does normal distribution come from
+18327,18327,What is required for a set of data to be normally distributed
+18328,18328,How do you make a normal distribution
+18329,18329,Why is AUC a good metric
+18330,18330,What does cosine similarity mean
+18331,18331,What is the relationship between variance and standard deviation
+18332,18332,What is mean median mode variance and standard deviation
+18333,18333,What is the mean variance
+18334,18334,What does standard deviation mean in real life
+18335,18335,How standard deviation is calculated
+18336,18336,How is deviation score calculated
+18337,18337,What is standard deviation formula with example
+18338,18338,What is Bayesian data analysis
+18339,18339,What is combination and permutation
+18340,18340,What is the permutation
+18341,18341,What is the difference between autoregressive and moving average
+18342,18342,What is Arima in time series
+18343,18343,What is the difference between Arima and Sarima
+18344,18344,What does a correlation coefficient of 0.6 mean
+18345,18345,What is mean of exponential
+18346,18346,How do you find the median of an exponential distribution
+18347,18347,What is the mean of the exponential distribution
+18348,18348,What is the median of an exponential distribution
+18349,18349,What does exponential mean in statistics
+18350,18350,How do you find the variance of an exponential distribution
+18351,18351,What is the standard deviation of an exponential distribution
+18352,18352,What is the variance of a Poisson distribution
+18353,18353,How do you tell if something is left or right tailed or two tailed
+18354,18354,Why is the median important and what does it tell us
+18355,18355,Why do mean median and mode useful in interpreting the performance of the students
+18356,18356,Which is best to use mean median mode
+18357,18357,Why do we use mean and median
+18358,18358,What is the use of median
+18359,18359,What is another word for likelihood
+18360,18360,Can Tableau do predictive analytics
+18361,18361,Which type of data is used for predictive analytics
+18362,18362,Can you do regression analysis in Tableau
+18363,18363,What industries use data analytics
+18364,18364,What does sensitivity and specificity measure
+18365,18365,How do you calculate specificity and sensitivity in statistics
+18366,18366,What is sensitivity in statistics
+18367,18367,Is CDF the derivative of PDF
+18368,18368,What is the relationship between the binomial and normal distribution
+18369,18369,What is a binomial distribution in stats
+18370,18370,Is 50 a strong correlation
+18371,18371,What does a correlation of .05 mean
+18372,18372,How do you know which measure of association to use
+18373,18373,What is Gamma stand for
+18374,18374,How do you calculate gamma
+18375,18375,What does γ mean in math
+18376,18376,What is lambda in Boxcox
+18377,18377,Where is lambda for box Cox
+18378,18378,What is the type of regression
+18379,18379,What is regression relationship
+18380,18380,Is Regression a type of correlation
+18381,18381,Are regression coefficients independent
+18382,18382,What is Apriori algorithm explain with example
+18383,18383,What are the two steps of Apriori algorithm
+18384,18384,What is the difference between classical test theory and item response theory
+18385,18385,What is a characteristic curve
+18386,18386,What is an item characteristic curve quizlet
+18387,18387,Which is true of item characteristic curves
+18388,18388,Which of the following would have a constant input in each epoch of training a deep learning model Mcq
+18389,18389,What is two layer neural network
+18390,18390,What are neural network layers
+18391,18391,How many layers should neural network have
+18392,18392,Why are neural networks good
+18393,18393,Why are neural networks so popular
+18394,18394,What is the goal of deep learning
+18395,18395,What is good coefficient of variation
+18396,18396,What is the best measure of variation
+18397,18397,Why are the measures of variation useful
+18398,18398,What are the measures of variance
+18399,18399,What does train a model mean
+18400,18400,What is the purpose of the training and test dataset
+18401,18401,What do you mean by training data
+18402,18402,What is training in machine learning
+18403,18403,What is train data and test data in machine learning
+18404,18404,How do you create training data
+18405,18405,How does artificial intelligence impact society
+18406,18406,What problems does Multicollinearity cause
+18407,18407,Is random forest affected by outliers
+18408,18408,What is a limitation of decision trees
+18409,18409,What exactly is Fourier Transform
+18410,18410,What are the properties of Fourier series
+18411,18411,What is the benefit of Fourier Transform
+18412,18412,What is the imaginary part of a Fourier transform
+18413,18413,Are Arima models linear
+18414,18414,What does Collinearity mean in statistics
+18415,18415,How do you interpret cross entropy losses
+18416,18416,What type of learning is clustering
+18417,18417,Is K means clustering Parametric
+18418,18418,What is threshold in precision recall curve
+18419,18419,How do you calculate precision and recall for multiclass
+18420,18420,What is the precision recall curve
+18421,18421,Can logistic regression be used for continuous variables
+18422,18422,What is the difference between sample distribution and sampling distribution
+18423,18423,What sample means
+18424,18424,How do we find the mean of that sampling distribution
+18425,18425,What happens to the mean of the sampling distribution of the sample mean when the sample size increases
+18426,18426,Is a matrix a linear transformation
+18427,18427,What is trace in matrices
+18428,18428,Are matrices linear operators
+18429,18429,How is averaging useful
+18430,18430,Why is mean the average
+18431,18431,What is meant by cross entropy
+18432,18432,How do you get Overfitting
+18433,18433,Can decision trees Overfit
+18434,18434,How we can avoid the overfitting in decision tree
+18435,18435,Are Decision Trees bad on outliers
+18436,18436,Is data analytics and big data same
+18437,18437,How does data analytics relate to big data
+18438,18438,What is the difference between data science big data and data analytics
+18439,18439,How do you find the weighted mean Likert scale
+18440,18440,Why do we use asymptotic notations in the study of algorithms
+18441,18441,Why do we need to do algorithm analysis
+18442,18442,Why do we use asymptotic notations in the study of algorithms briefly describe the commonly used asymptotic notations with examples
+18443,18443,What are the two methods to analyze the efficiency of an algorithm
+18444,18444,How do you Analyse an algorithm
+18445,18445,What are the factors that influence the efficiency of any algorithm
+18446,18446,Can MSE be used for classification
+18447,18447,What is RMSE in ML
+18448,18448,How does backpropagation algorithm work
+18449,18449,What can backpropagation be used to compute gradients for
+18450,18450,What is Backpropagation ML
+18451,18451,What Bayes theorem tells us
+18452,18452,How do you find the threshold value in statistics
+18453,18453,How do you read ROC curves
+18454,18454,What is evaluation in machine learning
+18455,18455,How do you analyze a machine learning model
+18456,18456,How the performance of an algorithm is evaluated
+18457,18457,How an algorithm is analyzed
+18458,18458,How do you evaluate algorithms
+18459,18459,What is a very useful technique for assessing the performance of machine learning model
+18460,18460,Does data need to be normal for linear regression
+18461,18461,How do you Analyse ordinal data
+18462,18462,What test is used for ordinal data
+18463,18463,How do you analyze ordinal data in SPSS
+18464,18464,Is Least Squares A linear regression
+18465,18465,What is least square regression used for
+18466,18466,Why is the least squares regression line
+18467,18467,Are neural networks machine learning
+18468,18468,Is machine learning and AI the same
+18469,18469,Is artificial neural network supervised learning
+18470,18470,Is a neural network AI
+18471,18471,How fast are neural networks
+18472,18472,What are the different types of bias in research
+18473,18473,What does RBM mean in texting
+18474,18474,What is mean by RBM
+18475,18475,What does noba stand for
+18476,18476,What does batch size means
+18477,18477,What is the relationship between descriptive and inferential statistics
+18478,18478,What are two common descriptive statistics
+18479,18479,What is information gain in decision trees
+18480,18480,What is information gain in data science
+18481,18481,What is information gain and entropy
+18482,18482,What is the main drawback of the information gain metric in decision trees
+18483,18483,Why do we prefer information gain over accuracy when splitting
+18484,18484,Can the value of information gain be negative
+18485,18485,What is the use of information gain
+18486,18486,What does the regression value tell us
+18487,18487,What does the r2 value mean
+18488,18488,What does Alpha represent in regression
+18489,18489,What is B and beta in regression analysis
+18490,18490,What is alpha in multiple regression
+18491,18491,What is cost function logistic regression
+18492,18492,What is the function of logistic regression
+18493,18493,What are LSI keywords
+18494,18494,Which is the tool to research keywords
+18495,18495,Can we use DFS for Shortest Path
+18496,18496,Which algorithm is used to find shortest path
+18497,18497,How do you find the PDF of a function of a random variable
+18498,18498,What is the law of a random variable
+18499,18499,What is N in grouped data
+18500,18500,What is the median of 2 numbers
+18501,18501,What is the formula for median of grouped data
+18502,18502,How do you interpret confidence intervals in regression
+18503,18503,What is a confidence interval in research
+18504,18504,What is considered a large confidence interval
+18505,18505,What is the use of multitasking
+18506,18506,What part of the brain helps you multitask
+18507,18507,How do you use multitasking in a sentence
+18508,18508,Is Anova a parametric test
+18509,18509,Is Anova a non parametric test
+18510,18510,Is 2 way Anova parametric or nonparametric
+18511,18511,What kind of test is Anova
+18512,18512,When can it be appropriate to use non parametric tests
+18513,18513,How do I know my lens filter size
+18514,18514,Does filter size matter
+18515,18515,What is your preferred learning style and why answer
+18516,18516,How many searching techniques are there in data structure
+18517,18517,Which of the following statements about an interpolation search is true
+18518,18518,What makes something a Markov chain
+18519,18519,Can we use SVM for image classification
+18520,18520,What is binary classification machine learning
+18521,18521,Which is not an example of continuous variable
+18522,18522,Which of the following is a continuous variable
+18523,18523,What is the experimental group
+18524,18524,What do you mean by experimental
+18525,18525,What is the meaning of experimental group
+18526,18526,What is experimental variable example
+18527,18527,How do you find the experimental variable
+18528,18528,What is an experimental variable quizlet
+18529,18529,What are the two groups in experimental design
+18530,18530,Can we use RNN for image processing
+18531,18531,How do you train images in a neural network
+18532,18532,How does neural network work in image processing
+18533,18533,How many images do you need to train a neural network
+18534,18534,What is the difference between sample survey and census
+18535,18535,Why use a sample instead of a census
+18536,18536,What are the advantages and disadvantages of sample survey
+18537,18537,What does it mean when a distribution is skewed
+18538,18538,What does it mean when the distribution of data is skewed to the right quizlet
+18539,18539,How do you interpret a right skewed histogram
+18540,18540,How do you find the stratified sample size
+18541,18541,Does stratification increase sample size
+18542,18542,What is stratified random sampling
+18543,18543,Is SRS stratified sampling
+18544,18544,What is the difference between simple random sampling and stratified sampling
+18545,18545,How many types of transfer of learning are there
+18546,18546,What are the principles of transfer of learning
+18547,18547,What are the four sources of error in measurement
+18548,18548,What are the sources of measurement error
+18549,18549,Is ReLU a loss function
+18550,18550,What does spatial autocorrelation mean
+18551,18551,What is positive spatial autocorrelation
+18552,18552,What is AI ML
+18553,18553,What is deep learning in ML
+18554,18554,How does AlphaZero learn
+18555,18555,When was Alpha Go created
+18556,18556,Why is backward elimination used
+18557,18557,Why is it important to use separate training and test sets
+18558,18558,Why do we split data in machine learning
+18559,18559,How do you split a training and validation set
+18560,18560,Why do we divide the data into train and test
+18561,18561,Why do we need to split data mining
+18562,18562,What does NMF mean
+18563,18563,How do you find the linear transformation of a matrix
+18564,18564,How do you calculate percentile
+18565,18565,How do you calculate linear regression equation
+18566,18566,What is the primary role of statistics in predictive analytics
+18567,18567,What are the three pillars of predictive analytics
+18568,18568,What questions can be answered using predictive analytics
+18569,18569,What are the data used to make the predictive analytics solution work
+18570,18570,Where do you think predictive analytics can be applied
+18571,18571,What is first order Markov chain
+18572,18572,What do you mean by convolution
+18573,18573,What is convolution property of DFT
+18574,18574,What is a convolution function
+18575,18575,What is the definition of convolution
+18576,18576,What is the physical meaning of convolution
+18577,18577,What is the purpose of a correlation analysis
+18578,18578,What do correlations between variables tell us
+18579,18579,What conclusions can you draw from bivariate correlational Analyses
+18580,18580,What is another word for bivariate
+18581,18581,How does Altman calculate z score
+18582,18582,Why do we calculate z scores
+18583,18583,What does it mean when the z score is high
+18584,18584,What does the Altman Z score tell you
+18585,18585,What is the statistical formula for mean
+18586,18586,What do you mean by mean in statistics
+18587,18587,What does Kalman filter do
+18588,18588,What are the advantages and disadvantages of Randomised control trials
+18589,18589,What are three reasons that randomized controlled trials may not detect important safety issues
+18590,18590,What are the benefits of Randomised control trials
+18591,18591,How are sensitivity and specificity related
+18592,18592,How does an inverted index work
+18593,18593,What is an interaction term
+18594,18594,How do you interpret interaction terms
+18595,18595,What does an interaction plot tell you
+18596,18596,What if interaction term is not significant
+18597,18597,What does statistical interaction mean
+18598,18598,How do you do interaction terms in regression
+18599,18599,How do you create an interaction term in SPSS
+18600,18600,How do you interpret a plot
+18601,18601,How do you interpret negative interaction terms
+18602,18602,Is K means used for classification
+18603,18603,What is the output of K means
+18604,18604,What is the purpose of statistical inferences ie determining statistical significance )
+18605,18605,What is the meaning of the term statistical inference quizlet
+18606,18606,What is the benefit of using inferential statistics in psychological research
+18607,18607,What is meant by non parametric test
+18608,18608,What does parametric and nonparametric mean
+18609,18609,What does parametric data mean
+18610,18610,What is the relationship between Type 1 and Type 2 errors
+18611,18611,How do you control confounding analysis
+18612,18612,What is stratified analysis
+18613,18613,How do you control for confounding variables in multivariate analysis
+18614,18614,What does stratify data mean
+18615,18615,Which of the following model learns the word Embeddings based on the co occurrence of the words in the corpus
+18616,18616,How are Word embeds trained
+18617,18617,Which layer of the skip gram model has the actual word embedding representation
+18618,18618,What Kappa means
+18619,18619,How do you calculate kappa value
+18620,18620,What is Adaptive Linear Neuron
+18621,18621,How can genetic algorithms be used to train recurrent neural networks
+18622,18622,What algorithm allows neural networks to train
+18623,18623,What is an appropriate distance measure to use for hierarchical clustering and why
+18624,18624,What is the definition of unbiased
+18625,18625,What do you mean by predictive analytics along with decision tree
+18626,18626,How does random forest calculate probability
+18627,18627,How do you read a mixed effect model
+18628,18628,What is the difference between fixed effect and random effect models
+18629,18629,Is color a qualitative data
+18630,18630,What can be done with big data
+18631,18631,What are benefits of big data
+18632,18632,What are big data technologies used for
+18633,18633,What are problems associated with big data
+18634,18634,What is big data and its challenges
+18635,18635,What is meant by false dichotomy
+18636,18636,What is an example of a dichotomy
+18637,18637,Is a false dichotomy and a false dilemma the same thing
+18638,18638,How do you find the predicted value in regression
+18639,18639,How do you determine linear regression
+18640,18640,How do you find the predicted value and residuals
+18641,18641,How do you find the predicted value in SPSS
+18642,18642,Why is the harmonic series called Harmonic
+18643,18643,What does it mean to be binomial
+18644,18644,What is not a probability distribution
+18645,18645,How do you know if a table shows a probability distribution
+18646,18646,What does a discrete probability distribution look like
+18647,18647,What does Chebyshev's inequality say
+18648,18648,What is inter group bias
+18649,18649,How can we avoid in group bias
+18650,18650,What is the ingroup outgroup phenomenon
+18651,18651,What are the characteristics associated with the out group
+18652,18652,What is data analytics course
+18653,18653,What is the difference between a frequency table and a relative frequency table
+18654,18654,What is the difference between a frequency and relative frequency histogram
+18655,18655,What is meant by relative frequency
+18656,18656,What is the difference between frequency table and frequency distribution
+18657,18657,How do you describe a frequency distribution table
+18658,18658,What is an example of relative frequency probability
+18659,18659,How do you find bias in linear regression
+18660,18660,What is bias term in linear regression
+18661,18661,What is the bias term
+18662,18662,Is logistic regression unbiased
+18663,18663,How is logistic regression calculated
+18664,18664,How do you calculate logistic regression
+18665,18665,What is the syntax for logistic regression model
+18666,18666,What is the optimal decision strategy for the problem
+18667,18667,What are pipelines give examples
+18668,18668,What is a two tailed null hypothesis
+18669,18669,What does a two tailed hypothesis predict
+18670,18670,What is a two tailed hypothesis example
+18671,18671,What is a two tailed hypothesis
+18672,18672,What is the alternative hypothesis for this situation
+18673,18673,Which hypothesis is tested null or alternative
+18674,18674,What is the null and alternative hypothesis
+18675,18675,Is the alternative hypothesis one sided or two sided
+18676,18676,How do you know if events are mutually exclusive or independent
+18677,18677,What does the dependent variable represent
+18678,18678,Is the Dependant variable The outcome
+18679,18679,Is Multicollinearity a problem in clustering
+18680,18680,Is K means clustering sensitive to outliers
+18681,18681,What is the minimum no of variables features required to perform clustering
+18682,18682,How do you evaluate a clustering performance
+18683,18683,How do you validate clustering results
+18684,18684,What is cluster evaluation
+18685,18685,What are the major tasks in clustering evaluation
+18686,18686,What is a disadvantage of a histogram
+18687,18687,What is the advantage of a dot plot over a histogram
+18688,18688,What are the disadvantages of using a histogram instead of a dot plot
+18689,18689,What is the difference between a dot plot and a histogram
+18690,18690,What does a negative chi square mean
+18691,18691,Why is chi squared one sided
+18692,18692,Can chi squared be 0
+18693,18693,When would you use bootstrap sampling
+18694,18694,Why must sample size be considered in estimation
+18695,18695,Why self selection bias is a concern for survey design
+18696,18696,How do you deal with categorical variables
+18697,18697,How do you deal with large number of categorical variables
+18698,18698,How do you use dummy variables in regression
+18699,18699,How do dummy variables work in regression analysis
+18700,18700,What happens if dependent variable is a dummy variable
+18701,18701,Why is association not causation
+18702,18702,What does Association does not imply causation mean
+18703,18703,What is association and causation
+18704,18704,How are Likert scales measured
+18705,18705,How do you Analyse Likert scale data in SPSS
+18706,18706,How do you analyze data from a Likert scale
+18707,18707,How do you Analyse questionnaire data in SPSS
+18708,18708,What is the systematic random sampling method
+18709,18709,How do you calculate systematic random sampling
+18710,18710,What is systematic sampling method
+18711,18711,What are the steps in sampling process
+18712,18712,What is sampling steps and types
+18713,18713,What is the example of statistics
+18714,18714,What is the discrete probability distribution
+18715,18715,What are discrete probability functions
+18716,18716,How do you find the discrete distribution
+18717,18717,Can an absolute max be a local Max
+18718,18718,What is the difference between absolute extrema and local extrema
+18719,18719,Do all functions have local extrema
+18720,18720,Is date quantitative or qualitative
+18721,18721,Why are sampling distributions useful
+18722,18722,How do you find the shape of a sampling distribution
+18723,18723,How do you find the cosine similarity between two strings
+18724,18724,How do you compare two strings in darts
+18725,18725,How do you find the common words in two strings in python
+18726,18726,How do you find common characters in two strings
+18727,18727,How do you find the common element in a list Python
+18728,18728,How do you compare two strings in python
+18729,18729,Can we compare two strings
+18730,18730,Does sample size affect R Squared
+18731,18731,Why does sample size affect the significance of R
+18732,18732,Does sample size affect validity
+18733,18733,Is correlation affected by sample size
+18734,18734,What is a good sample size for correlation
+18735,18735,How does sample size affect R Squared
+18736,18736,What increases r squared
+18737,18737,Is R Squared affected by outliers
+18738,18738,How does sample size affect reliability
+18739,18739,What is sample size and why is it important
+18740,18740,How big of a sample size do I need to be statistically significant
+18741,18741,What is R and R2 in regression
+18742,18742,What is difference between r2 and r2
+18743,18743,Why do we use r squared instead of R
+18744,18744,What is the relationship between arithmetic mean and geometric mean
+18745,18745,What letter is gamma
+18746,18746,What is Gamma
+18747,18747,How do you find the distribution of data in statistics
+18748,18748,What is mean median mode example
+18749,18749,How does median differ from average
+18750,18750,What is the difference between median age and average age
+18751,18751,What is the purpose of a factorial
+18752,18752,How do you explain Factorials
+18753,18753,What is a factorial of 8
+18754,18754,How do you calculate a factorial
+18755,18755,What is Lasso ridge regression
+18756,18756,What do residuals show in linear regression
+18757,18757,What does the residual represent
+18758,18758,What does a linear residual plot mean
+18759,18759,How do you know if a residual plot is linear
+18760,18760,When the regression line is linear
+18761,18761,How do you interpret residual value
+18762,18762,What are residuals and fitted values
+18763,18763,How do you interpret a residual plot
+18764,18764,How does the normal probability plot of the residuals show that the residuals are normally distributed
+18765,18765,What does it mean if residuals are normally distributed
+18766,18766,How does confusion matrix work
+18767,18767,How do you choose a classifier for machine learning
+18768,18768,What is p value in goodness of fit test
+18769,18769,How are the expected values computed for the goodness of fit test
+18770,18770,How do you find the expected frequency in a chi square goodness of fit
+18771,18771,What does chi square test tell you
+18772,18772,What is chi square test and its uses
+18773,18773,Can paired categorical data can be examined using a chi square test
+18774,18774,How is a chi square test carried out what do its results tell you what types of data are suitable for chi square analysis
+18775,18775,How do you find the cross product of a vector
+18776,18776,What is the cross product of the same vector
+18777,18777,Does cross product give you a vector
+18778,18778,Will the cross product of two vectors be zero
+18779,18779,What is the formula of cross product of two vectors
+18780,18780,How do you find the normal vector of a vector field
+18781,18781,What does normal vector mean
+18782,18782,What is dependent and independent variable in regression analysis
+18783,18783,What is the meaning of dependent and independent variables
+18784,18784,How do I know what the dependent variable is
+18785,18785,What is an MLP classifier
+18786,18786,What is the meaning of binary search
+18787,18787,What is binary search tree explain with example
+18788,18788,How do you do a binary search
+18789,18789,What is data augmentation in image processing
+18790,18790,How do you augment a dataset
+18791,18791,What is the difference between systematic sampling and cluster sampling
+18792,18792,What is the mean of the distribution of sample means
+18793,18793,What is the approximate distribution
+18794,18794,Why do we approximate sampling distribution
+18795,18795,How do you know if a sampling distribution is approximately normal
+18796,18796,What are descriptive and predictive data mining
+18797,18797,What is predictive research
+18798,18798,Is clustering predictive or descriptive
+18799,18799,Is machine learning predictive analytics
+18800,18800,What is the difference between predictive and prescriptive analytics
+18801,18801,What is predictive and descriptive data mining
+18802,18802,What is predictive data mining
+18803,18803,What is descriptive learning in machine learning
+18804,18804,What are the key elements of machine learning
+18805,18805,Which of the following activation functions can be used for multi class classification
+18806,18806,Which method is used at the output layer for classification
+18807,18807,Why do we use sigmoid
+18808,18808,Can sigmoid be used for multiclass classification
+18809,18809,How do you find the consistency of data
+18810,18810,What does consistency of data imply
+18811,18811,What is consistency in big data
+18812,18812,How do you ensure data consistency
+18813,18813,What makes a good test statistic
+18814,18814,Is test statistic the same as P value
+18815,18815,What is gradient descent optimizer
+18816,18816,What is optimization gradient
+18817,18817,What is cost function in gradient descent
+18818,18818,How do you calculate variance in research
+18819,18819,What does the variance of the estimate tell us
+18820,18820,What is variance of sample mean
+18821,18821,What is normal distribution and uniform distribution in statistics
+18822,18822,What is uniform distribution used for
+18823,18823,When it is appropriate to use uniform distribution to describe a random variable
+18824,18824,Which of the following test is used to check for uniformity
+18825,18825,What is frequency testing
+18826,18826,What does it mean to optimize something
+18827,18827,What does it mean to optimize performance
+18828,18828,What is the antonym of Optimise
+18829,18829,What does the word optimized mean
+18830,18830,How do you use optimize in a sentence
+18831,18831,What are the two benefits of NAT
+18832,18832,Which of the following is a disadvantage of network address translation NAT
+18833,18833,What are the benefits of NAT
+18834,18834,What are two benefits of NAT choose two
+18835,18835,What are the two basic types of NAT
+18836,18836,What is residue in residual network
+18837,18837,How do robots and artificial intelligence work together
+18838,18838,What is difference between robot and AI
+18839,18839,How does AI work in robotics
+18840,18840,What is the difference between artificial intelligence and robotics
+18841,18841,Does robotics use AI
+18842,18842,What is the Contrapositive of inverse of inverse
+18843,18843,How do you find the inverse and Contrapositive of a converse
+18844,18844,Which of the expert system uses backward chaining
+18845,18845,What is forward chaining in expert system
+18846,18846,What is face detection in image processing
+18847,18847,What is facial recognition used for
+18848,18848,What are the features of face recognition
+18849,18849,How can a decision tree improve accuracy
+18850,18850,How do you measure accuracy
+18851,18851,What is Max depth in decision tree
+18852,18852,What is the output of a decision tree
+18853,18853,How do you read a decision tree output
+18854,18854,What does a decision tree tell you
+18855,18855,What is AI not AI
+18856,18856,What is AI and what isn t
+18857,18857,What's the opposite of artificial intelligence
+18858,18858,Is Artificial Intelligence possible
+18859,18859,How reliable is Artificial Intelligence
+18860,18860,How is artificial intelligence being used today
+18861,18861,What are the classifications of data mining clustering
+18862,18862,What is sample in statistics
+18863,18863,How do you find a sample in statistics
+18864,18864,What is population and sample with example
+18865,18865,What is population sampling method
+18866,18866,Why is population sampling important
+18867,18867,Is sample mean and mean the same
+18868,18868,What is the example of sample
+18869,18869,How are algorithms used in social media
+18870,18870,What does algorithm mean in social media
+18871,18871,How do algorithms work on Facebook
+18872,18872,How does an algorithm work
+18873,18873,How do you handle outliers
+18874,18874,Is Xgboost sensitive to outliers
+18875,18875,What is outlier in clustering
+18876,18876,Is Perceptron feed forward neural network
+18877,18877,What is a Perceptron model
+18878,18878,What is alpha and beta in beta distribution
+18879,18879,What is alpha in gamma distribution
+18880,18880,What is the mode of a gamma distribution
+18881,18881,What is P and Q in logic
+18882,18882,What does P Q mean
+18883,18883,What is logically equivalent to p q
+18884,18884,Which of the following is logically equivalent to ∼ P ⇒ Q
+18885,18885,What is P <-> Q
+18886,18886,What is bias in model
+18887,18887,What is AB testing on Facebook
+18888,18888,What are rules of probability
+18889,18889,What are the laws of probability in statistics
+18890,18890,What are the steps in constructing a probability distribution
+18891,18891,What is the formula for a linear line
+18892,18892,What is the formula for a linear function
+18893,18893,How do you determine linear
+18894,18894,Is there a linear relationship between the two variables
+18895,18895,How do you know if two variables have a linear relationship
+18896,18896,When there is a nonlinear relationship between two variables
+18897,18897,What is the relationship between these two variables
+18898,18898,What is the definition of sample mean
+18899,18899,What effect does population size have on sample size
+18900,18900,What happens to the mean when the sample size decreases
+18901,18901,What is AR and MA in Arima
+18902,18902,What is the difference between ARMA and Arima
+18903,18903,What does a negative R squared value mean
+18904,18904,What does a negative slope coefficient mean
+18905,18905,What does negative R2 value mean
+18906,18906,What does 1 minus r squared mean
+18907,18907,What do R2 values tell us
+18908,18908,Can adjusted R squared be negative
+18909,18909,How do you interpret adjusted R squared
+18910,18910,What does gradient descent algorithm do
+18911,18911,What is Epsilon decay
+18912,18912,Is Q learning reinforcement learning
+18913,18913,How do you test if there is a linear relationship
+18914,18914,What is linear correlation in statistics
+18915,18915,What is a test statistic value
+18916,18916,How do you validate a linear regression model
+18917,18917,What is Association Rule Discovery
+18918,18918,What is association rule mining used for
+18919,18919,What are the different types of probability distributions
+18920,18920,What are the two continuous probability distributions
+18921,18921,How do you find the theoretical probability distribution
+18922,18922,What is the difference between hypothesis testing and confidence intervals
+18923,18923,How do you reject a null hypothesis with a confidence interval
+18924,18924,How do you interpret a varimax rotation
+18925,18925,How do you interpret the results of factor analysis in SPSS
+18926,18926,How do you report a loading factor
+18927,18927,What are the real world applications of SVM
+18928,18928,What is supervised and unsupervised learning
+18929,18929,Can logistic regression be used for non linear classification
+18930,18930,What is the purpose of reinforcement learning
+18931,18931,Why do we use reinforcement in learning
+18932,18932,What is interaction in logistic regression
+18933,18933,How do you read a Gaussian curve
+18934,18934,What does the p value represent
+18935,18935,Which naive Bayes is used for text classification
+18936,18936,What is naive Bayes classification algorithm
+18937,18937,What do you mean by Bayesian classification
+18938,18938,How do you use naive Bayes for text classification
+18939,18939,How do you use naive Bayes for sentiment analysis
+18940,18940,Why do we calculate standard error of the mean
+18941,18941,What is the value of the standard error of the mean
+18942,18942,What can we learn from machine learning
+18943,18943,What is the difference between machine learning algorithms and traditional algorithms
+18944,18944,What is machine learning and why is it important
+18945,18945,Which moving average is best
+18946,18946,What is the function of moving average
+18947,18947,What do moving averages tell us
+18948,18948,What does a moving average tell you
+18949,18949,What is Rasch measurement model
+18950,18950,What is Rasch Unit
+18951,18951,What is a good RIT score
+18952,18952,What does RIT stand for
+18953,18953,How do you determine the size of a histogram bin
+18954,18954,What is the bin size of a histogram
+18955,18955,What are bins in a histogram
+18956,18956,How do you determine the bin for a histogram
+18957,18957,How does bin width affect histogram
+18958,18958,What are bins Matlab
+18959,18959,What does the activation function do
+18960,18960,What does Zfill mean in Python
+18961,18961,What is Rjust in Python
+18962,18962,What does it mean if two means are significantly different
+18963,18963,How do you determine if there is a statistically significant difference in Excel
+18964,18964,How do you compare sample means
+18965,18965,What test is used to compare two means
+18966,18966,Are neural networks supervised or unsupervised learning
+18967,18967,Can neural networks be used for supervised learning
+18968,18968,Can deep neural networks be trained in an unsupervised way
+18969,18969,What is supervised learning in deep learning
+18970,18970,Is neural network supervised learning
+18971,18971,Is a neuron and a nerve cell the same thing
+18972,18972,What is the difference between probability and non probability sampling
+18973,18973,What is non probability sampling in qualitative research
+18974,18974,What is a probability sampling technique
+18975,18975,What is Visualisation in big data
+18976,18976,What are the types of data visualization
+18977,18977,What is Data Visualization in Data Analytics
+18978,18978,What is meant by percentile
+18979,18979,How do you find percentile from standard deviation
+18980,18980,How do you find the percentile with mean and standard deviation on a TI 84
+18981,18981,What percentile is 2 standard deviations from the mean
+18982,18982,Why do neural networks need nonlinearities
+18983,18983,Why do we need activation function in neural network
+18984,18984,What is linearity in machine learning
+18985,18985,What is linearity and non linearity
+18986,18986,What is nonlinear learning
+18987,18987,Which of the following gives non linearity to a neural network
+18988,18988,What are the different types of concept
+18989,18989,What is the difference between categories and concepts
+18990,18990,What are residuals in regression
+18991,18991,How do you find residuals on TI 84
+18992,18992,What do residuals represent
+18993,18993,What is the purpose of residual analysis
+18994,18994,How do you get residuals on TI 84
+18995,18995,How do you find the residual
+18996,18996,How are outliers treated
+18997,18997,When can Outliers be removed
+18998,18998,Why do you think that cluster sampling is frequently used in practice
+18999,18999,Why is cluster sampling the most preferred sampling
+19000,19000,What is cluster sampling and when is most appropriately used
+19001,19001,What is a cluster sampling design
+19002,19002,Why do we standardize normal distribution
+19003,19003,How do we standardize a normal distribution
+19004,19004,What does standardized mean in statistics
+19005,19005,What does it mean to standardize data
+19006,19006,Why do we standardize or normalize data
+19007,19007,What can be the disadvantage if the learning rate is very high in gradient descent
+19008,19008,What is gradient descent in deep learning
+19009,19009,What problems AI can solve
+19010,19010,How can AI solve problems
+19011,19011,What is the difference between Anova and Kruskal Wallis
+19012,19012,What does deeper learning mean
+19013,19013,What are the core skills for deeper learning
+19014,19014,How do you develop meaningful learning experiences
+19015,19015,Why do we calculate range
+19016,19016,What is the range of the data
+19017,19017,What does range Tell us about data
+19018,19018,What does Range mean
+19019,19019,What is high bias and high variance
+19020,19020,What is object identification
+19021,19021,How do you identify the subject and object
+19022,19022,What is random variation give an example
+19023,19023,How do you calculate random variation
+19024,19024,What is a single agent
+19025,19025,What is a rational agent in artificial intelligence
+19026,19026,What is the purpose of Z test
+19027,19027,What are the conditions for using t test
+19028,19028,What is the difference between supervised learning and unsupervised learning explain using suitable examples
+19029,19029,How do you describe accuracy and precision
+19030,19030,How do you explain accuracy
+19031,19031,How do you prove accuracy
+19032,19032,What is meant by statistical power
+19033,19033,What are four factors that influence statistical power
+19034,19034,Why is statistical significance so important
+19035,19035,What is a good statistical power
+19036,19036,How do you interpret statistical power
+19037,19037,How do you define statistical power
+19038,19038,What is statistical power used for
+19039,19039,What is practical significance in statistics
+19040,19040,What is the minimum sample size for regression analysis
+19041,19041,Do you need to scale data for linear regression
+19042,19042,What do you need to run a regression
+19043,19043,What limits the use of regression analysis
+19044,19044,What happens if you increase the sample size
+19045,19045,Is machine learning and AI same
+19046,19046,What kind of data does a scatter plot use
+19047,19047,What types of data are best portrayed with scatter plots
+19048,19048,When use logistic regression vs SVM
+19049,19049,What are support vectors SVR
+19050,19050,What is the difference between SVR and SVM
+19051,19051,What are the properties of a normal density curve
+19052,19052,What are the characteristics of t distribution
+19053,19053,What are the three properties of the standardized distribution
+19054,19054,What is the mean of t distribution
+19055,19055,What is the range of t distribution
+19056,19056,Which of the following are characteristics of a normal distribution quizlet
+19057,19057,What are the 3 properties of distribution
+19058,19058,What are the four properties of a normal distribution
+19059,19059,What is meant by distribution function
+19060,19060,What is the 2 norm of a vector
+19061,19061,What does norm of a vector mean
+19062,19062,What is the two norm
+19063,19063,How do you find the norm of a function
+19064,19064,What is a hazard rate in probability
+19065,19065,What are the real world applications of image processing
+19066,19066,Why is weight initialization important in a neural network
+19067,19067,Why do we need deep neural networks
+19068,19068,What is the relationship between correlation and regression coefficient
+19069,19069,Is correlation coefficient the same as regression coefficient
+19070,19070,What is the relationship between R and r2
+19071,19071,How does correlation affect regression
+19072,19072,What is the relationship between the linear correlation r and the slope b1 of a regression line
+19073,19073,What is the t test statistic and how is it interpreted quizlet
+19074,19074,What is a test statistic and what does it tell us
+19075,19075,What is probability sampling and its types
+19076,19076,What is the definition and type of sampling
+19077,19077,Is probability sampling better than Nonprobability sampling
+19078,19078,What is Ridge linear regression
+19079,19079,What is balanced accuracy in confusion matrix
+19080,19080,How does CNN model work
+19081,19081,What is CNN in deep learning
+19082,19082,Which layer is used to extract features
+19083,19083,What is convolution layer responsible for
+19084,19084,What is the general principle of an ensemble method
+19085,19085,What body parts are used for measurements
+19086,19086,In what ways do we use measurement
+19087,19087,How do you take body measurements
+19088,19088,How are units measured
+19089,19089,When taken around the parts of the body to be measured it is called
+19090,19090,How do you find y bar in statistics
+19091,19091,What does Y with a bar over it mean in statistics
+19092,19092,What does it mean when a variable has a line over it
+19093,19093,What is Y in statistics
+19094,19094,How do you calculate y estimate
+19095,19095,How do you find y in a regression
+19096,19096,How do you calculate Y cap in regression
+19097,19097,What does statistical significance mean quizlet
+19098,19098,What does statistically significant mean in statistics
+19099,19099,How is statistical significance measured and what determines if a result is statistically significant
+19100,19100,How can deep learning improve accuracy
+19101,19101,How can accuracy of classification be improved
+19102,19102,What does annotated images mean
+19103,19103,What is annotation in image processing
+19104,19104,What is the significance F in regression
+19105,19105,Is the F distribution skewed
+19106,19106,What is a good f value
+19107,19107,What does the F value mean
+19108,19108,How do you interpret F value in regression
+19109,19109,What distribution is used for Anova
+19110,19110,Does Anova use F distribution
+19111,19111,How do you find the f value in Anova
+19112,19112,Does Anova assume normal distribution
+19113,19113,What is Anova output
+19114,19114,What is considered a low coefficient of variation
+19115,19115,Can you have a negative coefficient of variation
+19116,19116,How do you compare variability of two variables
+19117,19117,Why does matrix exist
+19118,19118,What exactly is the Matrix
+19119,19119,What is the idea behind the Matrix
+19120,19120,Is linear regression same as best fit
+19121,19121,How do you interpret least squares
+19122,19122,What does SVC stand for machine learning
+19123,19123,What does C do in SVM
+19124,19124,What do you mean by backpropagation in neural network
+19125,19125,Why do we need backpropagation in neural network
+19126,19126,Should I use keras or TensorFlow
+19127,19127,Where is geometric mean used
+19128,19128,What is normally distributed data examples
+19129,19129,How do you know if data is normally distributed using standard deviation
+19130,19130,How do you determine if a distribution is approximately normal
+19131,19131,How does estimation contribute to statistics
+19132,19132,What is the null hypothesis for F test
+19133,19133,How do you find the test statistic F
+19134,19134,When the null hypothesis is false the F statistic is
+19135,19135,What is omnibus null hypothesis
+19136,19136,What is the omnibus test in Anova
+19137,19137,Why is the Gini Coefficient important
+19138,19138,How do you calculate Gini coefficient
+19139,19139,How do you interpret Gini coefficient
+19140,19140,What does the intercept tell us
+19141,19141,How do you interpret slope and intercept
+19142,19142,What are smoothing methods
+19143,19143,Which is not the data smoothing technique
+19144,19144,What is the purpose of exponential smoothing
+19145,19145,How do you do exponential smoothing
+19146,19146,What value should I use for the smoothing constant
+19147,19147,What is the range of smoothing constant alpha
+19148,19148,How do you describe a linear regression line
+19149,19149,What is disparate treatment quizlet
+19150,19150,What is meant by image annotation
+19151,19151,What is data annotation in machine learning
+19152,19152,How do you annotate data
+19153,19153,What are data annotations
+19154,19154,What is data labeling and annotation
+19155,19155,How many variables are needed for regression analysis
+19156,19156,What does greedy algorithm mean
+19157,19157,What is meant by greedy algorithm
+19158,19158,What are greedy algorithms used for
+19159,19159,How do you find the similarity between two time series
+19160,19160,How do you evaluate a ML model
+19161,19161,How do you cross validate in machine learning
+19162,19162,What AI means
+19163,19163,How do I convert EFX to Bitcoin
+19164,19164,What is test set in data mining
+19165,19165,Why do we need usability testing
+19166,19166,What is user testing and why is it important
+19167,19167,When should usability testing be carried out
+19168,19168,What is the purpose of usability testing
+19169,19169,How do you use usability testing
+19170,19170,What is usability testing example
+19171,19171,What does testing for usability mean
+19172,19172,Which technique is used for usability testing
+19173,19173,Is .01 a strong correlation coefficient
+19174,19174,Is 0.02 a weak correlation
+19175,19175,What is pattern in neural network
+19176,19176,What is deep learning and neural networks
+19177,19177,Is artificial neural network deep learning
+19178,19178,What is a neural network AI
+19179,19179,What are some data analysis methods
+19180,19180,What is the formula for finding outliers
+19181,19181,How do you determine if a score is an outlier
+19182,19182,What does sensitivity mean in statistics
+19183,19183,How do you calculate FPR and TPR
+19184,19184,How is FPR calculated
+19185,19185,What is TPR in machine learning
+19186,19186,How do you find the conditional distribution in statistics
+19187,19187,What is a marginal distribution in statistics
+19188,19188,What is meant by a conditional distribution quizlet
+19189,19189,How do you find the marginal distribution function
+19190,19190,What does marginal probability mean
+19191,19191,How do you get rid of Multicollinearity
+19192,19192,How can Multicollinearity be resolved
+19193,19193,How do I remove correlated features
+19194,19194,How do you handle correlated data
+19195,19195,What are the applications and limitations of dimensional analysis
+19196,19196,What are the uses of dimensional analysis explain with one example
+19197,19197,How do you find the variance of a discrete random variable
+19198,19198,How do you find the standard deviation of an independent random variable
+19199,19199,How do you find the variance of a random variable
+19200,19200,What is the shortcut to find variance
+19201,19201,What is a model and why do we use them
+19202,19202,What is meant by model and modeling
+19203,19203,How would you define a model
+19204,19204,What is model description
+19205,19205,What is geometric
+19206,19206,Why is the geometric mean used
+19207,19207,What is the difference between Ridge and lasso
+19208,19208,How do you sketch probability distribution
+19209,19209,What does a probability distribution represent
+19210,19210,What does a probability distribution tell you about an experiment
+19211,19211,How do you determine if a distribution represents a probability distribution
+19212,19212,What does a probability distribution look like
+19213,19213,What is the normal distribution equation
+19214,19214,Can I take linear algebra before calculus
+19215,19215,Why should I learn linear algebra
+19216,19216,What should I take before linear algebra
+19217,19217,What does Q value mean
+19218,19218,What is the value of Q in statistics
+19219,19219,How do you interpret Q value
+19220,19220,What is Q in meta analysis
+19221,19221,What is Q equation
+19222,19222,Can Lasso be used for variable selection
+19223,19223,Which type of regularization can help in feature selection
+19224,19224,What does the binomial distribution formula do
+19225,19225,What is searching in artificial intelligence
+19226,19226,What are the components of artificial intelligence
+19227,19227,What is importance of artificial intelligence
+19228,19228,What algorithms are used in AI
+19229,19229,What are the limitations of linear probability model
+19230,19230,What is a logit value
+19231,19231,Why do we take log in logistic regression
+19232,19232,What is IA technology
+19233,19233,How AI is different from general intelligence
+19234,19234,What does logarithmic growth mean
+19235,19235,What does a logarithmic scale show
+19236,19236,How do you plot a log log graph
+19237,19237,How do you tell if a graph is exponential or logarithmic
+19238,19238,How can models improve performance
+19239,19239,How does Skip gram model work
+19240,19240,What is a Skipgram
+19241,19241,Which of the following model predicts if a word is a context of another word or not
+19242,19242,Which model predicts if a word is a context of another word or not
+19243,19243,What is a skip gram model
+19244,19244,What conclusions can be drawn from a box plot
+19245,19245,What does a convolution layer do
+19246,19246,What is a convolution layer in CNN
+19247,19247,What is a layer in CNN
+19248,19248,What is the use of convolutional layer
+19249,19249,Is UNet a FCN
+19250,19250,What is the class boundary
+19251,19251,What is backtracking algorithm with example
+19252,19252,Which search is used for backtracking
+19253,19253,Which data structure is used in backtracking
+19254,19254,Is backtracking same as recursion
+19255,19255,What is backtracking approach
+19256,19256,What is difference between backtracking and branch and bound
+19257,19257,What is the need of bias in neural network
+19258,19258,What do you mean by quantization process
+19259,19259,What is quantization and its types
+19260,19260,What is the definition of quantized
+19261,19261,How do you do quantization
+19262,19262,What is quantization step
+19263,19263,What does the quantize feature do
+19264,19264,What is quantization formula
+19265,19265,What are quantization levels
+19266,19266,How do you calculate Quantisation error
+19267,19267,How does a logarithmic scale work
+19268,19268,What does logarithmic chart mean
+19269,19269,How do you convert linear log to scale
+19270,19270,How is a logarithmic scale different from a linear scale
+19271,19271,How do you make a logarithmic scale
+19272,19272,How do I get long gamma
+19273,19273,What does beta distribution model
+19274,19274,How do you find the alpha and beta for a gamma distribution
+19275,19275,How do you calculate gamma distribution in Excel
+19276,19276,How do you become a predictive analyst
+19277,19277,How do you do data representation
+19278,19278,What is data representation and its types
+19279,19279,How many types of data representation are there
+19280,19280,What is memory representation What are its types
+19281,19281,Why would you use different representations to display data
+19282,19282,What is the purpose of data visualization
+19283,19283,How data is represented
+19284,19284,What are the types of data representation
+19285,19285,What are the advantages and disadvantages of using random sampling
+19286,19286,When should simple random sampling be used
+19287,19287,What are the disadvantages of sample survey
+19288,19288,What are advantages of cluster sampling
+19289,19289,What is VC dimension in neural network explain with example
+19290,19290,What is a scatterplot and how does it help us
+19291,19291,How do you define a scatter plot
+19292,19292,How do I activate TensorBoard
+19293,19293,How is Jaccard coefficient calculated
+19294,19294,How is matching coefficient calculated
+19295,19295,What do mean by random variable differentiate between discrete random variable & continuous random variable with the help of an example
+19296,19296,Why is a random variable random
+19297,19297,What is the mean of a random variable called
+19298,19298,How do you prove something is a random variable
+19299,19299,Is SVM better than random forest
+19300,19300,What is the application of CNN
+19301,19301,What is CNN discuss various applications of CNN
+19302,19302,What are the application of neural network
+19303,19303,What does data Labelling mean
+19304,19304,What is labeled data in machine learning
+19305,19305,How do I learn data labeling
+19306,19306,How do you label a dataset
+19307,19307,Which approach is used for automatic labeling
+19308,19308,How do you calculate rank rank correlation
+19309,19309,What is the formula of rank difference method
+19310,19310,How do you interpret Spearman's rank correlation
+19311,19311,What is the difference between EMA and MA
+19312,19312,What is the difference between simple moving average and weighted moving average
+19313,19313,What makes a model nonlinear
+19314,19314,What is a non linear regression model
+19315,19315,How do you determine if a linear model is appropriate
+19316,19316,How can you tell the difference between a linear and nonlinear function
+19317,19317,How do you prove something is linear
+19318,19318,What is maximum likelihood estimation in logistic regression
+19319,19319,Why do we use MLE in logistic regression
+19320,19320,What estimation techniques does the logistic regression model use
+19321,19321,What is the difference between VAR and Vecm
+19322,19322,What can we predict using the least squares method
+19323,19323,How do you read the least squares regression line
+19324,19324,What does a least squares regression line tell you
+19325,19325,What does the regression equation predict
+19326,19326,Do Neural networks have memory
+19327,19327,What is the difference between Rand and Randn in Matlab
+19328,19328,What is Numpy Randn
+19329,19329,What is Normrnd Matlab
+19330,19330,How do you choose a clustering method
+19331,19331,Is AlphaGo AI
+19332,19332,Is AlphaZero a neural network
+19333,19333,How is AlphaZero programmed
+19334,19334,Is AlphaZero a reinforcement learning
+19335,19335,What is confidence in association rule mining
+19336,19336,How do you calculate confidence in data mining
+19337,19337,What is the purpose of an eigenvalue
+19338,19338,Where are eigenvalues used
+19339,19339,What do eigenvalues tell us about a matrix
+19340,19340,What is the use of eigenvectors
+19341,19341,What do eigen vectors indicate
+19342,19342,What do the eigenvalues represent
+19343,19343,What do positive eigenvalues mean
+19344,19344,What do eigenvalues tell us about stability
+19345,19345,What do the eigenvalues of a matrix represent
+19346,19346,What is artificial intelligence engineering
+19347,19347,Which is better random forest or logistic regression
+19348,19348,What is the meaning of spectral
+19349,19349,How do you use spectral in a sentence
+19350,19350,What does spectral type mean
+19351,19351,What is a spectral type in astronomy
+19352,19352,What is the definition of spectral
+19353,19353,What is the most common spectral type
+19354,19354,What is optimization and its types
+19355,19355,What are the two types of constraints in constrained optimization
+19356,19356,What optimization means
+19357,19357,What is the difference between predictive analytics and artificial intelligence
+19358,19358,What is the difference between machine learning and predictive analytics
+19359,19359,What is predictive analytics in machine learning
+19360,19360,What do you mean by predictive analysis
+19361,19361,What is the probability of two independent events occurring together
+19362,19362,What happens if two events are independent
+19363,19363,Why we need a function for a random variable
+19364,19364,Is random variable a function or probability
+19365,19365,What do you mean by random variables
+19366,19366,How do you know if a correlation coefficient is significant
+19367,19367,What are overlapping events in probability
+19368,19368,What is the formula for finding the probability of intersecting events
+19369,19369,How do you find the probability of either A or B
+19370,19370,How do you learn linear algebra
+19371,19371,Which is an example of a positive feedback loop quizlet
+19372,19372,Which operation can be used in Gauss Jordan method
+19373,19373,What are the steps of Gauss elimination method
+19374,19374,Can we use column operations in Gauss Jordan method
+19375,19375,Can any system of linear equations be solved by Gaussian elimination
+19376,19376,What is the difference between Gaussian elimination and Gauss Jordan elimination
+19377,19377,What does Gauss Jordan Elimination do
+19378,19378,Why is normal distribution normal
+19379,19379,What does it mean for a sample to be normally distributed
+19380,19380,Why are the mean median and mode of a normal distribution all equal
+19381,19381,How do you determine if a distribution is normal
+19382,19382,How do you know if data is parametric
+19383,19383,What makes data non parametric
+19384,19384,What is the difference between parametric and nonparametric test
+19385,19385,Which of the following is non parametric alternative for the t test
+19386,19386,Is t test parametric or non parametric
+19387,19387,What is the difference between parametric and non parametric
+19388,19388,Whats parametric mean
+19389,19389,What are the differences between parametric and nonparametric tests
+19390,19390,What is an example of a parametric test
+19391,19391,What is the synonym of target
+19392,19392,What is a synonym for off target
+19393,19393,What means target
+19394,19394,What does the word target mean
+19395,19395,What is a target person
+19396,19396,Where is my nearest neighbor algorithm
+19397,19397,What is the cluster sampling method
+19398,19398,What is multi stage cluster sampling
+19399,19399,What is a multistage sampling technique
+19400,19400,Which of these is an example of multi stage sampling
+19401,19401,How do you interpret Pearson correlation coefficient
+19402,19402,How many types of expert systems are there
+19403,19403,What are the different components of the expert system
+19404,19404,How do you know if a linear regression model is good
+19405,19405,What is a good R value in regression
+19406,19406,How do you improve linear regression in R
+19407,19407,How can we determine the best regression line for a set of data
+19408,19408,How do you fit a regression model in R
+19409,19409,Is variation the same as range
+19410,19410,Is Variability a range
+19411,19411,What does variation mean in statistics
+19412,19412,Is the range a measure of center or variation
+19413,19413,How do you find the range
+19414,19414,How do you find the range of sample data
+19415,19415,How do you find the range and standard deviation
+19416,19416,Why is a variance a better measure of variability than the range
+19417,19417,Why is variance positive
+19418,19418,What is the difference between range and variance
+19419,19419,What is the range variance and standard deviation
+19420,19420,What is range of variation
+19421,19421,What is range deviation
+19422,19422,What is model accuracy
+19423,19423,Does regularization increase training error
+19424,19424,What does Fourier transform of a signal how does fourier transform work
+19425,19425,What is Fourier transform used for
+19426,19426,What is the Fourier transform of 1
+19427,19427,How do you solve a Fourier transform example
+19428,19428,What is the Fourier transform of unit step function
+19429,19429,How do you find the Fourier series
+19430,19430,How do you find the Fourier series coefficient of a signal
+19431,19431,How do you find the Fourier transform of a periodic signal
+19432,19432,How is a FFT calculated
+19433,19433,How do you find the FFT of a signal in Matlab
+19434,19434,What is the output of an FFT
+19435,19435,Is stepwise regression multiple regression
+19436,19436,Why is normal distribution so common
+19437,19437,Why the normal distribution shows up so often in nature
+19438,19438,Why is normal distribution continuous
+19439,19439,What causes clumped distribution
+19440,19440,Which is an example of a clumped distribution of a population
+19441,19441,How do you find the X in a frequency distribution
+19442,19442,What is X in frequency distribution table
+19443,19443,How do you find the sample size in a frequency distribution table
+19444,19444,How do you find the mean of X in grouped data
+19445,19445,What is mean in grouped data
+19446,19446,How is mean affected by sample size
+19447,19447,What happens to the sample mean when the sample size increases
+19448,19448,How does sample size affect standard deviation
+19449,19449,Why the standard deviation of the sample mean becomes smaller when the sample size increases
+19450,19450,How does the standard deviation of the sampling distribution change as we change the sample size
+19451,19451,What does a larger sample size do
+19452,19452,What is the difference between large sample and small sample
+19453,19453,What is probability weighted average
+19454,19454,How do you find the weighted mean percentage
+19455,19455,Are machine learning algorithms biased
+19456,19456,Which is example of AI
+19457,19457,What happens if linear regression assumptions are violated
+19458,19458,What do you do when regression assumptions are violated
+19459,19459,What happens if OLS assumptions are violated
+19460,19460,What are the critical assumptions of linear regression
+19461,19461,How do you find the assumption of a linear regression
+19462,19462,Can be used to check the assumptions of the regression model
+19463,19463,How do you test the assumptions of linear regression in SPSS
+19464,19464,How do you test the error of Independence
+19465,19465,What are independent errors
+19466,19466,How do you check if errors are normally distributed
+19467,19467,What is said when the errors are not independently distributed
+19468,19468,What are the assumptions of the error term in a regression model
+19469,19469,What is factor in SPSS
+19470,19470,How do you label factors in factor analysis
+19471,19471,How do you choose a regression model
+19472,19472,How do you use a regression model
+19473,19473,What is the significance of the sampling distribution
+19474,19474,What is the sampling distribution of a statistic and why is it important
+19475,19475,What is the sampling distribution of the means
+19476,19476,How is a sampling distribution created
+19477,19477,What is the mean of the comparison distribution
+19478,19478,What are the properties of the sampling distribution of the mean
+19479,19479,How can you tell if two events are independent using conditional probability
+19480,19480,For what value of P B will A and B be independent
+19481,19481,What is a non linear activation function
+19482,19482,Why we use an activation function in a Multilayer Perceptron
+19483,19483,Why are neural networks nonlinear
+19484,19484,Which of the following is non linearity to neural network
+19485,19485,What is an eigen value and eigen vector
+19486,19486,How do you calculate eigenvectors
+19487,19487,What is the shortcut to find eigenvalues
+19488,19488,How do you find eigenvectors of a 3x3 matrix
+19489,19489,How do you find the eigenvalues of a 3 by 3 matrix
+19490,19490,How do you calculate eigenvalues and eigenvectors
+19491,19491,Does cluster sampling use precincts
+19492,19492,What does cluster sampling mean
+19493,19493,What is the purpose of chi square goodness of fit test
+19494,19494,What is the difference between goodness of fit and test of independence
+19495,19495,What is evaluated by the chi square test for goodness of fit quizlet
+19496,19496,Why is a chi square goodness of fit test always a right tailed test
+19497,19497,What is a chi square goodness of fit test
+19498,19498,How is the chi square independence test similar to the goodness of fit test
+19499,19499,Why is the phrase goodness of fit used to describe the type of hypothesis test considered in this section
+19500,19500,What is the purpose of testing residuals
+19501,19501,What does the standard deviation of residuals tell you
+19502,19502,What does the residual mean
+19503,19503,What is meant by the residual for the i th observation in linear regression
+19504,19504,What standardized residual
+19505,19505,What is the major advantage of a standardized multiple regression equation
+19506,19506,What is the purpose of regression analysis quizlet
+19507,19507,What is elbow method in K means
+19508,19508,What are the different types of cluster analysis
+19509,19509,What are clustering techniques
+19510,19510,What are the types of random error
+19511,19511,What does GLM stand for in R
+19512,19512,Is linear regression the same as logistic regression
+19513,19513,How do you identify a pattern
+19514,19514,What does it mean when you see patterns
+19515,19515,What is meant by variable or variate
+19516,19516,What does variate mean
+19517,19517,What is the symbol for a variate
+19518,19518,What is meant by variable class 11
+19519,19519,What is the means of variable
+19520,19520,What is the meaning of variable in research
+19521,19521,When the test statistic is more extreme than the critical value
+19522,19522,How do you interpret critical t distribution
+19523,19523,What does it mean if the T value is greater than the critical value
+19524,19524,How many inputs are required for K means clustering
+19525,19525,What is the need of clustering
+19526,19526,What are the requirements for cluster analysis explain briefly
+19527,19527,Which of the following is required for K means clustering
+19528,19528,What is K means clustering good for
+19529,19529,Which statement is true about K means clustering algorithm
+19530,19530,What is sampling and why is it used
+19531,19531,What is the purpose of sampling quizlet
+19532,19532,Why should a sample represent the population
+19533,19533,What are the advantages of sample over population
+19534,19534,Why do we use samples
+19535,19535,What is embedding in NLP
+19536,19536,What is Word2vec in NLP
+19537,19537,How do you analyze clusters
+19538,19538,How do you interpret a Dendrogram in cluster analysis
+19539,19539,What do you mean by cluster analysis
+19540,19540,What does clustering mean
+19541,19541,How is clustering performance measured
+19542,19542,What measures the goodness of a cluster
+19543,19543,How is the quality of a cluster measured
+19544,19544,Why is my covariance matrix not positive definite
+19545,19545,What tests are appropriate for investigating the associations between two categorical variables
+19546,19546,Is Chi square an inferential test
+19547,19547,How do you compare categorical variables in SPSS
+19548,19548,How do you analyze two categorical variables
+19549,19549,How do I combine two categorical variables in SPSS
+19550,19550,Which distance is used in Knn
+19551,19551,Which distance metric is used in Knn
+19552,19552,When should you use a one tailed test over a two tailed test
+19553,19553,Are chi square tests one tailed
+19554,19554,Are chi square test two tailed
+19555,19555,Should I do one tailed or two tailed test
+19556,19556,Do you have more power with a one tailed test or a two tailed test
+19557,19557,Does a two tailed test increase power
+19558,19558,Is it good to reject the null hypothesis
+19559,19559,Which Alpha level is most difficult to reject the null hypothesis
+19560,19560,What is the probability of rejecting the null hypothesis
+19561,19561,What is rejecting the null hypothesis when it is true
+19562,19562,How do you test an algorithm
+19563,19563,What is data analysis in data science
+19564,19564,Is regression analysis a parametric test
+19565,19565,What are parameters in linear regression
+19566,19566,What is parametric modeling in BIM
+19567,19567,When should you not use standard deviation
+19568,19568,Is standard error and standard error of the mean the same
+19569,19569,Is standard error the same as sample standard deviation
+19570,19570,What is reinforcement learning based on
+19571,19571,Why is machine learning important in AI
+19572,19572,What is the role of machine learning in AI
+19573,19573,Is machine learning part of artificial intelligence
+19574,19574,What is AI but not machine learning
+19575,19575,Which is better machine learning or artificial intelligence
+19576,19576,What is Bayes rule in statistics
+19577,19577,How do you perform a one sample t test
+19578,19578,What is a good sample size for t test
+19579,19579,How do you do a two sample t test
+19580,19580,What is a 2 sided t test
+19581,19581,What is a two sample t interval
+19582,19582,How do you find the confidence interval for a one sample t test
+19583,19583,What is 2x2 binning
+19584,19584,What does inference mean in deep learning
+19585,19585,Is pert a beta distribution
+19586,19586,What is the difference between triangular distribution and beta distribution
+19587,19587,What is the purpose of random assignment to groups
+19588,19588,Why is random selection important in experiments
+19589,19589,Why is it important to randomly assign treatment and control groups
+19590,19590,Which type of research design involves the random assignment of subjects into two or more groups
+19591,19591,How is distributor margin calculated in FMCG
+19592,19592,What are the qualities of a good estimate
+19593,19593,What skills do you need to be an estimator
+19594,19594,What does an estimator do
+19595,19595,What are the properties of an estimator
+19596,19596,What are the two measures of a good estimator
+19597,19597,What are the requirements of an estimator
+19598,19598,What are the duties of an estimator
+19599,19599,How can I be a good estimator
+19600,19600,How is Lorenz curve calculated
+19601,19601,What shifts the Lorenz curve
+19602,19602,Why is Lorenz Curve important
+19603,19603,How do you read a Lorenz curve
+19604,19604,What is required to construct a Lorenz curve
+19605,19605,What does a Lorenz curve illustrate
+19606,19606,What is the relationship between the Lorenz
+19607,19607,What does a 2 tailed test mean
+19608,19608,How do you interpret a two tailed p value
+19609,19609,How do you solve AI bias
+19610,19610,What is dataset related bias in AI
+19611,19611,Is convenience sampling the same as random sampling
+19612,19612,What is random sampling and convenient sampling
+19613,19613,What is random sampling why is it used and how does it compare with convenience sampling
+19614,19614,What kind of sampling is convenience sampling
+19615,19615,What is the difference between convenience sampling and purposive sampling
+19616,19616,How do you show that an operator is linear
+19617,19617,Is integration a linear transformation
+19618,19618,Is integration a linear operation
+19619,19619,How do you know if a transformation is linear or not
+19620,19620,How does deep learning determine Overfitting
+19621,19621,What is local search in artificial intelligence
+19622,19622,What is hill climbing search technique
+19623,19623,What are the problems associated with hill climbing algorithm
+19624,19624,What is the difference between simple hill generate and test algorithm climbing
+19625,19625,What is meant by local search
+19626,19626,What is a key advantage of local search algorithm
+19627,19627,Is local search a greedy algorithm
+19628,19628,What are the main limitations of hill climbing search
+19629,19629,What is image caption generator
+19630,19630,Can we use RNN for classification
+19631,19631,How do I get a random variable from a PDF
+19632,19632,What does independent and dependent mean in math probability
+19633,19633,What makes events independent dependent give an example of each
+19634,19634,What is the difference between relative frequency and frequency
+19635,19635,How do you compare relative frequency
+19636,19636,How do you calculate frequency and relative frequency
+19637,19637,How do you explain relative frequency
+19638,19638,What is the essential difference between a frequency distribution and a probability distribution
+19639,19639,What is the difference between frequency and probability
+19640,19640,How accurate is the QuantiFERON gold test
+19641,19641,What does it mean if QuantiFERON test is negative
+19642,19642,Is QuantiFERON more accurate than PPD
+19643,19643,What does it mean if I have a positive QuantiFERON test
+19644,19644,What is a multivariable regression model
+19645,19645,What happens to the shape of a sampling distribution of sample means as n increases
+19646,19646,What does N mean in sampling distribution
+19647,19647,What is the shape of the sampling distribution of the sample mean why
+19648,19648,How does the size of a sample influence the shape of the distribution
+19649,19649,How does sample size affect
+19650,19650,What happens if sample size is too large
+19651,19651,Does the spread of the sampling distribution change as the sample size increases
+19652,19652,How does the shape of the original distribution affect the accuracy of the sample mean
+19653,19653,How does increasing the sample size affect the standard error of the sampling distribution
+19654,19654,What determines sampling distribution
+19655,19655,How do you convert hazard ratio to percentage
+19656,19656,What is the probability of getting a factor of 6 on a dice
+19657,19657,What happens in backpropagation
+19658,19658,How do you find the sum of squared deviations from the mean
+19659,19659,What is the sum of deviations from the mean
+19660,19660,How do you find the sum of deviations
+19661,19661,What is the sum of the deviations from the mean
+19662,19662,How do you calculate the deviations of the data values from the mean
+19663,19663,How do you find the sum of absolute deviations from the mean
+19664,19664,What is an ROC curve and what does it tell us
+19665,19665,What is the output of sigmoid function
+19666,19666,How do you derive logistic equations
+19667,19667,What is the derivative of sigmoid function
+19668,19668,How do you find the derivative of an exponential function
+19669,19669,Why is the derivative of an exponential function itself
+19670,19670,Are exponential functions differentiable
+19671,19671,What is the derivative of E 2x
+19672,19672,Is repeated measures Anova robust to violations of normality
+19673,19673,How do you write a null hypothesis for a one way Anova
+19674,19674,What is the null hypothesis for a two way Anova
+19675,19675,What is the null hypothesis for at test
+19676,19676,What is independent measures design
+19677,19677,What is the definition of an independent variable
+19678,19678,What is artificial intelligence used for
+19679,19679,How is Artificial Intelligence changing the world
+19680,19680,How do you find the sum of squares with variance
+19681,19681,What is the sum of squared differences
+19682,19682,Which is better standard deviation or variance
+19683,19683,Why variance is used instead of standard deviation
+19684,19684,What is the relationship between variance and standard deviation quizlet
+19685,19685,What does S stand for in statistics
+19686,19686,What is σ in statistics
+19687,19687,How do you find the standard deviation of S
+19688,19688,How do you know if Sigma is known or unknown
+19689,19689,Is sum of squares the same as variance
+19690,19690,What does sum of squared deviations mean
+19691,19691,Can you sum standard deviations
+19692,19692,Is SVM linear classifier
+19693,19693,How is random sampling carried out
+19694,19694,How is random selection done
+19695,19695,What are the requirements of a random sample
+19696,19696,What are linear phase filters
+19697,19697,Are IIR filters linear
+19698,19698,What is the image in linear algebra
+19699,19699,What is stimulus generalization quizlet
+19700,19700,What is a generalization gradient
+19701,19701,What does a flat generalization gradient mean
+19702,19702,When the S+ and S differ only in terms of one stimulus feature the training procedure is called
+19703,19703,When generalization occurs what happens
+19704,19704,What is a response generalization
+19705,19705,What is response generalization in ABA
+19706,19706,What is the difference between stimulus and response generalization
+19707,19707,What is Q in Kalman filter
+19708,19708,What is an unscented Kalman filter
+19709,19709,What is process noise
+19710,19710,Why Kalman filter is used
+19711,19711,What is covariance matrix in Kalman filter
+19712,19712,What is Gaussian distribution in machine learning
+19713,19713,What is Gaussian distribution of data
+19714,19714,What Gaussian prior
+19715,19715,How do you find the alpha in statistics
+19716,19716,Are P value and alpha the same thing
+19717,19717,How do you calculate beta in statistics
+19718,19718,What is beta β error used to measure
+19719,19719,What is a beta risk
+19720,19720,What is beta error in statistics
+19721,19721,How Alpha and beta are related
+19722,19722,What does alpha and beta mean in statistics
+19723,19723,What does beta represent in statistics
+19724,19724,Does increasing alpha decrease beta
+19725,19725,How do you find the value of alpha and beta
+19726,19726,What is the value of the Alpha Beta
+19727,19727,What is alpha value
+19728,19728,What is the value of β
+19729,19729,What are the advantages and disadvantages of KNN algorithm
+19730,19730,What are targets in machine learning
+19731,19731,What is the concept of machine learning
+19732,19732,What does the standard deviation tell us
+19733,19733,What do standard deviation error bars show
+19734,19734,What is the difference between a between subjects Anova and a repeated measures Anova
+19735,19735,Why is repeated measures Anova more powerful
+19736,19736,What is the primary advantage of the repeated measures Anova compared to the between subjects Anova
+19737,19737,What is an independent measure
+19738,19738,What is repeated measures in statistics
+19739,19739,What is meant by backpropagation
+19740,19740,What is the meaning of gradient descent
+19741,19741,How many units is the hidden layer
+19742,19742,Which is a type of loss function used in CNN
+19743,19743,Which cost function is used in neural network
+19744,19744,Are categorical variables discrete
+19745,19745,How do we handle categorical variables in decision trees
+19746,19746,Should I learn data structures first or algorithms
+19747,19747,Is it important to learn data structures and algorithms
+19748,19748,Should I learn data structures before algorithms
+19749,19749,Is data structures hard to learn
+19750,19750,How do you do dependent events
+19751,19751,What is the probability of A or B if they are independent
+19752,19752,What makes something independent in probability
+19753,19753,Why is learning adaptive
+19754,19754,What is adaptive teaching
+19755,19755,What is meant by adaptive learning
+19756,19756,What is adaptive machine learning
+19757,19757,What can cause a false positive pregnancy test
+19758,19758,What is a false positive vs false negative
+19759,19759,What is sparse categorical cross entropy
+19760,19760,What does From_logits mean
+19761,19761,What is From_logits
+19762,19762,What is Softmax_cross_entropy_with_logits
+19763,19763,What is an example of an independent event in probability
+19764,19764,What are independent events examples
+19765,19765,Are the two events independent
+19766,19766,What does it mean when 2 events are independent
+19767,19767,How do you find the probability of two dependent events
+19768,19768,How does K mean clustering works explain with example
+19769,19769,Why do we do clustering
+19770,19770,What is LDA or what does LDA stand for
+19771,19771,What is Univariate statistical analysis
+19772,19772,How are vectors used in machine learning
+19773,19773,What is the difference between vector space and linear space
+19774,19774,How do you tell if a vector is a subspace
+19775,19775,Why vector space is called linear space
+19776,19776,How do you prove that V is a vector space
+19777,19777,Why is serial correlation a problem
+19778,19778,What is time series correlation
+19779,19779,How can the problem of autocorrelation be overcome
+19780,19780,What do we know about patterns
+19781,19781,What is the meaning of patterns
+19782,19782,Why convolutional neural network is used
+19783,19783,What is factor analysis in research PDF
+19784,19784,Is it more likely to get a false positive or false negative pregnancy test
+19785,19785,What does Z mean in probability
+19786,19786,What is probability factor Z
+19787,19787,What does a Z mean
+19788,19788,What does it mean when Z score is 0
+19789,19789,Why does a normal distribution have a mean of 0
+19790,19790,What z score always corresponds to the mean
+19791,19791,What is an example of a learning strategy
+19792,19792,Why do we use decision tree
+19793,19793,What is decision tree and its importance
+19794,19794,What is a spatial problem
+19795,19795,What causes problems with spatial awareness
+19796,19796,What problems can GIS solve
+19797,19797,What are the disadvantages of GIS
+19798,19798,Why GIS can be difficult to define
+19799,19799,What are data mining process
+19800,19800,What is the other name for data mining
+19801,19801,What is the difference between database processing and data mining processing
+19802,19802,What does a large P value indicate
+19803,19803,Is D the same as Delta
+19804,19804,Is dy dx the same as derivative
+19805,19805,What is the difference between DT and Delta T
+19806,19806,How do you define predictive Modelling
+19807,19807,What is predictive Modelling in data science
+19808,19808,What does the value sigma mean
+19809,19809,Where does Sigma come from
+19810,19810,What does the Greek word sigma mean
+19811,19811,What does the σ mean
+19812,19812,What are central moments in statistics
+19813,19813,How do you find the central moment
+19814,19814,What is non central moment
+19815,19815,What is the difference between deductive and inductive learning
+19816,19816,What is inductive and deductive method with examples
+19817,19817,What is deductive and inductive learning
+19818,19818,How do you do a negative binomial distribution in Excel
+19819,19819,What does randomized mean
+19820,19820,What does randomisation mean in research
+19821,19821,How is risk measured
+19822,19822,Is neural network supervised or unsupervised learning why
+19823,19823,What does Rabin and Karp algorithm do
+19824,19824,What is the basic principle of Rabin Karp algorithm
+19825,19825,What is the complexity of Rabin Karp algorithm
+19826,19826,Which of the following pre processing is used by Rabin Karp string matching algorithm
+19827,19827,What are hash values
+19828,19828,What is another word for nonlinear
+19829,19829,What is an example of a nonlinear function
+19830,19830,What are some real life examples of linear functions
+19831,19831,Which functions are not linear
+19832,19832,What would be the mean of the sampling distribution of sample means
+19833,19833,How do I save and load a TensorFlow model
+19834,19834,How do you save a TensorFlow model
+19835,19835,How can we save deep learning models
+19836,19836,How can we save the machine learning model
+19837,19837,How do I save a model in TensorFlow keras
+19838,19838,How do I save CNN model in TensorFlow
+19839,19839,How do you find the number of elements in a matrix in Matlab
+19840,19840,What is the formula for average
+19841,19841,What is the average of 80
+19842,19842,How do you change the size of a matrix in Matlab
+19843,19843,How do you reshape a matrix
+19844,19844,How do you define the size of a matrix
+19845,19845,How do you find the mean of an image
+19846,19846,What is median of a matrix
+19847,19847,How do you find the mean of a matrix in R
+19848,19848,How is weight calculated in neural networks
+19849,19849,How weights are updated in CNN
+19850,19850,What is a bias in CNN
+19851,19851,What is interval scale with example
+19852,19852,What is the difference between R and R squared correlation coefficient
+19853,19853,How do you find the correlation coefficient with R Squared
+19854,19854,What does the R 2 value mean
+19855,19855,Is R 2 the same as R
+19856,19856,What is the sample correlation coefficient
+19857,19857,What are effective learning strategies
+19858,19858,What causes learning gaps
+19859,19859,What are the learning gaps
+19860,19860,How do you identify gaps in learning
+19861,19861,How do you fill in learning gaps
+19862,19862,What is symmetric data in statistics
+19863,19863,How many types of moments are there
+19864,19864,What are the two types of moments
+19865,19865,What are first and second moments
+19866,19866,What is a moment in statistics
+19867,19867,What is Moment analysis
+19868,19868,What does Moments mean in statistics
+19869,19869,What are the types of moments
+19870,19870,How do you take moments
+19871,19871,Why is spark used
+19872,19872,Why is spark better than Hadoop
+19873,19873,How much data can spark handle
+19874,19874,How do you solve Turing machine problems
+19875,19875,How did the Turing machine work
+19876,19876,Is scaling important for logistic regression
+19877,19877,What is an example of a statistical question
+19878,19878,How data can be misinterpreted
+19879,19879,Who uses neural networks
+19880,19880,What is optimization function in machine learning
+19881,19881,What is variability in a box plot
+19882,19882,What measures of variability are used when comparing box plots
+19883,19883,How do you know which Boxplot has more dispersion
+19884,19884,How do you find the variability
+19885,19885,How do you describe the spread of a Boxplot
+19886,19886,How do you analyze statistical survey data
+19887,19887,What statistical tools of analysis are used in survey research
+19888,19888,What is the most commonly used statistical method for analyzing data
+19889,19889,What are statistical measures
+19890,19890,Which tests are being used for data analysis
+19891,19891,What is the appropriate statistical test to analyze the data from the study
+19892,19892,What is the best statistical test to use
+19893,19893,What are the types of statistical data analysis
+19894,19894,How do you find the input and output of a function
+19895,19895,Where is the input and output
+19896,19896,How do you know if input and output is a function
+19897,19897,How do you solve the input of a function given the output
+19898,19898,What is input and output variables
+19899,19899,What are the input variables
+19900,19900,What is the input and output of a function
+19901,19901,How many levels can a dependent variable have
+19902,19902,What's the difference between continuous and discrete
+19903,19903,Are dates interval data
+19904,19904,Should a frequency distribution always have equal class intervals
+19905,19905,How do you find the mean of unequal class intervals
+19906,19906,What is equal class interval
+19907,19907,What does the slope of a simple regression line represent
+19908,19908,What is a best fit regression line
+19909,19909,How do you find the line of best fit for linear regression
+19910,19910,What is distributed ML
+19911,19911,What is the high level API that allows for distributed training in TensorFlow
+19912,19912,How do I know if TensorFlow is imported correctly
+19913,19913,How do you categorize text data
+19914,19914,What is the complement rule in statistics
+19915,19915,How can a decision tree be used in decision making
+19916,19916,How do I import a decision tree in Sklearn
+19917,19917,How does Sklearn decision tree work
+19918,19918,How do you plot a decision tree in Sklearn
+19919,19919,How do you use classifier in decision tree
+19920,19920,How do you find the margin of error in statistics
+19921,19921,What is the margin of error in statistics and why is it important
+19922,19922,Is margin of error the same as standard deviation
+19923,19923,How do you find standard error on a TI 84
+19924,19924,How do you find the margin of error on a TI 83
+19925,19925,What is a response variable
+19926,19926,What is the purpose of variance analysis
+19927,19927,Why do we add variances
+19928,19928,What is the importance of mean variance and standard deviation in research
+19929,19929,What is the average variance
+19930,19930,What is Fourier series
+19931,19931,What is Fourier Series formula
+19932,19932,What is the use of Fourier series in signals and systems
+19933,19933,How is Fourier series used
+19934,19934,How does Fourier series make it easier to represent periodic signals
+19935,19935,What is Fourier Transform and its application
+19936,19936,What is a covariant variable
+19937,19937,What is difference between variance and covariance
+19938,19938,What is the covariance of a vector
+19939,19939,What is the covariance of a random variable with itself
+19940,19940,What is the error function used in the backpropagation algorithm
+19941,19941,What is backpropagation learning
+19942,19942,Is backpropagation a linear algorithm
+19943,19943,How do you interpret quartile results
+19944,19944,How do you interpret the median and interquartile range
+19945,19945,How do you interpret a range
+19946,19946,What does a large range mean
+19947,19947,How do you determine if something is statistically significant
+19948,19948,Which machine learning algorithms is best for continuous data
+19949,19949,How do you find dependent events
+19950,19950,How do you determine if an event is independent
+19951,19951,Can median mean average
+19952,19952,How do you find the median
+19953,19953,Is AMD GPU good for machine learning
+19954,19954,What is meant by sample in statistics
+19955,19955,What's a sample study
+19956,19956,What is a sample vs population
+19957,19957,What is back propagation in AI
+19958,19958,What FFT means
+19959,19959,What are the applications of Fourier series
+19960,19960,What are the benefits of FFT in signal processing
+19961,19961,What is FFT power spectrum
+19962,19962,What are the statistical analysis tools
+19963,19963,What are statistical techniques
+19964,19964,What are the types of statistical analysis
+19965,19965,Why is it called bag of words representation
+19966,19966,What is a word vector
+19967,19967,What is word vector in NLP
+19968,19968,How does word2vec deal with unknown words
+19969,19969,What are the elements that make up a trend
+19970,19970,What does it mean to trend
+19971,19971,How do trends start
+19972,19972,What is induction in data mining
+19973,19973,What is label in deep learning
+19974,19974,Why accuracy is not a good measure for classification models
+19975,19975,What are the methods to evaluate accuracy of classifier predictor
+19976,19976,Which metrics can be used to evaluate the accuracy of a classification model
+19977,19977,Which of the following metrics are used to evaluate classification models
+19978,19978,Which evaluation metrics are commonly used for evaluating the performance of a classification model when there is a class imbalance problem
+19979,19979,What is feature extraction techniques in image processing
+19980,19980,What is a good AUC for Roc
+19981,19981,What is data scaling in machine learning
+19982,19982,How do you scale a dataset
+19983,19983,How do you normalize data for machine learning
+19984,19984,Why do we scale data in machine learning
+19985,19985,What does scaling mean in machine learning
+19986,19986,What is scaling in deep learning
+19987,19987,What's considered a large sample size
+19988,19988,What is smallest sample size for normal distribution
+19989,19989,How will artificial intelligence change the future in society
+19990,19990,What are the advantages of artificial intelligence on society
+19991,19991,How many hidden layers do neurons use in artificial neural networks
+19992,19992,How many hidden neurons are there
+19993,19993,Why is sigmoid used
+19994,19994,Which activation function is the most commonly used in neural networks
+19995,19995,What is an activation function in neural networks
+19996,19996,What is polynomial regression in machine learning
+19997,19997,What is polynomial regression used for
+19998,19998,What is the difference between linear regression and polynomial regression
+19999,19999,How do you know if a regression line is linear or nonlinear
+20000,20000,Why do we use polynomial regression
+20001,20001,How do you fit a regression equation
+20002,20002,Where do we use polynomial regression
+20003,20003,Do you want a high or low correlation
+20004,20004,Why is random forest better than logistic regression
+20005,20005,What is the purpose of filtering data
+20006,20006,What do you mean by filtering in computer
+20007,20007,What is cluster analysis good for
+20008,20008,How do you read mutual information scores
+20009,20009,Can relative entropy negative
+20010,20010,How do you calculate mutual information
+20011,20011,Why kNN is called lazy algorithm
+20012,20012,What is the main difference between cluster sampling and stratified sampling
+20013,20013,What is meant by cluster sampling
+20014,20014,What are the advantages of random forests over decision tree
+20015,20015,How do you determine independence in statistics
+20016,20016,How do you know if two discrete random variables are independent
+20017,20017,What are the types of parameters
+20018,20018,What parameter means
+20019,20019,How do you find the parameter
+20020,20020,What are arguments and parameters How are these two terms different give example
+20021,20021,What is experimental and control group
+20022,20022,What do you mean by control group
+20023,20023,What do you mean by experimental group
+20024,20024,What is the difference between the control group and the experimental group in an experimental study
+20025,20025,What is feature creation in machine learning
+20026,20026,How do you Linearize data
+20027,20027,How do you Linearize quadratic data
+20028,20028,What does it mean to linearize data
+20029,20029,What is ensemble data
+20030,20030,How is naive Bayes calculated
+20031,20031,What is Monte Carlo tree and why it is used in Deepmind
+20032,20032,Is MCTS learning reinforcement
+20033,20033,Is Monte Carlo simulation machine learning
+20034,20034,What happens in an NLP session
+20035,20035,What is NLP explain
+20036,20036,What is the process of NLP
+20037,20037,What are the types of NLP
+20038,20038,Where NLP can be useful
+20039,20039,What are the main challenge s of NLP from below options
+20040,20040,How do you approach problems in NLP
+20041,20041,What are standardized residuals
+20042,20042,What is the difference between standardized and unstandardized coefficients
+20043,20043,What is the difference between B and β
+20044,20044,What are standard residuals
+20045,20045,Is standard error the same as residual
+20046,20046,What is a large Studentized residual
+20047,20047,What does the residual value mean in statistics
+20048,20048,Is the mean of residuals zero
+20049,20049,How do you interpret residual output
+20050,20050,What is learning in neural network
+20051,20051,What is the effect of learning rate in neural network
+20052,20052,Is neural network part of deep learning
+20053,20053,What is B in neural network
+20054,20054,What is the difference between statistics and data analysis
+20055,20055,What is data and statistics
+20056,20056,What is the difference between data analysis and data analytics
+20057,20057,What is the difference between data and analytics
+20058,20058,What is the difference between analysis and analysis
+20059,20059,Is Data Analytics the same as statistics
+20060,20060,Do data analysts use statistics
+20061,20061,What is the difference between statistics and statistic
+20062,20062,Which are the two types of data
+20063,20063,What is annealing in AI
+20064,20064,Is simulated annealing local search
+20065,20065,What is training and inference
+20066,20066,What is AI inferencing
+20067,20067,What is training in artificial intelligence
+20068,20068,What is neural network inference
+20069,20069,What is inference training
+20070,20070,How do you distinguish between univariate and multivariate statistics
+20071,20071,How do you interpret statistical data
+20072,20072,Can you only use z score for normal distribution
+20073,20073,What is an advantage of using z scores
+20074,20074,Can you see any advantages of using a standard normal distribution with Z scores
+20075,20075,Why are z scores used as the basis for determining Pearson r
+20076,20076,Why do we convert raw scores to z scores
+20077,20077,When you convert raw scores to Z scores what happens to the shape of the distribution
+20078,20078,What is good learning rate for Adam
+20079,20079,Does Adam adjust learning rate
+20080,20080,How can you tell if information is biased
+20081,20081,What makes a source biased
+20082,20082,Why is decision tree supervised
+20083,20083,Is decision tree Parametric
+20084,20084,What are the properties of OLS estimators
+20085,20085,How many types of regression are there
+20086,20086,What is simple linear regression and multiple linear regression
+20087,20087,What is sampling and different types of sampling
+20088,20088,What is the convolution theorem for Fourier Transform
+20089,20089,What is convolution in Laplace transform
+20090,20090,Why do we use linear regression
+20091,20091,What do you use a box plot for
+20092,20092,How do you match a histogram to a Boxplot
+20093,20093,How does a histogram compare to a Boxplot
+20094,20094,What does a histogram show that a Boxplot does not
+20095,20095,How do you match a box plot to a histogram
+20096,20096,What are the advantages of using a box plot
+20097,20097,How do you find expectation from a moment generating function
+20098,20098,How do you find the expected value of a function
+20099,20099,What if validation loss is less than training loss
+20100,20100,How do you test face validity
+20101,20101,How do you ensure a test is valid and reliable
+20102,20102,What can CNN be used for
+20103,20103,What is a normal distribution chart
+20104,20104,How do you read a normal distribution
+20105,20105,How do you analyze a distribution
+20106,20106,How do you interpret a distribution curve
+20107,20107,What is the mean of a normal distribution
+20108,20108,How do you create a machine learning model
+20109,20109,What is sigmoid activation function in neural network
+20110,20110,What does a standard deviation close to 0 mean
+20111,20111,What is the lowest standard deviation
+20112,20112,Is it possible to create a data set where the standard deviation is zero
+20113,20113,What does a standard error of 0 mean
+20114,20114,Why do we use sample standard deviation
+20115,20115,What's the difference between union and intersection
+20116,20116,How do you find the union of A and B
+20117,20117,What does AUB and AnB mean
+20118,20118,How do you find the union of two independent events
+20119,20119,How do you find the union and intersection
+20120,20120,What are the different methods of probability and Nonprobability sampling
+20121,20121,What is non probability sampling PDF
+20122,20122,What are the differences between random and nonrandom sampling
+20123,20123,What are the types of non probability sampling
+20124,20124,What is difference between probability and Nonprobability sampling
+20125,20125,What are the main types of frequency distribution curve
+20126,20126,What do you mean by frequency distribution
+20127,20127,What is frequency in statistics PDF
+20128,20128,How do you interpret log transformed data
+20129,20129,What do you mean by ensemble
+20130,20130,In which condition we use OLS regression
+20131,20131,What is ordinary least squares used for
+20132,20132,Does regression assume normal distribution
+20133,20133,What does mean square tell
+20134,20134,What is computed by MSE in ML
+20135,20135,Why is MSE used
+20136,20136,Is regression to the mean real
+20137,20137,What is linear model example
+20138,20138,When a linear model is appropriate
+20139,20139,What is calibration and validation
+20140,20140,What is meant by model validation
+20141,20141,What are the different calibration methodologies
+20142,20142,What is calibration technique
+20143,20143,What are the types of calibration
+20144,20144,What type of equipment requires calibration
+20145,20145,What type of data is used in facial recognition
+20146,20146,Is facial recognition considered AI
+20147,20147,How do you do face tracking
+20148,20148,What is facial tracking
+20149,20149,How do cameras detect faces
+20150,20150,Why binary search algorithm is best
+20151,20151,When would it be ideal to use linear searching
+20152,20152,What is one advantage linear search has over binary search
+20153,20153,In which of the following cases linear search is preferred
+20154,20154,Which searching technique is best and why
+20155,20155,What is GLS econometrics
+20156,20156,What is GLS R
+20157,20157,What is the difference between GLM and GLM
+20158,20158,What is anchor in object detection
+20159,20159,What is Anchor machine learning
+20160,20160,How do you find the optimal value in standard form
+20161,20161,Is a histogram a distribution
+20162,20162,Is a probability distribution always a normal distribution
+20163,20163,What is the formula for the mean of a probability distribution
+20164,20164,What major is for AI
+20165,20165,What do you study for artificial intelligence
+20166,20166,What is Artificial Intelligence degree
+20167,20167,How do you show K means clustering
+20168,20168,How do you plot K means clusters in R
+20169,20169,How do you select K for K means
+20170,20170,How do you choose variables in cluster analysis
+20171,20171,What does K mean in R
+20172,20172,How do you plot K in R
+20173,20173,How do you evaluate K means clustering in R
+20174,20174,Is logistic regression a binary classification
+20175,20175,What is binary logistics regression
+20176,20176,Is F distribution continuous
+20177,20177,What are the properties of the F distribution
+20178,20178,Why is regression used
+20179,20179,How does a regression analysis work
+20180,20180,When can we use regression analysis
+20181,20181,What is the meaning of multiple regression analysis
+20182,20182,What is multiple linear regression explain with example
+20183,20183,What are the input and output functions
+20184,20184,What is the input value of a function
+20185,20185,Which test is called non parametric test
+20186,20186,Is chi square test quantitative or qualitative
+20187,20187,Is chi square test two tailed
+20188,20188,Is logistic regression analysis quantitative research
+20189,20189,How do you factor a binomial with two variables
+20190,20190,How do you factor an expression with 2 terms
+20191,20191,How do you solve binomial equations
+20192,20192,What is the product of 2 Binomials
+20193,20193,How do you factor Binomials
+20194,20194,How do you factor step by step
+20195,20195,How do you solve a binomial equation by factoring
+20196,20196,What do you mean by term agents in artificial intelligence classify the various types of agents
+20197,20197,What are the different types of agents
+20198,20198,What does hierarchical clustering produce
+20199,20199,How do you think clusters will be made using hierarchical algorithm on this data
+20200,20200,What values can covariance take
+20201,20201,Why covariance matrix is used in PCA
+20202,20202,Can we use the correlation matrix instead of covariance matrix when we perform PCA
+20203,20203,What causes the population to change
+20204,20204,What factors affect population size
+20205,20205,What factors cause population change
+20206,20206,How do you compare correlations between groups in SPSS
+20207,20207,How do you find multiple correlation in SPSS
+20208,20208,What are supervised and unsupervised techniques
+20209,20209,What does it mean for a test to be robust
+20210,20210,Why normal distribution is called Gaussian
+20211,20211,Is Gaussian distribution normal
+20212,20212,What is another name for Gaussian distribution
+20213,20213,Is a Gaussian distribution the same as a normal distribution
+20214,20214,Why is a normal distribution normal
+20215,20215,How did normal distribution get its name
+20216,20216,What is the concept of normal distribution
+20217,20217,What is the difference between normal distribution and standard distribution
+20218,20218,What is the use of standard normal distribution
+20219,20219,What is Neural Network Toolbox in Matlab
+20220,20220,How is Machine Learning implemented in Matlab
+20221,20221,How are neural networks implemented
+20222,20222,How do you describe a Boxplot spread
+20223,20223,How many types of machine learning models are there
+20224,20224,What are machine learning models
+20225,20225,What is the correlation between 2 variables
+20226,20226,How do you find the correlation between two means
+20227,20227,What can clustering be used for
+20228,20228,How do you interpret a cluster analysis dendrogram
+20229,20229,Which of the following are advantages of K means clustering
+20230,20230,Why do we use non standard units of measurement
+20231,20231,What are non standard units of measurement
+20232,20232,What are the benefits of using non standard units of measurement
+20233,20233,What are standard units in statistics
+20234,20234,What are the non standard unit of length
+20235,20235,What are standard units of measure
+20236,20236,What are informal units
+20237,20237,What is Bayesian network used for
+20238,20238,What is the use of spectral analysis
+20239,20239,What spectrum means
+20240,20240,Why are spectra helpful in identifying elements in stars
+20241,20241,What properties can you determine about a star from its spectrum
+20242,20242,Is CNN unsupervised learning
+20243,20243,What is meant by supervised learning and unsupervised learning
+20244,20244,What factors affect correlation
+20245,20245,Does normalization change correlation
+20246,20246,What are correlated variables
+20247,20247,What is R and P in correlation
+20248,20248,What does P mean in correlation
+20249,20249,What does R mean in correlation
+20250,20250,What is r and p value
+20251,20251,What are the disadvantages of KNN
+20252,20252,What is the advantage of K nearest neighbor method
+20253,20253,What are the difficulties with K Nearest Neighbor algorithm
+20254,20254,How do you compare two sentences in Python
+20255,20255,How do you calculate the product moment correlation coefficient
+20256,20256,What is product moment correlation coefficient mean
+20257,20257,What is the formula of product moment method
+20258,20258,Is df the same as N
+20259,20259,What variance is acceptable
+20260,20260,What does standard variance tell us
+20261,20261,Is variance normally distributed
+20262,20262,What is univariate and multivariate data
+20263,20263,What does at test statistic mean
+20264,20264,How do you explain t statistic
+20265,20265,How do you describe statistics
+20266,20266,How do you describe data in statistics
+20267,20267,How do you describe descriptive statistics
+20268,20268,What is the P value when the test statistic is
+20269,20269,Is SVM machine learning
+20270,20270,Is SVM artificial intelligence
+20271,20271,What is data labeling in AI
+20272,20272,What is meant by labeled data
+20273,20273,How can you tell a false negative
+20274,20274,Which is worse a false positive or a false negative
+20275,20275,What type of error is a false negative
+20276,20276,What is the difference between false negative and false positive
+20277,20277,What is a false positive security
+20278,20278,How is Artificial Intelligence different from natural intelligence
+20279,20279,What is competitive based filtering
+20280,20280,What is Dbscan in machine learning
+20281,20281,What is a density based cluster
+20282,20282,How the density of point P at the density based clustering defined
+20283,20283,Which of the following is a density based clustering algorithm
+20284,20284,What is chatbot NLP
+20285,20285,How neural network can be used in prediction
+20286,20286,What assumption does the Mann Whitney U test make about the distribution of your data
+20287,20287,Does Mann Whitney U test assume equal variance
+20288,20288,What is bivariate and multivariate analysis
+20289,20289,What is bivariate analysis used for
+20290,20290,What is bivariate data and how is it used in statistics
+20291,20291,What is bivariate How do you do it
+20292,20292,What is an indicator name two artificial indicators
+20293,20293,Are indicator variables independent
+20294,20294,What's the function of an indicator
+20295,20295,How do you use a random variable indicator
+20296,20296,What are the steps to find the outliers in a data set
+20297,20297,Should outliers be deleted from data
+20298,20298,What is considered an outlier
+20299,20299,What numbers are considered outliers
+20300,20300,What is binomial probability distribution
+20301,20301,What does Nocebo mean
+20302,20302,Is it possible to train a network well by initializing all the weights as 0
+20303,20303,Can we train a neural network by initializing bias as 0
+20304,20304,Is it fine to initialize all weights to zero for a logistic classifier
+20305,20305,Why OpenCV is used for image processing
+20306,20306,What is OpenCV and TensorFlow
+20307,20307,How do you calculate standard distribution
+20308,20308,How do you draw a uniform distribution
+20309,20309,What are the components of decision analysis
+20310,20310,Is AdaBoost used for regression
+20311,20311,What is AdaBoost learning rate
+20312,20312,Is XGboost good for regression
+20313,20313,What is boosted regression
+20314,20314,How do you use a Poisson distribution table
+20315,20315,How do you solve Poisson distribution
+20316,20316,What is application of Poisson distribution
+20317,20317,What is test statistic value
+20318,20318,How do you find the test statistic by hand
+20319,20319,What is weight and bias Perceptron
+20320,20320,What is a hierarchical multiple regression
+20321,20321,What does hierarchical regression mean
+20322,20322,Why are z scores called standard scores
+20323,20323,How do z scores standardize data
+20324,20324,Why do z scores have a standard deviation of 1
+20325,20325,Are Z scores standardized
+20326,20326,How does z score relate to standard units
+20327,20327,How do you standardize a data set
+20328,20328,Why do we need Z scores standardized scores in statistics
+20329,20329,What does statistical rank mean
+20330,20330,What is Spearman's rank correlation coefficient in statistics
+20331,20331,Why is CNN better for image classification
+20332,20332,How a neural network learns
+20333,20333,What is the best definition of a regression equation
+20334,20334,How do you explain a regression model
+20335,20335,How do you describe a linear regression model
+20336,20336,What is the difference between one tailed and two tailed t test
+20337,20337,Is a one sample t test always two tailed
+20338,20338,What are the assumptions of the Z test
+20339,20339,Which of the following assumptions is required for a one sample Z test for a mean
+20340,20340,What assumptions must be met in order to avoid error when using the Z test
+20341,20341,What is uncertainty with example
+20342,20342,What do you mean by information rate
+20343,20343,What is ITC information
+20344,20344,What is entropy in ITC
+20345,20345,How information is measured
+20346,20346,Does NLP require machine learning
+20347,20347,What is NLP explain it with examples
+20348,20348,What is NLP in layman's terms
+20349,20349,What are the stages of NLP
+20350,20350,What are the major tasks of NLP
+20351,20351,How do you find the cross entropy
+20352,20352,How do I test a word2vec model
+20353,20353,What is min count in word2vec
+20354,20354,How do you vector output
+20355,20355,What is an output argument in Matlab
+20356,20356,What is an input vector
+20357,20357,What do you mean by hybrid Bayesian network
+20358,20358,What does Bayesian network provide
+20359,20359,What is the relation between a Bayesian network and full joint probability distribution
+20360,20360,What is Bayesian network model
+20361,20361,Is Bayesian network causal
+20362,20362,How do Bayesian networks work
+20363,20363,What does it mean to be unlabeled
+20364,20364,What is meant by unlabeled sample
+20365,20365,How do you find the mean and variance of a sampling distribution
+20366,20366,What is the variance of distribution
+20367,20367,What controls a sampling distribution
+20368,20368,What affects the sampling distribution of a proportion
+20369,20369,Why does variability decrease as sample size increases
+20370,20370,How does variability in the sample affects the result of the test
+20371,20371,What affects sampling variability
+20372,20372,Why is variability important in statistics
+20373,20373,What is sampling variability and why is it important to understand
+20374,20374,What are the types of variability
+20375,20375,What are the conditions for linear regression
+20376,20376,When would you use a linear regression model
+20377,20377,When should simple linear regression be used
+20378,20378,What is nonlinear regression used for
+20379,20379,How does nonlinear regression work
+20380,20380,What is the difference between linear and non linear regression
+20381,20381,Why does EM algorithm work
+20382,20382,What is a multimodal histogram
+20383,20383,What is unsupervised learning and supervised learning
+20384,20384,Why does the error term need to be normally distributed
+20385,20385,Why do we assume normality
+20386,20386,Why is the assumption of normally distributed data important
+20387,20387,What are the consequences if the residuals do not follow normal distribution
+20388,20388,Why normality is important in linear regression
+20389,20389,Do you need normal distribution for linear regression
+20390,20390,What does the assumption of normality apply to
+20391,20391,What is model based learning
+20392,20392,What's the difference between FFT and DFT
+20393,20393,What is the advantage of FFT over DFT
+20394,20394,What is the purpose of DFT
+20395,20395,How does natural language understanding NLU work in AI
+20396,20396,How does NLP work in artificial intelligence
+20397,20397,What are the properties of logarithms and examples
+20398,20398,What are the types of logarithms
+20399,20399,What is the geometric mean of 8 and 32
+20400,20400,How do you find similarities and differences
+20401,20401,What are the similarities and differences of every individual
+20402,20402,What are the different distance measures that can be used to determine similarity of features
+20403,20403,What is the probability of rolling a 6 with two dice
+20404,20404,What does exploratory data analysis mean
+20405,20405,Can two categorical variables be correlated
+20406,20406,Is 0.02 A strong correlation
+20407,20407,What is the formula to find correlation
+20408,20408,Which tool helps you determine the correlation between variables
+20409,20409,What does it mean to be robust in statistics
+20410,20410,What statistic is robust to outliers
+20411,20411,What does robust testing mean
+20412,20412,What do you understand by bagging
+20413,20413,How do you select the value of K in K means
+20414,20414,How do you find the centroid of a vector
+20415,20415,How do I find the mean of a vector
+20416,20416,What is Homoscedasticity in linear regression
+20417,20417,What is the difference between a frequency polygon and an ogive choose the correct answer below
+20418,20418,What is relative frequency mean
+20419,20419,How do you find the relative cumulative frequency
+20420,20420,What do you think is the purpose of relative and cumulative frequency
+20421,20421,What is an image in image processing
+20422,20422,What is the difference between image processing and computer vision
+20423,20423,What are the image processing techniques
+20424,20424,Why r squared is not important
+20425,20425,What is a bad R Squared
+20426,20426,How do you solve high bias
+20427,20427,How is probability used in research
+20428,20428,Why are researchers encouraged using probability sampling
+20429,20429,What are sampling methods used for
+20430,20430,What is the Facebook algorithm called
+20431,20431,Why Gaussian distribution is used
+20432,20432,How do you draw a Gaussian distribution
+20433,20433,What shape does a normal distribution look like
+20434,20434,What is general hypothesis in machine learning
+20435,20435,What is the version space in machine learning
+20436,20436,What is the fundamental principle of counting
+20437,20437,How is the counting principle mathematically calculated
+20438,20438,What is fundamental counting principle example
+20439,20439,What is the difference between vector space and dual space
+20440,20440,What variables should be controlled in an experiment
+20441,20441,What is significant difference in statistics
+20442,20442,How do you know if two data sets are significantly different
+20443,20443,How do you determine if two data sets are statistically different Excel
+20444,20444,How do you determine if data is statistically significant
+20445,20445,What is accuracy assessment in image classification
+20446,20446,How do you evaluate accuracy
+20447,20447,What is accuracy in classification
+20448,20448,What is the importance of neural networks
+20449,20449,Why are neurons important to learning and brain development
+20450,20450,What is neural networks in artificial intelligence
+20451,20451,What were logarithms originally used for
+20452,20452,How do you write a picture analysis
+20453,20453,How do you visually analyze a photo
+20454,20454,What is analysis example
+20455,20455,How do you Analyse an image
+20456,20456,How do you critically Analyse an image
+20457,20457,How do you analyze an image
+20458,20458,What is a analytical image
+20459,20459,How do you analyze visuals
+20460,20460,How do you analyze a picture rhetorically
+20461,20461,How do you read photographs
+20462,20462,Which of the following is an example of discrete random variable
+20463,20463,What does a discrete variable mean
+20464,20464,What are the criteria for a parametric test
+20465,20465,What are the assumptions made under parametric test
+20466,20466,What are the four main assumptions for parametric statistics
+20467,20467,Can logistic regression handle missing values
+20468,20468,How do you handle missing data values
+20469,20469,How are missing values and outliers handled
+20470,20470,How do you find the missing value of a data set
+20471,20471,How do you find empirical probability
+20472,20472,What is the empirical method in statistics
+20473,20473,How do you find the distribution of a function
+20474,20474,What can be said about the expected value and standard deviation of an exponential distribution
+20475,20475,How do you find the percentile of an exponential distribution
+20476,20476,How do you find the standard deviation of a data set
+20477,20477,What is the standard deviation of a dataset
+20478,20478,What formula does Excel use for standard deviation
+20479,20479,How do you find the standard deviation of a dataset in Excel
+20480,20480,How do you find the difference between two sets of data in Excel
+20481,20481,How do you calculate 2 standard deviations from the mean
+20482,20482,What is a good root mean square error value
+20483,20483,What is the advantage of using iterative algorithm like gradient descent
+20484,20484,How do I choose a kernel
+20485,20485,What is gaussian kernel in machine learning
+20486,20486,What does Gaussian do
+20487,20487,What does not follow a normal distribution
+20488,20488,How do you know if data is not normally distributed
+20489,20489,How do you use gradient descent
+20490,20490,How do you stop gradient descent
+20491,20491,What is Autoencoder in machine learning
+20492,20492,What is the use of tensor
+20493,20493,What is a tensor in neural network
+20494,20494,Is a tensor A Matrix
+20495,20495,Are tensors part of linear algebra
+20496,20496,What is Adam gradient descent
+20497,20497,Why Bayesian network is important
+20498,20498,Is Bayesian machine learning
+20499,20499,Who invented Bayes Theorem
+20500,20500,Who invented Bayesian statistics
+20501,20501,What is the other name for Bayesian network
+20502,20502,How do you find the partition function
+20503,20503,What is meant by partition function
+20504,20504,What does the partition function mean
+20505,20505,How do you find specific entropy
+20506,20506,What is the unit of partition function
+20507,20507,What are statistics examples
+20508,20508,What is sample in statistic
+20509,20509,How do you find the sample statistic
+20510,20510,What are the two meanings of statistics
+20511,20511,How is statistics used in everyday life
+20512,20512,What are statistics and what are they used for
+20513,20513,What are the uses of statistics in different fields
+20514,20514,How do you know if it is a hypergeometric distribution
+20515,20515,What is K in probability
+20516,20516,How do you find K in a probability distribution
+20517,20517,What is the difference between policy iteration and value iteration
+20518,20518,How do you find the optimal value function
+20519,20519,How can deductive reasoning be improved
+20520,20520,How can inductive and deductive reasoning be used to solve problems
+20521,20521,What is better inductive or deductive reasoning
+20522,20522,How can deductive skills be improved
+20523,20523,What makes a discrete probability distribution
+20524,20524,Can a normal distribution be discrete
+20525,20525,Do normal distributions apply to discrete variables
+20526,20526,Why do we need activation functions
+20527,20527,Which activation function is the most commonly used activation function in neural networks linear or non linear
+20528,20528,Is 0 A weak correlation
+20529,20529,What does a correlation of 0 mean quizlet
+20530,20530,What is discriminative training
+20531,20531,Is Knn generative or discriminative
+20532,20532,What is the sum of relative frequencies
+20533,20533,How do you find the sum of relative frequencies
+20534,20534,How do you read Gini index in decision tree
+20535,20535,Why is Gini better than entropy
+20536,20536,What is entropy in decision tree
+20537,20537,Why do decision trees use Entropy
+20538,20538,What is the minimum value of entropy in a decision tree
+20539,20539,What is the difference between Gini Index and Gini coefficient
+20540,20540,What is the difference between Gini and entropy
+20541,20541,How do you detect anomaly
+20542,20542,What is anomaly detection in AI
+20543,20543,What are the difficulties in anomaly detection
+20544,20544,What is an example of empirical research
+20545,20545,What is the meaning of empirical
+20546,20546,What is meant by theoretical distribution
+20547,20547,What are the different types of theoretical distributions
+20548,20548,What is an empirical vs theoretical distribution
+20549,20549,What is empirical probability
+20550,20550,What is the difference between probability and experimental probability
+20551,20551,What is the formula for empirical probability
+20552,20552,What is the theoretical probability of rolling a 6
+20553,20553,What is the difference of research hypothesis and statistical hypothesis
+20554,20554,Which best describes the relationship between a research hypothesis and statistical hypothesis
+20555,20555,What are the types of data in cluster analysis
+20556,20556,Which one of the following is most likely to reduce sampling error
+20557,20557,Which one of the following is a probability sampling technique
+20558,20558,What are the differences between stratified and cluster sampling
+20559,20559,What is the standard error of a regression coefficient
+20560,20560,What is standard error in regression analysis
+20561,20561,What is the standard error in Excel regression
+20562,20562,What is Fourier transform pair
+20563,20563,What is Fourier transform in DSP
+20564,20564,What is meant by sinc
+20565,20565,What is the use of eigenvalues
+20566,20566,What is Eigen function and Eigen value
+20567,20567,How can predictive performance models be improved
+20568,20568,What does sample space mean in statistics
+20569,20569,How do you find linear correlation between two variables
+20570,20570,What is the correlation between two variables
+20571,20571,Where do we use AI in everyday life
+20572,20572,How is artificial intelligence used in everyday life
+20573,20573,What is real artificial intelligence
+20574,20574,How does Gensim Word2Vec work
+20575,20575,What does it mean to censor data
+20576,20576,What does right censored mean
+20577,20577,Which of the following is an example of a false positive
+20578,20578,Which of the following is text mining package
+20579,20579,What does Unnest_tokens do in R
+20580,20580,How is text mining done
+20581,20581,Which are the steps to perform text mining
+20582,20582,What is text mining techniques
+20583,20583,What is text mining examples
+20584,20584,What is mean by text mining
+20585,20585,What is text mining and how does it work
+20586,20586,What is data mining and text mining
+20587,20587,What is Ridge model
+20588,20588,What does a Sobel filter do
+20589,20589,How do you write a probability distribution function
+20590,20590,How do you draw a probability distribution graph
+20591,20591,What is probability distribution in simple words
+20592,20592,What are some regression problems
+20593,20593,Why is Multicollinearity not a problem in simple regression
+20594,20594,What is the weakness of linear communication model
+20595,20595,How do you find the class boundary of a class interval
+20596,20596,Which of the following techniques would perform better for reducing dimensions of dataset
+20597,20597,Which of the following machine learning algorithms is used for dimensionality reduction
+20598,20598,What does a high survey response rate mean
+20599,20599,How do you ensure a high response rate in a survey
+20600,20600,How are predictive values calculated
+20601,20601,What is PPV in statistics
+20602,20602,How do you calculate PPV from prevalence and specificity
+20603,20603,What does the null hypothesis make a claim about
+20604,20604,What is the purpose of a null hypothesis
+20605,20605,What does null hypothesis mean
+20606,20606,What is hypothesis and null hypothesis
+20607,20607,What is the significance of null hypothesis
+20608,20608,Which hypothesis is used to test the significance of statistics
+20609,20609,What is the basic machine learning algorithm
+20610,20610,What happens when machine learning algorithm is compiled
+20611,20611,What do you mean by time series in statistics
+20612,20612,What are the components of time series in statistics
+20613,20613,Can the mean of a normal distribution be negative
+20614,20614,Are sample means always normally distributed
+20615,20615,Is sample mean random
+20616,20616,What bias means
+20617,20617,Who is your bias wrecker in BTS
+20618,20618,How many biases can you have
+20619,20619,Who is Yeonjun BTS bias
+20620,20620,Who is the bias wrecker in BTS
+20621,20621,What is Underfitting in neural networks
+20622,20622,What is the difference between a random variable and a probability distribution
+20623,20623,How do discrete and continuous random variables differ
+20624,20624,What is the difference between discrete and continuous variable quizlet
+20625,20625,What is meant by a random variable quizlet
+20626,20626,What information does a probability model give
+20627,20627,What is the formula to calculate standard deviation
+20628,20628,How do you find the standard deviation when given the mean
+20629,20629,How do you find the percent deviation from the mean
+20630,20630,How far is one standard deviation from the mean
+20631,20631,How many standard deviations are you from the mean
+20632,20632,How many standard deviations away from the mean is statistically significant
+20633,20633,What is probability mass function in statistics
+20634,20634,How do you solve linear regression
+20635,20635,What is the drawback of Bellman Ford algorithm
+20636,20636,What is the difference between strong AI and weak AI
+20637,20637,What is strong AI quizlet
+20638,20638,What is strong AI philosophy
+20639,20639,What is the strong AI thesis
+20640,20640,What is exponential smoothing
+20641,20641,How accurate is exponential smoothing
+20642,20642,What is smoothing in forecasting
+20643,20643,What is the formula for exponential smoothing
+20644,20644,What is single exponential smoothing
+20645,20645,How do you interpret a dummy variable coefficient
+20646,20646,Do we need to scale dummy variables
+20647,20647,How do you interpret a negative log likelihood
+20648,20648,How do you do logistic regression on Excel
+20649,20649,How do you find the probability given the mean and sample size
+20650,20650,What NAT mode should I use
+20651,20651,What is the point of Nat
+20652,20652,What is the point of an activation function
+20653,20653,What are activation functions and why are they required
+20654,20654,What is SSE in Kmeans
+20655,20655,How is SSE calculated
+20656,20656,How do you determine the value of K in K means
+20657,20657,How is SSE calculated in Anova
+20658,20658,Why do we use K means algorithm
+20659,20659,Is the P value the probability of a Type 1 error
+20660,20660,What is the main difference between the variance and the standard deviation as measures of variability
+20661,20661,What is the difference between difference and variance
+20662,20662,What does the word variance mean
+20663,20663,How is variance calculated in statistics
+20664,20664,How is naive Bayes algorithm useful for learning and classifying text
+20665,20665,How is the best fitting regression line determined
+20666,20666,How do you determine the best fit model
+20667,20667,How do you find the line of best fit using residuals
+20668,20668,What is the meaning of kernel
+20669,20669,What do you mean by kernel
+20670,20670,Why do we use Kalman filter
+20671,20671,What is IDF in NLP
+20672,20672,In which state entropy is maximum
+20673,20673,What is entropy in machine learning
+20674,20674,Why is entropy logarithmic
+20675,20675,What are deep learning models
+20676,20676,What is a nonparametric model
+20677,20677,Which of the following is an unsupervised learning technique
+20678,20678,What is the sample space of a random experiment
+20679,20679,How can I improve my reasoning power
+20680,20680,How do students develop reasoning skills
+20681,20681,How can I develop my thinking skills
+20682,20682,What does a good exposure histogram look like
+20683,20683,How do you read a exposure histogram
+20684,20684,How can you tell if your image is exposed correctly
+20685,20685,How do you adjust exposure on a histogram
+20686,20686,How is median overall survival calculated
+20687,20687,How do you calculate survival time
+20688,20688,What does relative survival rate mean
+20689,20689,What does Median survival mean
+20690,20690,What does a Kaplan Meier curve show
+20691,20691,How is survival rate calculated
+20692,20692,What is the basis of a vector
+20693,20693,How do you find the basis of a 2x2 matrix
+20694,20694,What is a basis of a subspace
+20695,20695,What is the basis of a vector space
+20696,20696,How do you know if a vector is basis
+20697,20697,What is the standard basis for P2
+20698,20698,Why chi square test is a nonparametric test
+20699,20699,What kind of test is chi square
+20700,20700,How many medians can there be
+20701,20701,What does the mean mean in statistics
+20702,20702,Is mean and mean deviation same
+20703,20703,What is the mean vs median
+20704,20704,What is use average
+20705,20705,What is mean and its types
+20706,20706,What is PCA ML
+20707,20707,What is the most common algorithm for regression
+20708,20708,Which is the best regression model
+20709,20709,Which methods can be used to evaluate regression model
+20710,20710,What are the factors that affect a linear regression model
+20711,20711,Do z scores always have a mean of 0
+20712,20712,Is AI also called machine intelligence
+20713,20713,How can AI and humans work together
+20714,20714,Can artificial intelligence beat human intelligence
+20715,20715,What is the area under the curve used for
+20716,20716,How do you read autocorrelation
+20717,20717,How do you interpret autocorrelation in SPSS
+20718,20718,What is the purpose of autocorrelation
+20719,20719,What does the ACF tell us
+20720,20720,What is ACF in time series and its use
+20721,20721,What does ACF and PACF mean
+20722,20722,What is the use of autocorrelation function
+20723,20723,What is neural model
+20724,20724,What is model in deep learning
+20725,20725,What is the difference between an algorithm and a model
+20726,20726,What is the model in machine learning
+20727,20727,Why does serial correlation occur
+20728,20728,What does positive serial correlation mean
+20729,20729,Is serial correlation the same as autocorrelation
+20730,20730,How do you interpret the Durbin Watson statistic
+20731,20731,What is the difference between autocorrelation and correlation
+20732,20732,What is serial correlation in regression
+20733,20733,What are ML tools
+20734,20734,What are the tools required for machine learning
+20735,20735,What are the basics for machine learning
+20736,20736,What are machine learning methods
+20737,20737,Which of the following are tools are used for deep learning
+20738,20738,What is a in the least squares trend equation
+20739,20739,How do you find the trend value by least square method
+20740,20740,How do you find the regression equation by hand
+20741,20741,What does the regression equation measure
+20742,20742,What does Standard Deviation tell us about the mean
+20743,20743,Why do we use word Embeddings
+20744,20744,How do we choose the factor K
+20745,20745,How do you increase classification accuracy
+20746,20746,How will you Regularise the KNN model
+20747,20747,How can I improve my KNN model accuracy
+20748,20748,Which one is true in case of KNN algorithm
+20749,20749,What are the possible values of covariance
+20750,20750,Where is covariance used
+20751,20751,What is a frame in statistics
+20752,20752,What will be the accuracy of the random forest for classification task
+20753,20753,How can decision tree accuracy be improved
+20754,20754,What is boosting decision tree
+20755,20755,When would you use a scatter plot
+20756,20756,What does entropy reduction mean
+20757,20757,What happens if entropy decreases
+20758,20758,What increases and decreases entropy
+20759,20759,How does entropy increase or decrease
+20760,20760,What leads to an increase in entropy
+20761,20761,How does entropy affect the system
+20762,20762,Is artificial intelligence better than human intelligence
+20763,20763,What is the difference between human intelligence and artificial intelligence
+20764,20764,Do computers surpass human intelligence justify
+20765,20765,What is the difference between Ancova and Anova
+20766,20766,What is an unblinded study
+20767,20767,How can random processes cause evolution How do these processes differ from natural and artificial selection
+20768,20768,How do you recognize an optimization problem
+20769,20769,What do you mean by optimization
+20770,20770,Why are optimization algorithms used for
+20771,20771,How do you choose an optimization algorithm
+20772,20772,What is optimization in DAA
+20773,20773,What is meant by alternative hypothesis
+20774,20774,How do you write an alternative hypothesis
+20775,20775,Can both the null and alternative hypothesis be true
+20776,20776,Is decision tree a classification algorithm
+20777,20777,Where decision tree will fall into supervised or unsupervised learning
+20778,20778,How is convolutional neural network
+20779,20779,How does GloVe embedding work
+20780,20780,What are GloVe vectors
+20781,20781,What is Normalisation and its types
+20782,20782,What do you mean by normalization in DBMS
+20783,20783,How many types of normalization are there
+20784,20784,What is normalization explain different normal forms
+20785,20785,Is interquartile range variability
+20786,20786,What does interquartile range measure
+20787,20787,Is the interquartile range a measure of center or a measure of variation
+20788,20788,Why is the Iqr preferred over the range as a measure of variability
+20789,20789,Is range a good measure of variability
+20790,20790,What are the two important measures of variability
+20791,20791,How do you know what measure of variability to use
+20792,20792,Why do you do n 1 in standard deviation
+20793,20793,Why do we divide by N 1 in sample variance
+20794,20794,What is N in standard deviation
+20795,20795,Why do you subtract 1 in standard deviation
+20796,20796,Why does standard deviation decrease with sample size
+20797,20797,What does off policy mean
+20798,20798,What are the disadvantages of PPO
+20799,20799,What is the policy in reinforcement learning
+20800,20800,Is variance the same as sample variance
+20801,20801,How do you find the sample variance of the sample mean
+20802,20802,What does sample variance mean in statistics
+20803,20803,What is the least squares linear regression
+20804,20804,How do you do least square method
+20805,20805,What is the formula for LSRL
+20806,20806,How do you prove something is a probability density function
+20807,20807,What are the conditions for a probability density function
+20808,20808,How do you prove probability distribution
+20809,20809,Are AI and machine learning the same
+20810,20810,What does the covariance value mean
+20811,20811,What is a good NPS score for SaaS
+20812,20812,How do you determine endogenous variables
+20813,20813,What are the endogenous variables in this model
+20814,20814,What is the domain of a variable
+20815,20815,What are the properties of a random variable
+20816,20816,Is age a discrete data
+20817,20817,Is weight a discrete or continuous variable
+20818,20818,Is weight discrete data
+20819,20819,What type of variable is weight in statistics
+20820,20820,How do you interpret Fisher's exact
+20821,20821,What is the purpose of Anova
+20822,20822,What is the cost function of linear regression
+20823,20823,What is a regression function
+20824,20824,What is linear regression and how does it work
+20825,20825,What is data stream in big data
+20826,20826,What is a streaming data
+20827,20827,Do you use data when streaming
+20828,20828,What are GIS data
+20829,20829,What is primary and secondary data in GIS
+20830,20830,What is the difference between raster and vector data in GIS
+20831,20831,What is data stream network
+20832,20832,What is media and data stream
+20833,20833,What does the symbol λ mean
+20834,20834,How do you find lambda in statistics
+20835,20835,How do you interpret Wilks Lambda
+20836,20836,What are the disadvantages of bootstrap
+20837,20837,What is bootstrap and how do you use it
+20838,20838,How do I start using bootstrap
+20839,20839,How does neural network calculate number of parameters
+20840,20840,How many parameters does the neural network have
+20841,20841,What determines the number of parameters in a CNN
+20842,20842,What are trainable parameters
+20843,20843,What are non trainable parameters
+20844,20844,How do you calculate learnable parameters
+20845,20845,How many layers should a CNN have
+20846,20846,What does a correlation of 0.01 mean
+20847,20847,What does it mean if the p value is low
+20848,20848,Is P 0.05 statistically significant
+20849,20849,What is the role of loss functions how loss functions are important in NN
+20850,20850,Which of the following are loss functions in machine learning
+20851,20851,What is the current limitation of AI technology
+20852,20852,What are the limits of machine learning
+20853,20853,What is the IQ of artificial intelligence
+20854,20854,Is cluster sampling probability or Nonprobability
+20855,20855,What is multistage sampling PDF
+20856,20856,What are the advantages and disadvantages of multistage sampling
+20857,20857,What is network theory in communication
+20858,20858,What is network in statistics
+20859,20859,What is naive about naive Bayes
+20860,20860,How does naive Bayes algorithm work
+20861,20861,How do you train a Naive Bayes classifier
+20862,20862,Which type of learning is used by naïve Bayes
+20863,20863,Why we use filters in image processing
+20864,20864,What is the purpose of filter
+20865,20865,What is meant by image filtering
+20866,20866,What are the two major function of filter gallery
+20867,20867,What is the expectation of a Poisson distribution
+20868,20868,What are the requirements for Poisson distribution
+20869,20869,What is the expected value of binomial distribution
+20870,20870,How do you find the expected value of a probability distribution table
+20871,20871,What is Lambda in normal distribution
+20872,20872,What is meta model in machine learning
+20873,20873,How do you calculate expected distribution
+20874,20874,Is the expected value of the probability distribution of a random variable always one
+20875,20875,Why is it important to know about probability functions
+20876,20876,Is expected value a linear operator
+20877,20877,What causes entropy
+20878,20878,Who defined entropy
+20879,20879,What is the origin of the word entropy
+20880,20880,How do you know which predictive model to use
+20881,20881,How do I choose a good predictive model
+20882,20882,How do you make a good predictive model
+20883,20883,Is logistic regression probabilistic
+20884,20884,What is odds in logistic regression
+20885,20885,How do you find the intercept in logistic regression
+20886,20886,Why we use log in logistic regression
+20887,20887,What does a chi square test statistic mean
+20888,20888,How do you find the sample size for a chi square test
+20889,20889,How do I choose the best data model
+20890,20890,What is are the characteristics of an intelligent agent
+20891,20891,What makes an agent intelligent
+20892,20892,What do you understand by intelligent agents describe the different types of internet intelligent agents
+20893,20893,What is unsupervised AI
+20894,20894,What is supervised and unsupervised learning in artificial intelligence
+20895,20895,How do AIs learn
+20896,20896,Is the response variable independent or dependent
+20897,20897,How do you know which variable is dependent
+20898,20898,What is binomial distribution PDF
+20899,20899,What is the criteria for a binomial probability experiment
+20900,20900,What is one of the problems with using linear regression to predict probabilities
+20901,20901,Why linear regression Cannot be used for classification
+20902,20902,Is linear regression used for classification
+20903,20903,What is classifier in neural network
+20904,20904,Why is probability important in data science
+20905,20905,How is probability used in machine learning
+20906,20906,What is the role of probability theory in statistics
+20907,20907,What is the formula to find probability
+20908,20908,What is an additive relationship in statistics
+20909,20909,How is additive model calculated
+20910,20910,What does additive mean in statistics
+20911,20911,What is additive model of time series
+20912,20912,How do you find lognormal mean
+20913,20913,What is classification in AI
+20914,20914,What is the use of classification
+20915,20915,What do you mean by multivariate analysis explain how it differs from bivariate analysis
+20916,20916,How do I test statistical significance in R
+20917,20917,What does it mean if a correlation is statistically significant
+20918,20918,How is bagging different from boosting
+20919,20919,How can we improve the performance of Random Forest classifier
+20920,20920,How can you improve the precision of a model
+20921,20921,What is meant by linear transformation
+20922,20922,What are the different types of linear transformations
+20923,20923,What is the linear transformation equation
+20924,20924,What is the standard matrix of a linear transformation
+20925,20925,How do you find the matrix of a linear transformation
+20926,20926,What is a linear transformation in linear algebra
+20927,20927,How do you tell if a matrix is a linear transformation
+20928,20928,How do you write a linear transformation
+20929,20929,How do you show that a transformation is linear
+20930,20930,How do you describe a linear transformation
+20931,20931,How do you prove a function is linear
+20932,20932,Who proposed decision making theory
+20933,20933,What is the difference between Mann Whitney and Kruskal Wallis
+20934,20934,What does a Wilcoxon test do
+20935,20935,What is a weight in neural network
+20936,20936,How do you initialize bias and weights
+20937,20937,What is weight matrix
+20938,20938,How do you find the weight of a matrix
+20939,20939,Is TensorFlow machine learning or deep learning
+20940,20940,What is the difference between regression and classification in ML
+20941,20941,Is classification better than regression
+20942,20942,Is regression analysis predictive analytics
+20943,20943,Is Regression a prediction
+20944,20944,What is moment estimator
+20945,20945,How do you find the moments estimator
+20946,20946,What is activation function in artificial neural network
+20947,20947,Is probability distribution a random variable
+20948,20948,How do you find the probability distribution of a random variable
+20949,20949,Which of the following is not possible in probability distribution
+20950,20950,Why does Stata omit variables
+20951,20951,What are dummy variables Stata
+20952,20952,How do we create data
+20953,20953,What is meant by dataset
+20954,20954,What are datasets used for
+20955,20955,What is training data set in machine learning
+20956,20956,Is multiple linear regression multivariate
+20957,20957,What is a multivariate regression model
+20958,20958,Which is an example of regression
+20959,20959,How do you interpret multivariate regression analysis
+20960,20960,How do you interpret multiple regression intercepts
+20961,20961,What causes nonlinearity
+20962,20962,How do you determine non linearity
+20963,20963,What is the difference between a linear and non linear relationship
+20964,20964,What is the goal of a generative adversarial network
+20965,20965,Where is the motor homunculus located
+20966,20966,How is the motor homunculus organized
+20967,20967,Is Hopfield network a type of recurrent neural network
+20968,20968,How do you find the mean of a binomial distribution
+20969,20969,What is the relationship between Poisson and gamma distribution
+20970,20970,How do you find the causal relationship between two variables
+20971,20971,What is the test used for causation
+20972,20972,What is iteration in deep learning
+20973,20973,What is epochs in neural network
+20974,20974,What is an epoch in deep learning
+20975,20975,What is Batch_size in model fit
+20976,20976,What is epochs in deep learning
+20977,20977,Does TensorBoard work with keras
+20978,20978,How do you add a TensorBoard to keras
+20979,20979,How do you plot a tensor image
+20980,20980,What does cv2 canny do
+20981,20981,What is canny image
+20982,20982,How do you convert a marginal PDF to a joint PDF
+20983,20983,How do you find joint probability from marginal probability
+20984,20984,What is marginal PDF
+20985,20985,How do you describe the distribution of a data set
+20986,20986,What is a data distribution
+20987,20987,What are the main limitations of non parametric tests
+20988,20988,What are the characteristics that separate parametric and nonparametric tests
+20989,20989,What are the assumptions of non parametric test
+20990,20990,What are the advantages of parametric test
+20991,20991,Is it true that parametric tests are generally more powerful than nonparametric tests if so give two reasons why you might choose to use a nonparametric test instead of a parametric test
+20992,20992,What are the rules for probability
+20993,20993,What are the three laws of probability
+20994,20994,What are the 2 rules of probability
+20995,20995,Is PCA used for dimensionality reduction
+20996,20996,When AUC can be used as a measure of quality of models
+20997,20997,Why PCA is used in machine learning
+20998,20998,How do you calculate false negative rate
+20999,20999,How do you calculate accuracy from sensitivity and specificity
+21000,21000,Is sensitivity false negative
+21001,21001,How do I get PPV from sensitivity and specificity
+21002,21002,How do you calculate misclassification rate
+21003,21003,How do you present categorical data
+21004,21004,Which plot can be used to see the frequency distribution of a categorical variable
+21005,21005,How do you find the frequency distribution of a categorical variable in Python
+21006,21006,What is the best type of visualization to show the frequency distribution of a categorical variable
+21007,21007,How do you calculate run time efficiency
+21008,21008,What is the efficiency of a computer algorithm
+21009,21009,What is efficiency of algorithm based on
+21010,21010,What factors affect the efficiency of an algorithm
+21011,21011,What are the factors to consider while analyzing an algorithm
+21012,21012,Why is the efficiency of an algorithm important
+21013,21013,What is the need of measuring the complexity of an algorithm
+21014,21014,How do you find the average case complexity of a binary search
+21015,21015,What are the worst case and average case complexity of a binary search tree
+21016,21016,What is complexity in binary search tree
+21017,21017,What is the Big O for binary search
+21018,21018,When can we use normal approximation
+21019,21019,When can you use the normal approximation to the binomial distribution
+21020,21020,Why do we approximate binomial to normal distribution
+21021,21021,What conditions must be met in order for a sampling distribution of proportions to be approximated by a normal distribution
+21022,21022,What are the conditions for normal distribution
+21023,21023,Why do we use mean median and mode
+21024,21024,What are the advantages and disadvantages of mean median and mode
+21025,21025,What are the merits and demerits of mode
+21026,21026,What are the advantages of median in statistics
+21027,21027,What does the mode tell you in statistics
+21028,21028,Which are common applications of deep learning in Artificial Intelligence AI
+21029,21029,What are applications of AI
+21030,21030,What are some examples of AI
+21031,21031,What is the example of conventional AI
+21032,21032,How is normal distribution derived
+21033,21033,How do you derive a probability distribution
+21034,21034,How do you derive Joint Distribution
+21035,21035,Why do we use regularization
+21036,21036,What is neural nets way of classifying inputs
+21037,21037,Can Ann be used for classification
+21038,21038,Why are deep neural networks called deep
+21039,21039,What is the difference between deep learning and neural network
+21040,21040,What is meant by probability distribution function
+21041,21041,What is called distribution function
+21042,21042,What is distribution function of a random variable
+21043,21043,What is Visualisation method
+21044,21044,What is algorithm visualization
+21045,21045,How do you visualize correctly
+21046,21046,How do I visualize my study
+21047,21047,How do visualization techniques work
+21048,21048,Why is random forest better than SVM
+21049,21049,What are multilevel models and why should I use them
+21050,21050,What is multilevel data
+21051,21051,What is autocorrelation time series
+21052,21052,What does autocorrelation function mean
+21053,21053,What does an ACF plot tell us
+21054,21054,How is survival probability calculated
+21055,21055,How do you find the rejection region in a hypothesis test
+21056,21056,What is a hypothesis test in statistics
+21057,21057,What is a hypothesis in stats
+21058,21058,What is sampling distribution of the mean in statistics
+21059,21059,Which theorem defines the sampling distribution of the mean
+21060,21060,How do you find the mean of the sampling distribution
+21061,21061,How do you evaluate regression results
+21062,21062,How do you measure regression performance
+21063,21063,How do you evaluate regression
+21064,21064,Why is statistical testing important in research
+21065,21065,How do you interpret statistical results
+21066,21066,What is statistical evaluation
+21067,21067,Why is evaluating statistical results important
+21068,21068,How do you prove a distribution is normal
+21069,21069,Why should we check if data is normally distributed
+21070,21070,Why do we need to assume normality for hypothesis testing
+21071,21071,What are the measures of association
+21072,21072,What is Association variables
+21073,21073,How do you know if data is continuous
+21074,21074,Is my data discrete or continuous
+21075,21075,What does it mean to say that the sample variance is an unbiased statistic
+21076,21076,Is sample range biased or unbiased
+21077,21077,How do you prove something is unbiased
+21078,21078,Is sample standard deviation biased
+21079,21079,Why is correlation not the same as causation
+21080,21080,How are correlational and causal relationship different
+21081,21081,What is an example of correlation without causation
+21082,21082,What does correlation without causation mean
+21083,21083,What does it mean when there is no correlation between two variables
+21084,21084,What does it mean to say that two variables have no correlation
+21085,21085,What is ordinary least square estimator
+21086,21086,What is another name for the least squares regression line
+21087,21087,Is logistic regression an OLS
+21088,21088,Why is statistical inference useful
+21089,21089,What is the importance of inferential statistics
+21090,21090,What is statistical inference Why is it important
+21091,21091,What is statistical inference in psychology
+21092,21092,What is statistical inference quizlet
+21093,21093,What is the difference between parametric and non parametric statistics
+21094,21094,What is parametric model in statistics
+21095,21095,Which type of data are normally used in parametric statistics
+21096,21096,What is parametric data
+21097,21097,How do I start learning data structure
+21098,21098,Where can I study data structures
+21099,21099,How do you correct bias
+21100,21100,What is the best way of eliminating bias in machine learning
+21101,21101,How can bias be reduced in an experiment
+21102,21102,Why do we use bias
+21103,21103,What is population variance in math
+21104,21104,How do you calculate population variance in R
+21105,21105,What does bias mean in data
+21106,21106,What is bias in data collection
+21107,21107,What is bias in a sample
+21108,21108,What is bias in neural network Quora
+21109,21109,How do you calculate AUC
+21110,21110,How do you find the equation of a regression line given data
+21111,21111,What are the limitations of conjoint analysis
+21112,21112,Why do we do conjoint analysis
+21113,21113,How do you do a conjoint analysis in SPSS
+21114,21114,How do you calculate the net gain of a decision tree
+21115,21115,What is a decision tree in statistics
+21116,21116,How do you start a decision tree business
+21117,21117,What does extracting information mean
+21118,21118,What is the difference between information retrieval and information extraction
+21119,21119,How do you calculate absolute error
+21120,21120,How do you find the absolute error of Class 11
+21121,21121,What is the formula for finding error
+21122,21122,How do you find the error
+21123,21123,What is relative error
+21124,21124,What is relative and absolute error
+21125,21125,What is an example of inter rater reliability
+21126,21126,What is inter rater reliability and why is it important
+21127,21127,What is inter rater reliability in qualitative research
+21128,21128,How is Cohen kappa calculated
+21129,21129,What is inter rater reliability example
+21130,21130,How do you calculate inter rater reliability in Excel
+21131,21131,How do you ensure Intercoder reliability
+21132,21132,How do you remove outliers in cluster analysis
+21133,21133,How do we treat outliers
+21134,21134,What is the difference between clusters and outliers
+21135,21135,Is Kmeans clustering sensitive to outliers
+21136,21136,How would you define learning
+21137,21137,What are the benefits of learning
+21138,21138,Why is the study of learning important
+21139,21139,What is the definition of learning
+21140,21140,What is learning and its examples
+21141,21141,Why do we need dimensional analysis
+21142,21142,When would you use dimensional analysis to solve a problem
+21143,21143,What tests how variable is affected by another
+21144,21144,What variable in an experiment is tested for its effects on another variable
+21145,21145,Which variable affects other variables
+21146,21146,How do you convert Poisson to exponential
+21147,21147,What is the formula for Kruskal Wallis based upon
+21148,21148,How do you determine whether the distribution is a discrete probability distribution
+21149,21149,Are disjoint events mutually exclusive
+21150,21150,How do you know if two events are mutually exclusive
+21151,21151,What is mutually disjoint sets
+21152,21152,What is an example of mutually exclusive
+21153,21153,What does it mean for 2 events to be disjoint
+21154,21154,How do you identify disjoint sets
+21155,21155,Are machine learning and AI the same thing
+21156,21156,What is the difference between AI deep learning and machine learning
+21157,21157,Is Machine Learning a branch of AI
+21158,21158,What is machine learning and its types
+21159,21159,How do you analyze test retest reliability
+21160,21160,What is gradient in XGBoost
+21161,21161,What is the meaning of false positive and false negative
+21162,21162,What's a false negative pregnancy test
+21163,21163,How do you find the class limit of a frequency distribution
+21164,21164,What is a neuron in ML
+21165,21165,Which of the following are measures of spread
+21166,21166,Is a random variable measurable
+21167,21167,What do you mean by random variables in quantitative techniques
+21168,21168,How do you prove a random variable
+21169,21169,What is the importance of big data analytics
+21170,21170,What is big data analytics
+21171,21171,What is big data and why it matters
+21172,21172,What is Big Data Why is it important where does big data come from
+21173,21173,Is big data the same as data analytics
+21174,21174,What type of analytics are included in big data
+21175,21175,What is meant by blurred image
+21176,21176,What does blurred mean
+21177,21177,How do you blur a picture
+21178,21178,What is the difference between parametric and nonparametric methods
+21179,21179,What are parametric methods
+21180,21180,What does PDF mean in statistics
+21181,21181,What does a probability mass function tell you
+21182,21182,What is collinearity in regression analysis
+21183,21183,Is Multicollinearity a problem in regression
+21184,21184,Why is Multicollinearity a problem in linear regression least square solution
+21185,21185,What does P .05 mean in statistics
+21186,21186,What does a low P value mean
+21187,21187,How does optical flow work
+21188,21188,What is optical flow positioning
+21189,21189,What is the optic flow and how do we use it to navigate in the world
+21190,21190,What is normal distribution of data in statistics
+21191,21191,What does a distribution of data represent
+21192,21192,How do you know if a data set is normally distributed
+21193,21193,How do you know if data is distributed
+21194,21194,Is gradient descent a learning algorithm
+21195,21195,Is gradient descent a cost function
+21196,21196,What is Gaussian filter used for
+21197,21197,What does a correlation coefficient of 0.85 mean
+21198,21198,What is the relationship between covariance and correlation
+21199,21199,Is covariance and coefficient of variation the same
+21200,21200,Why SVM is an example of large margin classifier
+21201,21201,What is regression analysis technique
+21202,21202,What is a one sided hypothesis test
+21203,21203,What is a left tailed hypothesis
+21204,21204,How do you interpret statistical significance
+21205,21205,What is statistical significance value
+21206,21206,Is 0.05 statistically significant
+21207,21207,What is a good statistical significance number
+21208,21208,What are the steps involved in solving an NLP problem
+21209,21209,What is process noise and measurement noise
+21210,21210,What is a 2 sided confidence interval
+21211,21211,Are Confidence Intervals always two tailed
+21212,21212,Why do confidence intervals differ
+21213,21213,How do you know if a confidence interval is reliable
+21214,21214,What is penalty in logistic regression
+21215,21215,What is penalty in machine learning
+21216,21216,What are the different hashing techniques
+21217,21217,What is hashing technique in DBMS
+21218,21218,Why are hash types different lengths
+21219,21219,How many types of hash functions are there
+21220,21220,Which hashing method is better
+21221,21221,Why is Sha better than MD5
+21222,21222,What is the criteria for normal approximation
+21223,21223,What does NQ mean in statistics
+21224,21224,What does NP stand for in statistics
+21225,21225,What is the difference between association correlation and causation
+21226,21226,What is the meaning of correlation
+21227,21227,How do you describe an association
+21228,21228,What does it mean to have a relationship between two variables
+21229,21229,What is used to show the relationship between two variables
+21230,21230,How do you describe a relationship between two things
+21231,21231,What is the difference between correlation and association
+21232,21232,How do you tell if there is an association in statistics
+21233,21233,What is an associated variable
+21234,21234,What is a relative frequency in statistics
+21235,21235,How do you find the relative frequency in statistics
+21236,21236,What is artificial intelligence theory
+21237,21237,How do you define AI
+21238,21238,When did the idea of artificial intelligence start
+21239,21239,What is a statistics class
+21240,21240,What is the difference between probability and statistics
+21241,21241,What is the importance of statistics and probability in our life
+21242,21242,What is the importance of statistics
+21243,21243,What are the types of statistics
+21244,21244,What statistics mean
+21245,21245,What kind of math is probability and statistics
+21246,21246,Why comparison methods are used
+21247,21247,How do you compare two methods of measurement
+21248,21248,How do you compare metric measurements
+21249,21249,What are the types of learning in AI
+21250,21250,Is the sample standard deviation unbiased
+21251,21251,What does it mean to say that the sample variance is an unbiased statistic for the population variance
+21252,21252,Is the sample median an unbiased estimator
+21253,21253,What kind of data is ordinal
+21254,21254,Is interval data discrete or continuous
+21255,21255,Do neural networks model the brain
+21256,21256,Is neural network a statistical model
+21257,21257,Are neural networks linear models
+21258,21258,How do you create a neural network model
+21259,21259,Are neural networks statistical models
+21260,21260,What is probabilistic Modelling
+21261,21261,What is probabilistic model in machine learning
+21262,21262,Is machine learning probabilistic
+21263,21263,Which is used to represent the graphical model for probability relationship among a set of variables
+21264,21264,Why is t distribution used for confidence interval
+21265,21265,What is the shape of T distribution
+21266,21266,What characteristics does a Student's t distribution have
+21267,21267,Is the T distribution symmetric or skewed
+21268,21268,Is the T distribution skewed
+21269,21269,Which discrete probabilistic distribution has the highest entropy and why
+21270,21270,What does entropy mean in statistics
+21271,21271,What are model assumptions
+21272,21272,What is discriminative probabilistic model
+21273,21273,What do you mean by discrete probability
+21274,21274,How do you divide Factorials with variables
+21275,21275,What is factorial used for
+21276,21276,How is Arima calculated
+21277,21277,What is Arima time series forecasting
+21278,21278,What is the difference between class limits and class boundaries choose the correct answer below a class limits are the least and greatest numbers that can belong to the class class boundaries are the numbers that separate classes without forming gaps between them for integer data the corresponding class
+21279,21279,What are limits and boundaries
+21280,21280,What is the difference between class limits and boundaries
+21281,21281,What mean boundaries
+21282,21282,Who invented hypergeometric distribution
+21283,21283,Why is the hypergeometric distribution called so
+21284,21284,What is the relation between true positive rate and recall
+21285,21285,How do you determine the value of K in K means clustering
+21286,21286,What do you mean by K in K means clustering
+21287,21287,What is the output of the K means clustering algorithm
+21288,21288,On what basis does K means clustering define clusters
+21289,21289,Can K means algorithm detect non convex clusters
+21290,21290,Is cognitive computing AI
+21291,21291,What is difference between computer science and artificial intelligence
+21292,21292,Is cognitive computing the same as AI
+21293,21293,What is cognitive system in machine learning
+21294,21294,What is the definition of algorithm and an example
+21295,21295,Whats the definition of algorithm
+21296,21296,What are the types of algorithm
+21297,21297,What is cluster multistage sampling
+21298,21298,What are the weights in CNN
+21299,21299,What is difference between RNN and CNN
+21300,21300,What is the difference between a fully connected and convolutional neural network
+21301,21301,How has artificial intelligence made an impact in your life
+21302,21302,What are some positive ways AI could impact our future
+21303,21303,What is the uncertainty principle used for
+21304,21304,What is Heisenberg Uncertainty Principle PDF
+21305,21305,What are the applications of Heisenberg Uncertainty Principle
+21306,21306,When was the uncertainty principle developed
+21307,21307,Who created the Heisenberg Uncertainty Principle
+21308,21308,Is Heisenberg uncertainty principle true
+21309,21309,How do you cluster categorical variables
+21310,21310,Can K means be used for categorical data
+21311,21311,Why do we use a t distribution instead of a Z distribution for means
+21312,21312,What is the difference between Z value and T value
+21313,21313,What do you need for predictive analytics
+21314,21314,How do I change variable type in SPSS
+21315,21315,How do you include a categorical variable in regression
+21316,21316,How do you classify a variable as discrete or continuous
+21317,21317,How do you classify a variable
+21318,21318,What are the categories of a variable
+21319,21319,What is regularization loss
+21320,21320,What is the difference between sequential and model in keras
+21321,21321,What is a good RMS error
+21322,21322,What does RMS error tell you
+21323,21323,How is RMSE error calculated
+21324,21324,Why thresholding is usually applied to images
+21325,21325,What is Threshold computer vision
+21326,21326,What is thresholding in image segmentation
+21327,21327,How do you use the thresholding method for image segmentation
+21328,21328,What does a small coefficient of variation mean
+21329,21329,What is the significance of Gaussian distribution
+21330,21330,Why normal distribution is important in machine learning
+21331,21331,Why data distribution is important in machine learning
+21332,21332,Why is linear regression called linear
+21333,21333,What exactly does linear in linear regression mean
+21334,21334,What are F distributions used for
+21335,21335,How do you interpret an F value
+21336,21336,What does significance F mean
+21337,21337,HOW IS F value calculated
+21338,21338,What does F value mean in regression
+21339,21339,What can artificial intelligence be used for
+21340,21340,What is Ai best used for
+21341,21341,How is artificial intelligence useful
+21342,21342,How does artificial intelligence benefit society
+21343,21343,How is artificial intelligence used today
+21344,21344,How does face detection work
+21345,21345,What is meant by face detection
+21346,21346,Why do we need face recognition
+21347,21347,What is face recognition in AI
+21348,21348,What is the difference between detection and identification
+21349,21349,What's the meaning of facial recognition
+21350,21350,What is the difference between object detection and object recognition
+21351,21351,What does a positive skew show
+21352,21352,Is positively skewed distribution normal distribution
+21353,21353,Which of the following is correct in a positively skewed distribution
+21354,21354,What does it mean to be positively skewed
+21355,21355,What does a positive skew on a histogram show
+21356,21356,How do you interpret skewness in a histogram
+21357,21357,What does skew mean in box plots
+21358,21358,What does a good skew mean
+21359,21359,Is positive skew right or left
+21360,21360,What does multi class mean
+21361,21361,What are some good examples of augmented reality
+21362,21362,Where is augmented reality used
+21363,21363,What is augmented reality and how it works
+21364,21364,How does augmented reality work
+21365,21365,What is augmented reality and how is it used
+21366,21366,What are the applications of augmented reality
+21367,21367,What is augmented reality
+21368,21368,When we can use product moment correlation
+21369,21369,How do you interpret z score
+21370,21370,What does the Z score of a data point tell us
+21371,21371,How do you do a transition matrix
+21372,21372,What makes a transition matrix
+21373,21373,How do you find the transition probability matrix
+21374,21374,What is transition matrix
+21375,21375,What is a regular transition matrix
+21376,21376,What is meant by state transition matrix
+21377,21377,What's a transition matrix and what's it used for
+21378,21378,How do you find the transition matrix Markov chain
+21379,21379,How do you interpret OLS results
+21380,21380,How do you interpret multiple regression
+21381,21381,How do you explain multiple regression models
+21382,21382,What is hierarchical analysis
+21383,21383,Which one is the hierarchical clustering
+21384,21384,What kind of clustering does a hierarchical approach produce
+21385,21385,Is hierarchical clustering supervised or unsupervised
+21386,21386,Which technique is used for dimensionality reduction
+21387,21387,What models reduce dimensionality of data in NLP
+21388,21388,What is the difference between regression and classification problems in machine learning
+21389,21389,Is classification tree supervised or unsupervised
+21390,21390,How do you create a classification tree
+21391,21391,Is image classification computer vision
+21392,21392,What is image classification in deep learning
+21393,21393,What are Gaussian mixture models used for
+21394,21394,How does Gaussian process regression work
+21395,21395,How is convolution defined
+21396,21396,What are the benefits of clusters
+21397,21397,Is Gan a neural network
+21398,21398,How do you calculate RMSE in linear regression
+21399,21399,How do you calculate RMSE accuracy
+21400,21400,How do you find the discrete probability distribution
+21401,21401,How does TensorFlow do backpropagation
+21402,21402,Does TensorFlow use automatic differentiation
+21403,21403,How many neural networks are there in the brain
+21404,21404,How do you validate a decision tree
+21405,21405,How does Decision Tree calculate the estimated probabilities
+21406,21406,What is regression training
+21407,21407,How do you train a decision tree model
+21408,21408,What makes a good decision tree
+21409,21409,What is the depth of a decision tree
+21410,21410,How do you split data into training and testing and validation
+21411,21411,How do you split data into training and testing in Matlab
+21412,21412,How do you split data
+21413,21413,What is Train_test_split
+21414,21414,What is data splitting in machine learning
+21415,21415,What does a determinant of 0 mean
+21416,21416,How do you evaluate a determinant
+21417,21417,What does a determinant determine
+21418,21418,What is meant by determinant in statistics
+21419,21419,Why is Det AB )= det A det B
+21420,21420,Is Det A Det (- A
+21421,21421,What are generative algorithms
+21422,21422,How do you determine if a variable is discrete or continuous
+21423,21423,Is money a discrete or continuous variable
+21424,21424,What is a sampling distribution and how does it differ from other distributions
+21425,21425,What is the difference between a sample and a sample distribution
+21426,21426,What is the difference between at distribution and Z distribution
+21427,21427,How do you compare shapes of sampling distributions
+21428,21428,How do you calculate false positive
+21429,21429,What things can cause a false positive pregnancy test
+21430,21430,Is it more common to get a false negative or false positive pregnancy test
+21431,21431,What does the term false positive mean
+21432,21432,How can you tell a false positive
+21433,21433,Which technique is used to help reduce experimenter bias quizlet
+21434,21434,Which of the following is an example of experimenter bias
+21435,21435,Why should bias should be avoided in research
+21436,21436,How do you reduce bias in quantitative research
+21437,21437,How can experimenter effects be avoided
+21438,21438,How do you limit an experimenter bias
+21439,21439,How do you find the box and whisker plot
+21440,21440,How does a box plot work
+21441,21441,Can you find the mean from a box plot
+21442,21442,How do you solve box plot problems
+21443,21443,How do you find a Boxplot in statistics
+21444,21444,What does a box plot tell you
+21445,21445,What are the steps to creating a box plot
+21446,21446,How do you know when to use continuity correction
+21447,21447,When more variables are added to a linear regression model
+21448,21448,When there are more than one independent variables in the model then the linear model is termed as <UNK>
+21449,21449,What is a multivariate linear regression
+21450,21450,What is multidimensional Turing machine
+21451,21451,Are the multi track Turing machine
+21452,21452,How does a universal Turing machine work
+21453,21453,When was the universal Turing machine invented
+21454,21454,What is prediction in data mining
+21455,21455,What is meant by predictive analysis
+21456,21456,What is regression and types of regression
+21457,21457,What do you mean by regression analysis
+21458,21458,What is a training algorithm
+21459,21459,What is neural processing
+21460,21460,What is a neural network processor
+21461,21461,What is training data and testing data in machine learning
+21462,21462,What is meant by test data
+21463,21463,How do you split data into training and testing
+21464,21464,What is the difference between training data and testing data
+21465,21465,How much data should you allocate for your training and test sets
+21466,21466,Can decision trees be used for performing clustering
+21467,21467,Which of the following is needed in K means clustering
+21468,21468,What is AI photography
+21469,21469,What does AI do in camera
+21470,21470,What is AI Cam
+21471,21471,What is the function of AI camera
+21472,21472,What is AI mode in camera
+21473,21473,How do you use AI camera
+21474,21474,What is the features of AI camera
+21475,21475,How do you increase R2 in regression
+21476,21476,How can we improve accuracy
+21477,21477,How can you increase the accuracy of a logistic regression model
+21478,21478,What is the probability of false alarm
+21479,21479,Why is data normality important
+21480,21480,How do you run Inter rater reliability in SPSS
+21481,21481,What does kappa statistic measure
+21482,21482,How do you calculate Kappa in SPSS
+21483,21483,How do you use Cohen's kappa in SPSS
+21484,21484,What does the GLM function do in R
+21485,21485,What does GLM mean in R
+21486,21486,What is the difference between LM and GLM in R
+21487,21487,What makes a sample unbiased
+21488,21488,How do you show something is unbiased
+21489,21489,Is the sample mean an unbiased estimator
+21490,21490,Why is it important to use bias in feed forward Ann
+21491,21491,What is the process of neural transmission
+21492,21492,What is neural firing
+21493,21493,What is neural communication
+21494,21494,Is random forest regression linear
+21495,21495,What is random forest regression used for
+21496,21496,How does a decision tree Regressor work
+21497,21497,How does random forest predict probability
+21498,21498,How do you interpret negative skewness
+21499,21499,What does Pearson correlation coefficient mean
+21500,21500,What are you doing when you create a frequency distribution
+21501,21501,What is frequency distribution in statistics
+21502,21502,What is the purpose of frequency
+21503,21503,Why we construct a frequency distribution and a histogram for a data set
+21504,21504,What is a single neuron neural network
+21505,21505,What are the 2 types of fallacy
+21506,21506,What are 2 logical fallacies
+21507,21507,What principal component analysis tells us
+21508,21508,What are the assumptions behind OLS linear regression
+21509,21509,What is the orthogonality assumption in OLS
+21510,21510,What is the significance of K in K means algorithm
+21511,21511,What are the objectives of cluster analysis
+21512,21512,What is the aim of clustering algorithm
+21513,21513,How do you define outliers in data
+21514,21514,How do you determine if a data point is an outlier
+21515,21515,What is an outlier explain with one example
+21516,21516,How do you determine if there are any outliers
+21517,21517,How do you find outliers in continuous data
+21518,21518,How do you know if t test is paired
+21519,21519,What is a t test used for
+21520,21520,What is data description in machine learning
+21521,21521,What is the difference between linear regression and nonlinear regression
+21522,21522,Why is sentiment analysis a useful NLP approach
+21523,21523,How accurate is sentiment analysis
+21524,21524,Is it appropriate to use a normal distribution to approximate the binomial distribution
+21525,21525,When can the Poisson distribution be used to approximate the binomial distribution
+21526,21526,How do you change a binomial distribution to a normal distribution
+21527,21527,How do you find the z score of a binomial distribution
+21528,21528,How do you find the probability of a standard normal distribution
+21529,21529,What is the probability that a data value in a normal distribution
+21530,21530,What is the purpose of K fold cross validation
+21531,21531,What is CV score in machine learning
+21532,21532,What determines the size of the sample to be used in a study
+21533,21533,What is path analysis used for
+21534,21534,How do you perform a path analysis
+21535,21535,What is the difference between SEM and path analysis
+21536,21536,How do you conduct a path analysis
+21537,21537,What is path analysis structural equation modeling
+21538,21538,What are the different situations which necessitate feature extraction
+21539,21539,What does regression towards the mean mean
+21540,21540,What is regression bias
+21541,21541,Why it is called linear regression
+21542,21542,What is regression through the origin
+21543,21543,What does the error term in regression represent
+21544,21544,What are the statistical tools used for experimental research
+21545,21545,How do you analyze experimental data
+21546,21546,What are statistical methods
+21547,21547,What does post hoc mean in statistics
+21548,21548,What is meant by Laplace smoothing in naive Bayes
+21549,21549,What is RNN CNN
+21550,21550,How do you Analyse chi square data
+21551,21551,What type of data is used in a chi square test
+21552,21552,How do you analyze chi square data in SPSS
+21553,21553,What is probability explain
+21554,21554,What is probability and its types
+21555,21555,What is the danger of confirmation bias
+21556,21556,What are the examples of sample
+21557,21557,What is sample and sampling technique
+21558,21558,What is the use of power spectral density
+21559,21559,What does a negative correlation mean
+21560,21560,How do you interpret a negative correlation coefficient
+21561,21561,What does a weak negative correlation coefficient mean
+21562,21562,How do you solve a negative coefficient
+21563,21563,What do the coefficients in a regression mean
+21564,21564,What does r2 tell you in regression
+21565,21565,How do you know if a coefficient is statistically significant
+21566,21566,What does the coefficient of a regression tell you
+21567,21567,What are features in an image
+21568,21568,How is probability used in everyday life
+21569,21569,What is conditional probability used for
+21570,21570,How are conditional probability and independence related in real world experiments
+21571,21571,Why is knowing the probability of an event useful to real world application scenarios
+21572,21572,What is the reason for taking a simple random sample instead of a convenience sample
+21573,21573,Is Multicollinearity a time series data problem
+21574,21574,What is Multicollinearity in data
+21575,21575,How do I add a median filter to a photo
+21576,21576,What is mean in image processing
+21577,21577,What is a filter and why filtering is done
+21578,21578,Why is filtering needed
+21579,21579,How do you apply filter to an image
+21580,21580,What is batch processing explain
+21581,21581,What is mean by batch production
+21582,21582,What is batch processing and stream processing
+21583,21583,What do you mean by batch processing
+21584,21584,What does a normal distribution histogram mean
+21585,21585,Does the histogram appear to approximate a normal distribution
+21586,21586,Is Normal Distribution A histogram
+21587,21587,How do you fit a normal distribution into a histogram
+21588,21588,What makes the normal distribution a probability distribution
+21589,21589,How do you handle imbalanced data in deep learning
+21590,21590,Why do we use pipeline in machine learning
+21591,21591,What is the meaning of pipeline in machine learning
+21592,21592,What is pipeline in deep learning
+21593,21593,What is the role of indicator in titration
+21594,21594,What is the role of an indicator
+21595,21595,How do indicators work
+21596,21596,Is discrete data qualitative or quantitative
+21597,21597,Is quantitative variable discrete or continuous
+21598,21598,Are years discrete or continuous
+21599,21599,Is year a discrete variable
+21600,21600,How do you calculate reliability
+21601,21601,How do you calculate MTTF reliability
+21602,21602,How can we measure reliability
+21603,21603,What statistic measures reliability
+21604,21604,How is test reliability determined
+21605,21605,What is unique about a stratified sample
+21606,21606,When would you use a stratified sample
+21607,21607,Which type of sampling is more accurate Why
+21608,21608,Which sampling method is practically best sampling method
+21609,21609,Why simple random sampling is the best
+21610,21610,What is AI towards data science
+21611,21611,What is AI in data
+21612,21612,Should I study AI or data science
+21613,21613,Is Data Science and AI related
+21614,21614,What subjects do you need for AI
+21615,21615,What is sequential data analysis
+21616,21616,What is sequence data in machine learning
+21617,21617,How do you calculate Learning percentage
+21618,21618,What is learning curve rate
+21619,21619,How is η pronounced
+21620,21620,What is the difference between Epsilon and ETA
+21621,21621,What is the sign of ETA
+21622,21622,What does bivariate normality mean
+21623,21623,What do we mean bY normal distribution
+21624,21624,What is the meaning of probability distribution
+21625,21625,What is the random variable in normal distribution
+21626,21626,What is the difference between neural network and artificial neural network
+21627,21627,What is the difference between AI and deep learning
+21628,21628,Are AI Artificial Intelligence ml machine learning and DL deep learning same
+21629,21629,What are the types of estimation
+21630,21630,What is the difference between point estimator and interval estimator
+21631,21631,What is point and interval estimation
+21632,21632,What is purpose of estimate
+21633,21633,What are the different methods of estimation
+21634,21634,What is the common method of product estimation
+21635,21635,Why do we use sampling with replacement
+21636,21636,Is it better to sample with or without replacement
+21637,21637,Why are the with replacement and without replacement probability different
+21638,21638,What is a random error definition
+21639,21639,What is random error example
+21640,21640,Is human error random error
+21641,21641,What type of response variable is used for regression
+21642,21642,What effect does switching the explanatory and response variables have on the regression line
+21643,21643,What are the explanatory and response variables
+21644,21644,When the explanatory variable is categorical and the response variable is quantitative what type of plot would be appropriate
+21645,21645,Is naive Bayes affected by feature scaling
+21646,21646,Are neural networks affected by feature scaling
+21647,21647,Which algorithm is affected by scale of data
+21648,21648,Does K means require scaling
+21649,21649,What is Algorithm explain
+21650,21650,Is linear regression predictive
+21651,21651,Is linear regression a machine learning model
+21652,21652,What type of analysis is linear regression
+21653,21653,What do you understand by Markov process
+21654,21654,How do you make a TensorFlow
+21655,21655,What is the difference between classes and instances
+21656,21656,What is backpropagation neural network
+21657,21657,What is meant by back propagation in Ann
+21658,21658,What is the difference between image classification and object detection
+21659,21659,What is meant by image classification
+21660,21660,What is image classification in computer vision
+21661,21661,What are the image segmentation techniques
+21662,21662,What is image segmentation in computer vision
+21663,21663,What is regularization method
+21664,21664,What is kernel size in CNN
+21665,21665,What is a kernel size
+21666,21666,What is image kernel
+21667,21667,What is filter in neural network
+21668,21668,Why is linear regression sensitive to outliers
+21669,21669,Which method is sensitive to outliers
+21670,21670,What is sensitivity in logistic regression
+21671,21671,Is a regression equation sensitive to outliers
+21672,21672,Why are outliers a problem for regression analysis
+21673,21673,Are outliers a problem in multiple regression
+21674,21674,When should outliers be excluded from a regression analysis
+21675,21675,Should you remove outliers from regression
+21676,21676,What is outliers in regression analysis
+21677,21677,Is SVM sensitive to outliers
+21678,21678,Is decision tree sensitive to outliers
+21679,21679,Is LDA a dimensionality reduction
+21680,21680,What is greedy method explain with example
+21681,21681,What is drift in machine learning
+21682,21682,What is bias and variance in regression
+21683,21683,How do you convolve two functions
+21684,21684,What is test strategy example
+21685,21685,What is meant by test strategy
+21686,21686,What is Test Plan vs test strategy
+21687,21687,What test strategy contains
+21688,21688,What are test design techniques
+21689,21689,What are the different test case design techniques
+21690,21690,What are the different types of testing techniques
+21691,21691,How many test case design techniques are there
+21692,21692,Can you use Lasso for logistic regression
+21693,21693,How many layers do deep neural networks have
+21694,21694,How does multiple testing correction work
+21695,21695,How is FDR P value calculated
+21696,21696,What is a sigmoid activation function
+21697,21697,What gives nonlinearity to a neural network
+21698,21698,How do I find the optimal batch size
+21699,21699,What is optimum batch size
+21700,21700,What is logistic regression in machine learning with example
+21701,21701,How do you do logistic regression
+21702,21702,What is dimensional analysis and where do we use this method
+21703,21703,What are the application of dimensional analysis
+21704,21704,How do you do double dimensional analysis
+21705,21705,How is FFT frequency calculated
+21706,21706,How do you extract frequency from FFT
+21707,21707,What is the frequency range of FFT
+21708,21708,What do you mean by decomposition of time series
+21709,21709,What is multiplicative decomposition model
+21710,21710,What are the commonly used model in time series analysis
+21711,21711,Which model of time series is used more frequently
+21712,21712,How do the additive and multiplicative models of time series differ from each other why is the multiplicative model the most commonly used in time series analysis
+21713,21713,What do you mean by reinforcement learning
+21714,21714,What happens when power factor high
+21715,21715,Which of the following are false regarding reinforcement learning
+21716,21716,What is the most popular tool for data visualization
+21717,21717,Which are pros of data visualization
+21718,21718,What is the power of Visualisation
+21719,21719,What are benefits of visualization
+21720,21720,What is KNN classification algorithm
+21721,21721,What is meant by two events being statistically independent
+21722,21722,How do you know if a probability is independent
+21723,21723,How do you do independent and dependent events
+21724,21724,What are independent and dependent events in probability
+21725,21725,Why Adam Optimizer is best
+21726,21726,How do you measure dissimilarity
+21727,21727,What are moments physics
+21728,21728,Do neurons light up
+21729,21729,How does a neuron look
+21730,21730,Can you see neurons
+21731,21731,Do Neurons transmit information
+21732,21732,Which neuron sends information
+21733,21733,How does information travel through neurons
+21734,21734,How do neurons convey information
+21735,21735,Does PCA improve random forest
+21736,21736,How can we improve random forest performance
+21737,21737,What is confidence in object detection
+21738,21738,What is SSD in object detection
+21739,21739,Who came up with signal detection theory
+21740,21740,What's a class interval
+21741,21741,How do you find the class interval in a frequency distribution
+21742,21742,What is class in frequency distribution
+21743,21743,What is a normalized score
+21744,21744,How do you find the Z score on Statkey
+21745,21745,How do you normalize data z score
+21746,21746,What is Z score Normalisation
+21747,21747,How do you find data from Z score
+21748,21748,What is Z score normalization in data mining
+21749,21749,What does it mean to normalize a score
+21750,21750,Why do we Normalise data
+21751,21751,Why do you transform raw scores into z scores
+21752,21752,What does a stepwise regression do
+21753,21753,When should you use stepwise regression
+21754,21754,How do you find the characteristic function of an exponential distribution
+21755,21755,How do you simulate an exponential distribution
+21756,21756,What is SVM linear kernel
+21757,21757,What means kernel
+21758,21758,What is a defining characteristic of a eigenvalue eigenvector pair
+21759,21759,What does eigenvector mean
+21760,21760,What is an eigenvector used for
+21761,21761,What is the meaning of the word logarithm
+21762,21762,How are logarithms calculated
+21763,21763,Is Log10 the same as log
+21764,21764,What is the value of log 11
+21765,21765,What does random event mean
+21766,21766,What is a random phenomenon
+21767,21767,How is the cumulative distribution function derived
+21768,21768,Is the CDF the derivative of the PDF
+21769,21769,What is data mining and data analysis
+21770,21770,What is data mining and its techniques
+21771,21771,What is data analysis in data mining
+21772,21772,What type of data is used in data mining
+21773,21773,What is data and data analysis
+21774,21774,What is the difference between analysis and analyst
+21775,21775,Why do we need anomaly detection
+21776,21776,How do you find the sample mean given the population mean
+21777,21777,Is the sample mean the same as the population mean
+21778,21778,Why is it important to distinguish between correlation and cause and effect
+21779,21779,Why is the difference between correlation and causation
+21780,21780,What is the difference between a correlational study and an experiment quizlet
+21781,21781,What criteria can be used to distinguish between correlation and cause and effect
+21782,21782,Why is it a fallacy to confuse causation and correlation
+21783,21783,How can correlation be misinterpreted as causation
+21784,21784,Which of the following is common goal of statistical Modelling
+21785,21785,What are the advantages of Fourier transform
+21786,21786,Why Fourier transform is used in signal processing
+21787,21787,Is anomaly detection unsupervised learning
+21788,21788,Is outlier analysis a type of supervised learning
+21789,21789,What is meant by outlier analysis
+21790,21790,What does gradient information mean
+21791,21791,What is gradient computer
+21792,21792,What is gradient based learning
+21793,21793,What is epoch loss
+21794,21794,How is epoch loss calculated
+21795,21795,How do you calculate average deviation
+21796,21796,Why we calculate the standard deviation
+21797,21797,What does deviation from the mean mean
+21798,21798,What is the formula of mean deviation from mean
+21799,21799,Is Standard Deviation The average distance from the mean
+21800,21800,How do you calculate the mean absolute deviation
+21801,21801,What is the formula for mean deviation of grouped data
+21802,21802,What are limitations of K means clustering
+21803,21803,What is the smallest value a variance can be
+21804,21804,What is minimum variation
+21805,21805,What does the variance of the binomial distribution depend on
+21806,21806,What is the standard deviation of a binomial distribution
+21807,21807,What is the variance of a Bernoulli distribution
+21808,21808,How do you find the maximum variance
+21809,21809,What is considered a large variance in statistics
+21810,21810,How do you find the measure of variation
+21811,21811,What is overtraining in neural network
+21812,21812,What is SVM example
+21813,21813,What is meant by support vector machine
+21814,21814,What is SVC in machine learning
+21815,21815,Why does boosting reduce bias
+21816,21816,How does maximum likelihood relate to OLS
+21817,21817,What is OLS in machine learning
+21818,21818,What is MLE in logistic regression
+21819,21819,What is Backpropagation in neural network Mcq
+21820,21820,How do you interpret Multicollinearity in SPSS
+21821,21821,How do you find the probability of a gamma distribution
+21822,21822,What is the major weakness of non probability sampling
+21823,21823,Is work a tensor
+21824,21824,What is a tensor in machine learning
+21825,21825,What is tensors in neural network
+21826,21826,What is score model
+21827,21827,What is scoring in data analysis
+21828,21828,How many units is Lstm
+21829,21829,What is the difference between cell state and hidden state
+21830,21830,How do you calculate Lstm parameters
+21831,21831,How do you interpret a scatter plot correlation
+21832,21832,What kind of data does a scatter plot represent
+21833,21833,How do you describe the distribution of a scatter plot
+21834,21834,What does a scatter plot tell us about your data
+21835,21835,How do you predict data on a scatter plot
+21836,21836,What is the difference between tokenization and encryption
+21837,21837,What is difference between hashing and encryption
+21838,21838,How do you do regression predictions
+21839,21839,How do you use the regression equation
+21840,21840,What is a predictor in regression analysis
+21841,21841,How is regression used in forecasting
+21842,21842,What can linear regression be used for
+21843,21843,How do you find the mean of the normal curve
+21844,21844,Why is the mean of a normal distribution zero
+21845,21845,How do you read a bell curve
+21846,21846,What are the general tasks that are performed with back propagation algorithm
+21847,21847,How does time series analysis work in R
+21848,21848,How do you analyze data over time
+21849,21849,How can hindsight bias affect research
+21850,21850,How does bias affect decision making
+21851,21851,What do Hindsight 20/20 mean
+21852,21852,Why is the series 1 N divergent
+21853,21853,What does Drop_remainder true do
+21854,21854,What is buffer size in TensorFlow
+21855,21855,How do you find the critical value for a one tailed test
+21856,21856,How do you find the critical value in a hypothesis test
+21857,21857,How many rejection regions are there in a two tailed test
+21858,21858,How do you know if its a right tailed test
+21859,21859,What is SVM and when it is used
+21860,21860,What is the loss function in SVM
+21861,21861,What is the shape of loss landscape during optimization of SVM
+21862,21862,What is 2 norm of a vector
+21863,21863,What is the P norm
+21864,21864,When was ImageNet created
+21865,21865,Who made ImageNet
+21866,21866,How big is ImageNet
+21867,21867,Is linear regression sensitive to outliers
+21868,21868,Why linear regression is sensitive to outliers
+21869,21869,How do you deal with outliers in linear regression
+21870,21870,What do regressions tell us
+21871,21871,Why do we use regression analysis
+21872,21872,What is a good model accuracy
+21873,21873,How do you check logistic regression accuracy
+21874,21874,How do you calculate accuracy in regression
+21875,21875,What are the problems with hill climbing algorithm
+21876,21876,What is meant by sample method
+21877,21877,What is meant by sample method Class 11
+21878,21878,What is mean by sampling
+21879,21879,What is sample and its types
+21880,21880,Which of the following method is used for hierarchical clustering
+21881,21881,On which metric are based Dendrograms
+21882,21882,What are confounding variables
+21883,21883,What does it mean to control for confounding variables
+21884,21884,Do you train unsupervised learning
+21885,21885,How do you construct a sampling distribution of the mean
+21886,21886,How do you use the word boost
+21887,21887,What information can be obtained from a cross sectional study
+21888,21888,What happens if we use a learning rate that is too large
+21889,21889,What is an integral matrix
+21890,21890,What is the integration of x2
+21891,21891,What do you mean derivative of a vector field
+21892,21892,Can you take the gradient of a vector
+21893,21893,Is ml the same as AI
+21894,21894,Are AI and machine learning the same thing
+21895,21895,What is the difference between AI ml and deep learning
+21896,21896,How do you describe large numbers
+21897,21897,What are hidden layers in CNN
+21898,21898,How do you find a vector space
+21899,21899,What means data imbalance
+21900,21900,How do you balance an unbalanced dataset
+21901,21901,In what ways can output be determined from activation value
+21902,21902,How does AI produce data
+21903,21903,What type of data is used in machine learning
+21904,21904,What data did you collect in machine learning
+21905,21905,How are the data collected
+21906,21906,Where do we collect data from in AI
+21907,21907,What is data collection in AI
+21908,21908,What is data and artificial intelligence
+21909,21909,How are data collected
+21910,21910,How is data being collected
+21911,21911,What are ways to collect data
+21912,21912,What is experimental statistics
+21913,21913,What does design mean in statistics
+21914,21914,What are examples of statistical techniques
+21915,21915,What are statistical experiments
+21916,21916,What is statistical experiment in probability
+21917,21917,What is the purpose of statistical experiment
+21918,21918,What is statistical experimental design
+21919,21919,Why does fitting multiple linear regression model helps to explain the outcome better
+21920,21920,What are the applications of regression
+21921,21921,What are the applications of linear regression
+21922,21922,What is a mixed Anova used for
+21923,21923,How do you find the Z value in hypothesis testing
+21924,21924,How do you find the Z test
+21925,21925,How do you calculate the Z value
+21926,21926,How do you calculate a one sample z test
+21927,21927,What is the z value in hypothesis testing
+21928,21928,How do you calculate z in hypothesis testing
+21929,21929,What are the critical values of Z
+21930,21930,What is the purpose of signal processing
+21931,21931,What are the types of signals in data communication
+21932,21932,What is quantile and percentile
+21933,21933,What are Quantiles used for
+21934,21934,Is quantile the same as quartile
+21935,21935,What is the basis of the formula used in the Quantiles
+21936,21936,What does model deployment mean
+21937,21937,What is data deployment
+21938,21938,Why is machine learning deployment hard
+21939,21939,How do you identify a sample frame
+21940,21940,What is the sampling unit
+21941,21941,Why do we have N 1 instead of N for the sample standard deviation
+21942,21942,Why does the formula for calculating the sample variance involve division by N 1 instead of N
+21943,21943,Why does the formula use N 1 in the denominator Brainly
+21944,21944,Is standard deviation N or N 1
+21945,21945,What is random sampling
+21946,21946,What is sampling and its types
+21947,21947,Which is a random sampling method
+21948,21948,Where is random sampling used
+21949,21949,What is Time Series Analysis and its components
+21950,21950,Does Trend method use time series data
+21951,21951,What do you mean by time series analysis
+21952,21952,What is scalability in machine learning
+21953,21953,Why is scaling used in machine learning
+21954,21954,Does dual booting reduce performance
+21955,21955,What type of ML algorithm is suitable for predicting the continuous dependent variable with two different values
+21956,21956,What is continuous variable in machine learning
+21957,21957,What is Continuous Data example
+21958,21958,What does the term continuous data mean
+21959,21959,Can we use logistic regression for continuous variables
+21960,21960,How do you code backtracking
+21961,21961,Why are convolutional neural networks useful
+21962,21962,Why do you need to apply feature scaling to logistic regression
+21963,21963,What is prediction in machine learning
+21964,21964,What is the use of stride in CNN
+21965,21965,How do you find the continuous class interval
+21966,21966,What does class interval mean
+21967,21967,What is continuous series example
+21968,21968,What is the class size in statistics
+21969,21969,What are the two types of hypotheses used in a hypothesis test
+21970,21970,What are the 2 types of hypothesis
+21971,21971,What is the process of converting unstructured raw data with variances into structured raw data
+21972,21972,How would you transform unstructured data into structured data
+21973,21973,What can you do with unstructured data
+21974,21974,What is a parameter in machine learning
+21975,21975,What is a tensor used for
+21976,21976,What does a tensor look like
+21977,21977,What is a tensor in PyTorch
+21978,21978,What are tensors in deep learning
+21979,21979,What is a tensor
+21980,21980,What happens to the bias and variance when the number of training samples increases
+21981,21981,What are bias and variance and what are their relation to modeling data
+21982,21982,What effect will Regularising your weights have on the bias and variance of your model
+21983,21983,What is the difference between probability and frequency
+21984,21984,What is frequency in probability
+21985,21985,How many raw moments are there
+21986,21986,How do you find the moment of a normal distribution
+21987,21987,What is a frequency distribution graph
+21988,21988,Which graph is best for frequency distribution
+21989,21989,What is a frequency bar graph
+21990,21990,How do you interpret cumulative relative frequency
+21991,21991,What is the difference between GLM and Anova
+21992,21992,Are Anova and linear regression the same
+21993,21993,What are probability sampling techniques
+21994,21994,Why do researchers prefer the use of probability sampling techniques
+21995,21995,What is the purpose of sampling techniques
+21996,21996,What is sample size and sampling techniques
+21997,21997,Is decision tree used for regression
+21998,21998,How does decision tree regression work
+21999,21999,What is decision tree regression in machine learning
+22000,22000,What is the loss function for decision tree
+22001,22001,How does decision tree work for regression
+22002,22002,What makes a person an outlier
+22003,22003,Is being an outlier a bad thing
+22004,22004,How do you do the Gaussian blur
+22005,22005,Is Gaussian blur reversible
+22006,22006,How do you find the marginal distribution in statistics
+22007,22007,What is marginal distribution in probability
+22008,22008,How do you do a conditional distribution
+22009,22009,What is a conditional distribution of a variable
+22010,22010,Is validation data used in training
+22011,22011,What is validation in deep learning
+22012,22012,What is sigmoid function used for
+22013,22013,How do you combine classifiers
+22014,22014,How do you stack machine learning
+22015,22015,How do I combine two classifiers
+22016,22016,Which are deep neural networks
+22017,22017,Is Ann deep learning
+22018,22018,Is neural network machine learning or deep learning
+22019,22019,What is the difference between Ann and deep learning
+22020,22020,What is Ann in machine learning
+22021,22021,Is multiple regression the same as linear regression
+22022,22022,Why do we use multiple linear regression
+22023,22023,Which applications are best modeled by linear regression
+22024,22024,Is linear regression a machine learning algorithm
+22025,22025,What is Knn regression
+22026,22026,What do you mean by learning rate
+22027,22027,How can I increase my learning rate
+22028,22028,Is NLP considered machine learning
+22029,22029,What is NLP AI
+22030,22030,How does NLP work in AI
+22031,22031,Why do you use t distribution
+22032,22032,Why do we use t distribution instead of Z score to find means
+22033,22033,Is T distribution a normal distribution
+22034,22034,What is normal distribution in t test
+22035,22035,How does the T distribution compare with the normal distribution
+22036,22036,Why do t distributions tend to be flatter and more spread out than the normal distribution is
+22037,22037,What happens to the T distribution as the sample size increases
+22038,22038,What happens to the T distribution as the sample size decreases
+22039,22039,What is the entropy at equilibrium
+22040,22040,What is the Leaf's in decision tree
+22041,22041,What is Hyperplane in SVM
+22042,22042,How do you select support vectors in SVM
+22043,22043,How do you find B in SVM
+22044,22044,How do predicted and actual values compare
+22045,22045,How do you avoid omitted variable bias
+22046,22046,What is shrinkage factor
+22047,22047,What is Bayesian shrinkage
+22048,22048,How can model complexity be reduced
+22049,22049,What happens when your model complexity increases
+22050,22050,What is model complexity
+22051,22051,What is network embedding
+22052,22052,What is the term used to mean the result of a random experiment
+22053,22053,How does CNN calculate number of parameters
+22054,22054,How are trainable parameters calculated CNN
+22055,22055,How are parameters calculated in neural network
+22056,22056,How do you count parameters in a model
+22057,22057,What are the methods of random sampling
+22058,22058,What are the steps of simple random sampling
+22059,22059,What is the difference between PCA and factor analysis
+22060,22060,When would you use a factor analysis
+22061,22061,Which model is best for binary classification
+22062,22062,Can CNN be used for binary classification
+22063,22063,Can we use neural network for classification
+22064,22064,What is meant by resolution in measurement
+22065,22065,What is difference between resolution and sensitivity
+22066,22066,What is the difference between resolution and least count
+22067,22067,What is the purpose of optimizing
+22068,22068,What is the difference between independent and dependent events choose the correct answer below
+22069,22069,What does NLP include
+22070,22070,What language is preferred for analytics
+22071,22071,How do I do text analytics
+22072,22072,What does text processing mean
+22073,22073,What is the text data
+22074,22074,What is NLP machine learning
+22075,22075,What does it mean to analyze text and data
+22076,22076,What is weight in networking
+22077,22077,What are weights in artificial neural network
+22078,22078,What is supervised learning and how it works
+22079,22079,What is an example of a factorial design
+22080,22080,How do you create a factorial experiment
+22081,22081,What is a 2x2 within subjects design
+22082,22082,What do we mean by regression toward the mean
+22083,22083,Why does regression to the mean happen
+22084,22084,Is 77 a good score on the Asvab
+22085,22085,Is a 78 good on the Asvab
+22086,22086,Is 78 a good Asvab score
+22087,22087,Is 76 a good Asvab score
+22088,22088,Is 75 a good Afqt score
+22089,22089,Is a 76 A good Asvab score
+22090,22090,Is an 83 on the Asvab test good
+22091,22091,What is a good Asvab score
+22092,22092,How do you find the Pearson correlation
+22093,22093,What is the order of a tensor
+22094,22094,What is rank in a matrix
+22095,22095,How do you determine the rank of a tensor
+22096,22096,Can population and sample be the same
+22097,22097,Do the sample ranges target the value of the population range in general do sample ranges make good estimators of population ranges Why or why not
+22098,22098,What does the sample mean tell you
+22099,22099,Do the sample variances target the value of the population variance
+22100,22100,What is the mean of all possible sample means
+22101,22101,What effect does the sample size have on the standard error of the mean
+22102,22102,What is data analytics What is need of big data analytics
+22103,22103,What follows a Poisson distribution
+22104,22104,Is Poisson discrete or continuous
+22105,22105,How do you know if a distribution is binomial or Poisson
+22106,22106,How do you know if its binomial
+22107,22107,How do you find the reject region
+22108,22108,Is the P value the rejection region
+22109,22109,How do I find hidden layers
+22110,22110,What is hidden layer size
+22111,22111,What is hidden unit in neural network
+22112,22112,How do you find the z score of a data set
+22113,22113,What is the Z score formula in Excel
+22114,22114,What is the function of z score
+22115,22115,How do you find T and Z values
+22116,22116,What do you mean by real time processing
+22117,22117,What are the differences between real time and offline processing
+22118,22118,How do you stop Overfitting neural networks
+22119,22119,How does neural network detect Overfitting
+22120,22120,What is the difference between MLP and deep learning
+22121,22121,What is the general principle of an ensemble method and what is bagging and boosting in ensemble method
+22122,22122,What statistical tests are used in a correlational study
+22123,22123,What is the statistical test for correlation
+22124,22124,What other statistical tests can be used to show correlation of two variables
+22125,22125,Can Anova be used for correlation
+22126,22126,Can you correlate dichotomous variables
+22127,22127,What is a dichotomous variable
+22128,22128,What is the adjusted p value
+22129,22129,What does adjusted p value mean
+22130,22130,What is tensor of inertia
+22131,22131,Is moment of inertia a second order tensor
+22132,22132,Are moment scalar or vector
+22133,22133,Why is moment of force a vector quantity
+22134,22134,What is the quantity of moment
+22135,22135,What is a moment vector
+22136,22136,How do you memorize concepts easily
+22137,22137,How do you study concepts
+22138,22138,What is a learning concept
+22139,22139,What are the learning activities
+22140,22140,How do you automate machine learning
+22141,22141,How is AI used in automation
+22142,22142,What is AI based automation
+22143,22143,Is machine learning an automation
+22144,22144,Why is frequency distribution important
+22145,22145,What does a correlation of 0.4 mean
+22146,22146,Is 0.4 A weak correlation
+22147,22147,How do you know if a correlation is strong or weak
+22148,22148,What does correlation doesn't imply causation mean
+22149,22149,Why correlation is not causation
+22150,22150,How does the Fourier transform work
+22151,22151,Why do we use FFT
+22152,22152,Why is Fourier analysis important
+22153,22153,What is the mean of Poisson distribution
+22154,22154,How do you find the mean and standard deviation of a Poisson distribution
+22155,22155,What is the shape of a Poisson distribution
+22156,22156,What is the variance of Poisson distribution
+22157,22157,What is K in Poisson distribution
+22158,22158,What is the mean of a probability distribution quizlet
+22159,22159,What is the mean of the probability distribution Brainly
+22160,22160,What does the mean of a binomial distribution mean
+22161,22161,How do you find the gradient of a linear regression
+22162,22162,What is a common feature of e learning
+22163,22163,How does sample size affect accuracy
+22164,22164,Why is a larger sample size more accurate
+22165,22165,What happens to probability as sample size increases
+22166,22166,What happens to test statistic as sample size increases
+22167,22167,How does confidence level affect sample size
+22168,22168,What is the effect of the level of confidence on the confidence interval
+22169,22169,How different levels of confidence and sample size affect the width of the confidence interval
+22170,22170,What is level of precision in sampling
+22171,22171,How does the sample size affect the estimate
+22172,22172,How do you make predictive analytics
+22173,22173,What is predictive Modelling in Analytics
+22174,22174,Is predictive analytics a data science
+22175,22175,What is statistical decision making
+22176,22176,What do you mean by decision making
+22177,22177,How is statistics used in decision making
+22178,22178,How is statistical thinking useful and relevant in decision making processes
+22179,22179,What is swarm intelligence in artificial intelligence
+22180,22180,How does the vision system work
+22181,22181,What is sensing in machine vision
+22182,22182,What is machine vision used for
+22183,22183,What does the Y intercept mean in regression
+22184,22184,What does Y intercept mean in linear regression
+22185,22185,How do you interpret the Y intercept
+22186,22186,How do you identify data patterns
+22187,22187,Which machine learning technique is used for pattern recognition in the data
+22188,22188,How does machine learning choose data
+22189,22189,How many types of pattern recognition are there
+22190,22190,What is pattern recognition in AI
+22191,22191,What is classification in pattern recognition
+22192,22192,What defines the normal distribution of a variable
+22193,22193,What is normal data distribution
+22194,22194,What is meant by correlation matrix
+22195,22195,What is the slope of regression line
+22196,22196,What is the slope in a regression analysis
+22197,22197,How do you find the slope and intercept of a regression line
+22198,22198,How do you find the slope of a regression line in Excel
+22199,22199,How do you find the slope and y intercept of a regression line
+22200,22200,How do you find the slope in R
+22201,22201,How do you find the slope of the data
+22202,22202,How do I find the slope of a regression line
+22203,22203,What is meant by a marginal distribution What is meant by a conditional distribution What is meant by a marginal distribution a a marginal distribution is the relative distribution of both row or column variables in the contingency table B a marginal distribution is the effect of either row variable or the column variable in the contingency table C a marginal
+22204,22204,How do you find marginal distribution AP stats
+22205,22205,How do you check if the regression model fits the data well
+22206,22206,How do you decide which variables are the most important in a regression
+22207,22207,Which of the following functions can be used as an activation function in the output layer if we wish to predict the probabilities of N classes p1 p2 PK such that sum of P over all n equals to 1
+22208,22208,What's the reason behind the boundedness of the output function in activation dynamics *
+22209,22209,What is an activation value in artificial neuron Mcq
+22210,22210,How can Multicollinearity be reduced in regression
+22211,22211,How does ridge regression work
+22212,22212,Is ridge regression biased
+22213,22213,What does ridge regression do
+22214,22214,What is the difference between variance and variation
+22215,22215,What does coefficient of variation mean
+22216,22216,How do you find the variance and coefficient of variation
+22217,22217,What is the relationship between standard deviation and coefficient of variation
+22218,22218,Is CV a measure of precision
+22219,22219,What is are true about ridge regression when Lambda is 0
+22220,22220,What is lambda in Glmnet
+22221,22221,Is SD a measure of central tendency
+22222,22222,Is Mean Deviation a measure of central tendency
+22223,22223,Is mean absolute deviation a measure of center
+22224,22224,How do you interpret the mean absolute deviation
+22225,22225,Why is mean absolute deviation not used
+22226,22226,Who invented signal detection
+22227,22227,What is signal detection theory used for
+22228,22228,What is signal detection analysis
+22229,22229,How do you detect signals
+22230,22230,What is a signal detection task you frequently encounter
+22231,22231,Is uniform distribution discrete or continuous
+22232,22232,What is the difference between uniform distribution and binomial distribution
+22233,22233,What does a uniform distribution mean
+22234,22234,What is planning and types of planning in artificial intelligence
+22235,22235,What is an example of a moderating variable
+22236,22236,What is the difference between moderating and mediating variables
+22237,22237,How do you test for moderation effects
+22238,22238,How do you calculate moderation
+22239,22239,How do we test for moderation quizlet
+22240,22240,How do you measure statistical validity
+22241,22241,What determines validity of experiment
+22242,22242,How do you explain validity of results
+22243,22243,What do you mean by validity of a test
+22244,22244,What are the properties of good estimators
+22245,22245,Why do we need estimation
+22246,22246,How do you print a tensor object
+22247,22247,How do I print a tensor value in keras
+22248,22248,How do I print a model summary in Tensorflow
+22249,22249,How do you calculate eigen function
+22250,22250,What is the formula for risk
+22251,22251,What does risk difference mean
+22252,22252,What does a risk ratio of 2 mean
+22253,22253,How do you calculate risk increase
+22254,22254,What is the formula for calculating relative risk
+22255,22255,What is meant by S curve
+22256,22256,What is the S curve in innovation
+22257,22257,What is the diffusion S curve
+22258,22258,What does the S curve model of the diffusion of innovation illustrate
+22259,22259,What are some reasons that both technology improvement and technology diffusion exhibit S shape curves
+22260,22260,What does it mean when your data is skewed to the left
+22261,22261,How do you describe a left skewed distribution
+22262,22262,How do you handle left skewed data
+22263,22263,Why would a histogram be skewed to the left
+22264,22264,What does positive interaction mean
+22265,22265,How do you know if an interaction effect is significant
+22266,22266,What is axiomatic approach to probability
+22267,22267,Does T distribution have a mean of 0
+22268,22268,What does the T value mean
+22269,22269,How do you assess assessment
+22270,22270,What is the meaning of accuracy and precision
+22271,22271,How do you write logarithmic equations
+22272,22272,How do you find the log function
+22273,22273,What is logarithmic equation with example
+22274,22274,What is a logarithmic function
+22275,22275,How do you write a logarithmic equation
+22276,22276,How do you use the log function
+22277,22277,What is the difference between logarithmic and exponential growth
+22278,22278,Is a logarithmic scale exponential
+22279,22279,What is the relationship between log and exponential
+22280,22280,What is the goodness of fit test for the multinomial experiment
+22281,22281,What is a multinomial experiment
+22282,22282,What is difference between polynomial and multinomial
+22283,22283,Is Arima a machine learning algorithm
+22284,22284,Why do we use dimensional analysis
+22285,22285,How is dimensional analysis used in the real world
+22286,22286,What is the null hypothesis for white test
+22287,22287,Why do we use CNN
+22288,22288,What are the uses of NLP
+22289,22289,Why do we need NLP
+22290,22290,What is power factor correction and the reasons why do we need that
+22291,22291,What is the significance of p value in statistics
+22292,22292,What test uses p value
+22293,22293,Why are p values used in statistical analysis
+22294,22294,What does significance mean in statistics
+22295,22295,What does it mean if 0.05 is significant
+22296,22296,What is an Lstm model
+22297,22297,How do you split a dataset into train and test dataset in R
+22298,22298,How do you split a test and training set in R
+22299,22299,How do you split data in R
+22300,22300,What is Overfitting Please briefly describe what is bias vs variance
+22301,22301,In which situation is it appropriate to use the normal approximation to the binomial
+22302,22302,What is the benefit of randomization
+22303,22303,What are the two main purposes of randomization
+22304,22304,What is the primary purpose of randomization quizlet
+22305,22305,How do you calculate marginal probabilities
+22306,22306,What best defines a conditional probability
+22307,22307,How do you find the marginal probability in Excel
+22308,22308,Are error bars standard deviation or standard error
+22309,22309,Is it better to use standard deviation or standard error
+22310,22310,Why is standard error of the mean usually preferred as an error bar on a sample mean rather than standard deviation
+22311,22311,How do you use standard deviation to plot error bars
+22312,22312,What is the N in statistics
+22313,22313,What is sample size n
+22314,22314,What is N in sampling distribution
+22315,22315,What does N A mean in probability
+22316,22316,Why do we use N 1 in variance
+22317,22317,Why does variance use n 1
+22318,22318,What does N stand for in statistics
+22319,22319,What is N in a sample
+22320,22320,What does the lowercase n mean in statistics
+22321,22321,Why is it N 1 in sample variance
+22322,22322,Why do we use N 1 in standard deviation
+22323,22323,Why do we divide by N 1 in standard deviation
+22324,22324,Why is Multicollinearity a problem in linear regression the least squares solution is undefined
+22325,22325,Which of the following would indicate the possible presence of multicollinearity in a regression analysis
+22326,22326,What is the maximum quantization error
+22327,22327,What do you mean by quantization of charge
+22328,22328,What do you mean by quantization of charge Class 12
+22329,22329,Which of the following explains Availability Bias
+22330,22330,How can you prevent Availability Bias
+22331,22331,How do you counteract cognitive bias
+22332,22332,How do you avoid action bias
+22333,22333,Is availability heuristic a bias
+22334,22334,What is availability bias example
+22335,22335,What is an estimator in statistics
+22336,22336,What is the difference between an estimator and an estimate
+22337,22337,What is the difference between an estimator and an estimate Chegg
+22338,22338,What is the difference between a point estimator and a point estimate
+22339,22339,When testing for differences of means you can base statistical inference on the
+22340,22340,Can AI take over human intelligence
+22341,22341,What happens when AI becomes smarter than humans
+22342,22342,What does sampling an image mean
+22343,22343,What is image sampling and quantization
+22344,22344,What is the use of quantization
+22345,22345,What is another term for true positive rate
+22346,22346,What is the importance of the normal curve
+22347,22347,Where does the normal curve come from
+22348,22348,When can you assume a normal distribution
+22349,22349,What is K fold cross validation
+22350,22350,Why k fold cross validation is better than hold out cross validation
+22351,22351,What is stratified k fold cross validation
+22352,22352,How does stratified K fold work
+22353,22353,What is K in K fold cross validation
+22354,22354,What is the function of cluster
+22355,22355,What is the meaning of cluster
+22356,22356,How do you use cluster
+22357,22357,What is cluster computing
+22358,22358,What is testing dataset in machine learning
+22359,22359,Why is test dataset used
+22360,22360,How do you choose a test and training set
+22361,22361,What are the benefits of clustering
+22362,22362,What is the goal of clustering
+22363,22363,What is temporal clustering
+22364,22364,Which of the following are the spatial clustering algorithm
+22365,22365,What is cross sectional regression analysis
+22366,22366,How do you calculate a trend in a time series
+22367,22367,What is the meaning of trend analysis
+22368,22368,What is the purpose of sensitivity analysis and how can it be useful
+22369,22369,What is sensitivity analysis analysis
+22370,22370,What is sensitivity analysis PDF
+22371,22371,How do you do a sensitivity analysis
+22372,22372,When would you use sensitivity analysis
+22373,22373,What does the S curve represent
+22374,22374,What is the S curve of learning
+22375,22375,What does true negative mean
+22376,22376,What is better false positive or false negative
+22377,22377,What does the sign of the correlation coefficient tell you
+22378,22378,How is AI being used today
+22379,22379,Is it possible for AI to take over the world
+22380,22380,What does the coefficient of determination R2 tell you
+22381,22381,What is the adjusted coefficient of determination
+22382,22382,What does Adjusted R2 mean
+22383,22383,Why is R Squared less than adjusted R squared
+22384,22384,What kind of algorithm would be required for the kind of predictive analysis
+22385,22385,How do you test the relationship between two ordinal variables
+22386,22386,Can you correlate ordinal variables
+22387,22387,Which correlation is suitable for quantitative and ordinal variables
+22388,22388,What is the difference between Pearson correlation and Spearman's rank correlation
+22389,22389,How do frames differ from semantic nets
+22390,22390,What is a frame in AI
+22391,22391,What do you mean by semantic network
+22392,22392,How do you find the degrees of freedom for an independent t test
+22393,22393,What formula is used to calculate the degrees of freedom for the t test for comparing two population means when the population variances are unknown and unequal
+22394,22394,What type of data is Likert scale
+22395,22395,What type of statistical test is Anova
+22396,22396,What kind of statistics is at test
+22397,22397,What is the value of a test statistic
+22398,22398,What is the difference between AZ statistic and at statistic
+22399,22399,What is variance in decision tree
+22400,22400,How do you measure the variance of a model
+22401,22401,What is variance in machine learning
+22402,22402,How do you find the variance and bias of a model
+22403,22403,What is causal learning
+22404,22404,What is causal AI
+22405,22405,What is machine learning give one example
+22406,22406,What is inference learning
+22407,22407,How can we prevent selection bias
+22408,22408,Does convenience sampling have bias
+22409,22409,What are two ways to reduce bias in your research
+22410,22410,How can sampling error be avoided
+22411,22411,What sampling errors could occur and how could they be avoided
+22412,22412,How do you ensure random sampling
+22413,22413,How do you control sampling bias
+22414,22414,How can learning be measured
+22415,22415,What are the basic elements of active learning
+22416,22416,What are the basic elements of active teaching and active learning
+22417,22417,What are the elements of learning
+22418,22418,Is IID a word
+22419,22419,How do you calculate odds ratio and effect size
+22420,22420,How big is a big odds ratio
+22421,22421,How do you translate odds ratios
+22422,22422,What do you mean by partition
+22423,22423,How do you use the law of total probability
+22424,22424,What do u mean by partition
+22425,22425,When two events are disjoint are they independent
+22426,22426,How do you know if two events are independent
+22427,22427,Are joint events independent
+22428,22428,Can two events with nonzero probabilities be both independent and mutually exclusive
+22429,22429,How do you determine if two events are independent
+22430,22430,What is calibration data
+22431,22431,What does it mean to calibrate something
+22432,22432,What is calibration and why is it important
+22433,22433,What is Generalization in reinforcement learning
+22434,22434,How do you improve accuracy in regression
+22435,22435,How can multiple regression models be improved
+22436,22436,How do you know if a linear model is good
+22437,22437,What is N gram smoothing
+22438,22438,Is Predictive Analytics machine learning
+22439,22439,How accurate is Artificial Intelligence
+22440,22440,What does R Squared mean in linear regression
+22441,22441,Are inferential statistics a type of descriptive statistic
+22442,22442,What statistical methods are used in inferential studies
+22443,22443,How do you prove probability is mutually exclusive
+22444,22444,What is SVM with linear kernel
+22445,22445,How can SVM be applied on non linear data
+22446,22446,What is nonlinear SVM
+22447,22447,What is bias unit in neural network
+22448,22448,How is EDA used in data science
+22449,22449,What is EDA in machine learning
+22450,22450,How do you do a face recognition search
+22451,22451,What are the characteristics of normal probability curve
+22452,22452,What defines a normal curve
+22453,22453,What does OLS stand for in statistics
+22454,22454,How is OLS calculated
+22455,22455,How do you know when to use exponential distribution
+22456,22456,What is the mode of exponential distribution
+22457,22457,What is a negative exponential function
+22458,22458,Is Poisson distribution exponential
+22459,22459,What does impute missing data mean
+22460,22460,How do you use K fold
+22461,22461,What is K fold used for
+22462,22462,Is K fold linear in K
+22463,22463,What does Cross_val_score mean
+22464,22464,What is the use of K fold cross validation
+22465,22465,What is KFold in Python
+22466,22466,What are the advantages and disadvantages of K fold cross validation relative to
+22467,22467,How do we know when data are normally distributed
+22468,22468,What is symbolic AI approach
+22469,22469,How is machine learning different than a symbolic artificial intelligence system
+22470,22470,What is symbolic reasoning in AI
+22471,22471,What is the difference between endogenous and exogenous
+22472,22472,How do you find the frequency of a class interval
+22473,22473,How do you construct a frequency distribution class
+22474,22474,How do you do Poisson regression in SPSS
+22475,22475,How do you do a regression assumption in SPSS
+22476,22476,What is the distribution of a histogram
+22477,22477,How can a histogram or distribution be used to describe populations
+22478,22478,What is a probability distribution chart
+22479,22479,How do you tell if a distribution is a probability distribution
+22480,22480,What is a distribution graph
+22481,22481,How do you activate neurons in the brain
+22482,22482,What do neurons stimulate
+22483,22483,Why are hidden layers called hidden
+22484,22484,How many hidden layers should a neural network have
+22485,22485,Which variable is the input variable
+22486,22486,Is the input the independent variable
+22487,22487,What is the purpose of using logarithms
+22488,22488,Is log 0 possible
+22489,22489,What is the use of log in machine term
+22490,22490,What is the importance of logarithms
+22491,22491,What are logarithms and what are they used for
+22492,22492,What is a good D prime score
+22493,22493,How do you test for serial correlation
+22494,22494,Why do we test for autocorrelation
+22495,22495,What tests for the presence of autocorrelation between residuals
+22496,22496,How do you handle autocorrelation in regression
+22497,22497,What is standard error of the estimate
+22498,22498,What is standard error in statistics
+22499,22499,What is the error of estimation
+22500,22500,What is the standard error of the estimate in regression
+22501,22501,How do you calculate SE in regression
+22502,22502,How is standard error written
+22503,22503,What is the formula for calculating the standard error of sample means
+22504,22504,Is JSON considered structured data
+22505,22505,What structured data examples
+22506,22506,What is absorbing state in stochastic process
+22507,22507,What makes a matrix stochastic
+22508,22508,What is recurrent state
+22509,22509,What is an absorbing state
+22510,22510,How do you prove a state is recurrent
+22511,22511,What is statistical sampling
+22512,22512,Why do we measure distance
+22513,22513,Is the measure of distance between two points
+22514,22514,How is distance calculated in real life
+22515,22515,What are the uses of standard deviation
+22516,22516,What does standard deviation reveal
+22517,22517,What is standard deviation of the mean
+22518,22518,How do you explain standard deviation in words
+22519,22519,What does standard deviation measure
+22520,22520,What is standard deviation and its uses
+22521,22521,What is the function of kernel explain system calls with example
+22522,22522,What is a kernel function in statistics
+22523,22523,What do you mean by inductive bias
+22524,22524,What is the hypothesis space of linear regression
+22525,22525,What is biased learning
+22526,22526,What is weight and bias in deep learning
+22527,22527,What is LDA and QDA
+22528,22528,What does discriminant analysis do
+22529,22529,How many variables are needed for factor analysis
+22530,22530,What is maximum likelihood factor analysis
+22531,22531,How do you evaluate a correlation matrix
+22532,22532,How does a correlation matrix work
+22533,22533,How do you calculate correlation analysis
+22534,22534,How do you describe correlation results
+22535,22535,How do you explain correlation analysis
+22536,22536,How do you tell if a hypothesis test is left tailed
+22537,22537,What is left tailed
+22538,22538,What makes a hypothesis two tailed
+22539,22539,How do you find the left tailed p value
+22540,22540,How do you tell if it's right or left tailed
+22541,22541,How do you know if it is a right tailed test
+22542,22542,Is the hypothesis test left tailed right tailed or two tailed
+22543,22543,What is meant by data science
+22544,22544,What is data science and its types
+22545,22545,What is data science and why is it important
+22546,22546,What is the answer of data
+22547,22547,Is range a measure of center
+22548,22548,How is the range used as a measure of variation
+22549,22549,Is range a measure of variance
+22550,22550,How do you calculate classification rate
+22551,22551,How we are calculating accuracy from classification models
+22552,22552,How do I work out the interquartile range
+22553,22553,What are the properties of regression line
+22554,22554,What are the properties of least square estimators
+22555,22555,What is a least squares regression line
+22556,22556,What does rejecting the null hypothesis mean
+22557,22557,How do you know when to reject or accept alternative hypothesis
+22558,22558,Which method can be used to carry out clustering
+22559,22559,What is cluster analysis in research methodology
+22560,22560,How do you cluster data
+22561,22561,Which metric is used for classification problem
+22562,22562,Which metric can be used to evaluate the performance of a classification model
+22563,22563,What the common metrics are for overall model performance
+22564,22564,What does a low R Squared mean
+22565,22565,What does R Squared mean in regression analysis
+22566,22566,What is a good R2 for linear regression
+22567,22567,What is machine learning introduction
+22568,22568,What is machine learning used for
+22569,22569,What are the concepts in machine learning
+22570,22570,What is the core of machine learning
+22571,22571,What are the basic stuff needed to learn machine learning
+22572,22572,What is a logit in machine learning
+22573,22573,Why do we use log odds
+22574,22574,What does log odds mean
+22575,22575,How are measures of central tendency and measures of dispersion used to compare data
+22576,22576,Can the measures of central tendency and the measures of spread be used together to describe a set of scores
+22577,22577,What does it mean for two events to be independent
+22578,22578,How do you know if two variables are statistically independent
+22579,22579,Is Big Data and Machine Learning same
+22580,22580,What kind of data is needed for machine learning
+22581,22581,Does AI require big data
+22582,22582,Is big data required for machine learning
+22583,22583,Why is it called probability density function
+22584,22584,What are layers in neural network
+22585,22585,What is the meaning of random
+22586,22586,What does Radom mean
+22587,22587,What is another word for random
+22588,22588,What does random guy mean
+22589,22589,What is the difference between computer vision and machine vision
+22590,22590,What can computer vision be used for
+22591,22591,How do you do computer vision
+22592,22592,Who invented Markov chains
+22593,22593,What is the formula for sample size
+22594,22594,What sample size is needed to give a margin of error
+22595,22595,Can Mean be used for ordinal data
+22596,22596,How do you test two ordinal variables
+22597,22597,What is the ideal learning rate
+22598,22598,What is the effect of learning rate on prediction *
+22599,22599,How much GPU is enough for deep learning
+22600,22600,What GPU is good for deep learning
+22601,22601,Is logistic regression decision boundary linear
+22602,22602,Is logistic regression a model based algorithm
+22603,22603,How do you find autocorrelation in R
+22604,22604,What is autocorrelation R
+22605,22605,How do you find the correlation between two time series in R
+22606,22606,What is autocorrelation and how it is different from serial correlation
+22607,22607,What is dimension and measure in data warehouse
+22608,22608,What is dimension in data warehousing
+22609,22609,What are dimensions and measures
+22610,22610,How many dimensions do we live in
+22611,22611,What is embedding in ML
+22612,22612,What is embedding in TensorFlow
+22613,22613,What is sampling unit in audit
+22614,22614,What is a sampling unit A level maths
+22615,22615,What is separate sampling
+22616,22616,Which of the following are correct elements used in Hidden Markov model
+22617,22617,What part of the brain helps you make good decisions
+22618,22618,How do you train yourself to make decisions
+22619,22619,How do you know if its linear or nonlinear
+22620,22620,What is linear and non linear data
+22621,22621,What is nonlinear association
+22622,22622,Is the association positive or negative
+22623,22623,What does a non linear relationship look like
+22624,22624,What is the relationship between linear and nonlinear text
+22625,22625,Why is response bias of concern
+22626,22626,What is a function in probability
+22627,22627,What does the mean of a probability distribution tell us Brainly
+22628,22628,What can a box plot be used for
+22629,22629,What can you compare box plots to
+22630,22630,What information do you need to make a box plot
+22631,22631,What does Response bias mean
+22632,22632,Why does response bias occur
+22633,22633,What is a Undercoverage bias
+22634,22634,What is nonresponse error
+22635,22635,What is pdf of normal distribution
+22636,22636,How do you find the value of a combination
+22637,22637,What type of data does a regression analysis use
+22638,22638,Is regression analysis quantitative or qualitative
+22639,22639,What is meant by test retest reliability
+22640,22640,How do you interpret test retest reliability scores
+22641,22641,What is data warehouse partitioning
+22642,22642,What does partitioning data mean
+22643,22643,What is partitioning in Bigquery
+22644,22644,What is the purpose of using least squares to fit the regression line
+22645,22645,Which line is considered as the best fit line for a linear regression model
+22646,22646,How do you find the least squares line of best fit
+22647,22647,Is statistics used in AI
+22648,22648,What is AI in statistics
+22649,22649,How does AI work with data
+22650,22650,Is factor independent variable
+22651,22651,What counts as an independent variable
+22652,22652,What is the meaning of Factor
+22653,22653,What is the probability of all outcomes in a sample space
+22654,22654,When each outcome of a sample space is as likely to occur as any other the outcomes are called
+22655,22655,What is multinomial example
+22656,22656,What is the purpose of image classification
+22657,22657,How do you classify an image using Tensorflow
+22658,22658,What are the advantages and disadvantages of Anova
+22659,22659,What is meant by Huffman coding
+22660,22660,Why is Huffman coding important
+22661,22661,What is the major advantage of adaptive Huffman over simple Huffman
+22662,22662,What are the limitations of Huffman coding
+22663,22663,What are the real world applications of Huffman coding
+22664,22664,How do you tell if a test is two tailed or one tailed
+22665,22665,What do you mean by principle of least square method
+22666,22666,What is the basic principle of least square method for curve fitting
+22667,22667,What are the properties of regression lines
+22668,22668,What are some criticisms of IQ tests
+22669,22669,What does bias of an IQ test mean
+22670,22670,How do you find the control variable
+22671,22671,How do you identify independent dependent and control variables
+22672,22672,What variables can be manipulated
+22673,22673,What is parameter in machine learning
+22674,22674,What is parameters in CNN
+22675,22675,What are classification types
+22676,22676,How do you find the Poisson parameter
+22677,22677,How do you find the Lambda of a Poisson distribution
+22678,22678,What does Poisson distribution describe
+22679,22679,What does a Poisson distribution tell you
+22680,22680,Why is Poisson distribution used
+22681,22681,Which naive Bayes algorithm is ideal if the input variables are binary categorical variables
+22682,22682,How is regression calculated
+22683,22683,How is linear regression measured
+22684,22684,What can you measure if you use a regression analysis
+22685,22685,What are the metrics which could be used to measure the performance of a regression model
+22686,22686,Which metric is used to determine the significance of the overall model fit
+22687,22687,What is a robust test in statistics
+22688,22688,How do you find the accuracy of a ML model
+22689,22689,How does a classifier work
+22690,22690,Is neural network a reinforcement learning
+22691,22691,What is correction factor in titration
+22692,22692,Why is the probability that a continuous random variable takes on any specific value equal to zero
+22693,22693,Why will a density curve always give a probability of zero
+22694,22694,What is the probability that a standard normal random variable takes the value 0
+22695,22695,What is a Timestep
+22696,22696,What is Return_sequences in Lstm
+22697,22697,How would you describe machine learning
+22698,22698,What is the relation between big data and machine learning
+22699,22699,Which data type is used to teach a machine learning algorithm
+22700,22700,Which type of data is required in machine learning
+22701,22701,How do I train in TensorFlow
+22702,22702,How does changing the standard deviation and the mean affect the normal distribution
+22703,22703,What is the relationship between normal distribution and standard normal distribution
+22704,22704,What does the uniform distribution and normal distribution have in common
+22705,22705,What is the difference between skewed and uniform distribution
+22706,22706,Why is it correct to say a normal distribution and the standard normal distribution describe the cases in which the different terms are used choose the correct answer below
+22707,22707,What is correct regarding a normal distribution
+22708,22708,What was the original purpose for using stepwise regression
+22709,22709,What is enter method regression
+22710,22710,How do I generate association rules from frequent itemsets
+22711,22711,How is association rule mining from large databases
+22712,22712,How do you create association rules in data mining
+22713,22713,What do you need to calculate standard error
+22714,22714,How do you find the standard error of the sample mean
+22715,22715,What is the formula for the standard error of the sample proportion
+22716,22716,What is the formula for standard error of measurement
+22717,22717,What is the difference between data science
+22718,22718,Is data mining and machine learning same
+22719,22719,What is the difference between human and machine
+22720,22720,How do humans learn and how it can be associated with machine learning
+22721,22721,What is the difference between absolute error and mean absolute error
+22722,22722,What is MAD and MAPE
+22723,22723,How do you calculate mad MSE and MAPE
+22724,22724,What is the difference between RMS MSE and standard deviation
+22725,22725,How do you calculate standard deviation from MSE
+22726,22726,Why is normality important in statistical inference
+22727,22727,What does normality mean in statistics
+22728,22728,What is the purpose of normality test
+22729,22729,How do standard scores relate to the normal curve
+22730,22730,How do you know if data is skewed
+22731,22731,What does skewed mean
+22732,22732,What does disambiguation mean
+22733,22733,What are two prioritization strategies
+22734,22734,How do you prioritize in agile
+22735,22735,How can I improve my prioritization skills
+22736,22736,What is Delta error in Perceptron model of neuron
+22737,22737,What is the catch with Experian boost
+22738,22738,What is random effect meta analysis
+22739,22739,What are random effects
+22740,22740,What is Sigma in SVD
+22741,22741,What is the other name of SVD
+22742,22742,How SVD is used in image compression
+22743,22743,What is ETA in neural network
+22744,22744,What's an ETA
+22745,22745,What is epoch in machine learning
+22746,22746,Why is lower learning rate superior
+22747,22747,Is machine learning in high demand
+22748,22748,Does machine learning have a future
+22749,22749,What is gradient loss
+22750,22750,What is gradient function
+22751,22751,How does a gradient boosted tree work
+22752,22752,What is categorical binary data
+22753,22753,Is dichotomous variable categorical
+22754,22754,What does a binary variable mean
+22755,22755,How do you create a binary variable
+22756,22756,Is binary data discrete
+22757,22757,Is binary data continuous
+22758,22758,How do the T and Z distributions differ
+22759,22759,How are z and t confidence intervals different
+22760,22760,Is confidence interval an effect size
+22761,22761,How do you calculate confidence interval for effect size
+22762,22762,What does an effect size mean
+22763,22763,What is the relationship between sample size and confidence interval
+22764,22764,What does the effect size tell us
+22765,22765,What is a statistically significant confidence interval
+22766,22766,How do you know when statistics are statistically significant
+22767,22767,What is parametric statistical test
+22768,22768,Is Regression a correlational design
+22769,22769,Does correlation mean linear relationship
+22770,22770,How do you determine if there is a linear relationship
+22771,22771,What are coefficients and what do they tell us
+22772,22772,What is the coefficient in multiple regression
+22773,22773,What is the coefficient estimate
+22774,22774,What is a coefficient estimate in regression
+22775,22775,What are data mining algorithms
+22776,22776,What are the techniques used in data mining
+22777,22777,What are the major data mining processes
+22778,22778,What is the z score of 84%
+22779,22779,How do you find the Z score step by step
+22780,22780,How do you find standard deviation from Z score
+22781,22781,What are the mean and standard deviation of the z scores
+22782,22782,How do you find the z score corresponding to percentile
+22783,22783,How do you find the corresponding z score on a TI 84
+22784,22784,What is entropy in cyber security
+22785,22785,Is machine learning required for data analytics
+22786,22786,Is AI part of data analytics
+22787,22787,Is machine learning part of business analytics
+22788,22788,What is the difference between data analytics and machine learning
+22789,22789,Is machine learning a part of data analytics
+22790,22790,Is machine learning important for data analytics
+22791,22791,Is beta distribution symmetric
+22792,22792,How do you know if your data is parametric or nonparametric
+22793,22793,Does logistic regression assume normality
+22794,22794,What is dimensionality reduction used for
+22795,22795,What are advantages of dimensionality reduction
+22796,22796,What background is needed for machine learning
+22797,22797,Does AI require coding
+22798,22798,Is significance the same as P value
+22799,22799,How does P value relate to Alpha
+22800,22800,What does Alpha mean in probability
+22801,22801,What is Alpha in normal distribution
+22802,22802,What does an alpha level of .01 mean
+22803,22803,What does it mean when p value is less than alpha
+22804,22804,What does it mean if the p value is less than the significance level
+22805,22805,What does a low alpha level mean
+22806,22806,Which of the following option is are correct regarding the benefits of the ensemble model
+22807,22807,Why do we Normalise input
+22808,22808,What is the significance of standard error in statistics
+22809,22809,What does standard error of the mean tell us
+22810,22810,What does standard error of estimate mean
+22811,22811,How do you find the mean of a frequency distribution
+22812,22812,What is the formula to find frequency in statistics
+22813,22813,Why is a frequency distribution useful
+22814,22814,What does a frequency distribution mean
+22815,22815,What is a frequency distribution of qualitative data and why is it useful
+22816,22816,How do you explain sensitivity and specificity
+22817,22817,Is logistic regression a classification
+22818,22818,What does a histogram measure
+22819,22819,What is histogram analysis explain with example
+22820,22820,What should you look for in a histogram statistics
+22821,22821,What is decision tree in ML
+22822,22822,How does decision tree split
+22823,22823,What is true about ridge regression
+22824,22824,Which of the following is true about R Squared
+22825,22825,How do you create a stratified random sample
+22826,22826,What is the method for selecting a stratified sample
+22827,22827,What are the criteria of selecting sampling procedure
+22828,22828,When selecting a stratified sample the sample size is
+22829,22829,What is the difference between a high and low pass filter
+22830,22830,Why is it called a low pass filter
+22831,22831,How is the high pass filter formed
+22832,22832,What Should low pass filter be set to
+22833,22833,Where are high pass filters used
+22834,22834,Is naive Bayes a classification algorithm
+22835,22835,What Bayesian classification is
+22836,22836,What is multinomial naive Bayes classifier
+22837,22837,Which type of naive Bayes classifier is best suited for document classification problem
+22838,22838,What are the two main assumptions made by the naive Bayes classifier
+22839,22839,What is the difference between linear and multiple regression
+22840,22840,What is MLR model
+22841,22841,Does percent error indicate accuracy or precision
+22842,22842,What is the difference between percent error and percent difference
+22843,22843,How do you calculate precision and uncertainty
+22844,22844,How do you tell the difference between accuracy and precision
+22845,22845,What is a good percent error
+22846,22846,What does the percent difference tell you
+22847,22847,How do you find the expected value of a geometric random variable
+22848,22848,How do you find the expected value deviation
+22849,22849,How do you find the expected value and standard deviation of a binomial random variable
+22850,22850,What is a disadvantage of quota sampling
+22851,22851,Which sampling method is most biased
+22852,22852,How is neural network size determined
+22853,22853,How is neural network architecture defined
+22854,22854,What is a query vs a subquery
+22855,22855,What is a predictive variable
+22856,22856,What is meant by cost function in machine learning
+22857,22857,What is the goal of exploitation and what is the goal of exploration
+22858,22858,How do you choose a reinforcement algorithm
+22859,22859,Why do we use gradient descent
+22860,22860,How do you do gradient descent in linear regression
+22861,22861,Which of the following is the purpose of the gradient descent algorithm in machine learning
+22862,22862,What does a gradient descent algorithm do
+22863,22863,What is unstructured data in statistics
+22864,22864,How do you calculate the probability
+22865,22865,What is meant by probability mass function
+22866,22866,How do you find the probability mass function example
+22867,22867,What is PDF and PMF
+22868,22868,What is the probability function
+22869,22869,How AI affects the future
+22870,22870,What is LSI Where do we use it
+22871,22871,How do you describe a logarithmic function
+22872,22872,How do you answer logarithmic functions
+22873,22873,What is the logarithmic formula
+22874,22874,How do you find cosine of two vectors
+22875,22875,How does cosine similarity work
+22876,22876,What is an example of a posteriori knowledge
+22877,22877,What is a priori and a posteriori knowledge
+22878,22878,What does posteriori mean
+22879,22879,What is Fourier series used for
+22880,22880,For which type of signals Fourier series can be used
+22881,22881,How Fourier transform is used in signal processing
+22882,22882,Why does entropy happen
+22883,22883,Is entropy a energy
+22884,22884,What do u mean by stratification
+22885,22885,What does it mean to stratify a sample
+22886,22886,How do you choose a variable to stratify by
+22887,22887,Are neural networks used in machine learning
+22888,22888,Is machine learning the same as neural network
+22889,22889,Is neural network a machine learning algorithm
+22890,22890,Is deep learning an algorithm
+22891,22891,What do you mean by learning curve
+22892,22892,How many types are in learning curve
+22893,22893,How do you create a learning curve
+22894,22894,What is the outlier in a set of data
+22895,22895,How many outliers are in this data set
+22896,22896,Why is interquartile range useful
+22897,22897,Where is interquartile range used
+22898,22898,What is an outlier inter quartile range IQR
+22899,22899,What is the range of outliers
+22900,22900,What is the interquartile range IQR of the data
+22901,22901,How do you conduct a factor analysis
+22902,22902,How do you interpret factor analysis
+22903,22903,How do you find the deviation from the mean
+22904,22904,Why do we calculate mean and standard deviation
+22905,22905,What does mean and standard deviation tell you
+22906,22906,Why do we use mean deviation
+22907,22907,What are the benefits of learning activities
+22908,22908,What is activity based learning
+22909,22909,What is activity and importance of activity method
+22910,22910,What does significant and not significant mean in statistics
+22911,22911,What does it mean if at test is not significant
+22912,22912,How is the metric system different from the United States system
+22913,22913,When did the US change to the metric system
+22914,22914,Why is the metric system used instead of the US customary system
+22915,22915,How important are normal residuals in regression analysis
+22916,22916,Is Chi square distribution positively skewed
+22917,22917,What happens to the critical value for a chi square test of the size of the sample is increased
+22918,22918,Why does the critical value decrease as the number of degrees of freedom increase
+22919,22919,What does it mean when your chi squared is higher than the critical value
+22920,22920,What happens to the shape of the chi square distribution as the degrees of freedom increase
+22921,22921,What is relationship of conditional probability and conditional distribution
+22922,22922,What is the difference between conditional and unconditional probability
+22923,22923,What do you mean by statistical inference
+22924,22924,How do you find the mean in regression
+22925,22925,What is the mean of linear regression
+22926,22926,What is meant by regression to the mean
+22927,22927,How do you calculate simple regression
+22928,22928,What is simple regression function
+22929,22929,What does regression equation mean
+22930,22930,What is linear SVM classification
+22931,22931,How much data do you need for logistic regression
+22932,22932,What is effect size in logistic regression
+22933,22933,What is a good use case for logistic regression
+22934,22934,Whats the definition of ensemble
+22935,22935,What is true about the ensemble classifiers
+22936,22936,How do you use ensemble of classifier
+22937,22937,What are the uses of hashing
+22938,22938,Why would you hash a file
+22939,22939,What does it mean to hash data
+22940,22940,What is hashing and why it is used
+22941,22941,What does hashing mean in Python
+22942,22942,What is meant by the coefficient of variation how is it used as a measure of risk
+22943,22943,Does coefficient of variation measure accuracy or precision
+22944,22944,Why variance is not a good measure of risk
+22945,22945,How are risks measured
+22946,22946,What does variance measure
+22947,22947,What is probability of distribution in term of binomial and frequency distribution
+22948,22948,How would you convert a grouped frequency distribution to a relative frequency distribution
+22949,22949,Is frequency equal to probability
+22950,22950,How is probability related to relative frequency
+22951,22951,How do you convert frequency to probability
+22952,22952,Are relative frequency and experimental probability the same
+22953,22953,How do you plot bivariate data
+22954,22954,What plot is used to display two quantitative variables
+22955,22955,What is data science in coding
+22956,22956,What is a good sample size for statistical analysis
+22957,22957,What is the point of ap value
+22958,22958,What does predictive power mean
+22959,22959,How are association rules mining from large databases
+22960,22960,What is weight decay Adam
+22961,22961,What are the differences between Z and T distributions when and why do we use t distribution instead of Z distribution
+22962,22962,What is the mean of a standard normal distribution
+22963,22963,How do you determine if a normal distribution is appropriate
+22964,22964,Is mean absolute deviation the same as mean
+22965,22965,How do I find the mean absolute deviation
+22966,22966,What is the difference between mean absolute deviation and standard deviation
+22967,22967,What is Steinmetz constant
+22968,22968,How is hysteresis loss calculated
+22969,22969,What is B H curve
+22970,22970,What is difference between H and B
+22971,22971,What are datasets in machine learning
+22972,22972,What role does the back propagation error have in training a neural network
+22973,22973,What is back propagation learning
+22974,22974,How is backpropagation implemented
+22975,22975,What is input channel in CNN
+22976,22976,What is neural input
+22977,22977,What is input and target in neural network
+22978,22978,What is an input node
+22979,22979,What does a factorial represent
+22980,22980,What is the factorial rule
+22981,22981,Why do we create null hypothesis
+22982,22982,What is a good r squared correlation
+22983,22983,What is output unit
+22984,22984,What do you mean by input unit
+22985,22985,What are the characteristics of ordinal data
+22986,22986,Why is recurrent neural network best suitable for machine translation
+22987,22987,What is the relationship between a sample and a population quizlet
+22988,22988,Why is it important to analyze the relationship between a sample and full population
+22989,22989,What is the difference between sample covariance and population covariance
+22990,22990,What is population covariance
+22991,22991,How do you find the Gini coefficient in Excel
+22992,22992,WHO calculates Gini coefficient
+22993,22993,What is the relation between disparity map and depth
+22994,22994,How do you get a disparity map
+22995,22995,What is C parameter in SVM
+22996,22996,What is Hyperparameter in SVM
+22997,22997,Does linear SVMs have hyper parameters
+22998,22998,What is meant by spatial filtering
+22999,22999,What does linear filtering do
+23000,23000,Which of the following is involved in linear spatial filtering
+23001,23001,How do filters work in CNN
+23002,23002,What are the two forms of the appeal to ignorance
+23003,23003,What is fallacy definition
+23004,23004,What are the types of fallacies
+23005,23005,How do you explain fallacies
+23006,23006,Is classification supervised or unsupervised
+23007,23007,How can we use unsupervised clustering models for classification tasks
+23008,23008,Do you need a degree for artificial intelligence
+23009,23009,What are the major branches of artificial intelligence
+23010,23010,Is artificial intelligence a good major
+23011,23011,What is splitting in data structure
+23012,23012,How do you calculate information Split
+23013,23013,What is backward reasoning in AI
+23014,23014,What is a gradient boosted model
+23015,23015,What is GBM in machine learning
+23016,23016,What is an example of empirical
+23017,23017,What counts as empirical evidence
+23018,23018,How do you use empirical evidence in a sentence
+23019,23019,Is normal the same as Gaussian
+23020,23020,What is a t test for dependent groups and when do you use it
+23021,23021,What is the t test for dependent samples used for
+23022,23022,What is the purpose of t test
+23023,23023,What is the main use of the t test for two independent groups
+23024,23024,What is a dependent sample t test
+23025,23025,What is the difference between a dependent and independent samples t test
+23026,23026,What type of data is needed for an independent t test
+23027,23027,What is clustering in data mining
+23028,23028,Which function is used to represent the target function
+23029,23029,What is the basic concept of learning
+23030,23030,What is the Vgg neural network
+23031,23031,What does the least squares method minimize
+23032,23032,What does the least square regression line minimize
+23033,23033,What does ordinary least squares minimize
+23034,23034,What is outcome logistic regression
+23035,23035,Which hypothesis is used for logistic regression
+23036,23036,What is the relationship between big data and AI
+23037,23037,Is machine learning part of big data
+23038,23038,Which is better machine learning or big data
+23039,23039,Why is machine learning useful
+23040,23040,How are ML algorithms implemented
+23041,23041,What are big data algorithms
+23042,23042,How do you find the mean of a frequency density histogram
+23043,23043,What does a density histogram show
+23044,23044,How do you find the frequency in a histogram
+23045,23045,Do histograms show the frequency of individual data values
+23046,23046,Is frequency a density
+23047,23047,Why do we use frequency density instead of frequency
+23048,23048,How do u find the frequency
+23049,23049,What is frequency density used for
+23050,23050,What is auto associative network
+23051,23051,Which best describes an auto associative network
+23052,23052,What is the standard error of the difference between two means
+23053,23053,How do you find the standard error of two samples
+23054,23054,How do you compare two means
+23055,23055,What is the mean difference in statistics
+23056,23056,What values are 2 standard deviations away from the mean
+23057,23057,How do I find the standard error of the mean
+23058,23058,How does gradient boosting algorithm work
+23059,23059,Why boosting is a more stable algorithm
+23060,23060,What is the meaning of the area under the curve
+23061,23061,Which are machine learning algorithms
+23062,23062,What is Mnist dataset
+23063,23063,How do you classify an image using TensorFlow
+23064,23064,Can categorical variables be collinear
+23065,23065,How is Q value calculated
+23066,23066,What's the meaning of parameters
+23067,23067,What is the example of parameter
+23068,23068,What is the use of parameter
+23069,23069,What do you mean by parameters
+23070,23070,What are the 4 basic elements of statistics
+23071,23071,What are statistical concepts and methods
+23072,23072,What is the meaning of basic statistics
+23073,23073,What are the three main aspects of statistics
+23074,23074,What are the three branches of statistics
+23075,23075,What are the major areas of statistics
+23076,23076,How do you determine independent and dependent variables
+23077,23077,What are control variables and why are control variables important
+23078,23078,Why is it important to have controlled variables in an experiment
+23079,23079,Can you control the dependent variable
+23080,23080,Is dependent variable the same as controlled variable
+23081,23081,What influences the dependent variable
+23082,23082,Can the control group and independent variable be the same
+23083,23083,Do you control independent or dependent variables
+23084,23084,Is the dependent variable the control group
+23085,23085,Do we change the dependent variable
+23086,23086,What does B stand for in linear regression
+23087,23087,What is the difference between B and beta
+23088,23088,How are regression coefficients calculated
+23089,23089,How do you determine the coefficient of determination
+23090,23090,What does B mean in linear regression
+23091,23091,How do you describe an exponential distribution
+23092,23092,What two characteristics of a distribution are needed in order to accurately describe the distribution
+23093,23093,Can decision tree handle continuous variables
+23094,23094,What are the types of hypothesis in statistics
+23095,23095,What is calibration of model
+23096,23096,What is an alpha state
+23097,23097,What are the benefits of alpha waves
+23098,23098,How do you control brain waves
+23099,23099,What is Gan in AI
+23100,23100,What is psychometric test example
+23101,23101,What is psychometrics used for
+23102,23102,What is psychometric test in recruitment
+23103,23103,How do you prepare for a skills test
+23104,23104,What is joint distribution of random variables
+23105,23105,How stratified random sampling is done
+23106,23106,What is stratified sampling used for
+23107,23107,When should the method of stratified random sampling be used
+23108,23108,How do you calculate error in neural network
+23109,23109,What is error gradient in neural network
+23110,23110,What is error correction learning Mcq
+23111,23111,What is error function in neural network
+23112,23112,How do you prove dimensional analysis
+23113,23113,What is dimensional analysis formula
+23114,23114,What is dimensional equation explain with example
+23115,23115,What does the Y intercept mean in linear regression
+23116,23116,How do you interpret the Y intercept of a regression line
+23117,23117,What does the Y intercept mean in context
+23118,23118,What is the non parametric alternative to one way Anova
+23119,23119,How does Anova differ from a t test
+23120,23120,Does increasing sample size reduce error
+23121,23121,What decreases as sample size increases
+23122,23122,Does increasing sample size Reduce Type 2 error
+23123,23123,Does sample size affect sampling error
+23124,23124,How are Type II error and sample size related
+23125,23125,How does sample size affect sampling error
+23126,23126,Does sample size affect Type I error
+23127,23127,How does sample size affect results
+23128,23128,Why does training error increase
+23129,23129,Why validation loss is smaller than training loss
+23130,23130,How do you get rid of voluntary response bias
+23131,23131,How do you reduce bias in statistics
+23132,23132,How do you remove bias from a survey question
+23133,23133,How do you stop selection bias
+23134,23134,Why is the standard normal distribution so useful
+23135,23135,How do you know what type of distribution to use
+23136,23136,How do you know when a distribution is normal
+23137,23137,What is the central limit theorem and why is it important in statistics
+23138,23138,Is Jarvis an AI or VI
+23139,23139,What is the difference between X1 and X1 statistics
+23140,23140,What do n and k stand for in statistics
+23141,23141,What is N in mean formula
+23142,23142,What is N distribution
+23143,23143,How do you denote a normal distribution
+23144,23144,What does normality of data mean
+23145,23145,What does X1 X2 mean
+23146,23146,What is Xi and Yi in statistics
+23147,23147,What is S 2x in statistics
+23148,23148,Is Time Series A regression model
+23149,23149,What is the sum of squares due to regression
+23150,23150,How do you calculate the sum of squared errors
+23151,23151,What is regression sum squares
+23152,23152,What does regression squared mean
+23153,23153,How do you find the expected value of a joint distribution
+23154,23154,How do you find the joint probability function
+23155,23155,Is GTX 1060 good for machine learning
+23156,23156,What is the symbol for mean median and mode
+23157,23157,What is the formula for calculating median
+23158,23158,How do you calculate median grade
+23159,23159,What is the formula of median and mode
+23160,23160,What are the differences between simple and multiple regression
+23161,23161,When we have many independent variables which we use to predict the dependent variable we call this process as
+23162,23162,What is the difference between simple regression and multiple regression
+23163,23163,Who developed the statistical technique known as regression
+23164,23164,Who invented regression analysis
+23165,23165,What is statistical regression also known as
+23166,23166,What is regression quizlet
+23167,23167,What does an object detection model do
+23168,23168,What does it mean when data is biased
+23169,23169,How do you reduce bias in data
+23170,23170,How can we solve the high bias problem of the model
+23171,23171,Does averaging reduce bias
+23172,23172,Why is more data better
+23173,23173,Why is it more accurate to have higher sample sizes
+23174,23174,What makes reliable data
+23175,23175,How do you ensure data typing accuracy
+23176,23176,What is the main purpose of a one sample test
+23177,23177,When can we go for z test
+23178,23178,How do you know when to use Z distribution
+23179,23179,When should you use a one sample z test
+23180,23180,When would you use the Z test as opposed to the one sample t test
+23181,23181,How do you do a one proportion z test
+23182,23182,How do you do a one sample z test
+23183,23183,How do you treat missing values in data
+23184,23184,What can be used to input missing values
+23185,23185,How do you treat missing values in statistics
+23186,23186,What are the limitations of Fourier theorem explain them
+23187,23187,What are the advantages of FFT over DFT
+23188,23188,What is the difference between Fourier transform and Fast Fourier Transform
+23189,23189,What is the formula for Fourier transform
+23190,23190,What are the Fourier transform properties
+23191,23191,What is duality property of Fourier transform
+23192,23192,How is hit rate calculated
+23193,23193,What is 1 minus p value
+23194,23194,How do you find the Y intercept in an equation
+23195,23195,How do you find the Y intercept when given two points
+23196,23196,How do you find the Y intercept with coordinates
+23197,23197,How do you find the Y intercept with two points and slope
+23198,23198,How do you find the intercept in regression
+23199,23199,What does a negative intercept mean in regression
+23200,23200,Where is visual word form area
+23201,23201,What is visual and non visual
+23202,23202,What is the visual image
+23203,23203,What does LDA stand for
+23204,23204,What does standardizing a normal distribution do to the mean
+23205,23205,How do you standardize data formula
+23206,23206,How is a standard normal distribution defined
+23207,23207,What is a standardized distribution
+23208,23208,How do you calculate a standardized score
+23209,23209,What is a distribution score
+23210,23210,How do you figure out y intercept
+23211,23211,How do you know if intercept is significant
+23212,23212,How do you find the predicted value and residual value
+23213,23213,How are residuals calculated
+23214,23214,What is a predicted value in statistics
+23215,23215,What does it mean for an algorithm to be greedy
+23216,23216,When can we use greedy algorithm
+23217,23217,Does Dijkstra's algorithm always work
+23218,23218,How does Dijkstra algorithm work
+23219,23219,How do you do Anova data analysis
+23220,23220,How do you find the variance in Anova
+23221,23221,What stands for Analysis of Variance
+23222,23222,What does a one way analysis of variance do
+23223,23223,How do you analyze one way Anova
+23224,23224,How do you find the variance of a group
+23225,23225,What is the symbol for variance in Anova
+23226,23226,What does a high pass filter look like
+23227,23227,How do you know the order of a filter
+23228,23228,What is meant by low pass and high pass filter
+23229,23229,How do high pass filters work
+23230,23230,What does a low pass filter do
+23231,23231,What is Eigen vector of Matrix
+23232,23232,What is eigenfunction and eigenvalues
+23233,23233,What do you mean by eigen value
+23234,23234,How do you find the eigen value of a Eigen vector
+23235,23235,How do you find eigenvalues
+23236,23236,What does a fixed effects model do
+23237,23237,How do you represent a word as a vector
+23238,23238,How are word Embeddings trained
+23239,23239,Where is regression used
+23240,23240,How do you define regression
+23241,23241,Should dependent variables be normally distributed in linear regression
+23242,23242,How do you know if a variable is normally distributed
+23243,23243,What do you do when a dependent variable is not normally distributed
+23244,23244,How do you normalize data in a database
+23245,23245,What is normalized and denormalized data
+23246,23246,What does the skewness of a distribution measure
+23247,23247,What does skew mean
+23248,23248,What is the formula for calculating skewness
+23249,23249,What is skewness in statistics with example
+23250,23250,How do you know if data is skewed or normal
+23251,23251,Is probability sampling random
+23252,23252,What is another name for probability sampling
+23253,23253,What makes something a random sample
+23254,23254,What is the difference between random and non random sampling method
+23255,23255,What is the difference between random sampling and random assignment
+23256,23256,What is data splitting
+23257,23257,How do you divide a test and training set
+23258,23258,How do I create a decision flowchart in Word
+23259,23259,What is a decision tree method
+23260,23260,Is median and average the same
+23261,23261,What do you mean by extrapolation
+23262,23262,What is an interpolation and extrapolation
+23263,23263,What does the standard error of the estimate tell us
+23264,23264,What is a good standard error of the mean
+23265,23265,How standard error is helpful in testing of hypothesis
+23266,23266,What are the limitations of regression
+23267,23267,Which of the following is a limitation of regression analysis
+23268,23268,What are 3 limitations of correlation and regression
+23269,23269,How many inputs and outputs does a neuron have
+23270,23270,What is the input layer
+23271,23271,How do I calculate the degrees of freedom
+23272,23272,What is the numerator degrees of freedom Anova
+23273,23273,What is the denominator df in Anova
+23274,23274,What are degrees of freedom in F test
+23275,23275,How is DF calculated in F test
+23276,23276,Why is using a random sample important in research
+23277,23277,How does random sampling improve validity
+23278,23278,Why is random assignment important
+23279,23279,Why are random sampling and random assignment used
+23280,23280,Why are random selection and random assignment important for obtaining a representative sample and the overall validity of the research
+23281,23281,What is the purpose of using random assignment in between subjects experimental designs
+23282,23282,What is the goal of Random assignment
+23283,23283,What effect does random assignment of subjects to experimental and control groups have
+23284,23284,What are control variables in regression
+23285,23285,How do you know if a variable is ordinal
+23286,23286,What is minimum support and confidence in Apriori algorithm
+23287,23287,What is role of support and confidence in association rule mining
+23288,23288,How do you measure convergent and discriminant validity
+23289,23289,What are the possible values of a binomial random variable
+23290,23290,How do you identify a binomial random variable
+23291,23291,What is the random variable in binomial distribution
+23292,23292,How do you find the binomial equation
+23293,23293,How do I find the standard deviation of the mean
+23294,23294,What is the formula for the standard deviation of the sampling distribution of the mean
+23295,23295,How do you find the standard deviation of two samples
+23296,23296,How many samples do you need to calculate standard deviation
+23297,23297,What 2 pieces of information do you need to know in order to calculate the standard error
+23298,23298,What is the standard deviation between two numbers
+23299,23299,How do you check for omitted variables
+23300,23300,How does face recognition algorithms work
+23301,23301,Which is best algorithm for face recognition
+23302,23302,Is face recognition unsupervised learning
+23303,23303,What is the difference between linear and non linear
+23304,23304,What is linear text and examples
+23305,23305,What is a linear pattern and nonlinear pattern
+23306,23306,What is the difference between linear and nonlinear plot
+23307,23307,What is linear and non linear control system
+23308,23308,What is linear system
+23309,23309,What do you mean by non linear system
+23310,23310,What are risks and mitigations
+23311,23311,Why should you monitor the risk Minimisation strategies that have been implemented
+23312,23312,What is the purpose of risk minimization
+23313,23313,Why do you need to monitor the risk environment
+23314,23314,Why is it important to monitor risks and report on the process
+23315,23315,What does it mean if a variable is normally distributed
+23316,23316,What is normal distribution in statistics formula
+23317,23317,How is the average of a normal distribution measured
+23318,23318,Which machine learning algorithm is applicable for continuous data
+23319,23319,How do you implement machine learning
+23320,23320,What does clipping mask do procreate
+23321,23321,How do I use clipping path
+23322,23322,What is clipping and masking
+23323,23323,What's a clipping
+23324,23324,What are the consequences of heteroskedasticity for OLS estimators
+23325,23325,How do you handle Heteroscedastic data
+23326,23326,How do you test for heteroscedasticity in SPSS
+23327,23327,Why do we use hashing
+23328,23328,How does a hash function work
+23329,23329,How do you choose a good hash function
+23330,23330,Why do deep neural networks work
+23331,23331,What are the applications of deep learning
+23332,23332,Why is deep learning preferred over machine learning
+23333,23333,What is the advantage of deep learning
+23334,23334,What do semantic networks represent
+23335,23335,How do you represent knowledge
+23336,23336,How should knowledge be represented to be used for an AI technique *
+23337,23337,What is the frame a way of representing knowledge
+23338,23338,How reasoning is performed with frames
+23339,23339,How AI technique can be represented
+23340,23340,What is the role of knowledge representation in traditional AI
+23341,23341,What are the important issues in knowledge representation in artificial intelligence
+23342,23342,Which is the Contrapositive of P → Q
+23343,23343,Which statement represents the Contrapositive of P → Q
+23344,23344,Which is the converse of P → Q Brainly
+23345,23345,What is the Contrapositive of A → B
+23346,23346,Which of the following is the conditional P → Q
+23347,23347,Which is the inverse of P → Q
+23348,23348,What is the inverse of the original conditional statement
+23349,23349,What does P -> Q mean
+23350,23350,What kind of skew does the F distribution have
+23351,23351,Is F distribution bell shaped
+23352,23352,Is Poisson distribution discrete or continuous
+23353,23353,What type of sampling is used in qualitative research
+23354,23354,Is randomization appropriate for qualitative studies
+23355,23355,What is simple random sampling in qualitative research
+23356,23356,Do qualitative or quantitative researchers prefer random sampling
+23357,23357,Does qualitative research require sampling
+23358,23358,How do you know if a statistic is unbiased
+23359,23359,What sample statistic is used to estimate a population parameter
+23360,23360,How does facial recognition improve security
+23361,23361,What are the problems with facial recognition
+23362,23362,How do you reduce false negatives in logistic regression
+23363,23363,How do you boost your confidence
+23364,23364,Why do we need to boost your confidence
+23365,23365,What are the effects of confidence
+23366,23366,What causes over confidence
+23367,23367,What does high confidence mean
+23368,23368,Is stratified sampling probability sampling
+23369,23369,Which is a type stratified sampling
+23370,23370,What is the use of variance in real life
+23371,23371,What is the use of standard deviation in real life
+23372,23372,What is the significance of variance and standard deviation
+23373,23373,What is the practical use of standard deviation
+23374,23374,What is the significance of variance
+23375,23375,What is the importance of range in measures of variation
+23376,23376,What is the measure of variance that is most commonly used
+23377,23377,What does the Bayesian network provide
+23378,23378,What are coefficients in linear regression
+23379,23379,What does it mean for a regression coefficient to be statistically significant
+23380,23380,What does R2 The coefficient of determination measure
+23381,23381,Does streaming use more data than downloading
+23382,23382,What is the purpose of frequency analysis
+23383,23383,What is the concept of frequency analysis
+23384,23384,How accurate are neural networks
+23385,23385,How is deep learning accuracy calculated
+23386,23386,Why is linearity important in regression
+23387,23387,What is linearity in data
+23388,23388,How do you determine linearity
+23389,23389,What does linearity mean in statistics
+23390,23390,How do you explain skewness of data
+23391,23391,What does right skewed data tell us
+23392,23392,What are the three properties of distribution
+23393,23393,What is normal distribution write its properties and importance
+23394,23394,What are the properties of continuous probability distribution
+23395,23395,What is meant by probability density function
+23396,23396,What is AI Modelling
+23397,23397,How AI models are created
+23398,23398,Why CNN is used for image classification
+23399,23399,What are country fixed effects
+23400,23400,What does it mean to explain variation
+23401,23401,What is the variance in maths
+23402,23402,What is standard deviation in simple terms
+23403,23403,What is the role of dimension reduction in pattern recognition
+23404,23404,What is the mean of deviation
+23405,23405,How do you find the mean deviation from grouped data
+23406,23406,What is difference between mean deviation and standard deviation
+23407,23407,What deviation means
+23408,23408,Is standard deviation the same as mean
+23409,23409,How is mean absolute deviation used in real life
+23410,23410,Why do we use mean and standard deviation
+23411,23411,What is the use of mean in statistics
+23412,23412,How do you find the standard error of the mean
+23413,23413,What do u mean by output
+23414,23414,What are different advantages and disadvantages of decision tree algorithm
+23415,23415,Which clustering algorithm is called bottom up approach
+23416,23416,Is binomial a discrete probability distribution
+23417,23417,Whats the difference between discrete and continuous data
+23418,23418,What is a one proportion z test
+23419,23419,What is a 1 sample z test
+23420,23420,What is a 2 sample proportion test
+23421,23421,How do you find the XOR of two numbers
+23422,23422,What is XOR value
+23423,23423,How is XOR used in cryptography
+23424,23424,How does the XOR operator work
+23425,23425,Is standard score and Z score the same
+23426,23426,What is the mean value of a standard score
+23427,23427,What is the formula for z score in Excel
+23428,23428,What is meant by mean square error
+23429,23429,What does density mean
+23430,23430,How do you define density
+23431,23431,What is density explain with example
+23432,23432,How can density be defined
+23433,23433,What does density mean in simple words
+23434,23434,What is the definition of density quizlet
+23435,23435,What is correlation and its types
+23436,23436,What are the different types of correlation coefficients
+23437,23437,What are the different methods of finding correlation
+23438,23438,Which of the following defines a bivariate correlation
+23439,23439,How many variables are in a set of bivariate data
+23440,23440,How do you calculate bivariate data
+23441,23441,Why is it advantageous to use a relative frequency histogram
+23442,23442,Why would a relative frequency distribution be better than a frequency distribution
+23443,23443,What is the difference between a frequency and a relative frequency
+23444,23444,What does relative frequency mean
+23445,23445,What is an example of relative frequency
+23446,23446,What is the difference between a frequency histogram and a relative frequency histogram
+23447,23447,What major advantage does a histogram have over a frequency distribution
+23448,23448,What a moment means
+23449,23449,What is the sentence of moment
+23450,23450,How do you write a causal analysis
+23451,23451,What does the F score tell you
+23452,23452,What does F measure mean
+23453,23453,What is a Dependant variable in statistics
+23454,23454,What is the relationship between an independent and a dependent variable
+23455,23455,What are the uses of weighted mean
+23456,23456,How does weighted average work
+23457,23457,How is weighted average different from average
+23458,23458,Why is weighted average more accurate
+23459,23459,How do you calculate a weighted average
+23460,23460,Why would you use a weighted average
+23461,23461,What is the difference between cluster and stratified sampling
+23462,23462,Is cluster sampling precise
+23463,23463,Which sampling combines cluster and stratified sampling methods
+23464,23464,What is meant by linear operator
+23465,23465,What is linear operator in linear algebra
+23466,23466,Are Hermitian operators linear
+23467,23467,What is weight and bias in machine learning
+23468,23468,What is bias mean
+23469,23469,What is the significance of sampling
+23470,23470,What do you mean by sampling and its types
+23471,23471,What is sampling and its advantages
+23472,23472,What are the benefits of random sampling
+23473,23473,What is skewness and its types
+23474,23474,What is a skewed distribution in statistics
+23475,23475,How is skewness calculated
+23476,23476,What is a normal kurtosis value
+23477,23477,How do you find kurtosis in statistics
+23478,23478,What is P in confidence interval
+23479,23479,What do you do when two variables are highly correlated
+23480,23480,What does it mean when two variables are correlated
+23481,23481,How do you deal with highly correlated features
+23482,23482,Why do we remove highly correlated features
+23483,23483,Should I remove correlated variables
+23484,23484,What are correlated features
+23485,23485,What if independent variables are correlated
+23486,23486,Is a problem when the independent variables are highly correlated with each other
+23487,23487,When two independent variables are correlated the condition is known as
+23488,23488,How is Wilcoxon signed rank test calculated
+23489,23489,What is feature in deep learning
+23490,23490,What is the difference between systematic and random errors select all that apply
+23491,23491,What is the difference between sampling error and systematic error
+23492,23492,What is the rate of error forensic science
+23493,23493,What is misclassification rate in confusion matrix
+23494,23494,What is a misclassification error
+23495,23495,How do you calculate misclassification error
+23496,23496,Why do we vanish gradient
+23497,23497,What is adj a linear algebra
+23498,23498,How do you interpret factor analysis in SPSS
+23499,23499,What are loadings in factor analysis
+23500,23500,What is variance in factor analysis
+23501,23501,What is the advantage of hashing with chaining
+23502,23502,Why are hash functions important
+23503,23503,What is the advantage of hashing
+23504,23504,What are the advantages and disadvantages of hash tables compared to binary search trees
+23505,23505,What is advantage of binary search over linear search
+23506,23506,What is deviation IQ
+23507,23507,What is the average deviation IQ score
+23508,23508,What IQ score is 2 standard deviations below the mean
+23509,23509,What percentile is a 122 IQ
+23510,23510,What does a 122 IQ score mean
+23511,23511,How can skewness of data be reduced
+23512,23512,How do you handle skewness of data
+23513,23513,What causes data to skew left
+23514,23514,What is the problem with skewed data
+23515,23515,What is a probability experiment in statistics
+23516,23516,Is probability density function always positive
+23517,23517,Can a density curve have negative values
+23518,23518,How do you verify that a function is a probability density function
+23519,23519,How do you know if a probability distribution is valid
+23520,23520,What makes a valid density curve
+23521,23521,What properties must a probability density function satisfy
+23522,23522,What Makes a probability independent
+23523,23523,Why do samples need to be independent
+23524,23524,What is the assumption of independence in statistics
+23525,23525,How do you find the false positive from a confusion matrix
+23526,23526,What is meaning of false positive
+23527,23527,What is DFS and BFS in AI
+23528,23528,What is difference between DFS and BFS
+23529,23529,Why DFS is preferred over BFS
+23530,23530,How do I choose between BFS and DFS
+23531,23531,What is DFS and BFS with examples
+23532,23532,How can confidence intervals be used in real life
+23533,23533,Where are confidence intervals used
+23534,23534,What is the most common confidence interval used
+23535,23535,Which of the following are disadvantages of decision tree
+23536,23536,What is step function in neural network
+23537,23537,What is epoch in ML
+23538,23538,Why is Q learning called Q learning
+23539,23539,What is Q value reinforcement learning
+23540,23540,What are the characteristics of the distribution of sample means
+23541,23541,What are the main characteristics of normal distribution
+23542,23542,How do you find the characteristics of the normal distribution
+23543,23543,What do you need to fully characterize a distribution
+23544,23544,What classifies a normal distribution
+23545,23545,What are the characteristics of a normal probability distribution
+23546,23546,What is normal distribution and its characteristics
+23547,23547,What is a normal probability distribution
+23548,23548,How do you describe a normal distribution
+23549,23549,What is CNN algorithm in machine learning
+23550,23550,How do you tell if a random variable is discrete or continuous
+23551,23551,What is not a discrete random variable
+23552,23552,Can a random variable be constant
+23553,23553,Can a random variable be discrete or continuous
+23554,23554,Is a normal random variable continuous
+23555,23555,Is time a discrete data
+23556,23556,Is time a quantitative continuous variable
+23557,23557,How do you define a cluster
+23558,23558,How is cluster quality measured
+23559,23559,What is meant by temporal data
+23560,23560,What are the dimensions of data
+23561,23561,What is Artificial Intelligence short answer
+23562,23562,What are annotations in machine learning
+23563,23563,What's the definition of annotation
+23564,23564,What is annotation in artificial intelligence
+23565,23565,How do you mark up a picture in Word
+23566,23566,What do you mean by synchronous and asynchronous data transfer
+23567,23567,What is the difference between synchronous and asynchronous data transfer
+23568,23568,What is synchronous data transfer
+23569,23569,What do you mean by Synchronus and Asynchronus assignment
+23570,23570,What is asynchronous learning mean
+23571,23571,How is the chi square independence test similar to the goodness of fit test how is it different
+23572,23572,What does chi square goodness of fit test mean
+23573,23573,What does goodness of fit test tell you
+23574,23574,What is a chi square test of independence used for
+23575,23575,Why is chi square goodness of fit test
+23576,23576,What is SGD in CNN
+23577,23577,What is the formula for sensitivity
+23578,23578,How do you calculate sensitivity and specificity in SPSS
+23579,23579,What does it mean if R squared is negative
+23580,23580,How do you get a negative r squared
+23581,23581,Can a coefficient of determination be negative
+23582,23582,Can you have a negative R2 value
+23583,23583,What does a negative R2 score mean
+23584,23584,Can a intercept coefficient ever be negative
+23585,23585,How do you know if a population is approximately normal
+23586,23586,How do you check data for normality
+23587,23587,What do classification algorithms do
+23588,23588,What are the algorithms used in data science
+23589,23589,What is classification data science
+23590,23590,Which algorithms can be used for classification
+23591,23591,What is a coefficient in statistics
+23592,23592,What is data structure in C and its types
+23593,23593,What is different types of data structure
+23594,23594,How is positive predictive value calculated
+23595,23595,How do you calculate positive and negative predictive values
+23596,23596,What is the formula for negative predictive value
+23597,23597,What is the difference between structured and unstructured data give examples
+23598,23598,What are structured data
+23599,23599,What is structured data and unstructured data
+23600,23600,What are the types of non random sampling
+23601,23601,What are random and non random sampling
+23602,23602,What are the techniques of random sampling
+23603,23603,What are the different type of sampling
+23604,23604,How does neural network reduce Overfitting
+23605,23605,What is considered a high covariance
+23606,23606,How do you interpret correlation
+23607,23607,Does covariance mean correlation
+23608,23608,Will Standardised scaling will affect the values of dummy variables
+23609,23609,What variables should be standardized
+23610,23610,How do you read a quantile quantile plot
+23611,23611,How do you interpret a QQ plot
+23612,23612,What is QQ plot in linear regression
+23613,23613,Why are QQ plots important
+23614,23614,How do you plot a QQ plot
+23615,23615,What is a QQ plot in SPSS
+23616,23616,What is dynamic clustering
+23617,23617,Is CNN a algorithm
+23618,23618,Can CNN be used for NLP
+23619,23619,Can a regression equation be negative
+23620,23620,What does a negative slope mean in regression
+23621,23621,How do you interpret R Squared in Regression
+23622,23622,What does R2 represent in regression
+23623,23623,What does non probability sampling mean
+23624,23624,Which is not a probability sampling method
+23625,23625,What is confusion matrix in Matlab
+23626,23626,What is confusion matrix Python
+23627,23627,Why is normal distribution asymptotic
+23628,23628,How do you prove asymptotic normality
+23629,23629,What is the asymptotic distribution of the MLE
+23630,23630,What does it mean that the normal distribution has asymptotic tails
+23631,23631,What is sampling and why is it necessary
+23632,23632,Is NumPy required for machine learning
+23633,23633,Why pandas is used in machine learning
+23634,23634,What is NumPy in python used for
+23635,23635,What is the use of pandas in Python
+23636,23636,How is machine learning loss calculated
+23637,23637,What is a random variable AP stats
+23638,23638,What does bivariate data mean
+23639,23639,What is the difference between proper subset and subset
+23640,23640,How do you interpret an F test
+23641,23641,What does T stand for in statistics
+23642,23642,When can F test be used
+23643,23643,Why do we use F test
+23644,23644,How do t tests work
+23645,23645,Why is Student t test used
+23646,23646,Can random forest handle missing values
+23647,23647,What is the purpose of a simulation in statistics
+23648,23648,What can we learn from the Matrix
+23649,23649,What is sub sampling
+23650,23650,What is subsample analysis
+23651,23651,Why is clustering unsupervised
+23652,23652,Is K means clustering unsupervised learning
+23653,23653,What is Sigma in Gaussian distribution
+23654,23654,What is Mu and Sigma in normal distribution
+23655,23655,How does increasing the kernel size affect the blur
+23656,23656,What does a low pass filter do to an image
+23657,23657,What is traditional machine learning
+23658,23658,What is the difference between AI ML and DL
+23659,23659,What is a core benefit of deep learning over traditional machine learning
+23660,23660,Is AI similar to human intelligence
+23661,23661,What is F value in Anova SPSS
+23662,23662,What does an F value of 0 mean
+23663,23663,What is a critical F value
+23664,23664,How do you find the critical value of F
+23665,23665,What is the value of F in F distribution
+23666,23666,Why is F test used
+23667,23667,Why is it called standard error
+23668,23668,What is the sampling error of the sample mean
+23669,23669,What is the standard error of the sampling distribution of the sample mean
+23670,23670,What is the formula used to calculate standard error
+23671,23671,How do you calculate the standard error of the mean in Excel
+23672,23672,What is meant by quantisation of charge
+23673,23673,What is meant by quantization of charge and conservation of charge
+23674,23674,How do you know if a QQ plot is normal
+23675,23675,How do you find the normality of a box plot
+23676,23676,How do you interpret a Detrended normal QQ plot
+23677,23677,What is QQ plot in SPSS
+23678,23678,When looking at a QQ plot in SPSS output describe how you can tell if the data is approximately normally distributed or not
+23679,23679,How do you interpret a PP plot in SPSS
+23680,23680,Is the normal QQ plot normal probability plot approximately linear Why or why not
+23681,23681,How do you know if a probability plot is normal
+23682,23682,Which type of error is the same as the significance level of a hypothesis test
+23683,23683,What is the relationship between the significance level and type I error
+23684,23684,What affects Type 2 error
+23685,23685,What does biased mean
+23686,23686,What makes a population parameter unbiased
+23687,23687,What makes a statistic biased
+23688,23688,Which of the following statistics are unbiased estimators of population parameters
+23689,23689,What is learning in pattern recognition
+23690,23690,What is pattern and pattern recognition
+23691,23691,What are ML models
+23692,23692,How do I know what machine learning model I have
+23693,23693,Who introduced the reinforcement concept in learning
+23694,23694,What is the difference between logit and probit
+23695,23695,What is engine efficiency formula
+23696,23696,How is statistical significance different from clinical significance
+23697,23697,What are the types of the optimization problem
+23698,23698,What is the null and alternative hypothesis for chi square test
+23699,23699,Why is a regression line important
+23700,23700,What is the purpose of regression line
+23701,23701,What are the uses of regression
+23702,23702,Why is the regression line the best fit
+23703,23703,What is a disadvantage of convenience sampling
+23704,23704,How do you determine a random sample size
+23705,23705,What is sample size and how it is determined
+23706,23706,Why is the mean larger than the median
+23707,23707,Is the mean or median greater in a normal distribution
+23708,23708,What is cross validation error
+23709,23709,Why is panel data better than others
+23710,23710,Why we use panel data analysis
+23711,23711,What is panel regression used for
+23712,23712,What is a pooled data
+23713,23713,Which of the following is a difference between panel and pooled cross sectional data
+23714,23714,How many independent variables should you have why
+23715,23715,Why is it acceptable to have multiple dependent variables
+23716,23716,What are the different types of filters
+23717,23717,Why LC filters are used in rectifiers
+23718,23718,Which filter circuit is best
+23719,23719,What's the difference between SMA and EMA
+23720,23720,How do you find the 2 norm of a vector
+23721,23721,How do you calculate norms
+23722,23722,What is the difference between L1 and L2 regularization
+23723,23723,What regularization is and why it is useful
+23724,23724,What is periodic function in Fourier series
+23725,23725,Why Fourier series is not used for aperiodic signals
+23726,23726,What is the difference between Dtft DFT and FFT
+23727,23727,Is Dtft linear
+23728,23728,Why is Fourier series used
+23729,23729,Which algorithm is used in CNN
+23730,23730,What is classification in CNN
+23731,23731,Does logistic regression Use sigmoid function
+23732,23732,Which mathematical function is used in logistic regression
+23733,23733,How do you find the sigmoid function
+23734,23734,Where is the activation function used
+23735,23735,Which probability distribution is not continuous
+23736,23736,Is a normal random variable a continuous random variable
+23737,23737,What is the normal random variable
+23738,23738,How is probability used in decision making
+23739,23739,What is Poisson distribution find the mean of Poisson distribution
+23740,23740,What are the uses of Poisson distribution
+23741,23741,Is BFS a greedy algorithm
+23742,23742,What is the matrix used to evaluate the predictive model
+23743,23743,How do you choose the best prediction model
+23744,23744,Should you scale categorical variables
+23745,23745,Why is the regression line called the least squares line
+23746,23746,How many types of data mining are there
+23747,23747,What is data mining methods
+23748,23748,What is classification and its types in data mining
+23749,23749,What are the steps of data mining
+23750,23750,What is data mining and its features
+23751,23751,What are the types of data in data mining
+23752,23752,What is stationary process in time series
+23753,23753,How can I improve my machine learning skills
+23754,23754,What are optimization models used for
+23755,23755,How can we improve performance of deep learning model
+23756,23756,What is an RL agent
+23757,23757,What is agent in machine learning
+23758,23758,How many entities are there in knowledge representation
+23759,23759,Is R2 the same as correlation coefficient
+23760,23760,Is Pearson correlation r or R2
+23761,23761,What is the difference between correlation and coefficient
+23762,23762,What does R2 correlation mean
+23763,23763,What is the difference between r2 and r2
+23764,23764,What does the coefficient of determination r tell you
+23765,23765,What is the coefficient of correlation and the coefficient of determination
+23766,23766,What does r2 mean in correlation
+23767,23767,What is the difference between R and R2
+23768,23768,What is the difference between coefficient of determination and coefficient of correlation
+23769,23769,What is the coefficient of alienation
+23770,23770,What does coefficient of determination tell you
+23771,23771,What is signal processing
+23772,23772,Where is signal processing used
+23773,23773,What are the types of variables
+23774,23774,What is discrete and continuous variables in research
+23775,23775,What is difference between discrete and continuous data
+23776,23776,How do you identify type I and type II errors
+23777,23777,How do you find the probability of a Type 2 error
+23778,23778,How is pixel connectivity defined
+23779,23779,What is adjacency in image processing
+23780,23780,Is deep learning a hype
+23781,23781,Which testing is best
+23782,23782,Which is the popular testing approaches
+23783,23783,Which technique can be used for testing process
+23784,23784,How do you find the median when given the mid value and frequency
+23785,23785,How do you find the median in a grouped frequency table
+23786,23786,What is the formula of median class
+23787,23787,What do you mean by frequency of a class interval
+23788,23788,How do you find the mean median and mode in a frequency table
+23789,23789,How do you find the mean in a frequency table
+23790,23790,How do you find the median in a frequency table
+23791,23791,What is classification and prediction in data mining ppt
+23792,23792,Is a neural network regression
+23793,23793,What is inverse of the normal cumulative distribution
+23794,23794,What is the inverse of a CDF
+23795,23795,What does inverse norm tell you
+23796,23796,What is inverse cumulative probability
+23797,23797,How do you find the inverse of a function
+23798,23798,Can a density function be negative
+23799,23799,What is Norm S Inv used for
+23800,23800,What is Normsinv formula
+23801,23801,How do you find the power of a statistical test
+23802,23802,What is from Logits in TensorFlow
+23803,23803,What does import Numpy mean
+23804,23804,What is difference between from and import in Python
+23805,23805,What is import and from in python
+23806,23806,What is the difference between import and from import statement
+23807,23807,How do you calculate probability of detection
+23808,23808,What is detection process
+23809,23809,What is the difference between Minimax and Alpha Beta pruning
+23810,23810,How is clustering achieved when several dimensions exist
+23811,23811,How do you use RNN for text classification
+23812,23812,What is degree of freedom in statistics
+23813,23813,What is meant by the reward pathways or the reward center of the brain
+23814,23814,How can recall rates be improved
+23815,23815,How can the accuracy of random forest be improved
+23816,23816,How do you increase precision in classification
+23817,23817,What is a recall in machine learning
+23818,23818,What is unbalanced data in machine learning
+23819,23819,What is the word vector
+23820,23820,What is a vector example
+23821,23821,What is called vector
+23822,23822,What does being a vector mean
+23823,23823,What is a vector in simple terms
+23824,23824,What is a vector and how is it used
+23825,23825,What is a vector in Python
+23826,23826,When can we use chi square test
+23827,23827,Is Chi square distribution continuous
+23828,23828,Is Chi square distribution skewed
+23829,23829,What type of statistics is chi square
+23830,23830,What are the properties of chi square distribution
+23831,23831,What is the difference of descriptive and inferential statistics
+23832,23832,What is the most common use of inferential statistics
+23833,23833,When should we reject the null hypothesis
+23834,23834,How do you accept or reject hypothesis
+23835,23835,Why is validation accuracy higher than training accuracy
+23836,23836,Why is validation loss less than training loss
+23837,23837,Which have higher training accuracy and low test accuracy called
+23838,23838,Can random forest be used for unsupervised learning
+23839,23839,How do you find upper limit and lower limit and margin of error
+23840,23840,How do you calculate upper bound and lower bound
+23841,23841,How do you calculate error bound margin
+23842,23842,How do you find the upper and lower bounds of a confidence interval
+23843,23843,Why does the margin of error increase when the sample size decreases
+23844,23844,Does margin of error depend on sample size
+23845,23845,How does decreasing decreasing the sample size affect the margin of error E
+23846,23846,What happens to standard error when sample size decreases
+23847,23847,How is edge detected
+23848,23848,How edges are detected in an image
+23849,23849,How is standard normal calculated
+23850,23850,How does pixel dimensions affect image quality
+23851,23851,What can trigger a false positive
+23852,23852,Can you use Anova for 2 groups
+23853,23853,How does Anova test between group differences
+23854,23854,How do you calculate statistical significance between two groups in Excel
+23855,23855,How do binomial and Poisson differ
+23856,23856,What is Poisson probability distribution used for
+23857,23857,What is the process of subtracting the mean of each variable from its variable called Course Hero
+23858,23858,Which controls the magnitude of a step taken during gradient descent
+23859,23859,How are the parameters updates during gradient descent
+23860,23860,What is the process of dividing each feature by its range called
+23861,23861,What is the name of the function that takes the input and maps it to the output variable called
+23862,23862,How does gradient descent algorithm work
+23863,23863,How do you display two categorical variables
+23864,23864,What is a large t statistic
+23865,23865,What is a significant t test score
+23866,23866,What does a low t statistic mean
+23867,23867,How do you know if at test is statistically significant
+23868,23868,How do you find the F test statistic
+23869,23869,How do you interpret F statistic in Anova
+23870,23870,Is t test a statistical test
+23871,23871,What type of statistics is t test
+23872,23872,How do you do singular value decomposition in Matlab
+23873,23873,What is classification Modelling
+23874,23874,What does a classification model do
+23875,23875,What does it mean when something is amortized
+23876,23876,How do you find the margin of error given the standard deviation
+23877,23877,How is the margin of error calculated
+23878,23878,How do you find standard error from mean and standard deviation
+23879,23879,What is the difference between XGBoost and GBM
+23880,23880,What is meant by classifier in machine learning
+23881,23881,What is a classifier in AI
+23882,23882,How do you visualize 2 categorical variables
+23883,23883,How do you visualize categorical variables
+23884,23884,How do you combine categorical variables
+23885,23885,What is the role of kernel in SVM
+23886,23886,What is the formula for F ratio
+23887,23887,What is the F ratio in regression
+23888,23888,HOW IS F test calculated
+23889,23889,What is F value and P value
+23890,23890,What information is provided by the F test
+23891,23891,What is the advantage of linear model of communication
+23892,23892,What does log mean
+23893,23893,What does log data do
+23894,23894,What is log transformation in regression
+23895,23895,Why do we take log of data
+23896,23896,How do you find the Y intercept in a linear regression
+23897,23897,What is the Y intercept of the regression line
+23898,23898,What are events in probability
+23899,23899,What types of events are there
+23900,23900,How do you rank up in Wilcoxon
+23901,23901,What is multimodal histogram
+23902,23902,What does bimodal mean in statistics
+23903,23903,What is the requirement of binary search
+23904,23904,How do you establish reliability
+23905,23905,How do you measure construct validity of a questionnaire
+23906,23906,How do you ensure validity and reliability of a questionnaire
+23907,23907,How do you ensure reliability and validity in survey research
+23908,23908,Is MongoDB a columnar database
+23909,23909,Is DynamoDB columnar database
+23910,23910,How do you control variance
+23911,23911,Why is a smaller variance better
+23912,23912,What does random numbers mean
+23913,23913,What is a random number for what purpose is it used
+23914,23914,How random is random
+23915,23915,How P value is calculated
+23916,23916,Is Poisson distribution a normal distribution
+23917,23917,Is Kelvin a ratio scale
+23918,23918,What type of scale is Kelvin
+23919,23919,Is Kelvin a metric unit
+23920,23920,Why is moving average used
+23921,23921,What moving averages to use
+23922,23922,What are the advantages of averages
+23923,23923,What are advantages of moving averages
+23924,23924,What is an advantage of moving average and/or exponential smoothing
+23925,23925,What is the advantage of moving average
+23926,23926,What are the limitations of moving average method
+23927,23927,What are some of the problems and drawbacks of the moving average forecasting model
+23928,23928,How does learning rate impacts convergence
+23929,23929,How do you do variance
+23930,23930,Is decision tree sensitive to imbalanced dataset
+23931,23931,Why did JJ Abrams leave lost
+23932,23932,What is JJ Abrams doing now
+23933,23933,How should you interpret a decision that fails to reject the null hypothesis
+23934,23934,What is data mining explain with example
+23935,23935,What is Data Mining provide an appropriate example
+23936,23936,Why is data mining important
+23937,23937,What is data mining and its need
+23938,23938,What is logistic regression and how does it work
+23939,23939,What are logistic regression models used for
+23940,23940,What is predictive analysis used for
+23941,23941,What is the main goal of statistics
+23942,23942,What is a primary function of statistical analysis
+23943,23943,What are the purposes of statistical analysis of research data
+23944,23944,What do we study when we study statistics
+23945,23945,Which of the following is instance based or lazy learning
+23946,23946,What is a training instance
+23947,23947,What is an instance in a dataset
+23948,23948,What do you mean by instances
+23949,23949,Which of the following is an application of Autoencoders
+23950,23950,Where are Autoencoders used
+23951,23951,Is PCA considered machine learning
+23952,23952,What does the variance tell you
+23953,23953,Why coefficient of variation is better than standard deviation
+23954,23954,When should you use the coefficient of variation
+23955,23955,Why would we use a coefficient of variation and why not just compare the standard deviations
+23956,23956,What is the rationale for using the coefficient of variation instead of standard deviation as a measure of variability
+23957,23957,What is the importance of correlation coefficient
+23958,23958,What is the difference between correlation and comparison
+23959,23959,What does statistical significance really mean
+23960,23960,What is convolution mask
+23961,23961,How do you do convolutions
+23962,23962,Why do we use convolution
+23963,23963,What is orange tool
+23964,23964,Which function is used to create an RBF neural network
+23965,23965,Which loss function is more robust to outliers
+23966,23966,What are the 2 types of inductive arguments
+23967,23967,What are the two kinds of arguments in Excel
+23968,23968,What is the application of regression
+23969,23969,How do you find the class interval from mid value in statistics
+23970,23970,How do you find class frequency in statistics
+23971,23971,What is a class size in statistics
+23972,23972,How do you calculate class size example
+23973,23973,What is T in multiple regression
+23974,23974,What does the T value mean in regression
+23975,23975,What is the t test used for in regression
+23976,23976,What is the difference between t test and regression
+23977,23977,Is systematic sampling probability or Nonprobability
+23978,23978,How do you find population variance in statistics
+23979,23979,What does variance mean in statistics
+23980,23980,How do you find population variance and standard deviation
+23981,23981,How do you calculate population variance from sample variance
+23982,23982,How do you use AIC for model selection
+23983,23983,What is AIC and BIC used for
+23984,23984,How do you find the degrees of freedom for a two way Anova
+23985,23985,Is degrees of freedom the sample size
+23986,23986,How do you find the degrees of freedom for two sample sizes
+23987,23987,How do you calculate Poisson approximation
+23988,23988,How do you approximate a binomial with Poisson
+23989,23989,What is the formula for the standard error of the normal approximation to the P distribution
+23990,23990,What are the conditions for a Poisson distribution
+23991,23991,What conditions do you think must be met in order for a normal distribution to be an accurate model for the binomial distribution
+23992,23992,When can a binomial distribution be approximated by a normal distribution
+23993,23993,What is relative entropy in information theory
+23994,23994,How is KL calculated
+23995,23995,How do you interpret KL divergence
+23996,23996,When there is an omitted variable in the regression that is a determinant of the dependent variable then
+23997,23997,How do I create an image classifier
+23998,23998,What is harmonic sequence formula
+23999,23999,What does λ stand for
+24000,24000,How do you interpret Association statistics
+24001,24001,What does batch size mean in deep learning
+24002,24002,How do I choose a batch size for deep learning
+24003,24003,How do you define batch size
+24004,24004,How much data do I need for deep learning
+24005,24005,What is the regression line of Y on X
+24006,24006,How do you find the regression equation of X on Y
+24007,24007,How do you predict Y from X
+24008,24008,What is the regression coefficient of Y on X
+24009,24009,How do you find the regression coefficient of X on Y
+24010,24010,What is the value of regression coefficient
+24011,24011,What is Perceptron Mcq
+24012,24012,Who invented Perceptron Neural Networks Mcq
+24013,24013,Is cross sectional study qualitative or quantitative
+24014,24014,What is the formula of Karl Pearson coefficient of skewness
+24015,24015,What is the equation for correlation coefficient r
+24016,24016,What does an odds ratio of 2 mean
+24017,24017,How do you explain odds ratio
+24018,24018,What is considered a good odds ratio
+24019,24019,How do you read Fleiss kappa
+24020,24020,How does excel calculate Fleiss kappa
+24021,24021,Can Excel calculate intraclass correlation
+24022,24022,What is the difference between Bernoulli and binomial
+24023,24023,What is the difference between a normal distribution and a binomial distribution
+24024,24024,How do you identify Bernoulli distribution
+24025,24025,What are the two parameters of binomial distribution
+24026,24026,What is two point distribution
+24027,24027,How do I extract data from twitter
+24028,24028,How do you analyze Twitter data
+24029,24029,How do you do a multilevel analysis in SPSS
+24030,24030,What is Multilevel logistic regression analysis
+24031,24031,What are tensors in Python
+24032,24032,How do you create a tensor in Python
+24033,24033,What are data points used for
+24034,24034,How do you write data points
+24035,24035,How many data points are enough
+24036,24036,How does normalization affect performance
+24037,24037,What are the benefits of normalization
+24038,24038,Why is normalization important machine learning
+24039,24039,Is Max pooling a linear operation
+24040,24040,Is Max pooling differentiable
+24041,24041,What does linear mean
+24042,24042,What is a linear function model
+24043,24043,How do you calculate linear forecast
+24044,24044,What does alternate forms reliability coefficient .82 mean
+24045,24045,Are binomial distributions continuous
+24046,24046,Is binomial distribution dependent
+24047,24047,Why is binomial distribution independent
+24048,24048,What is model based RL
+24049,24049,How do you sample from a distribution
+24050,24050,What does it mean to sample a distribution
+24051,24051,What do you mean by sample
+24052,24052,Why do we sample data
+24053,24053,What is a sample data
+24054,24054,What happens to distribution as sample size increases
+24055,24055,What happens to a T distribution as the degrees of freedom increase
+24056,24056,Do you need equal sample sizes for T test
+24057,24057,How does sample size affect the results of an experiment
+24058,24058,How does sample size influence the T distribution
+24059,24059,What kind of distribution is the t distribution
+24060,24060,What statistical tool is used for univariate statistical treatment
+24061,24061,How is univariate data displayed
+24062,24062,How do you find the relationship between variables in multiple regression
+24063,24063,How do you test the significance of a regression model
+24064,24064,What is regression significance
+24065,24065,How do you know if two variables are statistically significant
+24066,24066,What is multivariable calculus used for
+24067,24067,What is the multivariable chain rule
+24068,24068,What are two variable functions
+24069,24069,How do you optimize
+24070,24070,What is the principle of optimality which algorithm adopts the principle of optimality explain briefly
+24071,24071,What is optimality in algorithm
+24072,24072,What are the two properties of random sampling
+24073,24073,What is the function of random sampling
+24074,24074,What does random sampling allow
+24075,24075,What is the purpose of stratified random sampling
+24076,24076,What are the 2 types of sampling techniques
+24077,24077,What is proportional stratified random sampling
+24078,24078,When should a researcher use stratified random sampling
+24079,24079,When it is a directional test you should use
+24080,24080,What is a 2 sided alternative hypothesis
+24081,24081,Which variable is considered the dependent variable
+24082,24082,What is the dependent variable called
+24083,24083,Are dependent variables independent
+24084,24084,How do you calculate a trend
+24085,24085,Whats does trend mean
+24086,24086,What is trend and example
+24087,24087,What is the difference between trend and seasonality
+24088,24088,What's the difference between a trend and seasonality group of answer choices
+24089,24089,Is Dbscan hierarchical clustering
+24090,24090,What are the data preprocessing methods
+24091,24091,How do you preprocess data in data mining
+24092,24092,What is data preprocessing and why is it important
+24093,24093,Are events A and B independent
+24094,24094,Are events A and B mutually exclusive independent or both
+24095,24095,What Does It Mean If A and B are independent
+24096,24096,How do you know if two events are independent or dependent
+24097,24097,What is he P A or B equal to if the events A and B are mutually exclusive
+24098,24098,When A and B are independent events
+24099,24099,What is the difference between discrete and continuous quantitative variable data
+24100,24100,When would you use range in statistics
+24101,24101,What does the range mean in statistics
+24102,24102,What is AI and its types
+24103,24103,What is mean by artificial intelligence
+24104,24104,What is artificial intelligence with diagram
+24105,24105,What are the classification methods
+24106,24106,What are the 2 major classifications of data
+24107,24107,What are the steps of classification
+24108,24108,How do you determine regression
+24109,24109,Why machine learning is better than statistics
+24110,24110,Is statistics useful for machine learning
+24111,24111,Which is better data science or machine learning
+24112,24112,What supervised data
+24113,24113,What is feature extraction techniques
+24114,24114,What factors increase entropy
+24115,24115,What is an example of increasing entropy
+24116,24116,What type of energy is entropy
+24117,24117,Is entropy kinetic energy
+24118,24118,How is entropy related to internal energy
+24119,24119,Does high entropy mean high energy
+24120,24120,How is entropy increased
+24121,24121,How is entropy related to energy
+24122,24122,What happens when entropy increases
+24123,24123,What happens to energy and entropy during phase change
+24124,24124,How do you find the mode interval
+24125,24125,Which is the formula for determining mode
+24126,24126,Why is logistic regression called logistic
+24127,24127,What are logistic functions used for
+24128,24128,Why Clustering is important in real life applications
+24129,24129,What is Alpha in CAPM equation
+24130,24130,What does a positive alpha mean
+24131,24131,What is alpha and beta
+24132,24132,How is Alpha calculated
+24133,24133,What is a good alpha ratio
+24134,24134,What is a good Alpha
+24135,24135,What is Alpha Beta and R Squared
+24136,24136,Where do we use eigen values Mcq
+24137,24137,Where do we use eigenvalues *
+24138,24138,What is linear data in machine learning
+24139,24139,What does it mean when data is linear
+24140,24140,Which of the following is a variational method
+24141,24141,How does the variational energy different from the true energy of system
+24142,24142,What is linear variation principle
+24143,24143,What is the difference between biased and unbiased
+24144,24144,What is biased and unbiased sampling
+24145,24145,What is sample variance mean
+24146,24146,How do you do regression with multiple dependent variables in Excel
+24147,24147,How do you create a multiple regression model
+24148,24148,What is a multivariate linear regression model
+24149,24149,How do you find a systematic random sample
+24150,24150,What is data sparsity
+24151,24151,What does truncated mean in statistics
+24152,24152,What is ridge regression model
+24153,24153,How is artificial intelligence used in cyber security
+24154,24154,How AI can be used in security sector
+24155,24155,How does AI help in cyber security
+24156,24156,How does machine learning help cyber security
+24157,24157,How can cyber security be improved
+24158,24158,What is AI in cyber security
+24159,24159,How does Darktrace work
+24160,24160,Which is better cyber security or artificial intelligence
+24161,24161,What is filter response
+24162,24162,How do you find the frequency response of a filter
+24163,24163,How does a frequency filter work
+24164,24164,How do you describe frequency response
+24165,24165,What is low pass signal
+24166,24166,What is the frequency response of a filter
+24167,24167,What do you mean by a frequency response of a filter circuit
+24168,24168,How is frequency response measured
+24169,24169,What is filter frequency
+24170,24170,Why is the XFL different
+24171,24171,Why is XFL different
+24172,24172,What are the different rules for the XFL
+24173,24173,What's the point of the XFL
+24174,24174,How do you calculate P value from T
+24175,24175,Does T test give you p value
+24176,24176,What is the P value associated with the t statistic
+24177,24177,How do you determine the number of hidden layers
+24178,24178,What is frequency in an image
+24179,24179,What is frequency domain in image processing
+24180,24180,What is frequency example
+24181,24181,What is meant by FFT
+24182,24182,What is the need of Image Transform
+24183,24183,What does frequency content mean
+24184,24184,What is spectral content
+24185,24185,Are recommender systems supervised learning
+24186,24186,Does and mean multiply in probability
+24187,24187,How do you derive PDF from CDF
+24188,24188,What is the relationship between PDF CDF and PDF
+24189,24189,How do you derive the CDF of an exponential distribution
+24190,24190,How do you define a matrix
+24191,24191,What is a matrix and what is it used for
+24192,24192,What is matrix answer
+24193,24193,What is a basic matrix
+24194,24194,What does the Matrix has you mean
+24195,24195,What does it mean to be in a matrix
+24196,24196,What does stuck in the matrix mean
+24197,24197,What is the message in the Matrix
+24198,24198,Can you measure focus
+24199,24199,How do you completely focus
+24200,24200,How is attention measured
+24201,24201,How do you train attention and concentration
+24202,24202,What is visual attention
+24203,24203,What are the four elements in the attention process
+24204,24204,What is the problem with groupthink
+24205,24205,What is groupthink examples
+24206,24206,What is an example of a groupthink
+24207,24207,What is groupthink and why is it dangerous
+24208,24208,What does groupthink mean
+24209,24209,How do you input a matrix into Matlab
+24210,24210,How do you transverse a matrix in Matlab
+24211,24211,What does rank mean in linear algebra
+24212,24212,How do you find the rank of a matrix
+24213,24213,What is the P value in a 2 sample t test
+24214,24214,What is the 2 sample t test
+24215,24215,Why do we use distributions
+24216,24216,What is the probability of a random event
+24217,24217,What is the formula to find the probability of an event
+24218,24218,What does a low adjusted R squared mean
+24219,24219,Should adjusted R squared be high or low
+24220,24220,What is feature selection in image processing
+24221,24221,What is the feature extraction process in image processing
+24222,24222,What is feature space in image processing
+24223,24223,How do you create a stratified random sample in Excel
+24224,24224,What is a low pass filter used for
+24225,24225,What is a first order low pass filter
+24226,24226,When would you use a low pass filter
+24227,24227,What are blobs in image processing
+24228,24228,What is blob in deep learning
+24229,24229,Are any of the measures of dispersion among the range the variance and the standard deviation
+24230,24230,Is standard deviation a measure of dispersion
+24231,24231,What is the difference between dispersion and variance
+24232,24232,What is variance in measures of dispersion
+24233,24233,Is the variance the same as standard deviation
+24234,24234,What is dispersion of data
+24235,24235,Is variance a measure of dispersion
+24236,24236,Which of the following is not a relative measure of dispersion
+24237,24237,How do you find the range of variance
+24238,24238,What is considered high variance
+24239,24239,What is L2 penalty
+24240,24240,What is L1 regression
+24241,24241,What is the difference between L1 and L2 norms
+24242,24242,How do you select important features in machine learning
+24243,24243,What are variables in a data set
+24244,24244,Which of the following methods is used for variable selection
+24245,24245,Can kNN learn nonlinear boundary
+24246,24246,What is the difference between continuous and discrete variable
+24247,24247,What is meant by continuous variable
+24248,24248,When would you use a discrete variable
+24249,24249,What is the difference between discrete variables and continuous variable
+24250,24250,What is the difference of discrete and continuous
+24251,24251,What is multidimensional data in data mining
+24252,24252,What is meant by multidimensional
+24253,24253,What did you mean by homogeneous and heterogeneous data structures
+24254,24254,What does homogeneous population mean
+24255,24255,How can I improve my logical thinking
+24256,24256,Where are IDS placed network
+24257,24257,Where is an IPS commonly placed in a network *
+24258,24258,What is IPS IDS in networking
+24259,24259,What is a one tailed test used for
+24260,24260,What is the odds ratio in logistic regression
+24261,24261,How do you calculate odds ratio in SPSS
+24262,24262,How do you interpret log odds in logistic regression
+24263,24263,Why do we use statistics
+24264,24264,What is a binary regression
+24265,24265,What type of variable is dichotomous
+24266,24266,What is an example of dichotomous
+24267,24267,What is a binary dependent variable
+24268,24268,What is required for a function to be differentiable
+24269,24269,How do you know if a function is not differentiable at a point
+24270,24270,What do you mean by factor analysis
+24271,24271,What are factor scores in factor analysis
+24272,24272,What is a factor in statistics
+24273,24273,Under what general circumstances is factor analysis used
+24274,24274,What are the major uses of factor analysis
+24275,24275,Which is a type of factor analysis
+24276,24276,What percentage is a good goal for sentiment agreement
+24277,24277,What is polarity score in sentiment analysis
+24278,24278,What is Data sentiment analysis
+24279,24279,What happens to the mean of the sampling distribution If you decrease the sample size
+24280,24280,What happens to the mean and standard deviation of the distribution of sample means as the size of the sample decreases
+24281,24281,What is the benefit of using a logarithmic scale
+24282,24282,What is the argument of a logarithmic function
+24283,24283,What does unsupervised learning learn
+24284,24284,What is rejection area
+24285,24285,How do you calculate parameters of gamma distribution
+24286,24286,How do you find the MLE of Bernoulli distribution
+24287,24287,What type of data is used for Anova
+24288,24288,Is Anova a descriptive statistics
+24289,24289,Is intelligence just pattern recognition
+24290,24290,What type of research is a randomized control trial
+24291,24291,Is a Randomised control trial qualitative or quantitative
+24292,24292,Can a Randomised control trial be qualitative
+24293,24293,Is randomized controlled trial quantitative
+24294,24294,What is the difference between an observational study and a randomized experiment
+24295,24295,What is considered an observational study
+24296,24296,What is stochastic control system
+24297,24297,What is linear quadratic estimation
+24298,24298,Can logistic regression be used for non linear data
+24299,24299,Why Lstm can solve the gradient vanish problem
+24300,24300,What is the hidden state in Lstm
+24301,24301,Is H1 the null hypothesis
+24302,24302,What is the difference between a null hypothesis H0 and an alternative hypothesis H1
+24303,24303,How do you determine whether the hypothesis test is left tailed right tailed or two tailed
+24304,24304,How do you know if it is right tailed or left tailed
+24305,24305,Which of the following network has the highest accuracy on ImageNet dataset
+24306,24306,How do you use a TensorFlow TensorBoard
+24307,24307,What do you say when rejecting the null hypothesis
+24308,24308,How do you accept or reject the null hypothesis in regression
+24309,24309,How do you interpret the rejection of the null hypothesis
+24310,24310,How should you interpret a decision that rejects
+24311,24311,What happens when the null hypothesis is rejected
+24312,24312,What happens if test results reject a hypothesis
+24313,24313,When the input to an LTI system is
+24314,24314,What is supervised and unsupervised learning in machine learning
+24315,24315,What is the formula for discrete probability distribution
+24316,24316,How do you find the mean expected value of a discrete random variable
+24317,24317,How do you calculate expected value
+24318,24318,What is the expected value of a probability distribution
+24319,24319,What is the difference between mean and expected value
+24320,24320,What is meant by unit step function
+24321,24321,How do you find unit step from impulse signal
+24322,24322,How do you calculate impulse
+24323,24323,What is the function of impulse
+24324,24324,What is the unit impulse response
+24325,24325,What is the relationship between unit step and unit impulse Delta
+24326,24326,How impulse function works in Matlab
+24327,24327,What is impulse signal in Matlab
+24328,24328,What is impulse sequence
+24329,24329,What are the uses of sample method
+24330,24330,Why sampling is used in research
+24331,24331,How do you find the sample of a population
+24332,24332,What is the formula for population size
+24333,24333,Is the sample mean within the confidence interval
+24334,24334,What does the confidence interval tells us about a sample mean
+24335,24335,Which gives non linearity to a neural network
+24336,24336,Is ReLU nonlinear
+24337,24337,What is the aim of a regression analysis
+24338,24338,What is a control variable in statistics
+24339,24339,What is a control variable in regression
+24340,24340,Why is it important to have a control in an experiment
+24341,24341,Why are unbiased estimators useful
+24342,24342,What is AQL sampling
+24343,24343,How is AQL calculated
+24344,24344,What is single sampling and double sampling
+24345,24345,What is AQL in sampling plan
+24346,24346,Why do many things in real life follow the normal distribution
+24347,24347,Why do we care about normal distribution
+24348,24348,What follows normal distribution
+24349,24349,What does bagging mean
+24350,24350,What is percentage of variability
+24351,24351,What is percentage variation
+24352,24352,What is a good variance percentage
+24353,24353,How do you find percent variation
+24354,24354,What is the H statistic
+24355,24355,How do I report a Kruskal Wallis H test
+24356,24356,How do you find the CDF of a continuous random variable
+24357,24357,What is a continuous PDF
+24358,24358,How many types are available in machine learning Mcq
+24359,24359,How do you do discriminant analysis in SPSS
+24360,24360,Why is beta distribution bimodal
+24361,24361,How do you find the CDF of a beta distribution
+24362,24362,What does coefficient of variation tell us
+24363,24363,How do you interpret coefficient of variation
+24364,24364,Why we use variance in statistics
+24365,24365,How do you interpret variation in statistics
+24366,24366,What is modeling and analysis
+24367,24367,What is data modeling explain with example
+24368,24368,What is data Modelling used for
+24369,24369,How do you measure data analysis
+24370,24370,What does statistics mean in Modelling
+24371,24371,What does sensitivity of a test mean
+24372,24372,Which best defines sensitivity of a test
+24373,24373,What does it mean if the data is positively skewed
+24374,24374,What is multivariate categorical data
+24375,24375,Is the dependent variable the one that stays the same
+24376,24376,What is another term we use for the dependent variable
+24377,24377,What is the agent
+24378,24378,How many types of agents are there in artificial intelligence Mcq
+24379,24379,What is agent architecture in AI
+24380,24380,How many topics are there in LDA
+24381,24381,What are the pros and cons of random sampling
+24382,24382,What are the advantages and disadvantages of purposive sampling
+24383,24383,Is stratified random sampling biased
+24384,24384,How does stratified sampling avoid bias
+24385,24385,What is SC parallelize in spark
+24386,24386,Is repartition an action in spark
+24387,24387,How do you find the value of Tensor
+24388,24388,How do I get a Tensorflow tensor name
+24389,24389,What is TensorFlow variable
+24390,24390,How do you declare a variable in TensorFlow
+24391,24391,What data is usually stored in a TensorFlow variable
+24392,24392,What is a tensor in keras
+24393,24393,Does keras come with TensorFlow
+24394,24394,How do you enter demographic data in SPSS
+24395,24395,How do I compare two groups in SPSS
+24396,24396,What is the purpose of data analytics
+24397,24397,What is the ultimate purpose of analytics
+24398,24398,Why is Multicollinearity a problem
+24399,24399,How do you handle correlated features
+24400,24400,What do we use correlation for
+24401,24401,Can logistic regression be used for categorical variables
+24402,24402,What violates the assumptions of regression analysis
+24403,24403,What is B value in logistic regression
+24404,24404,What is the difference between a sample statistic and a population parameter
+24405,24405,What do you mean by learning in neural network
+24406,24406,How do you interpret F test results
+24407,24407,How do you interpret the significance F in regression
+24408,24408,What does a high F value mean in regression
+24409,24409,What is F change in regression
+24410,24410,How would you describe a confusion matrix
+24411,24411,What is linear forecast
+24412,24412,Is linear regression used for prediction
+24413,24413,Is sample median unbiased
+24414,24414,What is the difference between RMSE and standard deviation
+24415,24415,How do you find the root mean square deviation
+24416,24416,What is the standard deviation of the mean and how is it different from standard deviation
+24417,24417,How do you know when to use a binomial distribution
+24418,24418,How prediction is different from classification in data mining
+24419,24419,What programming language is used for data analytics
+24420,24420,Does big data analytics involve coding
+24421,24421,What is meant by extrapolation in statistics
+24422,24422,How do you do interpolation and extrapolation
+24423,24423,What is extrapolation method of forecasting
+24424,24424,What is extrapolation error
+24425,24425,Why are decision tree classifiers so popular
+24426,24426,What is the advantage of decision tree
+24427,24427,What are the main areas where decision tree can be applied
+24428,24428,How are Poisson and binomial distribution related
+24429,24429,Why the binomial distribution is a special case of the Poisson binomial distribution
+24430,24430,What is the relation between binomial and Poisson distribution
+24431,24431,Can the mean of a Poisson random variable be negative
+24432,24432,Where is Kalman filter used
+24433,24433,What is an observation matrix
+24434,24434,What is a multivariable regression
+24435,24435,What are the differences between bivariate regression and multiple regression
+24436,24436,What is a GLS model
+24437,24437,Why do we use OLS
+24438,24438,What does OLS regression do
+24439,24439,Is linear algebra before calculus
+24440,24440,Is Linear Algebra the same as calculus
+24441,24441,How do we measure accuracy of a forecasting model
+24442,24442,What are three measures of accuracy in forecasting time series data
+24443,24443,How do you find the accuracy of an Arima model
+24444,24444,How do you measure forecast accuracy
+24445,24445,What do you understand by Arima model in time series data analysis
+24446,24446,What is the use of transfer learning
+24447,24447,What is stimulus generalization and discrimination
+24448,24448,Which is an example of stimulus generalization
+24449,24449,What is the difference between stimulus generalization and stimulus discrimination
+24450,24450,What is stimulus generalization example
+24451,24451,What is the difference between stimulus discrimination and stimulus generalization
+24452,24452,What is an example of stimulus class
+24453,24453,Why is there a dropout layer
+24454,24454,What is dropout ML
+24455,24455,What is dropout technique
+24456,24456,Which of the following is not an assumption of the binomial experiment
+24457,24457,What are time series methods
+24458,24458,How do I read time series data in R
+24459,24459,What is the difference between population and sample
+24460,24460,How do you know when to use population or sample standard deviation
+24461,24461,When to use sample mean vs population mean
+24462,24462,Is sample standard deviation always smaller than population standard deviation
+24463,24463,Is sample mean smaller than population mean
+24464,24464,What's the meaning of clusters
+24465,24465,Why Clustering is used in data mining
+24466,24466,Why is clustering used in machine learning
+24467,24467,What regressed data
+24468,24468,When can we reject the null hypothesis
+24469,24469,Do we want to reject the null hypothesis
+24470,24470,How do you reject a hypothesis
+24471,24471,How do you reject the null hypothesis
+24472,24472,Is the probability of rejecting the null hypothesis when it is true
+24473,24473,How do you determine if a hypothesis is correct
+24474,24474,What is the probability that we reject when in fact is true
+24475,24475,What does it mean when a hypothesis is rejected
+24476,24476,How does SLI improve performance
+24477,24477,Does SLI improve FPS
+24478,24478,Does SLI increase FPS
+24479,24479,How does SLI affect performance
+24480,24480,What is random method
+24481,24481,What does AI mean sexually
+24482,24482,What does the word AI mean
+24483,24483,Is AI actually intelligent
+24484,24484,How is cosine distance calculated
+24485,24485,How do you find an angle between two points
+24486,24486,How do you find the direction between two vectors
+24487,24487,What is artificial intelligence machine learning deep
+24488,24488,What does controlling for variables mean
+24489,24489,Why regression analysis is considered as the forecasting technique
+24490,24490,What is the role of regression analysis in demand forecasting
+24491,24491,What are the main uses of regression analysis
+24492,24492,Is deep learning the future of AI
+24493,24493,Which of the following is an example of a discrete random variable quizlet
+24494,24494,Why do we need to use bootstrapping
+24495,24495,What is resampling in big data
+24496,24496,How do you fit data into a model
+24497,24497,What is model fit in statistics
+24498,24498,What is NumPy and Matplotlib
+24499,24499,Where is Matplotlib located
+24500,24500,Is Matplotlib from Matlab
+24501,24501,What is statistical features in image processing
+24502,24502,What are the types of statistical tools
+24503,24503,What is feature extraction in computer vision
+24504,24504,How does feature extraction work
+24505,24505,What linear algebra is used in machine learning
+24506,24506,How do you do linear algebra in machine learning
+24507,24507,Why does machine learning use linear algebra
+24508,24508,What does delta function mean
+24509,24509,What is the Fourier transform of Dirac delta function
+24510,24510,Is Dirac delta function continuous
+24511,24511,Why Dirac delta is not a function
+24512,24512,What is the Laplace transform of a function
+24513,24513,What is the Fourier transform of a delta function
+24514,24514,What is Dirac delta function and its Fourier transform and its importance
+24515,24515,Why isn't the Dirac delta function a function
+24516,24516,Is unit impulse function even
+24517,24517,What is variation in statistics
+24518,24518,How do you Cluster Analysis in R
+24519,24519,Which function is specifically used to plot clusters in R
+24520,24520,How do you cluster in R
+24521,24521,How do you plot a cluster
+24522,24522,What is realtime application
+24523,24523,What is the use of real time
+24524,24524,What are the types of real time system
+24525,24525,What are examples of real time applications
+24526,24526,How many types of real time systems are there
+24527,24527,What is real time operating system with example
+24528,24528,Is AIC positive or negative
+24529,24529,What does it mean when AIC is negative
+24530,24530,What are the uses of inferential statistics
+24531,24531,What are features of an image
+24532,24532,How does the Fast Fourier Transform work
+24533,24533,How does a Fourier transform work
+24534,24534,Do partitions improve performance
+24535,24535,Does Multicollinearity effects random forest
+24536,24536,Does Multicollinearity affect classification
+24537,24537,How does correlation not prove causation
+24538,24538,What is difference between bias and variance
+24539,24539,What is variability mean
+24540,24540,What is bias in statistics
+24541,24541,How can you improve the performance of a deep learning model
+24542,24542,How do I get better at deep learning
+24543,24543,What can deep learning be used for
+24544,24544,How do you write a predictive algorithm
+24545,24545,What is modality learning
+24546,24546,What is a modality
+24547,24547,What is input modality
+24548,24548,What is a multimodal learning style
+24549,24549,Which programming language is used in AI
+24550,24550,What algorithm does facial recognition use
+24551,24551,What do you mean by big data analytics
+24552,24552,What is data analytics in simple words
+24553,24553,Is big data and data analytics same
+24554,24554,What is data analytics and big data
+24555,24555,What is the difference between data and big data
+24556,24556,What is Entropy in data compression
+24557,24557,What is entropy of the given source
+24558,24558,What is the use of statistical inference
+24559,24559,What are the two branches of statistical inference
+24560,24560,What are the two major methods for doing statistical inference
+24561,24561,What is prior in deep learning
+24562,24562,What is a prior in statistics
+24563,24563,How do you analyze residuals
+24564,24564,How do you read a standardized residual plot
+24565,24565,Is it better to have a positive or negative residual
+24566,24566,What does it mean for a residual to be negative
+24567,24567,What is an example of posterior
+24568,24568,How do you construct a probability distribution using a frequency distribution
+24569,24569,What does the logit function do
+24570,24570,How do I get started in reinforcement learning
+24571,24571,Is averaging filter linear
+24572,24572,Is Gaussian filter linear
+24573,24573,What is the difference between independent and mutually exclusive events
+24574,24574,What is a policy in machine learning
+24575,24575,Why do we need a sigmoid activation function
+24576,24576,Why do we use sigmoid function in logistic regression
+24577,24577,Is bagging an ensemble classifier
+24578,24578,How do you write up a correlation
+24579,24579,How do you create a correlation matrix
+24580,24580,What is the independent variable in correlation
+24581,24581,What is step size in LMS algorithm
+24582,24582,What is difference between batch size and epoch
+24583,24583,What is an epoch in CNN
+24584,24584,How do you manage large data sets
+24585,24585,How do you handle big data
+24586,24586,How do you analyze a lot of data
+24587,24587,How do you handle large amounts of data
+24588,24588,What does it mean to train a dataset
+24589,24589,How do you learn inductive reasoning
+24590,24590,In what instances can you practice your inductive reasoning
+24591,24591,What does inductive reasoning measure
+24592,24592,How do you answer inductive reasoning
+24593,24593,How do I get better at reasoning tests
+24594,24594,How do you study logical reasoning
+24595,24595,What do logical reasoning tests show
+24596,24596,How do you compare a sample to a population
+24597,24597,How do you compare two distributions
+24598,24598,Why is it useful to compare different distributions
+24599,24599,How do you know if two averages are statistically different
+24600,24600,What is dimensionality in data mining
+24601,24601,What does the input () function return
+24602,24602,What does input () split () do
+24603,24603,What is the function of the input character
+24604,24604,What are the characteristics of normal distribution
+24605,24605,What qualifies as normal distribution
+24606,24606,How do you know when data is normally distributed
+24607,24607,Why do we create dummy variables in regression
+24608,24608,Do you have to create dummy variable for categorical variables in logistic regression
+24609,24609,What is energy spectral density
+24610,24610,Why are neural networks better
+24611,24611,Why use artificial neural networks what are its advantages
+24612,24612,What are the features of neural network
+24613,24613,Why is spaCy used
+24614,24614,Why do we use NLTK
+24615,24615,What does spaCy stand for
+24616,24616,What algorithm does spaCy use
+24617,24617,What is spaCy trained on
+24618,24618,What is the correct description of an estimator
+24619,24619,Why we use regression method of estimation
+24620,24620,Is an estimate a statistic
+24621,24621,What is considered a statistic
+24622,24622,Is an estimator a random variable
+24623,24623,How do you calculate sample size for RCT
+24624,24624,How do you find the sample size on the basis of a pilot study
+24625,24625,What information is needed to calculate sample size for an equivalence study
+24626,24626,What is experimental error example
+24627,24627,What does experimental error mean
+24628,24628,What is meant by experimental error
+24629,24629,What is logistic regression algorithm
+24630,24630,Is logistic regression a machine learning algorithm
+24631,24631,How do you do logistic regression in machine learning
+24632,24632,What is regression algorithm in machine learning
+24633,24633,Why is decision tree a weak learner
+24634,24634,What are the types of Normalisation
+24635,24635,What is normalization Why do we need to normalize our database explain various normal forms by taking proper examples
+24636,24636,Can decision trees be used only for binary classification tasks
+24637,24637,Is decision tree always binary
+24638,24638,What is the meaning of Optimizer
+24639,24639,How do you find the similarity of a matrix
+24640,24640,What does similar matrix mean
+24641,24641,Can a matrix be diagonalized
+24642,24642,What matrices are similar to the identity matrix
+24643,24643,Do similar matrices have the same Eigenspace
+24644,24644,Do similar matrices have the same column space
+24645,24645,Do similar matrices have the same kernel
+24646,24646,What is meant by imbalanced data
+24647,24647,What are the advantages of multi layer Perceptron MLP )
+24648,24648,What are the demerits of MLP
+24649,24649,How does attention work NLP
+24650,24650,Which is better random forest or decision tree
+24651,24651,What is neural network in AI
+24652,24652,What does neural network mean
+24653,24653,What is the difference between Q type factor analysis and cluster analysis
+24654,24654,How do you find the Poisson distribution in Excel
+24655,24655,What does Lambda mean in Poisson
+24656,24656,What is the rate parameter λ
+24657,24657,What are the two flavors of supervised learning
+24658,24658,How do you calculate insulin correction factor
+24659,24659,How is ICR and ISF calculated
+24660,24660,How is mmol L insulin sensitivity factor calculated
+24661,24661,How do you calculate correction factor
+24662,24662,How do you use finite population correction factor
+24663,24663,What is the correction factor in the formation of frequency distribution
+24664,24664,When the value of the upper limit is not included in the class magnitude it is known as
+24665,24665,What is loss in training
+24666,24666,What purpose does the assessment of inter rater reliability serve quizlet
+24667,24667,What does interrater reliability mean
+24668,24668,How do you determine interrater reliability
+24669,24669,What are the variables in a chi square test
+24670,24670,What is the dependent variable in a chi square test
+24671,24671,How do you test independent variables
+24672,24672,What does a test for independence assess
+24673,24673,How do you test for independent
+24674,24674,What is multi stage sampling techniques
+24675,24675,What is a cluster in a distribution
+24676,24676,How do you identify a cluster
+24677,24677,What is map in object detection
+24678,24678,What is the meaning of discrete variables
+24679,24679,What does discrete mean
+24680,24680,What cross validation technique would you use on a time series dataset
+24681,24681,What is the difference between training data and test data
+24682,24682,What is training set and test set in a machine learning model
+24683,24683,What is training data and test data in machine learning
+24684,24684,Why should the data be partitioned into training and validation sets
+24685,24685,What does the log of a variable mean
+24686,24686,What is log used for in statistics
+24687,24687,How do you interpret LN in regression
+24688,24688,What is a cluster used for
+24689,24689,Which is better standard error or standard deviation
+24690,24690,What does the standard error of difference mean
+24691,24691,What is the relationship between sampling error and the standard error of the mean
+24692,24692,Is sampling error the same as standard deviation
+24693,24693,What are the 2 different types of data
+24694,24694,What is the types of data
+24695,24695,What is quantitative vs qualitative data
+24696,24696,How do you find the probability in a decision tree
+24697,24697,When can you use Stokes Theorem
+24698,24698,On which law divergence theorem is based on
+24699,24699,When can we use divergence theorem
+24700,24700,What is Gauss law used for
+24701,24701,How do you verify the Gauss divergence theorem
+24702,24702,What does the divergence tell you
+24703,24703,What is the significance of divergence
+24704,24704,Is divergence positive or negative
+24705,24705,Which distributions are skewed
+24706,24706,What is skewed distribution of data
+24707,24707,What causes a distribution to be skewed
+24708,24708,What is an agent in artificial intelligence Mcq
+24709,24709,Why should I use TensorFlow
+24710,24710,Should I use TensorFlow or keras
+24711,24711,How do you describe the shape of a sampling distribution
+24712,24712,What is a sampling distribution describe the properties of the sampling distribution of the means
+24713,24713,How do you find the mean of X Bar
+24714,24714,How do you find the mean of the sample x
+24715,24715,What is sample mean x bar
+24716,24716,How do you find the sample mean and standard deviation of X Bar
+24717,24717,What is the difference between variables and parameters
+24718,24718,What is the difference between parameter and constant
+24719,24719,What is the purpose of parameters for a function
+24720,24720,What is an unknown variable
+24721,24721,Is a variable An unknown number
+24722,24722,What is the known and unknown variables
+24723,24723,What is the difference between function and object
+24724,24724,How many propositions are there in an argument
+24725,24725,What is Proposition and its types
+24726,24726,What are the 2 parts of conditional sentence
+24727,24727,What are the two parts of a conditional statement used in an argument
+24728,24728,What is uncertainty explain Bayesian network with example
+24729,24729,How the Bayesian network can be used to answer any query
+24730,24730,Is logistic regression is mainly used for regression
+24731,24731,What is a good response rate
+24732,24732,What is response rate in statistics
+24733,24733,What is the minimum acceptable survey response rate
+24734,24734,What is a statistically significant survey response rate
+24735,24735,What is non response rate
+24736,24736,What was the rate of nonresponse for this sample
+24737,24737,What is ICA used for
+24738,24738,What is PCA and ICA
+24739,24739,What is ICA algorithm
+24740,24740,How does Independent component analysis work
+24741,24741,What is splitting in decision tree
+24742,24742,Is SVM unsupervised learning
+24743,24743,What algorithm is used in unsupervised machine learning
+24744,24744,Is Knn case based learning
+24745,24745,Are fixed effects control variables
+24746,24746,Is CNN part of Ann
+24747,24747,How do I choose a neural network
+24748,24748,How is CNN different from Ann
+24749,24749,How do you find the mean of a probability distribution on a TI 84 Plus CE
+24750,24750,How do you find the mean and standard deviation on a TI 84 Plus for probability distribution
+24751,24751,How do you find the mean of a frequency distribution on a TI 84
+24752,24752,Is 0.5 A strong correlation coefficient
+24753,24753,What is mean by image processing
+24754,24754,Is image processing part of AI
+24755,24755,What are exploding gradients
+24756,24756,What is gradient tape in TensorFlow
+24757,24757,What is a gradient tape
+24758,24758,How do you find the critical value of T
+24759,24759,Is the T value the critical value
+24760,24760,What is the significance of eigenvalues
+24761,24761,What are eigenvalues and eigenvectors used for
+24762,24762,Why do we use eigenvectors
+24763,24763,What is the purpose of eigenvalues and eigenvectors
+24764,24764,What is the relationship between binomial and Bernoulli events
+24765,24765,What is the difference between the Bernoulli and binomial distributions
+24766,24766,Which distribution is based on the Bernoulli process to predict sample behavior
+24767,24767,What does a standard deviation of 1.4 mean
+24768,24768,What leads to a smaller p value
+24769,24769,What does a small p value indicate
+24770,24770,What does P in P value stand for
+24771,24771,What are neural networks
+24772,24772,Who started deep learning
+24773,24773,When did deep learning become popular
+24774,24774,Who created TensorFlow
+24775,24775,How long has machine learning been around
+24776,24776,How did machine learning evolve
+24777,24777,Who discovered deep learning
+24778,24778,What is Deep learning used for
+24779,24779,Where we can use deep learning
+24780,24780,What's the difference between convenience sampling and quota sampling
+24781,24781,Is quota sampling a convenience sample
+24782,24782,Why might you use cluster analysis as an analytic strategy
+24783,24783,What is posteriori knowledge
+24784,24784,How do you find the maximum posteriori
+24785,24785,What is HMM in machine learning
+24786,24786,How the weights are updated in the delta rule
+24787,24787,How does sample size affect spread
+24788,24788,How do I load a dataset
+24789,24789,How do you interpret standard error of regression
+24790,24790,Why we include error term in regression model
+24791,24791,How do you find the error term in regression
+24792,24792,What is the purpose of standard deviation
+24793,24793,Why is it better to use standard deviation
+24794,24794,Why we use standard deviation in statistics
+24795,24795,What are Hyperparameters in SVM
+24796,24796,How can SVM be classified Mcq
+24797,24797,How do you solve logarithms step by step
+24798,24798,How do you do logarithmic equations
+24799,24799,Can the value be a probability
+24800,24800,How does an AI work
+24801,24801,What technologies are used in AI
+24802,24802,What is the technology behind artificial intelligence
+24803,24803,How does artificial intelligence affect technology
+24804,24804,What is the most stable measure of variability
+24805,24805,How do you choose the best measure of variability
+24806,24806,Why is standard deviation preferable measure of variation
+24807,24807,Why is standard deviation better than variance
+24808,24808,Why is standard deviation used over variance as a measure of dispersion
+24809,24809,Why standard deviation is considered the best measure of variation
+24810,24810,Why do we encode categorical variables
+24811,24811,How do you measure random data
+24812,24812,What makes a sample random
+24813,24813,What does it mean for something to be random
+24814,24814,What is the process of attention
+24815,24815,How do you find P value from Z
+24816,24816,How do you find the p value in a one proportion z test
+24817,24817,How do you find the p value from a two tailed z test
+24818,24818,How do you find the P value and test statistic on a TI 84
+24819,24819,How do you find the p value on a Z 84
+24820,24820,What is meaning of p value in statistics
+24821,24821,What type of set is 0
+24822,24822,Is Regression a supervised learning technique
+24823,24823,Is regression supervised learning
+24824,24824,Is linear regression a supervised machine learning algorithm Why
+24825,24825,Why is regression machine learning
+24826,24826,How do you conduct a bivariate analysis
+24827,24827,How do you do a bivariate analysis in Excel
+24828,24828,What is the difference between using both tails versus one tail of the sampling distribution
+24829,24829,How do one tailed and two tailed tests differ
+24830,24830,Which sampling method is better
+24831,24831,What is the most biased sampling technique
+24832,24832,Why do we use the t distribution
+24833,24833,Why is t distribution flatter than normal distribution
+24834,24834,Does batch size affect performance
+24835,24835,What is mini batch in deep learning
+24836,24836,What does mini batch mean
+24837,24837,What is the difference between main effect and interaction effect in Anova
+24838,24838,How do you find the main effect
+24839,24839,Which statistical tools comes under bivariate analysis
+24840,24840,What does bivariate data consist of
+24841,24841,What type of data is chi squared used for
+24842,24842,Can Boxplot be used to detect outliers
+24843,24843,What techniques can be used to identify outliers
+24844,24844,How do you convert standard score to Z score
+24845,24845,How is Z score different from Z test
+24846,24846,What is clustering and what are different methods of clustering used in data mining
+24847,24847,What is machine learning and how does it work
+24848,24848,What is artificial intelligence and machine learning examples
+24849,24849,What are examples of machine learning
+24850,24850,Where is machine learning used today
+24851,24851,What is machine learning and where it is used
+24852,24852,What industries use machine learning
+24853,24853,What is machine learning and types
+24854,24854,What is the meaning of probability sampling in statistics
+24855,24855,What is nonlinear trend
+24856,24856,What is linear and nonlinear
+24857,24857,What is linear number
+24858,24858,What is the difference between a linear and a non linear function
+24859,24859,What are advantages of data processing
+24860,24860,What are the advantages and disadvantages of manual data processing
+24861,24861,What are some examples of data quality problems
+24862,24862,What is a data issue
+24863,24863,What are the issues in data management
+24864,24864,What are the three main types of data error
+24865,24865,What is data processing and examples
+24866,24866,What's the difference between a population and a sample What is a census
+24867,24867,How do you validate data
+24868,24868,How many units a neural network have
+24869,24869,Does the population need to be normally distributed for the sampling distribution of
+24870,24870,What makes a sample normally distributed
+24871,24871,Will the sampling distribution of always be approximately normally distributed explain
+24872,24872,What is bias in a model
+24873,24873,What is the meaning of discriminator
+24874,24874,How does a discriminator work
+24875,24875,How do you test for Gan
+24876,24876,What is the equation for correlation
+24877,24877,How do you calculate covariance and variance
+24878,24878,What is residual distribution
+24879,24879,What is Bernoulli trials in probability
+24880,24880,What is the mean and variance of a Bernoulli binomial distribution
+24881,24881,What does gradient descent actually mean
+24882,24882,How do you use variable in a sentence
+24883,24883,What is the synonym for variable
+24884,24884,What is variable in simple words
+24885,24885,What is an example of the word variable
+24886,24886,What is meant by sampling distribution
+24887,24887,What does the sampling distribution describe quizlet
+24888,24888,What are the 2 types of sampling
+24889,24889,What are sampling errors in research
+24890,24890,What does Type I error mean
+24891,24891,What does random random () do
+24892,24892,What is random used for
+24893,24893,Why is the Z score considered a standard score
+24894,24894,How do you find the z score of a percentage
+24895,24895,How do you find the Z score without the mean
+24896,24896,How do you find the unusual z score
+24897,24897,What is the easiest way to find the Z score
+24898,24898,What can you use to check consistency of an estimator
+24899,24899,How much correlation is too much for regression
+24900,24900,What is the cutoff for Multicollinearity
+24901,24901,How is Vif calculated
+24902,24902,How is the ROC curve plotted
+24903,24903,How is ROC curve calculated
+24904,24904,How is ROC plotted
+24905,24905,What is ROC curve in statistics
+24906,24906,What is LGD and EAD
+24907,24907,How is EAD calculated
+24908,24908,What is the difference between EAD and LGD
+24909,24909,What is the distribution of sample means
+24910,24910,Why is the distribution of sample means normal
+24911,24911,What are the assumptions of multiple regression
+24912,24912,How do you perform a matrix operation
+24913,24913,What are matrices used for
+24914,24914,What is the difference between Poisson distribution and normal distribution
+24915,24915,What do descriptive statistics tell us
+24916,24916,How do you analyze descriptive statistics
+24917,24917,How do I interpret descriptive statistics in SPSS
+24918,24918,What descriptive statistics should be reported
+24919,24919,How do you find the test statistic for a sample
+24920,24920,How do you find the t test for two independent samples
+24921,24921,What are the two types of hypotheses used in a hypothesis test how are they related what are the two types of hypotheses used in a hypothesis test
+24922,24922,What are the two types of hypotheses
+24923,24923,What is alternative and null hypothesis
+24924,24924,What is hypothesis testing and its types
+24925,24925,What is the difference between null hypothesis and alternative hypothesis
+24926,24926,What is the relationship between null and alternative hypothesis
+24927,24927,What is an OLS line
+24928,24928,What does OLS regression mean
+24929,24929,What is the regression line
+24930,24930,What is an algorithm give an example
+24931,24931,How do you start algorithms and data structures
+24932,24932,What is needed to calculate variance
+24933,24933,Why do you need a measure of variability
+24934,24934,What is the difference between standard deviation and population standard deviation
+24935,24935,When should you use population standard deviation
+24936,24936,What is population variance and standard deviation
+24937,24937,What is a population variance
+24938,24938,What is MLE in machine learning
+24939,24939,What is MLE in statistics
+24940,24940,What is likelihood function in Bayesian
+24941,24941,How does sleep help to develop your intelligence
+24942,24942,How do you scale data
+24943,24943,What is the importance of scaling in data analysis
+24944,24944,What is scaling and types of scaling
+24945,24945,Whats does scale mean
+24946,24946,What is scaling Why is scaling performed what is the difference between normalized scaling and standardized scaling
+24947,24947,Why is standard scaler used
+24948,24948,What are example of trends
+24949,24949,What are some possible uses of trends data
+24950,24950,Under what circumstances is stratified random sampling design considered appropriate
+24951,24951,Where is stratified sampling applied
+24952,24952,What are the types of knowledge in AI
+24953,24953,How do you represent knowledge as a symbol structure
+24954,24954,What is knowledge base in NLP
+24955,24955,What is regression and classification in machine learning
+24956,24956,Which is linear operator
+24957,24957,What is the depth of a neural network
+24958,24958,Which of the following is true about model capacity where model capacity means the ability of neural network to approximate complex functions
+24959,24959,How do you count hidden layers
+24960,24960,What kind of relationship between the independent and dependent variables
+24961,24961,What kinds of relationships can there be between two variables
+24962,24962,How do I load data into redshift
+24963,24963,How do I transfer data from S3 bucket to redshift
+24964,24964,Is AWS redshift a database
+24965,24965,What does outlier person mean
+24966,24966,How do you tell if it's an outlier
+24967,24967,What's the opposite of downside
+24968,24968,How do you use outliers
+24969,24969,Where are beta endorphins released from
+24970,24970,What are degrees of freedom in regression
+24971,24971,How do you calculate degrees of freedom in regression
+24972,24972,How many degrees of freedom are there in multiple regression
+24973,24973,How do you know how many degrees of freedom
+24974,24974,How do you determine the degrees of freedom from the regression
+24975,24975,What degrees of freedom do you report in a multiple regression
+24976,24976,What does DF mean in regression analysis
+24977,24977,How do you adjust E steps
+24978,24978,How do you calibrate steps mm
+24979,24979,How do you calibrate an extruder
+24980,24980,How do you calibrate an extruder flow
+24981,24981,What is Gru machine learning
+24982,24982,What are the types of analytics within machine learning
+24983,24983,What is the naive Bayes algorithm used for
+24984,24984,What is NB in machine learning
+24985,24985,What is Gaussian naive Bayes algorithm
+24986,24986,What differs Standard naïve Bayes to binary multinomial naïve Bayes
+24987,24987,Why naive Bayes is a bad estimator
+24988,24988,What's so naive about naive Bayes
+24989,24989,What factors can cause a false positive pregnancy test
+24990,24990,How do you find the z score for a confidence interval
+24991,24991,What is Z value in confidence interval
+24992,24992,What are the four major types of descriptive statistics
+24993,24993,What are the four descriptive statistics
+24994,24994,What types of measures are used in descriptive statistics
+24995,24995,Does the sample size have an effect on the standard deviation of all possible sample means
+24996,24996,What happens to the standard deviation of a sampling distribution as the sample size increases
+24997,24997,What is the standard deviation of at distribution
+24998,24998,What is the standard deviation of the distribution of differences in sample means
+24999,24999,What is Boot short for
+25000,25000,Which distance can be used in Knn
+25001,25001,Which of the following distance measure do we use in case of categorical variables in Knn
+25002,25002,Which of the following distance metric can be used in K nn
+25003,25003,Does standardization affect correlation
+25004,25004,Does mean centering reduce Multicollinearity
+25005,25005,What are inputs for K means algorithm
+25006,25006,How do you choose K in K means
+25007,25007,What is K in K means
+25008,25008,What is the deviance
+25009,25009,How do you calculate deviance in logistic regression
+25010,25010,What is residual deviance in logistic regression
+25011,25011,How do you know when something is deviant
+25012,25012,What are the 4 types of deviance
+25013,25013,What is deviance give an example deviance
+25014,25014,Will data science be replaced by AI
+25015,25015,What does the second derivative test tell you about the behavior of F at these critical numbers
+25016,25016,What if second derivative is positive
+25017,25017,What does the second derivative tell you about concavity
+25018,25018,How does neural network AI work
+25019,25019,Do you think artificial neural networks are a good model of the brain Why or why not
+25020,25020,What is neural network in human brain
+25021,25021,What are eigenvectors good for
+25022,25022,Why do we use two regression equations
+25023,25023,What are the equations used in regression analysis
+25024,25024,How many types of regression equations are there
+25025,25025,How many classes should frequency distributions have
+25026,25026,What does the word intervals mean
+25027,25027,What does interval of time mean
+25028,25028,What does interval mean in exercise
+25029,25029,What is difference between multiple and multivariate regression
+25030,25030,How do you answer logarithms
+25031,25031,What is another word for logarithm
+25032,25032,What does log mean in writing
+25033,25033,What is generative algorithm
+25034,25034,What does Z mean in standard deviation
+25035,25035,What is the z distribution in statistics
+25036,25036,What is the beta coefficient in logistic regression
+25037,25037,What are fitted values in logistic regression
+25038,25038,How many parameters does a regression model have
+25039,25039,How do you find the regression parameter
+25040,25040,How do you measure the performance of a regression model
+25041,25041,What are the parameters of linear regression
+25042,25042,Which measure of central tendency and measure of dispersion are appropriate for the data
+25043,25043,How do you know which measure of central tendency is appropriate
+25044,25044,Which statistical measures of central tendency is the most stable
+25045,25045,How do I run a TensorFlow program
+25046,25046,What is serving in machine learning
+25047,25047,What is the use of probability distribution in data analysis
+25048,25048,Why do we need probability in statistics
+25049,25049,What are the uses of probability
+25050,25050,What is the use of probability in real life
+25051,25051,What is probability and why is it important
+25052,25052,What are the assumptions of Z test
+25053,25053,What conditions are necessary in order to use the Z test
+25054,25054,What conditions must be met for the Z test to be used to test a hypothesis concerning a population mean μ
+25055,25055,Are the assumptions and the conditions to perform a one proportion z test met
+25056,25056,When can the Z test be used in statistical hypothesis testing
+25057,25057,What are the conditions for a 2 proportion z test
+25058,25058,What are the conditions in which we apply Z test
+25059,25059,How do you do a two sample z test
+25060,25060,What conditions and assumptions are necessary for the sampling model of p1 p2 to be approximately normal
+25061,25061,How is hypothesis testing used to test claims about a population proportion
+25062,25062,What is statistics and uses of statistics
+25063,25063,What do coefficients mean in linear regression
+25064,25064,What does a coefficient represent
+25065,25065,What does coefficient of determination tell us
+25066,25066,How do you interpret multiple R values
+25067,25067,What do r2 values tell us
+25068,25068,How do I calculate the variance of the mean
+25069,25069,What is variance of the mean
+25070,25070,How do you calculate average variance extracted manually
+25071,25071,How do you calculate average variance in Excel
+25072,25072,How do you calculate average variance extracted in SPSS
+25073,25073,How do you calculate average variance extracted in Amos
+25074,25074,What is the variance of sample mean
+25075,25075,What is the variance of mean
+25076,25076,What is the difference between unimodal and bimodal
+25077,25077,How do you know if data is bimodal
+25078,25078,How do you calculate bimodal mode
+25079,25079,What does the term stochastic mean
+25080,25080,What is a stochastic approach
+25081,25081,Why do we use divergence theorem
+25082,25082,What does the divergence theorem mean
+25083,25083,How do you use the divergence theorem
+25084,25084,What is Ghost divergence theorem
+25085,25085,How do you classify models
+25086,25086,What is the difference between correlation and covariation
+25087,25087,How do you read a gradient descent
+25088,25088,What is the difference between gradient descent and steepest descent
+25089,25089,How do you predict accuracy in linear regression
+25090,25090,How do you know if a question is biased or unbiased
+25091,25091,How is a sample classified as biased
+25092,25092,What is the role of statistics in research
+25093,25093,What are uses of statistics
+25094,25094,What are the statistical tools used in research
+25095,25095,What are the statistical techniques used to treat research data
+25096,25096,What is fixed effect and random effect model
+25097,25097,What is Heteroscedastic data
+25098,25098,How can you tell if data is Heteroscedastic
+25099,25099,What is reliability and confidence level
+25100,25100,What is a confidence interval and why is it used
+25101,25101,What does confidence interval tell you
+25102,25102,Which AI is used to describe extracting information from unstructured text using algorithms
+25103,25103,How can you improve the accuracy of an experiment
+25104,25104,How can accuracy and precision be improved in an experiment
+25105,25105,How do you ensure accuracy while working
+25106,25106,Is it appropriate to use a regression line to predict y values for x values
+25107,25107,How do you predict y values using the equation of a regression line
+25108,25108,Is the from the regression of Y on X exactly the same as the from the regression of X on Y
+25109,25109,Would you use the regression line to predict Y from X
+25110,25110,Is a regression line the same as a line of best fit
+25111,25111,What affects the correlation coefficient
+25112,25112,What changes correlation
+25113,25113,How do you increase correlation
+25114,25114,Why is it important to Normalise data
+25115,25115,What does it mean to normalize a data set
+25116,25116,What happens at a neural synapse
+25117,25117,What is a synapse
+25118,25118,What is Synapse explain
+25119,25119,Which distribution is positively skewed
+25120,25120,Is Poisson distribution positively skewed
+25121,25121,Is skewed to the right positively skewed
+25122,25122,How do you reject a null hypothesis
+25123,25123,How do you reject or accept null hypothesis in t test
+25124,25124,Can you accept the null hypothesis
+25125,25125,What does it mean if you fail to reject the null hypothesis
+25126,25126,What is a good Z value
+25127,25127,What does a high z value mean
+25128,25128,Is logistic regression classification or regression
+25129,25129,What are the types of outliers
+25130,25130,What are outliers
+25131,25131,What classifies an outlier
+25132,25132,What are outliers in machine learning
+25133,25133,What is the purpose of a gradient
+25134,25134,Why do we need gradient descent
+25135,25135,Where is gradient used in real life
+25136,25136,How do you take a gradient
+25137,25137,How do you calculate Covariance from correlation
+25138,25138,How do you calculate variance and correlation
+25139,25139,What is covariance formula in statistics
+25140,25140,What is the key difference between supervised and unsupervised learning
+25141,25141,Is Overfitting a problem in clustering
+25142,25142,How do you find the frequency in probability
+25143,25143,Is frequency the same as probability
+25144,25144,What does relative frequency mean in probability
+25145,25145,What is CNN RNN
+25146,25146,How do I get better at naive Bayes
+25147,25147,How does Gaussian naive Bayes work
+25148,25148,Are PDF and PMF the same
+25149,25149,What is your definition of intelligence
+25150,25150,What are the 4 theories of intelligence
+25151,25151,What is an example of intelligence
+25152,25152,How do you calculate the power of a hypothesis test
+25153,25153,What is measured by the test statistic
+25154,25154,What affects the power of a hypothesis test
+25155,25155,What is backward indexing
+25156,25156,Which of the following is a type of statistical hypothesis
+25157,25157,How do you test statistical hypothesis
+25158,25158,What is next after deep learning
+25159,25159,What is deep learning specialization
+25160,25160,Which of the following is limitations of deep learning
+25161,25161,What is meant by discrete value
+25162,25162,How do you calculate the mean of a discrete random variable
+25163,25163,What is the mean of this discrete random variable
+25164,25164,How do you find the mean and standard deviation of a discrete random variable
+25165,25165,What is classification in artificial intelligence
+25166,25166,How do you find chebyshev interval
+25167,25167,How do you use Chebyshev's theorem in statistics
+25168,25168,Which learning method is used for image classification
+25169,25169,What are the algorithm used in image processing
+25170,25170,How do you know if you are a thinker
+25171,25171,What is the purpose of Z scores
+25172,25172,What does the Z value mean in statistics
+25173,25173,What is Z equal to
+25174,25174,What are the types of distribution
+25175,25175,What are types of distribution in statistics
+25176,25176,What type of distribution is at distribution
+25177,25177,What is Bayes theorem in AI
+25178,25178,What is correlation explain
+25179,25179,What is correlation and its uses
+25180,25180,What is the meaning of correlation and regression
+25181,25181,How do you know if two way table events are independent
+25182,25182,What is SVD in machine learning
+25183,25183,How is SVD calculated
+25184,25184,What is difference between PCA and SVD
+25185,25185,What makes the standard deviation larger or smaller
+25186,25186,What causes a large standard deviation
+25187,25187,What happens to standard deviation when sample size increases
+25188,25188,Does population size affect standard deviation
+25189,25189,What is the effect when the sample size is increased
+25190,25190,How do you find the accuracy of a decision tree
+25191,25191,Is decision tree unsupervised learning
+25192,25192,Is logistic regression a predictive model
+25193,25193,How does a logistic regression model work
+25194,25194,What is logistic regression model used for
+25195,25195,What is the goal of logistic regression
+25196,25196,What is logistics in simple words
+25197,25197,Why do we normalize data in machine learning
+25198,25198,What is the meaning of data normalization
+25199,25199,What is the normalizing
+25200,25200,What is normalization and why it is needed
+25201,25201,What is the difference between normalization and standardization
+25202,25202,On what basis we choose data scaling method normalization standardization
+25203,25203,Why do we need normalization in machine learning
+25204,25204,What does it mean filter
+25205,25205,Why median filter is used
+25206,25206,Is median filter low pass
+25207,25207,Which filter is best for Gaussian noise
+25208,25208,What is the difference between multiple linear regression and logistic regression
+25209,25209,How do you find the correlation coefficient of a data set
+25210,25210,How do you find the relationship between two sets of data
+25211,25211,How do you find correlation coefficient from R 2
+25212,25212,How do you find the coefficient of data
+25213,25213,How do you correlate two sets of data in Excel
+25214,25214,Which function in Excel gives the correlation between two sets of numeric values
+25215,25215,How do you find multiple correlation in Excel
+25216,25216,What does positive autocorrelation mean
+25217,25217,What is a neural network characterized
+25218,25218,What are the advantages characteristics of neural network
+25219,25219,What is weight initialization neural network
+25220,25220,How do you approximate a binomial using normal
+25221,25221,How do you find the approximate distribution
+25222,25222,What is the approximation method in statistics
+25223,25223,What does E in P value mean
+25224,25224,How do you interpret e
+25225,25225,What does E mean in linear equation
+25226,25226,Is a dummy variable An independent variable
+25227,25227,Is dummy a bad word
+25228,25228,What is dummy do
+25229,25229,How would the correlation change if we normalize the data first
+25230,25230,Does normalization affect correlation
+25231,25231,What is the use of Gaussian distribution
+25232,25232,Where does Gaussian distribution come from
+25233,25233,Is Gaussian normal
+25234,25234,How can sampling errors be prevented in research
+25235,25235,What is feature map CNN
+25236,25236,Why CNN is considered as deep learning
+25237,25237,What does the AIC value mean
+25238,25238,How do I choose an AIC model
+25239,25239,Where is normal distribution used
+25240,25240,What does a normal distribution tell you about the sample
+25241,25241,What is the difference between cross sectional and time series
+25242,25242,What is a cross sectional data analysis
+25243,25243,What is mutual information feature selection
+25244,25244,What is the unit of average mutual information
+25245,25245,What are log transformed variables
+25246,25246,What is a log transformation
+25247,25247,What is log transformation in image processing
+25248,25248,What is the purpose of IQ
+25249,25249,Where did IQ come from
+25250,25250,How can we check the linear regression assumption of normality
+25251,25251,How do you find the normality assumption
+25252,25252,Is Mean Value same as average
+25253,25253,Why is the average called the mean
+25254,25254,Is the mean the average
+25255,25255,Why is average called mean
+25256,25256,What is a data feature
+25257,25257,What is feature engineering in R
+25258,25258,What does .05 mean in statistics
+25259,25259,Is 0.05 considered statistically significant
+25260,25260,What does a probability of 0.05 mean
+25261,25261,How do you write a matrix function
+25262,25262,What makes a matrix not defined
+25263,25263,What do you understand by Matrix explain its function
+25264,25264,What is a trace of a matrix
+25265,25265,Why is trace sum of eigenvalues
+25266,25266,How do you prepare data
+25267,25267,How do you prepare data for data analysis
+25268,25268,How do you determine if a test is statistically significant
+25269,25269,Is error a variance
+25270,25270,What does mean squared error tell us
+25271,25271,What are uninformed search strategies
+25272,25272,What is the typical value of vigilance parameter in ART1 network
+25273,25273,What consists of competitive learning neural network
+25274,25274,Is observation qualitative research
+25275,25275,Is text analytics and NLP AI
+25276,25276,Is LDA sensitive to outliers
+25277,25277,How does Matlab calculate fractal dimension
+25278,25278,What is fractal dimension used for
+25279,25279,What is the fractal dimension of the Koch curve
+25280,25280,What is fractal and example
+25281,25281,Where can you find fractals in everyday life
+25282,25282,What is an example of a fractal
+25283,25283,How do you find the accuracy of a regression model
+25284,25284,How can logistic regression improve accuracy
+25285,25285,How do you interpret a logistic regression model
+25286,25286,What method is used to fit a logistic regression model
+25287,25287,How do you find the critical value for a left tailed z test
+25288,25288,What is first and second moment of area
+25289,25289,Which of the following is a disadvantage of K fold cross validation method
+25290,25290,Which of the following is used for K means clustering
+25291,25291,Why is clustering considered an unsupervised algorithm
+25292,25292,Why we use K means clustering
+25293,25293,What makes a distribution uniform
+25294,25294,Why does clumped distribution happen
+25295,25295,How do you prove linear independence of functions
+25296,25296,How do you check if a set of matrices are linearly independent
+25297,25297,How do you know if vectors are linearly independent or dependent
+25298,25298,How do you know if a vector is linearly dependent
+25299,25299,How do you know if a vector is linearly independent in Matlab
+25300,25300,Where can random sampling be used
+25301,25301,Why we use stratified random sampling
+25302,25302,What is an effective use of stratified sampling
+25303,25303,Under what circumstances stratified random sampling is considered appropriate
+25304,25304,How do you calculate state space representation from transfer function
+25305,25305,What is the difference between state space and transfer function
+25306,25306,How does Matlab calculate transfer function
+25307,25307,How can we represent knowledge
+25308,25308,What is the way of representing the knowledge in logic and reasoning
+25309,25309,Which of the following is a knowledge representation technique
+25310,25310,What is unbiased sample in math
+25311,25311,Why are residuals important when performing a regression analysis
+25312,25312,What is a residual in multiple regression
+25313,25313,How do you find the residual in a regression analysis
+25314,25314,What do you mean by residual analysis
+25315,25315,Can the bagging technique be applied to regression problems
+25316,25316,Can boosting be used for regression
+25317,25317,When should I use boost
+25318,25318,Do you think that the bagging procedure can be useful to improve the performance of linear regression Yes No insufficient information to answer the question
+25319,25319,What is the time complexity of the K Means algorithm
+25320,25320,How does the value of k affect the computational complexity of the K Means algorithm
+25321,25321,How do you find the value of K in K means clustering
+25322,25322,What is K in Kmeans
+25323,25323,What is hierarchical regression
+25324,25324,How do you find outliers in a time series
+25325,25325,What is the meaning of anomalies
+25326,25326,How do you prepare data for sentiment analysis
+25327,25327,How the data is analyzed using sentiment analysis
+25328,25328,How do you do sentiment analysis in machine learning
+25329,25329,How do you determine the goodness of a regression model
+25330,25330,How do you determine the regression line
+25331,25331,What is the probability distribution of the sample mean called
+25332,25332,What is the probability distribution of a sample statistic
+25333,25333,What are the two conditions that determine a probability distribution
+25334,25334,What 2 conditions determine a probability distribution
+25335,25335,What is a discrete probability distribution What are two conditions that determine a probability distribution
+25336,25336,What are the requirements for a binomial probability distribution
+25337,25337,What determines a binomial distribution
+25338,25338,What is required for a binomial experiment
+25339,25339,What is feature selection in machine learning
+25340,25340,What are the two characteristics of a normal distribution curve
+25341,25341,What makes a normal distribution a standard normal distribution
+25342,25342,What is the work of POS tagging
+25343,25343,What is the total area under probability distribution curve
+25344,25344,What is the sum under a normal distribution curve
+25345,25345,What is the total area under the normal distribution curve quizlet
+25346,25346,How do you know if data is normally distributed with mean and standard deviation
+25347,25347,Can neural networks count
+25348,25348,What is bias term in machine learning
+25349,25349,What is bias term in neural network
+25350,25350,What does relative frequency mean in math
+25351,25351,What is the effect of increasing the regularization parameter
+25352,25352,What is regularization technique
+25353,25353,What is the difference between regularization and normalization
+25354,25354,What is the difference between normalized scaling and standardized scaling
+25355,25355,Is NLP a technology
+25356,25356,What is the formula to find the discriminant
+25357,25357,How do you simplify the discriminant
+25358,25358,How do you know if a frequency distribution is normal
+25359,25359,How do you calculate missing data
+25360,25360,How do you handle missing data in ML
+25361,25361,What is the problem with missing data
+25362,25362,How much variance should be explained in PCA
+25363,25363,What is explained variance
+25364,25364,Why does PCA maximize variance
+25365,25365,What are the uses of mode
+25366,25366,Why is it useful to find the mean median and mode
+25367,25367,What is observer bias in research
+25368,25368,What are two sources of bias during an observation period
+25369,25369,What kind of efficiency can be evaluated during testing
+25370,25370,Which testing helps in evaluating the efficiency of system
+25371,25371,How do you determine whether you have carried out a test effectively
+25372,25372,What is a good test coverage percentage
+25373,25373,What is a non response error
+25374,25374,What is the difference between linear extrapolation and linear interpolation
+25375,25375,Why is extrapolation bad
+25376,25376,Why is extrapolation less reliable than interpolation
+25377,25377,What is extrapolation and why is this dangerous
+25378,25378,What happens on extrapolation
+25379,25379,How do you interpret F statistic in regression
+25380,25380,Can an F score be negative
+25381,25381,How do you find probability permutation
+25382,25382,How do you do permutations
+25383,25383,What are combinations in probability
+25384,25384,How do you find the marginal frequency distribution
+25385,25385,What is the marginal frequency
+25386,25386,What is marginal distribution in stats
+25387,25387,How do you calculate joint frequency
+25388,25388,How do you find the marginal frequency
+25389,25389,What is the joint frequency
+25390,25390,What is CNN activation function
+25391,25391,Why we use geometric mean instead of arithmetic mean
+25392,25392,What do you know about jump processes
+25393,25393,Why do we use dense layer in CNN
+25394,25394,What is dense function
+25395,25395,What is the definition of CNN
+25396,25396,How is probability used in the real world
+25397,25397,What is probability and its uses
+25398,25398,How many bootstrap samples are needed
+25399,25399,What is meant by data bootstrapping
+25400,25400,How do you read hazard rates
+25401,25401,What is a hazard plot
+25402,25402,What is the difference between sample and population
+25403,25403,What is the difference between population and sample variance
+25404,25404,What are the types of randomization
+25405,25405,What type of study is a randomized control trial
+25406,25406,How do you evaluate covariance
+25407,25407,How many solutions does the discriminant have
+25408,25408,What is the discriminant of the function
+25409,25409,What is the discriminant of 76
+25410,25410,What is the formula in getting the discriminant
+25411,25411,How are vectors used in real life
+25412,25412,What is the magnitude of
+25413,25413,How do you find the variance if you have the standard deviation
+25414,25414,How do you find the variance when given the mean
+25415,25415,How do you find the range variance and standard deviation
+25416,25416,How are the mean and variance calculated
+25417,25417,Is NLP part of deep learning
+25418,25418,Is Factor analysis qualitative
+25419,25419,What is meant by network coverage
+25420,25420,What does coverage mean
+25421,25421,What is a typical interval
+25422,25422,How do you tell the difference between t interval and z interval
+25423,25423,How do you know what distribution to use
+25424,25424,How do you determine if you have a normal distribution
+25425,25425,Is LDA a neural network
+25426,25426,What is the purpose of goodness of fit test
+25427,25427,How does classification work in data mining
+25428,25428,What is acceptance sampling in production and operation management
+25429,25429,What are the different types of sampling plans
+25430,25430,What is the difference between AQL and LTPD
+25431,25431,What is meant by sampling inspection
+25432,25432,What are the types of inspection
+25433,25433,What are the advantages of sampling inspection
+25434,25434,What is the purpose of using randomisation
+25435,25435,Why is randomization important in a study with an experimental design quizlet
+25436,25436,What is a hierarchical task analysis
+25437,25437,What are different task analysis methods
+25438,25438,What is an example of task analysis
+25439,25439,What is a reason to perform a task analysis
+25440,25440,What are the possible benefits in applying the hierarchical task analysis
+25441,25441,How do you test statistical significance between two groups
+25442,25442,How do you determine if difference is statistically significant
+25443,25443,What does relative frequency indicate
+25444,25444,What does a frequency distribution tell you
+25445,25445,How do you read a frequency distribution table
+25446,25446,Where can I learn deep learning
+25447,25447,Can I learn machine learning without data science
+25448,25448,How do you find the probability in statistics
+25449,25449,What is the probability of a single event
+25450,25450,What is the probability of an event
+25451,25451,How do you get weights in Tensorflow
+25452,25452,How do you save model weights in Tensorflow
+25453,25453,How do you open a TensorBoard
+25454,25454,How do you prove Markov chains
+25455,25455,What is a steady state probability
+25456,25456,What does steady state vector mean
+25457,25457,How is machine learning used in face recognition
+25458,25458,Is facial recognition supervised learning
+25459,25459,Is facial recognition deep learning
+25460,25460,What type of learning is face recognition supervised or unsupervised
+25461,25461,Is facial recognition unsupervised learning
+25462,25462,What is narrow AI and general AI
+25463,25463,What language is used in deep learning
+25464,25464,Which tool can be used to solve deep learning problems
+25465,25465,What is deep learning toolbox
+25466,25466,Which application you should solve by deep learning for best performance
+25467,25467,Which are common applications of deep learning in AI
+25468,25468,How do you find the mean and standard deviation of a probability distribution in Excel
+25469,25469,What is the mean of a normal curve
+25470,25470,What is normal probability curve and its characteristics
+25471,25471,What does the Wald statistic represent
+25472,25472,What does Wald chi2 mean
+25473,25473,What is Wald statistic in logistic regression
+25474,25474,What is F value
+25475,25475,How do you find F value in regression
+25476,25476,What is the F statistic in regression
+25477,25477,Can you find the derivative on a TI 84 Plus
+25478,25478,How do you get symbols on a TI 84
+25479,25479,What are the two key properties of a discrete probability distribution
+25480,25480,What are the two requirements for a discrete probability distribution select all that apply
+25481,25481,What are the two requirements for the probability distributions of discrete random variables
+25482,25482,What are the requirements for a discrete probability distribution
+25483,25483,What are the two requirements for a discrete probability
+25484,25484,What are the properties of discrete probability distribution
+25485,25485,What are the characteristics of discrete probability distribution
+25486,25486,What is single layer
+25487,25487,What is multi layer neural network
+25488,25488,What is a mixed method research
+25489,25489,What is an example of mixed method research
+25490,25490,Which type of problem can be solved by reinforcement learning
+25491,25491,Which feedback is used by reinforcement learning
+25492,25492,What is SD line
+25493,25493,When all the points fall on the regression line
+25494,25494,How do you find the line of best fit on a linear regression
+25495,25495,What point is always on the regression line
+25496,25496,How do you find the regression equation of a data point
+25497,25497,Which of the following is true about sampling error
+25498,25498,Can we estimate sampling error
+25499,25499,How do you find the standard error of the sampling distribution
+25500,25500,What is predictive decision making
+25501,25501,How do data analytics support decision making
+25502,25502,What are the applications of predictive analytics
+25503,25503,What is the goal of prescriptive analytics
+25504,25504,What type of data analytics is for decision support and decision automation
+25505,25505,Which type of audit analytics might be used to recommend action based on previously observed actions
+25506,25506,Why do we need clustering if we have classification in machine learning
+25507,25507,How is clustering used
+25508,25508,What is cluster classification
+25509,25509,What is the difference between clustering and association algorithms
+25510,25510,How do you find the quartiles of a data set
+25511,25511,How do you find quartiles and interquartile ranges
+25512,25512,What are Q1 and Q3 of the standard normal distribution
+25513,25513,What does the Iqr tell you
+25514,25514,What is centering a variable
+25515,25515,Why is it a good idea to Centre your variables when conducting a moderation analysis
+25516,25516,How can we solve the problem of multicollinearity
+25517,25517,Which statistics can help us detect Multicollinearity
+25518,25518,What is an IOA in ABA
+25519,25519,How is IOA calculated
+25520,25520,What is inter observer reliability in research
+25521,25521,How do you ensure inter observer reliability
+25522,25522,What is intra observer reliability
+25523,25523,What is interobserver error
+25524,25524,What is F critical value in Anova
+25525,25525,What is the critical value for F test in SPSS
+25526,25526,What are the two types of constraints
+25527,25527,How can constraints be used to help define the problem
+25528,25528,What does mean squared error tell you
+25529,25529,What is squared error function
+25530,25530,Why is the cost function squared
+25531,25531,What is sequencing learning
+25532,25532,Why is it important to develop an accurate sequence of events explain in your own words
+25533,25533,What is sequence in NLP
+25534,25534,What does scalar mean
+25535,25535,What is an example of a scalar value
+25536,25536,What is a vector and a scalar
+25537,25537,How do you know if a vector is a scalar multiple
+25538,25538,What happens if you multiply a vector by a scalar
+25539,25539,Is scalar multiplied by a vector a vector or a scalar
+25540,25540,Is scalar product a vector
+25541,25541,What is a log log regression model
+25542,25542,Why do we use log log graphs
+25543,25543,How do log plots work
+25544,25544,How do you interpret log regression coefficients
+25545,25545,Which is better SVM or random forest
+25546,25546,Is Iqr a measure of center or spread
+25547,25547,How do you measure selection bias
+25548,25548,What is canonical variate
+25549,25549,When would you use a correlation matrix
+25550,25550,What is the difference between correlation and regression
+25551,25551,Is multiple regression a correlational design
+25552,25552,Is multiple r The correlation coefficient
+25553,25553,What is the relationship between correlation and regression analysis
+25554,25554,What is an example of stereotyping
+25555,25555,Why is implicit bias training important
+25556,25556,What does unconscious bias training involve
+25557,25557,How does the IAT work
+25558,25558,What sample size is needed for at test
+25559,25559,What is the minimum sample size
+25560,25560,What is the minimum sample size for normal distribution
+25561,25561,Can Knn be used to solve classification problems
+25562,25562,Is K in Knn a parameter
+25563,25563,How does conjoint analysis work
+25564,25564,Why do we use conjoint analysis
+25565,25565,Is Markov chain stationary
+25566,25566,What does it mean to adjust for a variable
+25567,25567,Why do we use control variables
+25568,25568,What is an interaction variable in regression
+25569,25569,What is a statistical interaction example
+25570,25570,How do you explain interaction effect
+25571,25571,What is an example of interaction
+25572,25572,What is definition of interaction
+25573,25573,What is another word for interaction
+25574,25574,Why does CNN use Softmax
+25575,25575,What is an example of visual perception
+25576,25576,How does visual processing occur
+25577,25577,What are the two types of perception
+25578,25578,What are the two perception functions
+25579,25579,What is perception approach
+25580,25580,What are the various processing approaches in perception
+25581,25581,What is the use of Delta
+25582,25582,What does delta mean in statistics
+25583,25583,What is the delta formula in Excel
+25584,25584,What is Delta in statistics
+25585,25585,What is a delta value
+25586,25586,Which of the following is an order statistics
+25587,25587,How do you find negative matrices
+25588,25588,How do you know if a matrix is negative definite
+25589,25589,What is a matrix to the power of negative 1
+25590,25590,How do you optimize a logistic regression model
+25591,25591,How do you make a good regression model
+25592,25592,What is a normal variance
+25593,25593,What is the variance of a normal distribution with a mean of 0 and a standard deviation of 1
+25594,25594,What is variance standard deviation
+25595,25595,What is the variance in normal distribution
+25596,25596,What is a normal standard deviation
+25597,25597,What is the mean and variance for standard normal distribution *
+25598,25598,What is the variance of the mean
+25599,25599,What is the standard deviation of the distribution of sample means
+25600,25600,What is the variance of the probability distribution
+25601,25601,What is the variance of the distribution
+25602,25602,How do you find the variance of an item
+25603,25603,Is standard deviation a point estimate
+25604,25604,What type of data is standard deviation
+25605,25605,Is standard error an estimate
+25606,25606,What does the standard deviation show us
+25607,25607,What does standard deviation represent
+25608,25608,What does factorial represent
+25609,25609,What is ML performance
+25610,25610,Why is a random sample unbiased
+25611,25611,What makes a sampling method unbiased
+25612,25612,Can systematic sampling be biased
+25613,25613,In what ways can sampling be biased
+25614,25614,What is a disadvantage of systematic sampling
+25615,25615,What are the disadvantages of systematic sample selection
+25616,25616,What is systematic sampling error
+25617,25617,What are the tools and techniques strategic choice
+25618,25618,What are the tools used to conduct the analysis
+25619,25619,What does the simple moving average represent
+25620,25620,How do you find moving average trends
+25621,25621,How do you calculate the slope of a moving average
+25622,25622,What is a moving average trend line
+25623,25623,What causes Multicollinearity
+25624,25624,What is Multicollinearity and how can it affect multiple regression analysis
+25625,25625,Does Multicollinearity effects logistic regression
+25626,25626,How can VIF detect Multicollinearity
+25627,25627,What is stratified sampling method
+25628,25628,When stratified sampling is used
+25629,25629,What is reliable in statistics
+25630,25630,How do you determine reliability of data
+25631,25631,How do you determine the reliability of a sample
+25632,25632,What is reliability and How Is It Measured
+25633,25633,What is being measured in reliability test
+25634,25634,What is reliability test in statistics
+25635,25635,What statistic can we use to determine reliability of a measure
+25636,25636,What is alpha and beta in LDA
+25637,25637,What is LDA model
+25638,25638,Why vectors are used in machine learning
+25639,25639,What are the tools for data mining
+25640,25640,What technologies are used in data mining
+25641,25641,What are the data mining tools and techniques
+25642,25642,Which of the following is data mining tool
+25643,25643,Which data type is used to teach a machine learning ML algorithms
+25644,25644,How does K mode work
+25645,25645,How do you find the sample covariance matrix in R
+25646,25646,Why covariance matrix is used
+25647,25647,How do you derive covariance
+25648,25648,How do you find covariance given mean and standard deviation
+25649,25649,How does NumPy calculate covariance
+25650,25650,How do you find the covariance matrix in python
+25651,25651,What is covariance in NumPy
+25652,25652,How do you prove something is disjoint
+25653,25653,Are the sets A and B disjoint
+25654,25654,What is disjoint set with example
+25655,25655,What is the difference between mutually exclusive and disjoint
+25656,25656,How do you show two sets are disjoint
+25657,25657,What sentiment analysis is used for
+25658,25658,How do you calculate sentiment
+25659,25659,How do you measure sentiment analysis
+25660,25660,What is confusion matrix Sklearn
+25661,25661,What is a confusion matrix in python
+25662,25662,What does it mean to have a multimodal learning style
+25663,25663,What are modalities of learning
+25664,25664,Why is it important to learn your learning style
+25665,25665,What are student learning modalities
+25666,25666,What is non probability sampling design
+25667,25667,What are the different types of sampling techniques
+25668,25668,What are the different types of sampling strategies
+25669,25669,Where is sampling used
+25670,25670,When should systematic sampling be used
+25671,25671,What is the purpose of systematic sampling
+25672,25672,What is stratified sampling and when is most appropriately used
+25673,25673,When using the normal approximation to the binomial distribution What do we use for the mean
+25674,25674,How do you use normal approximation for a binomial distribution
+25675,25675,What is the mean of a normal distribution curve
+25676,25676,How can you spot the mean of a normal curve
+25677,25677,What is a good LTV to CAC ratio
+25678,25678,What is a good LTV CAC ratio for SaaS
+25679,25679,What does LTV CAC measure
+25680,25680,What is my LTV ratio
+25681,25681,What does Anova mean in regression
+25682,25682,Is Anova multiple regression
+25683,25683,What is the difference between t tests and Anova versus regression
+25684,25684,What does F statistic mean in regression
+25685,25685,How do you interpret F statistic in linear regression
+25686,25686,What is the F test of overall significance in regression analysis
+25687,25687,What is variance explained in regression
+25688,25688,How much of the variance is explained
+25689,25689,What is variance of error
+25690,25690,Is decision tree a linear model
+25691,25691,What is linear convolution
+25692,25692,What are the applications of linear convolution
+25693,25693,Where we can apply binary search algorithm
+25694,25694,What is binary search
+25695,25695,Why do we need binary search tree
+25696,25696,What is complexity of Rabin Karp algorithm in average case
+25697,25697,What is high variance
+25698,25698,How do you do univariate logistic regression in SPSS
+25699,25699,What is univariate regression analysis
+25700,25700,How do you do multivariate analysis in SPSS
+25701,25701,What is bias detection
+25702,25702,What are the factors to be considered in sampling
+25703,25703,What is inspection lot in SAP
+25704,25704,What is meant by acceptance sampling
+25705,25705,What is meant by probability distribution of a random variable
+25706,25706,What is the definition of distribution
+25707,25707,What is the definition of distribution in statistics
+25708,25708,What is the definition of distribution in geography
+25709,25709,What is the difference between distribution function and density function
+25710,25710,What is the density of a distribution
+25711,25711,What is the difference between population density and population distribution quizlet
+25712,25712,What is the difference between Z interval and T interval
+25713,25713,How does machine learning deal with Overfitting
+25714,25714,What is the best way to study statistics
+25715,25715,What do you learn in probability and statistics
+25716,25716,What is clustering in unsupervised learning
+25717,25717,How is GloVe different from Word2Vec
+25718,25718,What is a sparse matrix in C
+25719,25719,What is TF IDF Matrix
+25720,25720,What is entropy in simple words
+25721,25721,Is entropy a physical quantity
+25722,25722,What type of property is entropy
+25723,25723,Is entropy intrinsic property
+25724,25724,How does Hadoop work in real time
+25725,25725,Which component of Hadoop is for real time processing of stream data
+25726,25726,How do you find basic probability
+25727,25727,What do you mean by probability
+25728,25728,Why do we study probability theory
+25729,25729,How many layers does a neural network have
+25730,25730,What are the layers in neural network
+25731,25731,What is Perceptron model
+25732,25732,How does Perceptron update weight
+25733,25733,What is bias in Perceptron
+25734,25734,What is bias value
+25735,25735,What requirements are necessary for a normal probability
+25736,25736,How do you use a normal probability distribution table
+25737,25737,What is a normal probability table
+25738,25738,How does natural language processing work in AI
+25739,25739,How AI helps in natural language processing and robotics
+25740,25740,How does Confirmation bias affect our thinking
+25741,25741,What problems can confirmation bias cause
+25742,25742,Why biased information is unreliable
+25743,25743,How do you solve a chi square distribution
+25744,25744,What determines the shape of a chi square distribution
+25745,25745,How are the parameters updates during gradient descent process
+25746,25746,What is the best random sampling method
+25747,25747,Under what circumstances stratified random sampling design is considered appropriate
+25748,25748,What is the advantage and disadvantage of stratified sampling
+25749,25749,What is a disadvantage of stratified sampling
+25750,25750,What are the advantages and disadvantages of quota sampling
+25751,25751,What does a correlation analysis tell you
+25752,25752,How do you assess correlation
+25753,25753,What is a Contrapositive statement
+25754,25754,What does Contrapositive mean
+25755,25755,What is an example of an inverse statement
+25756,25756,How do you write an inverse statement
+25757,25757,What is converse inverse and contrapositive of a statement
+25758,25758,What is parametric and non parametric distribution
+25759,25759,What is the meaning of multivariate
+25760,25760,What is a multivariate design
+25761,25761,Why does CNN use ReLU
+25762,25762,Whats the opposite of aversion
+25763,25763,What is the synonym of aversion
+25764,25764,What is the opposite of being risk averse
+25765,25765,What is the difference between risk aversion and risk tolerance
+25766,25766,What is the opposite word for risk
+25767,25767,What is the synonym and antonym of risk
+25768,25768,What is the synonym of risk
+25769,25769,What does AI really mean
+25770,25770,How many neural networks are there
+25771,25771,How neural network is used in deep learning
+25772,25772,When a neural network is called Deep Neural Network
+25773,25773,What is neural network and deep learning
+25774,25774,How does the law of averages work
+25775,25775,What do you mean by logistic regression
+25776,25776,What can logistic regression answer
+25777,25777,How does the logistic regression work
+25778,25778,How is learning percentage calculated
+25779,25779,What is the rate of learning
+25780,25780,Why is linearity important in regression analysis
+25781,25781,What is linearity assumption in regression
+25782,25782,What assumptions are required for linear regression
+25783,25783,What is linearity in linear regression
+25784,25784,What is meant by linearity
+25785,25785,What is linearity in data analysis
+25786,25786,What is Adaline in neural network Mcq
+25787,25787,WHAT IS STM in neural network Mcq
+25788,25788,What is Taguchi method PDF
+25789,25789,What is the logic of Taguchi methods
+25790,25790,What is the significance of the variance
+25791,25791,What is the importance of variance and standard deviation
+25792,25792,What is the purpose of variation in statistics
+25793,25793,What is variance analysis and how is it used
+25794,25794,What does standard deviation and variance tell us
+25795,25795,Why is it important to measure the variance of a data set
+25796,25796,Why is the variance important
+25797,25797,Why do we need the variability measurement for describing a data set
+25798,25798,How is SSR calculated
+25799,25799,How do you get SSR from R Squared
+25800,25800,What is the formula for a least squares linear regression
+25801,25801,What is SSR in statistics
+25802,25802,How is SSR calculated in statistics
+25803,25803,What is SSR in Anova
+25804,25804,How do you interpret the residual sum of squares
+25805,25805,How do I do logistic regression in SPSS
+25806,25806,Where is logistic regression in SPSS
+25807,25807,What does the reliability coefficient tell us
+25808,25808,What is reliability data analysis
+25809,25809,What is reliability of data
+25810,25810,What does binary mean sexually
+25811,25811,What is an example of the gender binary
+25812,25812,What are the two binary genders
+25813,25813,What does it mean when data is noisy
+25814,25814,What is noisy data in machine learning
+25815,25815,What is noisy data which techniques are used to handle noisy data
+25816,25816,What is data cleansing in data mining
+25817,25817,What is maximum likelihood learning
+25818,25818,Why do we need data augmentation
+25819,25819,What is augmentation in Python
+25820,25820,What is a least squares regression model
+25821,25821,What is a least squares mean
+25822,25822,What do you mean by the term Least Square in least square regression
+25823,25823,What is proportionate random sampling
+25824,25824,What is non proportional sampling
+25825,25825,What is proportional sampling technique
+25826,25826,How do you write a proportionate stratified sample
+25827,25827,How do you do proportional sampling
+25828,25828,What is a proportional sample
+25829,25829,Will all random samples from a given population have the same mean
+25830,25830,Why do most of the sample means differ somewhat from the population mean what is this difference called
+25831,25831,When estimating the population mean the sample mean is always a better estimate than the sample median
+25832,25832,Why is the standard deviation of the distribution of sample means smaller than the standard deviation of the population from which it came
+25833,25833,Why is the standard error of the mean smaller than standard deviation
+25834,25834,What is the standard deviation of the distribution of means for samples of size
+25835,25835,How do you find the confidence interval
+25836,25836,What is the confidence interval in statistics
+25837,25837,How do you find Shannon entropy
+25838,25838,What is entropy theory
+25839,25839,What is information in information theory
+25840,25840,How many possible layers can be there in deep neural network
+25841,25841,How deep are deep neural networks
+25842,25842,What makes a deep learning network deep
+25843,25843,What is regression and its significance
+25844,25844,Is the regression line reliable
+25845,25845,What is the regression line called
+25846,25846,Does bagging reduce variance
+25847,25847,Does boosting increase variance
+25848,25848,How does bagging reduce variance
+25849,25849,Does boosting reduce variance
+25850,25850,What is conditional PDF
+25851,25851,What is the conditional probability rule of independent events
+25852,25852,What is R and r2 in statistics
+25853,25853,What does R and R Squared mean
+25854,25854,What is the difference between an unbiased sample and a biased sample
+25855,25855,What is biased sample mean
+25856,25856,What is false positive rate in data mining
+25857,25857,What is a relative frequency table used for
+25858,25858,What are examples of frequency
+25859,25859,What is a norm of vector
+25860,25860,How do you find the norm of a vector
+25861,25861,How do you find the beta distribution of a PDF
+25862,25862,What are the disadvantage and advantages of using multitasking
+25863,25863,What are the advantages and disadvantages of multitasking
+25864,25864,What are the negative effects of multitasking
+25865,25865,Is multitasking good or bad
+25866,25866,How do you say you are good at multitasking
+25867,25867,How well can you multitask
+25868,25868,Why is it important to multitask
+25869,25869,How do you successfully multitask
+25870,25870,What happens to the P value when the sample size decreases
+25871,25871,What affects p value
+25872,25872,What causes p value to decrease
+25873,25873,How is P value determined
+25874,25874,What is the relationship between sample size and statistical significance
+25875,25875,Are confidence intervals affected by sample size
+25876,25876,What are the uses of time series
+25877,25877,What are the key differences between rule based and learning based AI
+25878,25878,How can you improve the accuracy of a decision tree
+25879,25879,Which hash function is best
+25880,25880,What is hash function
+25881,25881,How many characters is a Hash
+25882,25882,What is the maximum size of the input for a hash function
+25883,25883,What are the rules to be followed for hashing
+25884,25884,What are the problems associated with hashing
+25885,25885,Is AES a hashing algorithm
+25886,25886,What is a hash algorithm encryption
+25887,25887,Is sha256 a hashing algorithm
+25888,25888,Which of the following is a hashing algorithm
+25889,25889,Is SHA512 better than SHA256
+25890,25890,What is experimenter bias and what is a strategy that experimenters can use to minimize this effect
+25891,25891,What is an example of experimental bias
+25892,25892,How can we minimize experimenter effects
+25893,25893,How does bias affect a study
+25894,25894,What happens when there is bias in an experiment
+25895,25895,What are the effects of bias
+25896,25896,How do you calculate Spearman's rank correlation coefficient
+25897,25897,What is rank order correlation
+25898,25898,Can Pearson's correlation coefficient be used on ranked data
+25899,25899,Which correlation coefficient is used to measure ranked variables
+25900,25900,What is the correlation coefficient for the data
+25901,25901,Can you use Excel to calculate the correlation coefficient
+25902,25902,How do you carry out correlation analysis in Excel
+25903,25903,What is category in machine learning
+25904,25904,What is the difference between expert system and artificial intelligence
+25905,25905,Is standard error the same as variance
+25906,25906,What is standard error equal to
+25907,25907,Can variance and standard deviation be equal
+25908,25908,How do you find variance from standard deviation
+25909,25909,Is variance or standard deviation bigger
+25910,25910,Is variance equal to standard error
+25911,25911,What is the relationship between standard error standard deviation and variance
+25912,25912,What is the difference between parametric and nonparametric hypothesis testing
+25913,25913,Is Chi square a nonparametric test
+25914,25914,Is t test parametric or nonparametric
+25915,25915,What is TensorFlow API
+25916,25916,What is epoch in neural network
+25917,25917,Is a neural network algorithm for classification
+25918,25918,What is Type 1 and Type 2 error statistics
+25919,25919,What does Type 1 and Type 2 error mean
+25920,25920,How is ML related to AI
+25921,25921,What is the role of machine learning in artificial intelligence
+25922,25922,Is ML a subset of AI
+25923,25923,What are the subsets of AI
+25924,25924,Which kind of learning is the subset of machine learning
+25925,25925,What are the basic stages in the application of cluster analysis
+25926,25926,What is the aim of a cluster analysis
+25927,25927,What is the decomposition method
+25928,25928,How do you use decomposition method
+25929,25929,What is meant by decomposition
+25930,25930,What does decomposition mean in computing
+25931,25931,What is random selection method
+25932,25932,What is difference between stratified and cluster sampling
+25933,25933,What are the two types of sampling methods Mcq
+25934,25934,What is a stochastic event
+25935,25935,Is Monte Carlo a stochastic model
+25936,25936,What is the difference between stochastic and deterministic events
+25937,25937,What is difference between deterministic and stochastic
+25938,25938,What is deterministic and stochastic system
+25939,25939,What is stochastic and non stochastic
+25940,25940,What makes a Markov chain irreducible
+25941,25941,How can you tell if a Markov chain is reversible
+25942,25942,How can you tell if a Markov chain is aperiodic
+25943,25943,What is an irreducible Markov chain
+25944,25944,What is a reversible Markov chain
+25945,25945,How do you find the limiting distribution of a Markov chain
+25946,25946,How do you do intervals on a frequency table
+25947,25947,Does a frequency table use intervals
+25948,25948,How do you find intervals
+25949,25949,Is Average pooling linear
+25950,25950,What are non linear relationships
+25951,25951,How can you tell if a relationship is linear or nonlinear
+25952,25952,What does non linear correlation mean
+25953,25953,What do you mean by non linear
+25954,25954,What is a nonlinear equation example
+25955,25955,What is a non linear text
+25956,25956,What is the meaning of non linear
+25957,25957,What are linear and non linear texts
+25958,25958,What do you mean by frequency
+25959,25959,What is frequency and its types
+25960,25960,How do you determine frequency
+25961,25961,What is meant by sharding
+25962,25962,What is range and interquartile range
+25963,25963,How do you find the median and quartile
+25964,25964,What is Macrostate statistical mechanics
+25965,25965,What do you mean by statistical mechanics
+25966,25966,Why do we study statistical mechanics
+25967,25967,What is mean by statistical mechanics
+25968,25968,What is statistical mechanics used for
+25969,25969,Why are statistical mechanics important
+25970,25970,How do you use auto ML
+25971,25971,Why do we center variables
+25972,25972,How do you center the mean of data
+25973,25973,What is centering and scaling data
+25974,25974,How do you center a variable
+25975,25975,Is MSE the same as variance
+25976,25976,What does standard error of the estimate mean
+25977,25977,Is standard deviation a measure of variance
+25978,25978,What does the standard error measure
+25979,25979,Is standard error a measure of variability
+25980,25980,How do you determine the number of hidden nodes
+25981,25981,What happens in the hidden layer of a neural network
+25982,25982,How many hidden layers and nodes are there
+25983,25983,What is the margin in SVM
+25984,25984,What is difference between mathematics and statistics
+25985,25985,What is Statistics math with examples
+25986,25986,What is the meaning of statistics in mathematics
+25987,25987,What does it mean for a matrix to be similar
+25988,25988,Do similar matrices have the same determinant
+25989,25989,What influences effect size
+25990,25990,How do you increase effect size
+25991,25991,Is effect size affected by sample size
+25992,25992,Is R an effect size
+25993,25993,What determines effect size
+25994,25994,What is effect size example
+25995,25995,Which of the following statement is true about outliers in linear regression
+25996,25996,What are outliers in linear regression
+25997,25997,What is false reasoning
+25998,25998,What is a false analogy example
+25999,25999,How do you avoid false cause fallacy
+26000,26000,What is the fallacy of false dilemma
+26001,26001,What is an example of a false dilemma
+26002,26002,What is the sampling distribution of the test statistic
+26003,26003,What distribution is based on the null hypothesis
+26004,26004,Where is the null distribution centered
+26005,26005,Which of these distributions is used for a testing hypothesis of small samples
+26006,26006,How do you find the mode of a continuous series
+26007,26007,Can mode be applied to continuous data
+26008,26008,What is the mode of data
+26009,26009,Why is data normally distributed
+26010,26010,Is the data normally distributed test
+26011,26011,How do you use LSI
+26012,26012,How do you calculate LSI
+26013,26013,What is the area of the rejection region
+26014,26014,Why is probability sampling used
+26015,26015,What is the logic of probability sampling
+26016,26016,Should you always choose for probability sampling
+26017,26017,What can you find from a histogram
+26018,26018,Does McCulloch Pitts model have ability of learning *
+26019,26019,What are the drawbacks of McCulloch Pitts neural model
+26020,26020,Why is McCulloch Pitts neuron widely used in logic functions
+26021,26021,What are general limitations of backpropagation rule
+26022,26022,What are the general task that are performed with backpropagation algorithm
+26023,26023,What is backpropagation rule
+26024,26024,Is it necessary to learn machine learning
+26025,26025,What is relative frequency and when might this be used
+26026,26026,What is the difference between percentage and relative frequency
+26027,26027,How do you find the percent relative frequency
+26028,26028,How do you work out the relative frequency
+26029,26029,What is relative frequency distribution table
+26030,26030,What is an efficient sort algorithm
+26031,26031,What is the algorithm of selection sort
+26032,26032,Which is more efficient selection sort or insertion sort
+26033,26033,How do you calculate complexity of selection sort algorithm
+26034,26034,What is queue in algorithm
+26035,26035,What are the basic methods to perform clustering How are clusters evaluated
+26036,26036,How do you know if cluster is good
+26037,26037,How do you validate a clustering model
+26038,26038,How do you improve clustering accuracy
+26039,26039,What are some common considerations and requirements for cluster analysis
+26040,26040,What are the challenges of K means clustering
+26041,26041,Which of the following are considered to be the weakness of K means clustering
+26042,26042,How do you count clusters in Dendrogram
+26043,26043,How do you handle categorical data in regression
+26044,26044,What is imputation in machine learning
+26045,26045,What is fit in regression
+26046,26046,What is a linear fit regression line
+26047,26047,What is goodness of fit in regression
+26048,26048,What is the difference between line of best fit and linear regression
+26049,26049,Why is the regression line known as line of best fit
+26050,26050,How do you find the linear best fit model
+26051,26051,Why do we use parametric tests
+26052,26052,What is the rationale of using nonparametric methods
+26053,26053,Why do you want to do a parametric test over a nonparametric test
+26054,26054,What is autocorrelation and heteroskedasticity
+26055,26055,What does cross correlation mean
+26056,26056,How do you find the central moment in statistics
+26057,26057,What do you mean by moments in statistics
+26058,26058,What is Twitter sentiment analysis
+26059,26059,How do I download twitter data for sentiment analysis
+26060,26060,Why do we use sentiment analysis
+26061,26061,What are the types of sentiment analysis
+26062,26062,Where is KNN algorithm used
+26063,26063,What type of number k is in Knn
+26064,26064,Is cluster sampling biased or unbiased
+26065,26065,Which sampling method is biased
+26066,26066,What percentage of variation in Y is explained by X
+26067,26067,What percentage of the variation can be explained
+26068,26068,What proportion of the variation in Y can be explained by the variation in the values of x r²
+26069,26069,What is percentage of variation in regression
+26070,26070,What is explained variation in statistics
+26071,26071,How much of the variation is explained by the regression
+26072,26072,What does variance percentage mean
+26073,26073,Is variance expressed as a percentage
+26074,26074,What is the variance between two numbers
+26075,26075,What is the output of regression
+26076,26076,What is a regression algorithm
+26077,26077,How do you interpret regression outputs
+26078,26078,What is the output of the regression
+26079,26079,What is outcome variable in regression
+26080,26080,What is the benefit of linear regression
+26081,26081,Is dependent and independent variables always present in a study
+26082,26082,Can a study have no independent variable
+26083,26083,What are the variables in a descriptive study
+26084,26084,What are the independent and dependent variables in qualitative research
+26085,26085,Are there variables in a qualitative study
+26086,26086,What is interpolation explain
+26087,26087,What is the formula for extrapolation
+26088,26088,What is the method of interpolation
+26089,26089,How do you know if measurements are precise
+26090,26090,What is the formula for calculating accuracy
+26091,26091,Are the random variables dependent or independent
+26092,26092,What are the conditions for constructing a confidence interval
+26093,26093,How do you find the confidence interval for a population mean
+26094,26094,How do you construct a confidence interval
+26095,26095,How can you improve the accuracy of the classification method
+26096,26096,How is accuracy calculated
+26097,26097,What is a hypothesis and null hypothesis
+26098,26098,How do you explain null hypothesis
+26099,26099,What is the null hypothesis and what is one of its important purposes How does it differ from the research hypothesis
+26100,26100,What are the two types of supervised learning techniques
+26101,26101,What is the role of knowledge in reasoning
+26102,26102,What is a knowledge base How is knowledge represented stored and accessed
+26103,26103,What is the form of knowledge representation in AI
+26104,26104,What is knowledge representation technique
+26105,26105,What symbol represents the test statistic for the Wilcoxon signed rank test
+26106,26106,Is the P value the type 1 error
+26107,26107,Is P value same as standard error
+26108,26108,Why there is an inverse relationship between committing a Type I error and committing a Type II error
+26109,26109,How can Type 1 and Type 2 errors be minimized
+26110,26110,How does power affect Type 2 error
+26111,26111,What is Type II error in statistics
+26112,26112,What does statistical power tell us
+26113,26113,What are the types of machine learning problems
+26114,26114,What are the kinds of problem which can be solved using machine learning
+26115,26115,What is planning agent in AI
+26116,26116,How many types of agents are there
+26117,26117,Is gradient boosting machine learning
+26118,26118,What does the word quantized mean
+26119,26119,What is the conditional probability of dependent events
+26120,26120,What is sensitivity techniques
+26121,26121,What are neural networks in artificial intelligence
+26122,26122,What applications should neural networks be used for
+26123,26123,What is artificial neural network used for
+26124,26124,What does uniform distribution look like
+26125,26125,How do you estimate the sample distribution
+26126,26126,What does output mean
+26127,26127,What does output level mean
+26128,26128,What is target variable in data mining
+26129,26129,What are data mining classes
+26130,26130,What is Target column
+26131,26131,What is the value of lambda 1
+26132,26132,What does Lambda mean in cars
+26133,26133,What is the lambda value
+26134,26134,What are normal O2 sensor readings
+26135,26135,What is the normal curve and why do we call it normal
+26136,26136,How do box plots compare GCSE
+26137,26137,What is the spread of a box plot
+26138,26138,How do you describe the distribution of a box plot
+26139,26139,Which describes the spread of the data in the two box plots
+26140,26140,What does the width of a box plot mean
+26141,26141,How do you tell if data is skewed left or right box plot
+26142,26142,How can you tell from a Boxplot if the distribution is skewed right quizlet
+26143,26143,When a distribution is skewed to the right
+26144,26144,What does a left skewed box plot mean
+26145,26145,What does skewness of a box plot show
+26146,26146,What does it mean if a Boxplot is positively skewed
+26147,26147,When data is skewed to the left the mean is
+26148,26148,Why is the efficient frontier curve
+26149,26149,How do you construct an efficient frontier
+26150,26150,How do you find the area to the right of the Z score
+26151,26151,How do you find the area to the left of Z
+26152,26152,What is the area to the right of Z 0
+26153,26153,How can you use technology to find the probability of AZ score
+26154,26154,How do you find the area between z scores
+26155,26155,How do you find the Z score using technology
+26156,26156,How do you find the z score of a data point
+26157,26157,What is the purpose of descriptive statistics quizlet
+26158,26158,What is the purpose of descriptive and inferential statistics
+26159,26159,What is the primary purpose of statistics
+26160,26160,What is a AI
+26161,26161,What are the types of artificial intelligence explain
+26162,26162,How do neural networks use unsupervised learning
+26163,26163,What is an outlier in statistics
+26164,26164,What are the assumptions for a chi square test
+26165,26165,What is a double blind study and why is it useful
+26166,26166,How can I improve my statistical analysis skills
+26167,26167,How can you improve statistics
+26168,26168,What are statistical analysis techniques
+26169,26169,What is the importance of statistical analysis
+26170,26170,What is the common goal of statistical Modelling
+26171,26171,What is threshold in Canny edge
+26172,26172,When would you use a paired sample test
+26173,26173,What is an example of paired data
+26174,26174,How do you know if data is paired or unpaired
+26175,26175,What does paired data mean
+26176,26176,What is the difference between paired and independent samples
+26177,26177,What is the difference between paired and unpaired
+26178,26178,How do you find the paired difference
+26179,26179,What are the types of image processing
+26180,26180,What is image processing application
+26181,26181,Which of the following is the recommended way to initialize K means
+26182,26182,What are the issues with random initialization of Centroids in K means algorithm and how do you overcome it
+26183,26183,How do you select initial Centroids K means
+26184,26184,What language is spoken in TensorFlow
+26185,26185,How does sample size affect type 1 error
+26186,26186,What is SEM analysis in statistics
+26187,26187,How do you do a path analysis
+26188,26188,How do you find the critical value of a standard normal distribution table
+26189,26189,How do you calculate ZC
+26190,26190,What is the critical value in statistics
+26191,26191,How do you find the critical value on a TI 84
+26192,26192,How do you find the critical value of z score
+26193,26193,How do you find Z in confidence interval
+26194,26194,How do you find the critical value of ZA 2
+26195,26195,What is image filter
+26196,26196,What is the filter for
+26197,26197,What is the difference between the mean and the median
+26198,26198,How does CNN improve validation accuracy
+26199,26199,What is validation loss in CNN
+26200,26200,What does the paired t test tell you
+26201,26201,What does a paired t test measure
+26202,26202,How do you interpret paired t test results
+26203,26203,What is the P value in paired t test
+26204,26204,What is paired difference mean
+26205,26205,What is batch size in neural network
+26206,26206,What is difference between diffusion and effusion
+26207,26207,What is a diffusion
+26208,26208,What is an example of gas effusion
+26209,26209,How do you solve effusion problems
+26210,26210,Who proposed Graham's law of diffusion
+26211,26211,What is the Graham's law of diffusion
+26212,26212,Who discovered diffusion
+26213,26213,What is the rate of diffusion
+26214,26214,What is the difference between a geometric sequence and an exponential function
+26215,26215,How do you know if a sequence is exponential
+26216,26216,How do you create a singularity image
+26217,26217,What type of data does the Gaussian distribution model
+26218,26218,Is the product of two Gaussian random variables also a Gaussian
+26219,26219,What is random error how it can be eliminated
+26220,26220,What is a density function in statistics
+26221,26221,How do you find C in probability density function
+26222,26222,What is the difference between population and sampling frame
+26223,26223,What is the difference between target population and sample population
+26224,26224,How do you choose alpha significance level
+26225,26225,When should you choose the significance level of a hypothesis test
+26226,26226,How do you determine statistically significant difference
+26227,26227,How do you determine if a sample is statistically significant
+26228,26228,What is the disadvantage of the linear model of communication
+26229,26229,Which of the following is a problem with the linear model of communication
+26230,26230,What is the disadvantage of linear
+26231,26231,What is the advantages of linear communication model
+26232,26232,How do you report median and interquartile range in text
+26233,26233,Do you include median in Iqr
+26234,26234,Which is better range or interquartile range
+26235,26235,Why is Iqr better than standard deviation
+26236,26236,Why is Iqr preferred over range
+26237,26237,Is the Iqr half the range
+26238,26238,What is the function of interquartile range
+26239,26239,Do Neural networks learn
+26240,26240,Is deep learning strong AI
+26241,26241,How does deep learning AI work
+26242,26242,What is Gibbs algorithm
+26243,26243,What is gradient effect
+26244,26244,How do you choose a gradient color
+26245,26245,What is a gradient color stop
+26246,26246,What is meant by gradient
+26247,26247,How is gradient calculated
+26248,26248,What is a gradient of 0
+26249,26249,Is slope the same as gradient
+26250,26250,What does the gradient mean
+26251,26251,How do you find the gradient of a slope
+26252,26252,What do you mean by measures of location
+26253,26253,What is measure of location and dispersion
+26254,26254,How do you determine the best measure of central tendency
+26255,26255,Which measure of central tendency is the most stable and why
+26256,26256,Which average is the best and why
+26257,26257,What instructional strategies will support student learning through multiple modalities
+26258,26258,How does a visual learner learn best
+26259,26259,Is feature selection important for linear models
+26260,26260,What are the benefits of performing feature selection before modeling your data
+26261,26261,What is the variable in a histogram
+26262,26262,How do you find the mean from a box plot
+26263,26263,What can you not tell from a box plot
+26264,26264,Can you tell standard deviation from a box plot
+26265,26265,How do you track an object
+26266,26266,What is the difference between object detection and object tracking
+26267,26267,What is tracking by detection
+26268,26268,What are the basic components of an object tracking system
+26269,26269,What is a tracking
+26270,26270,What is the difference between detection and tracking
+26271,26271,What is object recognition in computer vision
+26272,26272,How do you find the intersection of two events
+26273,26273,How do you find the probability of intersection of events
+26274,26274,What does the intersection of two or more events mean
+26275,26275,What does intersection mean in probability
+26276,26276,How do you know what distribution to use in statistics
+26277,26277,What are the advantages of non parametric test
+26278,26278,What industry is AI in
+26279,26279,Where is artificial intelligence mostly used
+26280,26280,Is AI a subset of data science
+26281,26281,Should I learn data science or AI
+26282,26282,What is AI ml and data science
+26283,26283,What are the steps in hypothesis testing in statistics
+26284,26284,What type of statistics is hypothesis testing
+26285,26285,Is hypothesis testing descriptive statistics
+26286,26286,How do you calculate optimal learning rate
+26287,26287,What is the optimal learning rate
+26288,26288,How do you choose learning rate gradient descent
+26289,26289,What is signal in statistics
+26290,26290,What is a good split half reliability
+26291,26291,Does Adam change learning rate
+26292,26292,What should my learning rate be
+26293,26293,How do you remove selection bias
+26294,26294,What eliminates the risk of selection effects
+26295,26295,How do you control selection bias
+26296,26296,What is statistical decision
+26297,26297,What are the elements of decision theory
+26298,26298,What is the standard deviation of a geometric distribution
+26299,26299,What are the parameters of a distribution
+26300,26300,What are the parameters of the probability distribution make example
+26301,26301,What is parameter in statistics and probability
+26302,26302,How do you test for normality of residuals
+26303,26303,How do you test for normality assumption
+26304,26304,Which statistical methods require the residuals normally distributed
+26305,26305,How do you check if data is normally distributed Excel
+26306,26306,Which Boolean function can be represented by a single Perceptron
+26307,26307,How would you represent Boolean functions with the help neural network
+26308,26308,Why is sample size important in experimental design Choose the one best answer
+26309,26309,What happens when we increase the sample size
+26310,26310,What do you mean by data preprocessing
+26311,26311,What do u mean by data processing
+26312,26312,What is data processing explain with diagram
+26313,26313,What is data processing Why is it needed
+26314,26314,What is the meaning of optimization
+26315,26315,How does the matrix portray reality
+26316,26316,Is the matrix based on reality
+26317,26317,What is reality matrix quote
+26318,26318,What Anova to use
+26319,26319,Why would you use Anova when you could just run many sets of t tests think about practical considerations as well as statistical considerations
+26320,26320,How do you analyze multivariate data
+26321,26321,What is the beta in linear regression
+26322,26322,What does a beta coefficient tell you
+26323,26323,What does negative beta mean in regression
+26324,26324,What does a beta of 0.7 mean
+26325,26325,What does a beta of 0.2 mean
+26326,26326,What are the qualities of a good estimator
+26327,26327,What is the difference between deterministic and stochastic models
+26328,26328,What is stochastic simulation model
+26329,26329,What is meant by stochastic model
+26330,26330,What is the meaning of stochastic model
+26331,26331,Why probability sampling is generally preferred
+26332,26332,What is sample and sampling design
+26333,26333,What should be the value of k in Knn
+26334,26334,How do you find the best K value
+26335,26335,What is the role of the Hyperparameter K in Knn
+26336,26336,When Should non parametric statistical method be used
+26337,26337,In what area of research the nonparametric tests are more useful than parametric tests
+26338,26338,What is the purpose of a simple linear regression analysis
+26339,26339,What is the difference between sampling frame and population
+26340,26340,What is the difference between sample and target population
+26341,26341,What is a secondary independent variable
+26342,26342,What are the properties of a binomial distribution
+26343,26343,What are the properties of the normal distribution
+26344,26344,Is binomial distribution continuous
+26345,26345,Are Bernoulli random variables independent
+26346,26346,How do you calculate the population mean
+26347,26347,What does a high covariance mean
+26348,26348,What is the difference between covariance and correlation coefficient
+26349,26349,What is covariance coefficient
+26350,26350,Is the dependent variable The outcome variable
+26351,26351,Is the response variable The outcome
+26352,26352,How do you measure similarity between two images
+26353,26353,What does Word_tokenize () function in NLTK do
+26354,26354,Why do we Tokenize in NLP
+26355,26355,How do you Tokenize in NLTK
+26356,26356,What is NLTK Punkt
+26357,26357,What does NLTK text do
+26358,26358,Why is the median better than the mean
+26359,26359,Why is the median a better measure of central tendency than the mean
+26360,26360,Why would you use median over mean
+26361,26361,Why use median income instead of average
+26362,26362,Why is median better than mean for skewed data
+26363,26363,Is Median better for skewed data
+26364,26364,Why is the median the best measure of central tendency for a skewed distribution
+26365,26365,Is the median affected by skewness
+26366,26366,Why is median better than mean and mode
+26367,26367,What does the difference between mean and median suggest
+26368,26368,Why use mean instead of average
+26369,26369,What is the decision boundary in classification
+26370,26370,How do you find the decision boundary of a logistic regression
+26371,26371,What is the correlation of a variable with itself
+26372,26372,What does a correlation of 0.25 mean
+26373,26373,What happens when two variables are correlated
+26374,26374,What does it mean when data is correlated
+26375,26375,What is meant when two factors are correlated
+26376,26376,Why Clustering is important in data mining
+26377,26377,Is the distribution approximately normal
+26378,26378,How do you deal with unbalanced datasets
+26379,26379,What is covariate variable in research
+26380,26380,Are covariates control variables
+26381,26381,What does it mean to adjust for covariates
+26382,26382,What does controlling for variable mean
+26383,26383,How do you choose a covariate
+26384,26384,What are covariates in regression
+26385,26385,What is stratified block randomisation
+26386,26386,What does it mean to stratify results
+26387,26387,What does t test tell you
+26388,26388,How do you find the t statistic
+26389,26389,Is P value a statistic
+26390,26390,How do you find the value of the standardized test statistic
+26391,26391,Is the Z value the test statistic
+26392,26392,What are the advantages of PI controller
+26393,26393,What are the drawbacks of P controller
+26394,26394,Where do we use z score
+26395,26395,What is information theory used for
+26396,26396,What is information in information theory and coding
+26397,26397,Who is the founder of information theory
+26398,26398,What does it mean if a matrix is not invertible
+26399,26399,What does it mean to be Nonsingular
+26400,26400,How do you check if matrix is nonsingular
+26401,26401,What does RMSE measure
+26402,26402,How do you find standard error of estimate
+26403,26403,What is Computer Vision subject
+26404,26404,What is the best neural network
+26405,26405,What is L1 and L2 normalization
+26406,26406,How do you write a statistics project
+26407,26407,What do you mean by statistics
+26408,26408,What is a statistic explain with a valid example
+26409,26409,What does statistic mean in statistics
+26410,26410,How do you find a statistic
+26411,26411,Can artificial intelligence be emotionally intelligent
+26412,26412,What is the probability mass function
+26413,26413,What is Poisson distribution function
+26414,26414,What is PMF PDF and CDF
+26415,26415,What is the permutation formula
+26416,26416,How do you find the p value for a right tailed test
+26417,26417,What is the definition of permutation
+26418,26418,How do you handle imbalanced text data
+26419,26419,Does smote work on text data
+26420,26420,Why do we balance data
+26421,26421,How many neurons does CNN have
+26422,26422,How does a median filter work
+26423,26423,What should my low pass filter be set to
+26424,26424,What is the cutoff frequency of a low pass filter
+26425,26425,What does it mean to organize yourself
+26426,26426,Which one of the functions always maps the values between 0 and 1 Tanh sigmoid logit ReLU
+26427,26427,What is the range of the output values for a sigmoid function
+26428,26428,Is Dqn on policy or off policy
+26429,26429,How do you find sample variance and population variance
+26430,26430,How do you find the variance of a sample data
+26431,26431,What does the sample variance tell us
+26432,26432,What does variance say about data
+26433,26433,How do you find the sample mean and sample variance
+26434,26434,What are the characteristics of a linear model
+26435,26435,What are the three parts of the linear model of communication
+26436,26436,What are the example of linear model of communication
+26437,26437,What are the characteristics of a linear model Brainly
+26438,26438,What are the characteristics of a linear model of communication select one
+26439,26439,What is the example of linear model
+26440,26440,How is the regression coefficient calculated
+26441,26441,What do regression coefficients mean
+26442,26442,How do you interpret a coefficient
+26443,26443,How do you tell if a word problem is linear or exponential
+26444,26444,What does an exponential regression look like
+26445,26445,What do A and B represent in an exponential regression
+26446,26446,What is an exponential function simple definition
+26447,26447,What's the meaning of interpolation
+26448,26448,What do you mean by interpolation method
+26449,26449,What is linear interpolation method
+26450,26450,Is binomial discrete or continuous
+26451,26451,Is it appropriate to use a normal approximation to the binomial distribution
+26452,26452,What are the issues in knowledge representation in AI
+26453,26453,Why are representations so important in artificial intelligence
+26454,26454,What is a stationary random process
+26455,26455,What is the main advantage of the standardized mean difference SMD over the mean difference MD
+26456,26456,What is meaning of standardized
+26457,26457,What does a standardized test mean
+26458,26458,What is SMD in statistics
+26459,26459,How do you calculate effect size in a study
+26460,26460,Which algorithm is used for state space search problems
+26461,26461,Which method is used for state space search
+26462,26462,What is state space representation of problem
+26463,26463,What is state space in AI Mcq
+26464,26464,What is state space representation of a problem
+26465,26465,What method is used for state space search problems
+26466,26466,What is problem space How problem can be defined as state space search
+26467,26467,What are the different types of data distribution
+26468,26468,What Makes a probability distribution
+26469,26469,How do you do probability distributions
+26470,26470,What is the mean of the probability distribution
+26471,26471,Which matrix can be used on a regression problem
+26472,26472,Which of the following metrics can be used for evaluating regression models
+26473,26473,What is mean by regression analysis
+26474,26474,What are the uses of regression analysis
+26475,26475,How can Fourier transform be developed from Fourier series
+26476,26476,How does Fourier series work
+26477,26477,What is the relation between z transform and fourier transform
+26478,26478,What is Z transform used for
+26479,26479,How do you calculate average quickly
+26480,26480,What's the meaning of average
+26481,26481,What is another word for average
+26482,26482,Does data analytics require machine learning
+26483,26483,Is machine learning part of analytics
+26484,26484,What is AI in Analytics
+26485,26485,Is Data Analytics part of machine learning
+26486,26486,What is curse of dimensionality in data mining
+26487,26487,What does a multiple linear regression analysis examine
+26488,26488,How do you write a multiple linear regression
+26489,26489,How do you find the median when given the mean
+26490,26490,Does N Mean Median
+26491,26491,What is non Randomised control trial
+26492,26492,What measures the relationship between two variables
+26493,26493,What can be used to study the relationship between two variables
+26494,26494,Why is ex its own derivative
+26495,26495,What is the differentiation of log ex
+26496,26496,Where do we use chi square test
+26497,26497,What is Chi Square t test and Anova
+26498,26498,What is output device and examples
+26499,26499,What is output give example
+26500,26500,What is output process
+26501,26501,What is used in backward chaining algorithm
+26502,26502,Which system uses forward reasoning
+26503,26503,What is a complementary probability in math
+26504,26504,What is the purpose of random assignment in an experiment to select a sample that is representative of the population to create similar treatment groups to eliminate the effects of the explanatory variable to control voluntary response bias
+26505,26505,What is the purpose of random assignment in an experiment chegg
+26506,26506,Why is the random assignment of individuals to experimental and control groups important
+26507,26507,How do you tell the difference between independent and dependent variables
+26508,26508,How do you interpret a main effect
+26509,26509,What does main effect mean in Anova
+26510,26510,What is the relationship between main effects and interactions quizlet
+26511,26511,Is the independent variable measured
+26512,26512,Is the independent variable manipulated
+26513,26513,What variables are measured
+26514,26514,What type of data is the independent variable
+26515,26515,Is there an independent variable in qualitative research
+26516,26516,What are the conditions of an independent variable
+26517,26517,How is an independent variable measured
+26518,26518,Can independent variable be measured
+26519,26519,What type of data can be measured
+26520,26520,Is Knn sensitive to outliers
+26521,26521,Does Multicollinearity affect Knn
+26522,26522,How do you find the joint probability of a mass function
+26523,26523,How do you find the joint probability of a dependent event
+26524,26524,Are joint probabilities independent
+26525,26525,Why neural network is important in AI
+26526,26526,How many layers do neurons have
+26527,26527,What is the output of convolutional neural network
+26528,26528,What is the output of convolution neural network
+26529,26529,How do you find the significance level in a chi square test
+26530,26530,What is the significance of chi square test
+26531,26531,What is the chi square critical value at a 0.05 level of significance
+26532,26532,How do you use a 0.05 significance level
+26533,26533,How do you tell if chi squared is statistically significant
+26534,26534,Is Linear Algebra algebra
+26535,26535,What are the limitations of statistics
+26536,26536,What is the meaning of statistics class 11
+26537,26537,What are the importance of statistics
+26538,26538,What are the main limitations of statistics
+26539,26539,What is statistics and its limitations
+26540,26540,What are the challenges of data analysis
+26541,26541,What are the advantages of data analysis
+26542,26542,How has artificial intelligence impact the world
+26543,26543,How is AI used in today's world
+26544,26544,How will Ai affect the world
+26545,26545,What is a B C testing
+26546,26546,What type of measurement is heart rate
+26547,26547,Is heart rate an interval or ratio
+26548,26548,Is the independent variable continuous
+26549,26549,What type of variable is the independent variable
+26550,26550,Is the confidence interval affected by the fact that the data appear to be from a population that is not normally distributed
+26551,26551,Are results between two confidence intervals very different
+26552,26552,How do you find the degrees of freedom for a confidence interval
+26553,26553,What is multi regression
+26554,26554,What does the area under the curve represent
+26555,26555,What does the area represent in terms of probability
+26556,26556,What is a probability distribution curve
+26557,26557,How are conditional distributions calculated
+26558,26558,What is support vector clustering
+26559,26559,What is the best way to compare K means clustering and SVM classification
+26560,26560,What is independent sample t test used for
+26561,26561,What assumptions are required for the Kruskal Wallis test
+26562,26562,What happens if data is skewed
+26563,26563,Where is the mean in a skewed distribution
+26564,26564,What is the importance of skewness
+26565,26565,What does skewness measure
+26566,26566,What does a skewed curve tell you about a dataset
+26567,26567,What are the basic steps for K means clustering
+26568,26568,How do you set K in K means
+26569,26569,Is logistic regression non linear
+26570,26570,Is scaling required for logistic regression
+26571,26571,Should you normalize data before regression
+26572,26572,What is normalization in logistic regression
+26573,26573,Which is better for image classification supervised or unsupervised classification
+26574,26574,Why is decision analysis used
+26575,26575,How do you write a decision analysis
+26576,26576,Where is data mining used
+26577,26577,What is data mining and its applications
+26578,26578,Why is data mining needed
+26579,26579,What data is used in data mining
+26580,26580,What are different data mining methodology
+26581,26581,Is a sample mean biased or unbiased estimator
+26582,26582,Is the sample mean unbiased
+26583,26583,What are the disadvantages of standard deviation
+26584,26584,Why is lower standard deviation better
+26585,26585,What is the difference between independent and dependent events
+26586,26586,How does random forest do regression
+26587,26587,What is non standard measurement
+26588,26588,How do you find standard units
+26589,26589,How do you create a probability distribution of data
+26590,26590,What forms a probability distribution
+26591,26591,Is convolutional neural network deep learning
+26592,26592,Is CNN part of deep learning
+26593,26593,How do convolutional layers work in deep learning neural networks
+26594,26594,Whats the difference between a bandit and a crook
+26595,26595,Whats the meaning of bandit
+26596,26596,What is covariance matrix in PCA
+26597,26597,What is a covariate matrix
+26598,26598,How do you find the covariance matrix
+26599,26599,What is inter observer reliability
+26600,26600,What is Inter method reliability
+26601,26601,How do you calculate interrater reliability
+26602,26602,How do you calculate Cohen's kappa in SPSS
+26603,26603,How is Intercoder reliability measured
+26604,26604,How do you calculate inter rater reliability
+26605,26605,What kind of variable is best for categorical data
+26606,26606,How do you plot continuous and categorical variables
+26607,26607,Should I standardize categorical variables
+26608,26608,What is Bayesian framework
+26609,26609,What is meant by more efficient estimator
+26610,26610,How do you compare estimators
+26611,26611,How do you know if an estimator is efficient
+26612,26612,Is the R value the correlation coefficient
+26613,26613,Is Correlation the same as R
+26614,26614,What does the R value mean in correlation
+26615,26615,How do you find the correlation coefficient in R
+26616,26616,How do you manually calculate the correlation coefficient
+26617,26617,Is the R squared value the correlation coefficient
+26618,26618,How do I choose the best estimator
+26619,26619,What are three properties of a good estimator
+26620,26620,How do u find the median of two numbers
+26621,26621,How do you calculate the median in statistics
+26622,26622,What is median in statistics
+26623,26623,What are the types of recurrent neural network
+26624,26624,What type of algorithm is decision tree
+26625,26625,Is decision tree a greedy algorithm
+26626,26626,What is decision tree algorithm in machine learning
+26627,26627,What is a decision algorithm
+26628,26628,What does fixed effects control for
+26629,26629,What is a fixed effects regression model
+26630,26630,What is r squared and p value
+26631,26631,What does the R2 value tell you
+26632,26632,What does P value mean in R
+26633,26633,Why multiple regression is better than simple regression
+26634,26634,Why is multiple regression useful
+26635,26635,How are KNN classifiers modified
+26636,26636,How is the mean related to the median for a normal distribution
+26637,26637,How do you get rid of Multicollinearity in linear regression
+26638,26638,What is ungrouped data example
+26639,26639,How do you find ungrouped mean
+26640,26640,What is meant by grouped data
+26641,26641,How do we get grouped data from ungrouped data
+26642,26642,How do you calculate correction factor in calibration
+26643,26643,What is the purpose of one hot encoding
+26644,26644,Are dummy variables binary
+26645,26645,What is the difference between mutually exclusive and not mutually exclusive
+26646,26646,Are mutually exclusive or disjoint events independent or dependent
+26647,26647,What is an example of a non mutually exclusive event
+26648,26648,What are mutually exclusive events in probability
+26649,26649,What does standard error mean in regression
+26650,26650,What is SSE in regression
+26651,26651,How do you find the standard error of a coefficient
+26652,26652,What is standard error of regression coefficient
+26653,26653,What is standard error in correlation
+26654,26654,What does Y mean in regression
+26655,26655,What is the standard error of the intercept
+26656,26656,What is an appropriate residual plot
+26657,26657,What can you interpret from this residual scatter plot
+26658,26658,Which of the following method is used to build the KNN regression model
+26659,26659,What is image binning
+26660,26660,What does it mean to be binned
+26661,26661,How do you know if two signals are similar
+26662,26662,Which of the following is a mathematical process used to determine similarity between two different signal
+26663,26663,How do you Normalise a percentage
+26664,26664,What is normalization in probability
+26665,26665,What does Normalised mean
+26666,26666,How do you normalize results
+26667,26667,Do you belong to non creamy layer category
+26668,26668,Who are comes under OBC
+26669,26669,Can decision trees be used for all classification tasks Mcq
+26670,26670,What does positive feedback do in the body
+26671,26671,Does positive feedback increase stimulus
+26672,26672,Which function is used to test goodness of fit of a continuous distribution to data
+26673,26673,Which test is used for goodness of fit
+26674,26674,How do you conduct a goodness of fit test
+26675,26675,What does a moving average filter do
+26676,26676,What is the undesirable side effects of averaging filters
+26677,26677,For what purpose is convolutional neural network used
+26678,26678,What does Type II error mean
+26679,26679,What causes type2 errors
+26680,26680,Is Anova one tailed or two tailed
+26681,26681,What are the assumptions of F test
+26682,26682,What does an F statistic of 1 mean
+26683,26683,How do you know if a test is left tailed or right tailed
+26684,26684,Does at test compare means
+26685,26685,Is NLP AI or ML
+26686,26686,Is neural networks a part of ML
+26687,26687,Is NLP a part of deep learning
+26688,26688,What does range signify
+26689,26689,What does a range represent
+26690,26690,What does range indicate in statistics
+26691,26691,What does it mean when the range is high
+26692,26692,Which search implements stack operation for searching the states *
+26693,26693,What is the other name of informed search strategy *
+26694,26694,What is the difference between inference Summarising and prediction
+26695,26695,What is the difference between an inference prediction observation and explanation
+26696,26696,Is volume a discrete or continuous variable
+26697,26697,How can you tell if data is continuous or discrete
+26698,26698,How do you know if your data is discrete or continuous
+26699,26699,What is an outlier in data analysis
+26700,26700,How are outliers treated in data analysis
+26701,26701,What is data structure explain with example
+26702,26702,What is data structure explain in detail
+26703,26703,What is data structure and explain its types
+26704,26704,What is Gini index in decision tree
+26705,26705,Is Gini better than information gain
+26706,26706,What is the difference between linear and non linear correlation
+26707,26707,What's a nonlinear correlation
+26708,26708,What is the difference between linear and nonlinear data
+26709,26709,What is meant by linear correlation
+26710,26710,What is linear and nonlinear correlation
+26711,26711,What is lexical disambiguation
+26712,26712,What are the assumption of logistic regression
+26713,26713,How do you overcome the learning curve
+26714,26714,What is a good learning curve
+26715,26715,Why steep learning curve is wrong
+26716,26716,How do you interpret the loss and accuracy of a machine learning model
+26717,26717,Why is the convexity of the loss function important for machine learning
+26718,26718,What is need of optimization in machine learning
+26719,26719,What would the probability distribution tell you
+26720,26720,Why do you divide by N 1 for the standard deviation of sample data but not for population data
+26721,26721,Why is the standard error of the mean used for the t test and not the standard deviation
+26722,26722,What is the role of standard error in testing of hypothesis
+26723,26723,What is the n value in standard deviation
+26724,26724,What is N in standard error
+26725,26725,What is Cryptarithmetic problem in AI
+26726,26726,Why is matrix used
+26727,26727,Why is linear algebra used in machine learning
+26728,26728,How do you explain correlation between two variables
+26729,26729,What is meant by imitation learning
+26730,26730,How is linear algebra used in machine learning
+26731,26731,Where is linear algebra used
+26732,26732,How linear algebra is used in data science
+26733,26733,What is linear SVC classifier
+26734,26734,What is SVC algorithm
+26735,26735,What is a predictor and criterion variable
+26736,26736,What makes a good predictor variable
+26737,26737,How do you know if a variable is independent in statistics
+26738,26738,What is GloVe word embedding
+26739,26739,How do you use GloVe word embeds
+26740,26740,What factors will you consider when determining sample size
+26741,26741,Does sample size affect spread
+26742,26742,What is sample size in probability
+26743,26743,How does sample size affect P value
+26744,26744,What effect does increasing the sample size have on the probability
+26745,26745,What is iterable and iterator in python
+26746,26746,What's an iterable in python
+26747,26747,What does iterator mean
+26748,26748,What is a good P value in regression
+26749,26749,How do you find the odds ratio in logistic regression R
+26750,26750,How do I calculate odds ratio
+26751,26751,How do you convert odds ratio to probability
+26752,26752,What is bias and example
+26753,26753,What is feature set
+26754,26754,What is the input to a classifier in machine learning
+26755,26755,What are input features
+26756,26756,What is the shortcut to calculate standard deviation
+26757,26757,What is the formula of shortcut method
+26758,26758,What is meant by generalized in statement Backpropagation is a generalized delta rule
+26759,26759,What is the product rule in statistics
+26760,26760,What is MLP AI
+26761,26761,What does N mean in degrees of freedom
+26762,26762,What is open NMT
+26763,26763,How do you interpret ROCS in SPSS
+26764,26764,How do you find the sensitivity and specificity of a ROC curve in SPSS
+26765,26765,How do you explain a ROC curve
+26766,26766,How do you read an operating receiver curve
+26767,26767,What is a ROC curve and what does it represent
+26768,26768,When should I use Poisson regression
+26769,26769,Does machine learning have neural networks
+26770,26770,How do you calculate error term
+26771,26771,What is the error term
+26772,26772,How do you calculate error in regression
+26773,26773,What is the error term in OLS method
+26774,26774,What is the difference between error terms and residuals in econometrics
+26775,26775,Is residual the same as standard error
+26776,26776,What is assumption error
+26777,26777,How deep is a neural network
+26778,26778,What is ML evaluation
+26779,26779,What is the relationship between a population and a sample
+26780,26780,What is the relationship between the expected value of the sample mean and the expected value of the population
+26781,26781,What is the difference between the mean and the expected value
+26782,26782,What is the mean of the sampling distribution of means
+26783,26783,Is the sample mean the same as the mean
+26784,26784,What is the meaning of mean in probability
+26785,26785,What is an AR 2 model
+26786,26786,Which of the following method gives the best fit for logistic regression model
+26787,26787,Is K means clustering machine learning
+26788,26788,How do you find the class limits in statistics
+26789,26789,What are the class limits of the first class interval
+26790,26790,What are the qualities of good sample
+26791,26791,How do you choose a good sample method
+26792,26792,What is meant by sample size
+26793,26793,What is considered a representative sample size
+26794,26794,How do I know if my data is normally distributed
+26795,26795,Why does it matter if data is normally distributed
+26796,26796,How do we know if the data is normally distributed
+26797,26797,What is distribution testing
+26798,26798,Why normality test is done
+26799,26799,What effect does the unsharp mask filter have on an image
+26800,26800,What happens when you sharpen an image
+26801,26801,What is the advantage of cluster sampling
+26802,26802,What are the advantages of clustering
+26803,26803,Does TensorFlow require Internet
+26804,26804,What does TensorFlow Lite do
+26805,26805,How do you make a TensorFlow Lite model
+26806,26806,How do you convert a TensorFlow model to a TensorFlow Lite
+26807,26807,Why is spatial interpolation so important in a GIS
+26808,26808,Why is interpolation needed
+26809,26809,What type of spatial autocorrelation exists
+26810,26810,What is a false positive and false negative and how are they significant in machine learning
+26811,26811,What does deep mean in deep learning
+26812,26812,Who invented deep learning
+26813,26813,How deep is deep neural network
+26814,26814,Why do we use deep learning
+26815,26815,What is binary logistic regression used for
+26816,26816,What is Stanford NLP
+26817,26817,What is core NLP
+26818,26818,How do you measure validity
+26819,26819,What is test validity and reliability
+26820,26820,Is a standard normal distribution a discrete or continuous distribution
+26821,26821,Does normal distribution apply to discrete variables
+26822,26822,Is the distribution a discrete probability distribution quizlet
+26823,26823,How do you determine if the distribution is a discrete probability distribution
+26824,26824,Is the distribution a discrete probability distribution chegg
+26825,26825,Is probability distribution discrete and continuous
+26826,26826,How do you use interpolation
+26827,26827,How do you explain interpolation
+26828,26828,Why is interpolation used
+26829,26829,What is SVR in Python
+26830,26830,Which learning do we use Labelled data
+26831,26831,Which machine learning algorithm uses both labeled and unlabeled data for training
+26832,26832,How do you interpret Pearson correlation in SPSS
+26833,26833,How do outliers affect regression line
+26834,26834,What is the sample size n
+26835,26835,What is N in stats
+26836,26836,What is N in a confidence interval
+26837,26837,What is a population proportion in statistics
+26838,26838,What is the proportion of population to sample
+26839,26839,How do you calculate population proportion in Excel
+26840,26840,Is population proportion the same as population mean
+26841,26841,What does trending mean
+26842,26842,What is trending now in South Africa
+26843,26843,What does it mean if something is trending
+26844,26844,How will you determine if a product is a trend and a fad
+26845,26845,What is von Mises stress in Abaqus
+26846,26846,How is von Mises stress calculated
+26847,26847,What is von Mises theory
+26848,26848,How do you find the depth of an image
+26849,26849,What is monocular depth estimation
+26850,26850,What is depth in image processing
+26851,26851,How do you take depth in a picture
+26852,26852,What is depth of image in Opencv
+26853,26853,What is depth information in image
+26854,26854,What is depth data
+26855,26855,What is the formula for frequency distribution
+26856,26856,What is frequency distribution in math
+26857,26857,What is frequency distribution class 11
+26858,26858,What is the class frequency
+26859,26859,What is the formula for calculating frequency in statistics
+26860,26860,What is a correlated subquery give an example
+26861,26861,When should we use correlated subquery
+26862,26862,Why use instead of join
+26863,26863,Is NLP part of machine learning
+26864,26864,How do you show independent and dependent variables
+26865,26865,What is achiever batch in Allen
+26866,26866,What is achiever course in Allen
+26867,26867,Is it good to join Allen in 12th
+26868,26868,What is Frcnn
+26869,26869,How many models are there in machine learning
+26870,26870,What is the best machine learning model
+26871,26871,Which is the model used for learning
+26872,26872,What is tag set
+26873,26873,Which NLTK function is used for POS tagging
+26874,26874,How do you define a probability function
+26875,26875,How is probability mass function derived
+26876,26876,Why is bias needed
+26877,26877,How does Bias help to obtain the output
+26878,26878,What is the purpose of bias in neural network
+26879,26879,Why do we use a bias vector in our forward pass
+26880,26880,Does a larger sample size increase reliability
+26881,26881,Does sample size affect effect size
+26882,26882,What is SVC in SVM
+26883,26883,How many layers does a deep neural network have
+26884,26884,How many maximum hidden layers consist in shallow neural networks
+26885,26885,How do you interpret regression in SPSS
+26886,26886,What is a non standard unit of measurement
+26887,26887,What are other units of measurement
+26888,26888,What are non standard measures
+26889,26889,What are the benefits of measurement
+26890,26890,What is hermitian of a matrix
+26891,26891,What is skew Hermitian matrix with example
+26892,26892,How do you identify a Hermitian matrix
+26893,26893,How do you find the skew of a matrix
+26894,26894,What is the formula of skew symmetric matrix
+26895,26895,What is the meaning of skew symmetric matrix
+26896,26896,What is symmetric matrix give an example
+26897,26897,How do you find the skew symmetric matrix
+26898,26898,What is Gladwell's theory of success
+26899,26899,What is the central idea of outliers
+26900,26900,What is Gladwell's tone in outliers
+26901,26901,What is Gladwell's claim in outliers
+26902,26902,What is the potential issue with a large sample
+26903,26903,How does sample size affect statistical power
+26904,26904,What is the impact of increasing sample size and increasing effect size on statistical power
+26905,26905,What happens when the sample size is increased
+26906,26906,What is the effect of the sample size in probability
+26907,26907,What effect does increasing the sample size have on the probability provide an explanation for this result
+26908,26908,What is the difference between single linkage method and the complete linkage method
+26909,26909,What does dimensional analysis cancel out
+26910,26910,How do you prove something is not mutually exclusive
+26911,26911,How do you determine if two events are mutually exclusive or not
+26912,26912,What does the two are not mutually exclusive mean
+26913,26913,How do you use not mutually exclusive in a sentence
+26914,26914,What does mutual exclusivity mean
+26915,26915,What is an example of two mutually exclusive events
+26916,26916,What if two events are independent
+26917,26917,Which of the following random variable is continuous
+26918,26918,Which of the following is an example of continuous random variable
+26919,26919,Which one of these variables is a continuous random variable
+26920,26920,What is continuous and discrete random variable
+26921,26921,Can you have a negative R 2
+26922,26922,What does it mean when R2 is negative
+26923,26923,What does a positive R Squared mean
+26924,26924,Can a negative sign be a coefficient
+26925,26925,Can a slope coefficient be negative
+26926,26926,What is another word for event
+26927,26927,How does reinforcement influence learning
+26928,26928,How does reinforcement affect behavior
+26929,26929,What would be the independent variable
+26930,26930,What would be the independent and dependent variables
+26931,26931,How would you describe a independent variable
+26932,26932,What is an independent variable kid definition
+26933,26933,What is the space complexity of local beam search algorithm
+26934,26934,What can make beam search more likely to find the optimal path to the goal
+26935,26935,How do you predict sample size
+26936,26936,What is the moving average method
+26937,26937,Is moving average regression
+26938,26938,What is the difference between Ma and EMA
+26939,26939,What is ma time series
+26940,26940,What is Ma in Arima
+26941,26941,What is linear programming explain with examples
+26942,26942,What is hidden state in Lstm
+26943,26943,What are hidden layers in Lstm
+26944,26944,What is data cleaning in data analysis
+26945,26945,When would you use a correlation coefficient
+26946,26946,What is the Pearson correlation coefficient used for
+26947,26947,How do you know if there is a correlation
+26948,26948,When Pearson's correlation coefficient between two continuous variables is what does it imply
+26949,26949,When there is no correlation between two variables Pearson's r is
+26950,26950,What is experimental effect
+26951,26951,Why does correlation not equal causation example
+26952,26952,What is a within subjects variable
+26953,26953,What is a between subjects experiment
+26954,26954,What is a between subjects factor
+26955,26955,What does between subjects mean in a between subjects experiment
+26956,26956,What level of evidence is a non randomized controlled trial
+26957,26957,What does randomized trial mean
+26958,26958,How does a Randomised control trial work
+26959,26959,Why is a Randomised control trial good
+26960,26960,How do I interpret logistic regression in SPSS
+26961,26961,How do you interpret B in logistic regression
+26962,26962,What does an odds ratio of 0.7 mean
+26963,26963,How do you find the scalar equation of a line
+26964,26964,How do you find the scalar equation of a vector
+26965,26965,How do you find the equation of a plane given two vectors
+26966,26966,What is the vector equation of XY plane
+26967,26967,Are recommender systems machine learning
+26968,26968,What is the meaning of variation in statistics
+26969,26969,What is the meaning of variation
+26970,26970,What does measure of variation mean
+26971,26971,How do you describe variance
+26972,26972,What is measure of variation in statistics
+26973,26973,How do you describe variation in data
+26974,26974,How do you describe the variability of a data set
+26975,26975,What is the variance of a data set
+26976,26976,How do you describe variability
+26977,26977,What is the standard deviation of the sample proportion
+26978,26978,What is the standard deviation of the sampling distribution
+26979,26979,How do you find the standard deviation of a sample size and proportion
+26980,26980,What is the standard deviation of the sampling distribution of X Bar
+26981,26981,How do you find the mean and standard deviation of the sampling distribution of X Bar
+26982,26982,How do you find the standard deviation of the sampling distribution of X
+26983,26983,What is the standard deviation of the sampling distribution of the sample mean
+26984,26984,What happens to the mean and standard deviation of the distribution of sample means
+26985,26985,How do you find the standard error of the difference
+26986,26986,How do you find the standard error of the difference of two proportions
+26987,26987,How do you find the standard deviation of the differences
+26988,26988,What does Standard Error tell you about a data set
+26989,26989,What does the standard error of the mean ΣM represent
+26990,26990,How do you find the degrees of freedom for the difference in means
+26991,26991,Why is the XOR problem exceptionally interesting to neural network researchers
+26992,26992,What can box plots tell us
+26993,26993,What are the advantages of a box plot
+26994,26994,What is gradient update
+26995,26995,Which learning updates the connecting weights in a neural set
+26996,26996,Why we use Fourier series and Fourier transform
+26997,26997,Why do we use Fourier series
+26998,26998,What's the difference between Fourier series and Fourier transform
+26999,26999,How is pruning done in decision tree
+27000,27000,What is maximum depth in decision tree
+27001,27001,What is the difference between Min_samples_split and Min_samples_leaf
+27002,27002,How do you know if a decision tree is accurate
+27003,27003,How do you know if a sampling distribution is normal
+27004,27004,What is the difference between a sampling distribution and a regular distribution
+27005,27005,What are the limitations of reyleigh's method of dimensional analysis
+27006,27006,What are limitations and applications of dimensional analysis
+27007,27007,What is the principle of homogeneity of dimensions give any two limitations for its application
+27008,27008,What is the range of gamma distribution
+27009,27009,Is gamma distribution continuous
+27010,27010,What algorithm is used for face recognition
+27011,27011,Why is variable selection important
+27012,27012,Which algorithm is used for variable selection
+27013,27013,How do you explain main effect
+27014,27014,How do you identify interaction effects
+27015,27015,What does interaction mean in statistics
+27016,27016,What does an interaction term do
+27017,27017,What is another word for bandit
+27018,27018,What is the opposite of bandit
+27019,27019,What is the definition of the word bandit
+27020,27020,What is another word for rogue
+27021,27021,What is spectral density function in time series
+27022,27022,What does spectral density mean
+27023,27023,How is spectral density calculated
+27024,27024,What is PSD analysis
+27025,27025,What are spectral lines in astronomy
+27026,27026,What problems can Ai cause
+27027,27027,What is meant by AI
+27028,27028,What is attention in neural network
+27029,27029,What is Attention NLP
+27030,27030,What is the predictor and response variables
+27031,27031,What is predictors in regression
+27032,27032,What is the independent variable in linear regression
+27033,27033,What is the best clustering algorithm
+27034,27034,Does standard error measure accuracy or precision
+27035,27035,How do you find the precision of a measurement
+27036,27036,What Is percent precision
+27037,27037,How does standard deviation related to accuracy
+27038,27038,Does standard deviation give a measure of accuracy or precision
+27039,27039,Is Autoencoder deep learning
+27040,27040,What is a good quantile measure
+27041,27041,What is a discrete sample
+27042,27042,What does a dummy variable do in linear regression
+27043,27043,What is the expected value of a uniform distribution
+27044,27044,What does it mean to be uniformly distributed
+27045,27045,Are all z scores normally distributed
+27046,27046,How do you use Z in a normal distribution table
+27047,27047,What is a linear regression algorithm
+27048,27048,What is gradient boosting decision tree
+27049,27049,What is a boosted decision tree
+27050,27050,Does Sklearn linear regression use gradient descent
+27051,27051,Is gradient descent used in logistic regression
+27052,27052,What is statistical Modelling in data science
+27053,27053,Why do we need statistical models
+27054,27054,What does a statistical model do
+27055,27055,Is uniform distribution Exponential family
+27056,27056,Is geometric distribution Exponential family
+27057,27057,Is Cauchy distribution Exponential family
+27058,27058,How does computer vision collect data
+27059,27059,What do you mean by machine vision
+27060,27060,What is the difference between neural network and brain
+27061,27061,What is meant by test validity
+27062,27062,How do you improve test validity
+27063,27063,Can a test have good reliability but poor validity
+27064,27064,How do you increase test retest reliability
+27065,27065,How can reliability and validity be improved
+27066,27066,What factors will influence test reliability
+27067,27067,What does independent mean in statistics
+27068,27068,What is the purpose of time series
+27069,27069,What are the features of time series
+27070,27070,What makes a histogram normal distribution
+27071,27071,How do you draw a normal distribution curve on a histogram
+27072,27072,What is image feature extraction
+27073,27073,What is features in image processing
+27074,27074,What's the meaning of features
+27075,27075,What is a feature of an object in machine learning
+27076,27076,Does median filtering truly preserve edges better than linear filtering
+27077,27077,Can random forest be used for categorical variables
+27078,27078,Is economics a data science
+27079,27079,Is Econometrics A data analysis
+27080,27080,How does the S Curve Work
+27081,27081,What do we tag in POS tagging
+27082,27082,Why POS tagging is important
+27083,27083,What is NLTK Pos_tag
+27084,27084,What is POS tagging used for
+27085,27085,What is POS machine learning
+27086,27086,Why is data visualization so important
+27087,27087,Why is data visualization important to advanced analytics
+27088,27088,What are some advantages of data visualization
+27089,27089,How does visualizing data improve decision making
+27090,27090,How does data help in decision making
+27091,27091,What is the importance of visualization
+27092,27092,What are the benefits of data visualization
+27093,27093,Why is visualization so powerful
+27094,27094,What is gradient descent linear regression
+27095,27095,How do you calculate gradient descent in machine learning
+27096,27096,What do you mean by LTI
+27097,27097,How is LTI system calculated
+27098,27098,What is linear time variant system
+27099,27099,What is greedy policy
+27100,27100,Do histograms show bimodal distribution of data
+27101,27101,How does Gaussian mixture model work
+27102,27102,What is attention mechanism in Lstm
+27103,27103,Why is the control group not a controlled group
+27104,27104,What are the disadvantages of a CVT transmission
+27105,27105,Why is TensorFlow so popular
+27106,27106,How do you use TensorFlow
+27107,27107,What type of machine learning is TensorFlow and PyTorch
+27108,27108,Is TensorFlow an API
+27109,27109,What are pros of neural networks over computers Mcq
+27110,27110,What is the advantages of neural network
+27111,27111,How do you read a confounding variable
+27112,27112,How do you statistically control a confounding variable
+27113,27113,What does it mean when variables are confounded
+27114,27114,Where we can use large numbers
+27115,27115,What is the meaning of large numbers
+27116,27116,What do support vector machines do
+27117,27117,What is classification accuracy in machine learning
+27118,27118,What is the meaning of classification
+27119,27119,How do you do statistical Modelling
+27120,27120,What is statistical Modelling and machine learning
+27121,27121,What is AI and data analytics
+27122,27122,What is AI Analytics
+27123,27123,What is the difference between artificial intelligence and data analytics
+27124,27124,What do you know about AI and analytics
+27125,27125,Is the random variable discrete or continuous explain
+27126,27126,What is a random variable choose the correct answer below
+27127,27127,What is random variable X
+27128,27128,What does X mean in probability
+27129,27129,Is height a discrete random variable
+27130,27130,Is shoe size a discrete variable
+27131,27131,What are bagging algorithms
+27132,27132,What is bootstrapping machine learning
+27133,27133,How does bagging help in designing better classifiers
+27134,27134,How is random forest different from bagging
+27135,27135,What does symbol X mean
+27136,27136,What is a function of X mean
+27137,27137,What is the x value in a function
+27138,27138,What is experimental and theoretical probability
+27139,27139,What is experimental probability used for
+27140,27140,How is experimental probability used to make predictions
+27141,27141,Where do we use probability in real life
+27142,27142,Will the experimental probability of an event stay the same
+27143,27143,How do you calculate the experimental probability
+27144,27144,What are the disadvantages of algorithm
+27145,27145,How does algorithm affect us
+27146,27146,How does attention network work
+27147,27147,How do you calculate rate of diffusion
+27148,27148,How do you choose the correct type of regression analysis
+27149,27149,Why do we use statistical models
+27150,27150,What is the object of statistical Modelling
+27151,27151,What is p value formula
+27152,27152,What does the P value mean in at test
+27153,27153,What does simple linear regression tell you
+27154,27154,What is regression analysis in simple terms
+27155,27155,What is important in regression analysis
+27156,27156,Why is a multiple regression used
+27157,27157,What is inference AI
+27158,27158,What are the different forms of data pre processing
+27159,27159,Can a random sample be biased
+27160,27160,What is the difference between a random sample and a biased sample
+27161,27161,What are the conditions for validity of chi square test
+27162,27162,Which of the following states a key limitation of the chi square test for a population variance
+27163,27163,Does Chi Square assume normal distribution
+27164,27164,What types of variables are needed to perform a chi square test
+27165,27165,What are the assumptions of the chi square test
+27166,27166,What are experimenter effects
+27167,27167,How do you find the expected value in a chi square test of independence
+27168,27168,How do you find the p value in a chi square test
+27169,27169,Why random forest is better than naive Bayes
+27170,27170,When should you use naive Bayes
+27171,27171,Where naive Bayes can be used
+27172,27172,What is term frequency in NLP
+27173,27173,What are the 2 parts of a hypothesis
+27174,27174,What is the difference between predictive and prescriptive data analytics
+27175,27175,How do you do Prescriptive Analytics
+27176,27176,What can prescriptive analytics tell us
+27177,27177,What is needed for Z test
+27178,27178,How are neural networks formed
+27179,27179,How do you know if a word problem is linear or exponential
+27180,27180,What are the two types of growth models
+27181,27181,What is the shape of the growth curve
+27182,27182,What is the easiest way to calculate correlation coefficient
+27183,27183,What is simple correlation coefficient
+27184,27184,How do you find the correlation coefficient on a scatter plot
+27185,27185,How do you calculate standard error of residuals
+27186,27186,What is residual standard error and degrees of freedom
+27187,27187,What's the difference between standard error and residual
+27188,27188,How do you interpret residuals
+27189,27189,What is residual how it is calculated
+27190,27190,How do you interpret residual standard error
+27191,27191,What do residual values mean
+27192,27192,Why is it important for learners to generalize new behavior so they can then add it to their behavioral repertoire so they can use it in a meaningful way across different situations so they can show how much they learned in Aba so they
+27193,27193,What is a task analysis quizlet
+27194,27194,What is a left tailed test
+27195,27195,What is a two tailed test in statistics
+27196,27196,How do I get started in data analysis
+27197,27197,How long does it take to learn data analysis
+27198,27198,What is the best way to learn data analysis
+27199,27199,What sampling method is used for surveys
+27200,27200,What do you mean by sample survey
+27201,27201,What is the best sampling technique to use for determining
+27202,27202,What is objective of a sample survey
+27203,27203,Why is covariance divided by n 1
+27204,27204,What is the percentage of normal distribution
+27205,27205,What does the harmonic mean tell us
+27206,27206,How harmonic mean is different from arithmetic mean
+27207,27207,How do you evaluate a classifier performance
+27208,27208,What is the measure of performance for classification
+27209,27209,What is the margin of error for a 99 confidence interval
+27210,27210,How do you analyze a text
+27211,27211,Which of the following is a text mining technology
+27212,27212,What is unsupervised image classification
+27213,27213,What does a negative constant coefficient mean
+27214,27214,What does Randomised control trial mean
+27215,27215,Is data science necessary for machine learning
+27216,27216,How Data Science is related to machine learning
+27217,27217,Is data science related to artificial intelligence
+27218,27218,Is random forest used for regression
+27219,27219,What is imbalanced data
+27220,27220,What is the formula for uniform distribution
+27221,27221,What is the formula for calculating the mean of a probability distribution
+27222,27222,What is the mean of uniform distribution
+27223,27223,What is the mean and variance of uniform distribution
+27224,27224,What does U 0 1 mean
+27225,27225,What do we mean by representation
+27226,27226,What's the difference between Gaussian mixture model and K means
+27227,27227,What does K stand for in K means
+27228,27228,What is EM algorithm in machine learning
+27229,27229,What is the purpose of identifying the similarity between the words in the documents
+27230,27230,What is the scope of deep learning
+27231,27231,What is Anova and why is it used
+27232,27232,What is the classification accuracy
+27233,27233,How do you find the accuracy of an algorithm
+27234,27234,How do you choose classification algorithm
+27235,27235,What are generalization strategies
+27236,27236,What is generalization error in SVM
+27237,27237,What is generalization error in terms of SVM
+27238,27238,How do I figure out a weighted grade
+27239,27239,How is weighted GPA calculated
+27240,27240,How do you calculate weighted scores
+27241,27241,How is weighted average rating calculated
+27242,27242,What does logarithmic mean
+27243,27243,Is logarithmic the same as exponential
+27244,27244,What is meant by regression Modelling
+27245,27245,Which are regression models
+27246,27246,What is an outgroup in sociology
+27247,27247,What is an outgroup quizlet
+27248,27248,What are Ingroups and Outgroups
+27249,27249,What is outgroup in sociology
+27250,27250,Why do we use decision tree classifier
+27251,27251,How does decision tree classification work
+27252,27252,What does a decision tree do
+27253,27253,What is basis of inductive learning bias in decision tree
+27254,27254,What is a univariate data
+27255,27255,What is Bayesian probability how is it used in research Brainly
+27256,27256,What is Bayesian probability how is it used in research quizlet
+27257,27257,What is the difference between population variance and standard deviation
+27258,27258,Is variance a standard deviation
+27259,27259,How do you find population standard deviation
+27260,27260,What is the standard deviation formula for a sample vs population
+27261,27261,Is standard deviation a statistic or parameter
+27262,27262,Is standard deviation sample or population
+27263,27263,What is unsupervised method
+27264,27264,What is the dataset that is used to evaluate a machine learning algorithm called
+27265,27265,How do you swap variables
+27266,27266,How do artificial neurons work
+27267,27267,Why do we use artificial neural networks
+27268,27268,What is Perceptron network
+27269,27269,What is embedding learning
+27270,27270,What will be the size of learned word Embeddings
+27271,27271,What is meant by the concept of correlation
+27272,27272,Who gave the concept of correlation
+27273,27273,Is keras installed with TensorFlow
+27274,27274,How do I use keras from TensorFlow
+27275,27275,How do you interpret lift in association rules
+27276,27276,What is support in data mining
+27277,27277,What does Joint mean in statistics
+27278,27278,What is meant by harmonic mean
+27279,27279,What is the formula of harmonic sequence
+27280,27280,What is spatial correlation in statistics
+27281,27281,How do you find the p value in hypothesis testing
+27282,27282,What is the p value of a test of a null hypothesis
+27283,27283,How do models fit into data
+27284,27284,Which regression model best fits the data set 2 13/4 8
+27285,27285,What type of model best fits the data
+27286,27286,How do you find the best fit regression model
+27287,27287,What are data analysis tools and techniques
+27288,27288,What is residual standard error
+27289,27289,Is residual standard error same as RMSE
+27290,27290,Is residual standard error sigma or sigma squared
+27291,27291,What does F distribution look like
+27292,27292,How do you describe the strength of a correlation
+27293,27293,What are the characteristics of correlation
+27294,27294,What is the difference between a multinomial goodness of fit test and a test for independence
+27295,27295,How do you compare two population means
+27296,27296,What is the purpose of interpolation
+27297,27297,What is linear interpolation used for
+27298,27298,When should you interpolate
+27299,27299,What is sampling and sample size
+27300,27300,What is the difference between sample size and sample frame
+27301,27301,What does a sample size mean
+27302,27302,What is sample size and population
+27303,27303,What are the basic principles of learning
+27304,27304,What are the different biases
+27305,27305,Which of the following is an example of preference bias
+27306,27306,What is inductive bias in decision tree
+27307,27307,Which of the following is a low pass filter
+27308,27308,How the low pass filter can be converted into high pass filter
+27309,27309,How does an inductor act as a filter
+27310,27310,What is inductor and how it works
+27311,27311,How do you ensure data is normally distributed
+27312,27312,How do you solve normal distribution problems
+27313,27313,What is non stationary signal
+27314,27314,Why image preprocessing is required
+27315,27315,What are the preprocessing technique used for image processing
+27316,27316,How do you make a face recognition camera
+27317,27317,How do you find mutual information
+27318,27318,What does it mean if data is stationary
+27319,27319,Why random walk is not stationary
+27320,27320,What is trend stationary process and difference stationary process
+27321,27321,What is LDA and PCA
+27322,27322,Is random forest used for classification
+27323,27323,Why do we classify the random forest
+27324,27324,Is Random Forest a statistical model
+27325,27325,How do you do a log rank in SPSS
+27326,27326,Why are the eigenvalues of a Hermitian matrix real
+27327,27327,How do you prove a matrix is hermitian
+27328,27328,What is skew symmetric matrix with example
+27329,27329,What is real skew symmetric matrix
+27330,27330,How do you determine the null and alternative hypothesis
+27331,27331,How do you specify the null hypothesis
+27332,27332,What is a low R squared value
+27333,27333,Should R Squared be high or low
+27334,27334,Why randomized controlled trials is the gold standard
+27335,27335,Is 400 a good sample size
+27336,27336,What is the formula for effect size
+27337,27337,What is effect size in RCT
+27338,27338,How is effect size affected by sample size
+27339,27339,What is stochastic behavior
+27340,27340,What is sampling error class 11
+27341,27341,Why is sampling error a problem in research
+27342,27342,What is difference between universe and sampling
+27343,27343,What is meant by universe or population
+27344,27344,What is the difference between Universe and Sample Class 11
+27345,27345,What is the differences between population and sample
+27346,27346,How do you define sampling
+27347,27347,What defines a simple random sample
+27348,27348,What is the mean of a probability density function
+27349,27349,How do you find the mean of a probability function
+27350,27350,How do you find the median of a probability density function
+27351,27351,What is the median of a probability density function
+27352,27352,What is the output of a probability density function
+27353,27353,What does probability density tell us
+27354,27354,Is density a probability
+27355,27355,Why is generating pattern important in problem solving
+27356,27356,How do patterns contribute to an understanding of counting and mathematical concepts
+27357,27357,How are patterns help to model real world problems
+27358,27358,Why is it important to recognize patterns
+27359,27359,What is pattern recognition how it is helpful
+27360,27360,Why is pattern recognition important in ideation
+27361,27361,Where is pattern recognition used
+27362,27362,What is Kendall's tau used for
+27363,27363,What is Spearman correlation used for
+27364,27364,How do you interpret the Spearman correlation
+27365,27365,What is the use of rank correlation
+27366,27366,When would Median be better than mean
+27367,27367,What is the advantage of median over mean
+27368,27368,When would you use median in real life
+27369,27369,When should you use mean median or mode
+27370,27370,Why is taking an average better
+27371,27371,Why is average of averages wrong
+27372,27372,Which helps SVM to implement the algorithm in high dimensional space
+27373,27373,What is SVM
+27374,27374,What are the types of implicit bias
+27375,27375,How do you describe a descriptive statistics table
+27376,27376,What is inferential statistics in statistics
+27377,27377,What are inferential statistics used for quizlet
+27378,27378,What's the difference between inferential and descriptive statistics
+27379,27379,How can you compare the efficiency of two algorithms
+27380,27380,How do we compare algorithms which solve the same problem
+27381,27381,What determines the efficiency of an algorithm
+27382,27382,Why should an algorithm be efficient
+27383,27383,How do you measure the efficiency of an algorithm
+27384,27384,Which of the following factors determine the efficiency of an algorithm
+27385,27385,How can you improve performance of algorithm in terms of memory efficiency
+27386,27386,How can you measure and increase the efficiency of an algorithm
+27387,27387,What is efficiency with regards to algorithm performance
+27388,27388,What are the two types of measurement error
+27389,27389,Who is Randu
+27390,27390,What are the 4 criteria for a binomial probability experiment
+27391,27391,What is encoder and decoder in neural network
+27392,27392,What is encoder in NLP
+27393,27393,Why is the discount factor used in an MDP formulation
+27394,27394,What unit does a voltmeter measure
+27395,27395,Why do we use Gaussian filter
+27396,27396,What is the difference between reference and Gaussian filter
+27397,27397,How do you conduct systematic random sampling
+27398,27398,Why are decision trees useful
+27399,27399,What is model evaluation
+27400,27400,How do you do multiple linear regression
+27401,27401,What causes autocorrelation
+27402,27402,What does Autocovariance mean
+27403,27403,How do you interpret Multicollinearity
+27404,27404,How do you interpret VIF values
+27405,27405,What is classifier accuracy in data mining
+27406,27406,What are the types of classification in data mining
+27407,27407,What does perplexity measure
+27408,27408,What is perplexity in topic modeling
+27409,27409,How do NLP models work
+27410,27410,Which NLP model gives best accuracy
+27411,27411,How do you interpret a logistic regression analysis
+27412,27412,How do you analyze a regression analysis
+27413,27413,What is the purpose of correlation and regression analysis
+27414,27414,What is correlation in analysis
+27415,27415,Why is correlation analysis used
+27416,27416,What is regression analysis research
+27417,27417,What is forecasting in time series analysis
+27418,27418,What is metric in machine learning
+27419,27419,What is metadata in machine learning
+27420,27420,How do you handle high dimensional data
+27421,27421,What is beta inverse
+27422,27422,Is a parameter a random variable
+27423,27423,What is kernel in convolution neural network
+27424,27424,What does explained variance tell you
+27425,27425,What is variance score
+27426,27426,What is total variance explained in factor analysis
+27427,27427,What is proportion of variance explained
+27428,27428,What percentage of variance is accounted for
+27429,27429,How do you do a cluster analysis in SPSS
+27430,27430,What is the prerequisite for hierarchical clustering
+27431,27431,What is the purpose of using dropout
+27432,27432,What is a negative hypothesis
+27433,27433,What are some limitations of hypothesis testing
+27434,27434,What are the advantages of hypothesis testing
+27435,27435,What are the limitations of hypothesis
+27436,27436,How do you minimize type I and type II errors
+27437,27437,How do you improve hypothesis
+27438,27438,Can the chi square distribution be negative
+27439,27439,Can a critical value for the Chi squaredχ2 test be negative explain
+27440,27440,How do you determine if a function is differentiable
+27441,27441,What are the requirements for a function to be differentiable
+27442,27442,What is the function of zero indicator
+27443,27443,What are different types of indicators
+27444,27444,What are two examples indicators
+27445,27445,How do you integrate a function within a function
+27446,27446,What does it mean to integrate a function
+27447,27447,What is the use of exponential distribution
+27448,27448,What does the probability distribution indicate
+27449,27449,Why do we need distribution in statistics
+27450,27450,What does stationary mean in time series
+27451,27451,How many layers are there in artificial neural network
+27452,27452,What is hidden layers in neural network
+27453,27453,Why neural networks have multiple layers
+27454,27454,What does a bell curve tell you
+27455,27455,What does the bell curve tell us
+27456,27456,What is bimodal situation
+27457,27457,What may be the reason for the bimodal distribution explain
+27458,27458,Why are two meaningful parts of a bimodal distribution often searched for
+27459,27459,Does a bimodal distribution have two means
+27460,27460,What can we learn from frequency distribution
+27461,27461,What is the value of the test statistic
+27462,27462,How do you find the standardized test statistic Z
+27463,27463,What is meant by binning
+27464,27464,Why do we use binning
+27465,27465,Why do we do binning
+27466,27466,What is slope and intercept in regression
+27467,27467,What is intercept in correlation
+27468,27468,What is intercept and slope in regression
+27469,27469,What does the P value of the intercept mean
+27470,27470,What is intercept in regression
+27471,27471,What is intercept in Excel
+27472,27472,What is the intercept in a multiple regression model
+27473,27473,What is the intercept in a regression equation
+27474,27474,What is Ŷ
+27475,27475,What is the symbol for linear regression
+27476,27476,What are popular deep learning frameworks
+27477,27477,What is Regularisation parameter tells in SVM
+27478,27478,What is gamma parameter tells in SVM
+27479,27479,How can statistics can be misleading
+27480,27480,How statistics can be misleading TED talk
+27481,27481,Why do we need kernel
+27482,27482,What unit is n KG
+27483,27483,How do you convert n to KG
+27484,27484,Is Newtons in kg or g
+27485,27485,What unit is kg m2
+27486,27486,Is kg/m2 s2 a unit of energy
+27487,27487,Is KG m2 s3 a unit of power
+27488,27488,What is the meaning of KG m2
+27489,27489,What does a neural network predict
+27490,27490,What is neural network method
+27491,27491,How can an artificial neural network be applied in forecasting
+27492,27492,What is T interval used for
+27493,27493,How do you calculate quartile deviation
+27494,27494,Why do we calculate quartile deviation
+27495,27495,What is assertion rule mining in DBMS
+27496,27496,Why do we use vectors
+27497,27497,What does a vector indicate
+27498,27498,How is classification analysis used
+27499,27499,What is classification in data analysis
+27500,27500,What is classification method
+27501,27501,What is Anova formula
+27502,27502,How do you do one step dimensional analysis
+27503,27503,Why do we need to convert from one unit of measure to another
+27504,27504,What is correlation r in statistics
+27505,27505,What is correlation calculations
+27506,27506,How do you find the relationship between two variables
+27507,27507,How do you find the correlation matrix in R
+27508,27508,How do you plot a correlation matrix in R
+27509,27509,What is ML time series
+27510,27510,What is the PDF of X
+27511,27511,What is RBF
+27512,27512,What is linear kernel
+27513,27513,What is the difference between independent and dependent variable examples
+27514,27514,How do we define a sample space
+27515,27515,What is the formula for sample space
+27516,27516,How do you interpret logit results
+27517,27517,Is logit the same as logistic regression
+27518,27518,How do you calculate log odds in logistic regression
+27519,27519,How do you Exponentiate log odds
+27520,27520,What are logged odds
+27521,27521,Why do we compute the variance rather than the standard deviation
+27522,27522,What is considered a high F value
+27523,27523,What does a high F value mean in Anova
+27524,27524,What is dissimilarity matrix in data mining
+27525,27525,What is the function role of Quantiles in probability and statistics
+27526,27526,What is a good quantile score
+27527,27527,What does quantile interval mean
+27528,27528,What is a high quantile score
+27529,27529,What is 1st quantile
+27530,27530,Is median a quantile
+27531,27531,What does stratified sample mean
+27532,27532,Should I report standardized or unstandardized regression coefficients
+27533,27533,How do you interpret standardized and unstandardized coefficients
+27534,27534,How do you interpret standardized regression coefficients
+27535,27535,What does regression equation tell us
+27536,27536,What does a beta coefficient of 0.5 mean in multiple regression
+27537,27537,How do you interpret multiple linear regression coefficients
+27538,27538,What is the rule for identifying outliers
+27539,27539,What are the disadvantages of positive reinforcement
+27540,27540,How do you find the median of a sample
+27541,27541,What is the difference between mean and median age
+27542,27542,Should I learn both TensorFlow and PyTorch
+27543,27543,What is the major difference between multivariate testing and a B testing
+27544,27544,What is AB on a test
+27545,27545,What is the definition of probability in statistics
+27546,27546,Can we use SVM for prediction
+27547,27547,What is mean deviation about median
+27548,27548,What is the formula of mean deviation about mean
+27549,27549,Can you calculate mean from median
+27550,27550,How do you find mean median and standard deviation
+27551,27551,What is the median deviation
+27552,27552,How do you find median and standard deviation
+27553,27553,How do you find the decision rule in Excel
+27554,27554,What is a correct decision in statistics
+27555,27555,What are the decision rules in hypothesis testing
+27556,27556,What is the decision rule when using the P value approach to hypothesis testing
+27557,27557,What does a negative correlation coefficient mean
+27558,27558,How do you interpret a negative correlation
+27559,27559,What does a negative R value mean
+27560,27560,What is an example of a positive correlation
+27561,27561,How do you conduct a randomization test
+27562,27562,Why is randomization important in stats
+27563,27563,What is a randomization sample
+27564,27564,Are randomization tests Parametric
+27565,27565,What is LBPH algorithm
+27566,27566,How is local binary pattern calculated
+27567,27567,Which is the best face recognition algorithm
+27568,27568,What is the LBP
+27569,27569,What is LBP feature extraction
+27570,27570,What is second moment in statistics
+27571,27571,What is a negative binomial random variable
+27572,27572,What is the difference between a binomial random variable and a geometric random variable
+27573,27573,What is the difference between normal distribution and binomial distribution
+27574,27574,How do you differentiate a binomial distribution
+27575,27575,Can we use gradient descent for logistic regression
+27576,27576,What are action words examples
+27577,27577,How do you control sampling and nonsampling errors
+27578,27578,How can sampling error be controlled
+27579,27579,How do you reduce sampling error
+27580,27580,What affects sampling error
+27581,27581,What is Y hat in linear regression
+27582,27582,What is Y in the regression equation
+27583,27583,How do you find the Y cap in regression
+27584,27584,What is Y hat in statistics
+27585,27585,What does it mean if the Y intercept is negative
+27586,27586,What happens to standard deviation when mean increases
+27587,27587,Is standard deviation from the mean or median
+27588,27588,What is difference between correlation and regression
+27589,27589,What is difference between correlation and correlation coefficient briefly describe
+27590,27590,What is regression in statistics PDF
+27591,27591,What is the difference between regression and correlation in statistics
+27592,27592,What is correlation and linear regression
+27593,27593,How do you find the consistency of data in statistics
+27594,27594,What is expandable AI
+27595,27595,How does explainable AI work
+27596,27596,What is the explainable AI and why is important
+27597,27597,Which case would benefit from explainable AI principles Accenture
+27598,27598,What is black box in machine learning
+27599,27599,What is the importance of metrics
+27600,27600,What do metrics mean
+27601,27601,What is a high likelihood ratio
+27602,27602,How do you do likelihood ratios
+27603,27603,What is pooling in networking
+27604,27604,What is a lurking variable in statistics
+27605,27605,How do you avoid lurking variables
+27606,27606,What does a lurking variable mean
+27607,27607,How do you identify a lurking variable
+27608,27608,What is the difference between a lurking variable and a confounding variable
+27609,27609,What problems can lurking variables cause
+27610,27610,What is the difference between spatial and temporal
+27611,27611,What do you mean by data mining
+27612,27612,What is spatial database in data mining
+27613,27613,What is mean by spatial data
+27614,27614,What are the different types of spatial data mining
+27615,27615,What is the difference between spatial variability and temporal variability
+27616,27616,What does spatial variability mean
+27617,27617,What is the impact of measurement error on assessment
+27618,27618,What consequences result from inaccurate measurements
+27619,27619,What is the relationship between reliability and standard error of measurement
+27620,27620,What is reliability and how can I increase the reliability of my measurement
+27621,27621,What does a box plot show
+27622,27622,Is P value 0.05 Significant
+27623,27623,What is the difference between P value and critical value
+27624,27624,What is the P value approach
+27625,27625,What is the p value used for
+27626,27626,What are some limitations of probability testing
+27627,27627,Why is the P value bad
+27628,27628,How do you find the linear regression in R
+27629,27629,What is a predicted value in regression
+27630,27630,How do you interpret R in regression
+27631,27631,What does the R value tell you about the regression model for the data
+27632,27632,Is t test descriptive or inferential
+27633,27633,Which situation is an example of using inferential statistics
+27634,27634,What is the difference between inferential statistics and descriptive statistics
+27635,27635,Why do we use descriptive statistics
+27636,27636,How do you calculate information ratio
+27637,27637,What does the information ratio measure
+27638,27638,Is linear regression a classifier
+27639,27639,Can a logistic regression classifier work perfectly on a non linear data
+27640,27640,What is the purpose of a B testing
+27641,27641,Who uses a B testing
+27642,27642,What is a hypothesis of difference
+27643,27643,What are different types of hypothesis testing
+27644,27644,How do you tell if the output is a function of the input
+27645,27645,How do you know if a study is reliable
+27646,27646,What are the criteria to evaluate the performance of an algorithm
+27647,27647,Where can I practice algorithms and data structures
+27648,27648,How do you convert sample standard deviation to population standard deviation
+27649,27649,What is the estimated population standard deviation
+27650,27650,How do you find the population with the mean and standard deviation
+27651,27651,What is instance in machine learning
+27652,27652,What are message queues used for
+27653,27653,Why do we need a messaging system
+27654,27654,How do you know if entropy is positive or negative
+27655,27655,What is positive entropy
+27656,27656,What is the difference between a neuron and a nerve BBC Bitesize
+27657,27657,What does chunking mean in memory
+27658,27658,What is chunking in learning
+27659,27659,How can chunking improve memory
+27660,27660,What is NLTK in NLP
+27661,27661,WHY A * is better than best first search
+27662,27662,Why we use A * algorithm
+27663,27663,What does spatiotemporal mean
+27664,27664,What does temporal variation mean
+27665,27665,What is linear time
+27666,27666,Is 0.1 A weak correlation
+27667,27667,How do you choose the best activation function
+27668,27668,How do you start an analysis sentence
+27669,27669,How do you write an analysis
+27670,27670,What is the difference between AI and ML
+27671,27671,What is the purpose of a hashing algorithm
+27672,27672,Why we use hashing in data structure
+27673,27673,Why is hashing important
+27674,27674,Where is hash algorithm used
+27675,27675,How do you find theoretical probability
+27676,27676,Can experimental and theoretical probability be the same
+27677,27677,How do you find the experimental probability of rolling a 6
+27678,27678,What is a Bayesian statistical model
+27679,27679,What is representative sample
+27680,27680,What is the difference between a sample and a representative sample
+27681,27681,What is representative sample and its indication for audit sample
+27682,27682,What is the definition of a representative sample
+27683,27683,What is the most representative sampling method
+27684,27684,What is a representative sample in statistics
+27685,27685,What is representativeness in statistics
+27686,27686,What are the different types of sampling errors
+27687,27687,What are the sources of errors in survey
+27688,27688,What are the sources of statistical errors
+27689,27689,What does λ mean
+27690,27690,What is lambda value
+27691,27691,What is lambda calculus used for
+27692,27692,Which function is used to implement median filter
+27693,27693,What are the common ways of implementing machine learning
+27694,27694,When should you use deep learning
+27695,27695,What is decision tree in big data
+27696,27696,What is a decision tree called
+27697,27697,What is the use of sigmoid function in logistic regression
+27698,27698,What is sigmoid activation
+27699,27699,What does the slope mean in regression analysis
+27700,27700,How do you know if a slope is positive or negative
+27701,27701,What does it mean to interpret the slope and y intercept
+27702,27702,How do you interpret a slope in statistics
+27703,27703,What does intelligence really mean
+27704,27704,Whats the meaning of intelligent
+27705,27705,What is the difference between active noise Cancelling and adaptive noise Cancelling
+27706,27706,What is adaptive noise Cancelling
+27707,27707,How do you find the sample size for non probability sampling
+27708,27708,What are the characteristics of frequency distribution
+27709,27709,How do you approximate the mean of a frequency distribution
+27710,27710,How are frequency distributions used to describe and explore data sets
+27711,27711,What does relative frequency measure
+27712,27712,What is clustering and association in unsupervised learning
+27713,27713,What is association analysis
+27714,27714,What is clustering and association
+27715,27715,What is the CNN model
+27716,27716,How many layers are there in CNN
+27717,27717,How can case control study prevent selection bias
+27718,27718,What is selection bias in case control studies
+27719,27719,What is a standardized normal distribution
+27720,27720,What is the difference between Bayesian and frequentist
+27721,27721,Is Bayesian a machine learning
+27722,27722,What is the difference between frequentist and Bayesian
+27723,27723,Why feature scaling is important before applying K means algorithm
+27724,27724,How do you calculate Fisher's exact test
+27725,27725,What does Fisher's exact test tell you
+27726,27726,What is a neural network and how does it work
+27727,27727,What is hog feature in image processing
+27728,27728,What Isconvolutional neural network
+27729,27729,What are vanishing and exploding gradient problems
+27730,27730,What is K nearest neighbors algorithm in machine learning
+27731,27731,What are the different steps in K nn
+27732,27732,How do you show a function is an eigenfunction of an operator
+27733,27733,What do you mean by eigenvalue and eigenfunction
+27734,27734,What is meant by conditional probability
+27735,27735,Is P a/b same as P B A
+27736,27736,What does P B A mean
+27737,27737,What is P A and B in probability
+27738,27738,What does az score mean in statistics
+27739,27739,Is Z score the same as variance
+27740,27740,What are the normal curve in statistics
+27741,27741,What characterizes a standard normal distribution
+27742,27742,What is the meaning of normal curve
+27743,27743,What is the other term for the normal curve
+27744,27744,How do you construct a normal curve
+27745,27745,How do you draw a normal distribution curve in Word
+27746,27746,How do you draw a probability curve
+27747,27747,What is unsupervised learning give examples of unsupervised learning tasks
+27748,27748,How do you find the local maximum and minimum
+27749,27749,Which filters are called order statistic filters
+27750,27750,Which of the following filters response is based on ordering of pixels
+27751,27751,Is Gan unsupervised learning
+27752,27752,What does midrange mean
+27753,27753,What is the midrange and how is it obtained
+27754,27754,How do you find mid range
+27755,27755,What is Data Transformation give example
+27756,27756,What are the types of data transformation
+27757,27757,What does P A or B mean in statistics
+27758,27758,How do you calculate PA and B to C
+27759,27759,How do you calculate a given B
+27760,27760,How do you evaluate Gan
+27761,27761,Is logistic regression AI
+27762,27762,Why is there no error term in logistic regression
+27763,27763,What is the difference between parametric and non parametric data
+27764,27764,Is Collinearity the same as correlation
+27765,27765,How do you test for Collinearity
+27766,27766,How do you detect Multicollinearity in a correlation matrix
+27767,27767,How do you calculate the expected value of a random variable quizlet
+27768,27768,What is the equation for expected value
+27769,27769,Is independent uncorrelated
+27770,27770,How can you tell if variables are independent
+27771,27771,What are uncorrelated variables
+27772,27772,How do you know if two variables are dependent
+27773,27773,Are normal distributions linear
+27774,27774,What is the purpose of continuous wavelet transform
+27775,27775,What is meant by wavelet transform
+27776,27776,What is the value of the test statistic Z
+27777,27777,How do you interpret the t statistic
+27778,27778,What does a z score tell us about the position of a data value
+27779,27779,What is factor analysis test
+27780,27780,How is variance ratio calculated
+27781,27781,What is ratio of variance
+27782,27782,What is the variance ratio test
+27783,27783,How do you find the variance of two variables
+27784,27784,What does F test do
+27785,27785,Does hide know kaneki is a ghoul
+27786,27786,Does Sasaki know he's a ghoul
+27787,27787,What does log normal mean
+27788,27788,What is a log return
+27789,27789,Are returns normally distributed
+27790,27790,What does entropy measure
+27791,27791,How do you use central idea in a sentence
+27792,27792,What does Central mean in a sentence
+27793,27793,What does it mean if something is central
+27794,27794,What is an environment in artificial intelligence
+27795,27795,What is brain plasticity and how does it work
+27796,27796,Is normal curve and normal distribution the same
+27797,27797,Why is normal distribution called normal
+27798,27798,Does a normal distribution describe asset returns
+27799,27799,What does Error Expected mean
+27800,27800,What is the value of standard error
+27801,27801,What is the key difference between one way Anova and t test
+27802,27802,Which tests that the group means are a better fit of the data than the grand mean
+27803,27803,Is the one way Anova test robust quizlet
+27804,27804,Which filter is useful for noise reduction
+27805,27805,How do you write a discrete probability distribution
+27806,27806,What do you mean by discrete probability distribution
+27807,27807,Which conditions are used for applying chi square test
+27808,27808,What does the chi square value mean
+27809,27809,What are the challenges of big data
+27810,27810,What is a dataset in spark
+27811,27811,What is difference between dataset and DataFrame in spark
+27812,27812,What is the difference between RDD and DataFrame and dataset
+27813,27813,What is difference between RDD DataFrame and dataset
+27814,27814,Why do we use DataFrame
+27815,27815,Can artificial intelligence replace human being
+27816,27816,Can artificial intelligence take over human intelligence
+27817,27817,What are the types of experiments in statistics
+27818,27818,How do you create a statistical experiment
+27819,27819,What is the criteria to decide that which algorithm is best
+27820,27820,How do you determine if one algorithm is better than another
+27821,27821,What does it mean for an algorithm to be efficient
+27822,27822,What is effectiveness in algorithm
+27823,27823,What is the purpose of a correlation
+27824,27824,What is a correlation test used for
+27825,27825,What is normal cumulative distribution
+27826,27826,How do we interpret a dummy variable slope coefficient
+27827,27827,What is a dummy variable in linear regression
+27828,27828,What are dummy variables used for
+27829,27829,How do you do dummy variable regression
+27830,27830,What is dummy coding used for
+27831,27831,What is a dummy variable in regression
+27832,27832,What does dummy code mean
+27833,27833,What is naive Bayes algorithm in machine learning
+27834,27834,Is naive Bayes machine learning
+27835,27835,How do you analyze odds ratio in SPSS
+27836,27836,What is the interval of a histogram
+27837,27837,How do you find the median and interval on a histogram
+27838,27838,How do you find the interval of data
+27839,27839,Do histograms use intervals
+27840,27840,What does a histogram not show
+27841,27841,How do you find the interval in a frequency table
+27842,27842,What can you use TensorFlow for
+27843,27843,How do you read ratios
+27844,27844,What is meant by neural
+27845,27845,What is meant by real time processing give an example
+27846,27846,What is batch time processing
+27847,27847,What do u mean by real time
+27848,27848,What is another word for real time
+27849,27849,What is real time example
+27850,27850,What are real time services
+27851,27851,How do you remember precision and accuracy
+27852,27852,How do you explain precision and recall
+27853,27853,How do you remember the difference between sensitivity and specificity
+27854,27854,What is the formula in determining the minimum sample size needed in estimating the population mean
+27855,27855,When estimating the population mean with a small sample the T distribution may be used with how many degrees of freedom
+27856,27856,When estimating a population mean when should you use a t distribution and when should you use a Z distribution
+27857,27857,How do you calculate population standard deviation
+27858,27858,How do you find the standard deviation of a sample standard deviation
+27859,27859,Is sample mean same as population mean
+27860,27860,Is IQ an interval
+27861,27861,What type of variable is IQ
+27862,27862,Is age an interval scale
+27863,27863,What is L1 and L2 electrical
+27864,27864,What is clustering problem explain Birch clustering algorithm
+27865,27865,What is finally produced by hierarchical clustering
+27866,27866,What is cost function in machine learning
+27867,27867,What happens in the case of binocular disparity
+27868,27868,What causes eye depth perception problems
+27869,27869,Is binocular disparity the same as retinal disparity
+27870,27870,What is difference between set and multiset
+27871,27871,Which of the following machine learning algorithm is more applicable for continuous data
+27872,27872,What is goal stack planning in AI
+27873,27873,What are the planning techniques in AI
+27874,27874,What is planning system in AI
+27875,27875,How is feature extraction done in NLP
+27876,27876,What is probability mass function and density function
+27877,27877,How do you combine probabilities for independent events
+27878,27878,Is the product of two normal distributions normal
+27879,27879,What is the correct truth table for p q
+27880,27880,What does a regression test tell you
+27881,27881,Why is regression testing necessary
+27882,27882,What does a linear regression test tell you
+27883,27883,What are input values called
+27884,27884,How do you find the input value
+27885,27885,Is linear regression part of machine learning
+27886,27886,How do you use a gradient filter
+27887,27887,How do you work out the gradient of an image
+27888,27888,What is gradient in image processing
+27889,27889,What is gradient computation equation
+27890,27890,What is gradient magnitude
+27891,27891,How does a Sobel filter work
+27892,27892,What does skewed left mean
+27893,27893,What does skewed left mean on a histogram
+27894,27894,What are network ACL
+27895,27895,What are the key differences between a default security group and a custom security group
+27896,27896,What is NSG in AWS
+27897,27897,What is NACLs
+27898,27898,When would it be appropriate to use network ACLs
+27899,27899,Why is security group stateful
+27900,27900,How do you create a text classifier
+27901,27901,What is NLP data
+27902,27902,How do I normalize text data
+27903,27903,What is deep learning in text classification
+27904,27904,What is the distance between two vectors
+27905,27905,How do you find the similarity of two matrices
+27906,27906,What does it mean for 2 matrices to be similar
+27907,27907,How do you calculate similarity percentage
+27908,27908,Are neural networks AI
+27909,27909,What is the meaning of parametric
+27910,27910,What is parametric test example
+27911,27911,What do you mean by calibration
+27912,27912,What do you understand by calibration explain with clear example
+27913,27913,What is calibration and its types
+27914,27914,What is calibration method
+27915,27915,What is calibration used for
+27916,27916,What is covariance used for
+27917,27917,What is the variance covariance matrix used for
+27918,27918,Why would you prefer the correlation to the covariance
+27919,27919,Is covariance variance squared
+27920,27920,What do you mean by simple regression
+27921,27921,How do you find the odds ratio in logistic regression in SPSS
+27922,27922,What is the formula for calculating odds ratio
+27923,27923,What is the meaning of information gap
+27924,27924,What is information gap principle
+27925,27925,What is knowledge gap theory
+27926,27926,What does knowledge gap mean
+27927,27927,What is decision making theory
+27928,27928,What are the applications of expert system
+27929,27929,What is input in machine learning
+27930,27930,How do you connect model input data with predictions for machine learning
+27931,27931,What is data point
+27932,27932,What is a decomposition analysis
+27933,27933,How was the trend cycle of the classical decomposition calculated
+27934,27934,What is decomposition of time series called
+27935,27935,What is association analysis in data mining
+27936,27936,Is Norm a linear function
+27937,27937,What is a sigma value
+27938,27938,What is a 3 sigma value
+27939,27939,What is the value of 1 standard deviation
+27940,27940,How do you calculate 3 sigma
+27941,27941,What confidence level is 3 sigma
+27942,27942,What is the value of 4 sigma
+27943,27943,Is 7 Sigma possible
+27944,27944,What percent is 4 sigma
+27945,27945,Is Six Sigma plus or minus 3 sigma
+27946,27946,What percentage is 6 Sigma
+27947,27947,What is a good sigma level
+27948,27948,What is a good Six Sigma score
+27949,27949,How do you interpret Sigma levels
+27950,27950,Is a machine learning model an algorithm
+27951,27951,What are the two requirements for a random variable
+27952,27952,Is accuracy a loss function
+27953,27953,Are decision trees prone to overfitting
+27954,27954,Is scaling required for decision tree
+27955,27955,How do you evaluate a decision tree model
+27956,27956,How do you calculate distribution variance
+27957,27957,How do you derive the variance of a binomial distribution
+27958,27958,How do you find the variance of a binomial distribution in Excel
+27959,27959,What is the difference between recursion and non recursion
+27960,27960,What is recursive and non recursive system
+27961,27961,What is the unbiased estimator of population mean
+27962,27962,What is the point estimator of the population variance
+27963,27963,How do you estimate the population mean
+27964,27964,What is the difference between population variance and estimated population variance
+27965,27965,What is the point estimate of the population variance
+27966,27966,What is the area under ROC curve
+27967,27967,How do you find the optimal threshold of a ROC curve
+27968,27968,What is sampling PDF
+27969,27969,What is a sample in machine learning
+27970,27970,Why is sampling useful in machine learning
+27971,27971,What are the different types of sampling
+27972,27972,What is sampling discuss steps and types of sampling
+27973,27973,What is data sampling
+27974,27974,What did we call the sampling method of big data
+27975,27975,Is XGBoost supervised or unsupervised
+27976,27976,What is the purpose of predictive analytics
+27977,27977,How do you know if something is causation or correlation
+27978,27978,How do you know if something is correlated
+27979,27979,How is correlation like causation
+27980,27980,How do you establish causation in statistics
+27981,27981,How can you prevent a decision tree from Overfitting
+27982,27982,How can we stop random forest Overfitting
+27983,27983,Which of the following is the equation for determining an expected value
+27984,27984,How do you explain convenience sampling
+27985,27985,What is the difference between convenience sampling and random sampling
+27986,27986,Why is random sample better than convenience sample
+27987,27987,Which type of sampling is more accurate
+27988,27988,What is the difference between convenience and random sampling
+27989,27989,Is convenience a sampling representative
+27990,27990,Why is convenience sampling bias
+27991,27991,What is the disadvantage of convenience sampling
+27992,27992,Why is it called unscented Kalman filter
+27993,27993,What is an example of a correlational study
+27994,27994,What is receptive field in eye
+27995,27995,Why are random samples important in statistics
+27996,27996,What does randomness mean
+27997,27997,Is hierarchical clustering good for huge data
+27998,27998,What are some reasons for a false positive pregnancy test
+27999,27999,Is positive percent agreement the same as sensitivity
+28000,28000,What is mean by moving average
+28001,28001,How do you do moving averages
+28002,28002,What is moving average in Excel
+28003,28003,On which type of data does the regression model works
+28004,28004,What is regression analysis and why should I use it
+28005,28005,What is regression analysis when would you use it what is the difference between simple regression and multiple regression
+28006,28006,Does discrete data have a continuous scale
+28007,28007,How do you make continuous data
+28008,28008,What does it mean for data to be continuous
+28009,28009,What makes data discrete or continuous
+28010,28010,How do you solve a log square
+28011,28011,Is logarithmic the same as square root
+28012,28012,What is the value of log2
+28013,28013,What does log2 mean
+28014,28014,Is log2 the same as log
+28015,28015,Is log base 10 or base 2
+28016,28016,What is log to the base 2
+28017,28017,What are the jobs in artificial intelligence
+28018,28018,How do you increase location accuracy
+28019,28019,How do you correct your location
+28020,28020,Which type of system response to its input represents the zero value of its initial condition
+28021,28021,What is discrete time system
+28022,28022,Which of the following system represent recursive discrete system
+28023,28023,How do you train a predictive model
+28024,28024,Can you have two meta description tags
+28025,28025,What is the opposite of Unequalled
+28026,28026,What is the opposite of discrimination
+28027,28027,What is the opposite of lowly
+28028,28028,What is value iteration in reinforcement learning
+28029,28029,What is the difference between value iteration and policy iteration methods in reinforcement learning
+28030,28030,Is value iteration model based
+28031,28031,What is validation set error
+28032,28032,What is sequential search and binary search
+28033,28033,Is sequential search and linear search same
+28034,28034,What is selection sort in algorithm
+28035,28035,What is correlation in image processing
+28036,28036,What is spatial convolution
+28037,28037,What is considered a good Kappa score
+28038,28038,How does Overfitting affect predictions
+28039,28039,What is the purpose of activation
+28040,28040,What is the difference between covariation and correlation
+28041,28041,What covariance matrix tells us
+28042,28042,What does correlation matrix tell you
+28043,28043,What is covariance in statistics
+28044,28044,What is variance and covariance in statistics
+28045,28045,What is a one way chi square test
+28046,28046,What is the null hypothesis for a two way chi square test
+28047,28047,What is the x2 value in Chi Square
+28048,28048,Which of the following is a key difference between a chi square test of independence and an independent samples t test
+28049,28049,Why does the test for homogeneity follow the same procedures as the test for independence
+28050,28050,What is the application of chi square test
+28051,28051,What is the meaning of chi square test
+28052,28052,What does inference mean in the context of ML and DL
+28053,28053,Which of the following is an application of the edit distance problem
+28054,28054,Is the correlation coefficient The gradient of the regression line
+28055,28055,Is coefficient the same as slope
+28056,28056,Do correlation and slope have the same sign
+28057,28057,Is regression coefficient and correlation coefficient the same
+28058,28058,Is alteryx a data visualization tool
+28059,28059,How do you test machine learning
+28060,28060,What is the purpose of testing in machine learning
+28061,28061,How do you measure ML
+28062,28062,What is machine machine learning
+28063,28063,What is Bayes risk
+28064,28064,Who developed loss function
+28065,28065,What does estimation mean
+28066,28066,What is meant by estimate in statistics
+28067,28067,Why Random Forest classifier is called an ensemble method
+28068,28068,Can random forest be used for clustering
+28069,28069,How do you create an ensemble model
+28070,28070,How do you say Bayesian
+28071,28071,How does excel calculate variance
+28072,28072,What is the symbol for sample variance in statistics
+28073,28073,What is the variance in statistics
+28074,28074,Does sigma mean variance
+28075,28075,How do you represent variance
+28076,28076,What does a variance test tell you
+28077,28077,How do you get the variance
+28078,28078,What is equal variance in statistics
+28079,28079,How do you know if population variances are equal
+28080,28080,Is machine learning part of data mining
+28081,28081,What is the relationship between AI and data mining
+28082,28082,Is data mining part of machine learning
+28083,28083,What is machine learning approach in data mining
+28084,28084,What actually happens in the Matrix
+28085,28085,In what order do I watch the Matrix
+28086,28086,How do you disprove a null hypothesis
+28087,28087,What is Fisher's exact test SPSS
+28088,28088,What are the two ethical theories
+28089,28089,What is the difference between descriptive and normative claims
+28090,28090,What is the difference between descriptive and prescriptive normative ethics
+28091,28091,What is the difference between univariate and multivariate Anova
+28092,28092,When would you use Anova in data analysis
+28093,28093,Why is regression to the mean important
+28094,28094,What is fallacy examples
+28095,28095,What are the properties of knowledge
+28096,28096,What is not a property of knowledge representation
+28097,28097,What does the standard score tell you
+28098,28098,What is a high t statistic
+28099,28099,What is binning in photography
+28100,28100,What is pixel binning in camera
+28101,28101,Why is the mean 0 and the standard deviation 1
+28102,28102,What is the z score of any mean
+28103,28103,What is considered a good Z score
+28104,28104,How is Z score related to standard deviation
+28105,28105,How do you find the Z score when given the mean and standard deviation on a TI 84
+28106,28106,What are the methods used for data reduction in data mining
+28107,28107,What is the purpose of applying a data reduction
+28108,28108,What is data reduction in qualitative research
+28109,28109,What is data reduction algorithm
+28110,28110,Which method is suitable for data reduction
+28111,28111,Which of the following method is used for data reduction
+28112,28112,What is an NLP engine
+28113,28113,How do you use exponential decay equation
+28114,28114,How do you write an exponential decay model
+28115,28115,How do you find exponential growth or decay
+28116,28116,How do you find exponential decay
+28117,28117,What is the decay rate formula
+28118,28118,What is the decay equation
+28119,28119,How do you calculate decay rate in Excel
+28120,28120,What does decay rate mean
+28121,28121,What is the meaning of absolute deviation
+28122,28122,How do you find the absolute deviation
+28123,28123,What is the difference between standard deviation and mean absolute deviation
+28124,28124,Why is a large dataset better
+28125,28125,How do large data sets work
+28126,28126,Where can I find large datasets
+28127,28127,Does OCR use machine learning
+28128,28128,Is OCR considered AI
+28129,28129,Does OCR use neural networks
+28130,28130,What binned means
+28131,28131,Which is the dependent variable in a function
+28132,28132,What is high pass filter in image processing
+28133,28133,What does a high pass filter do
+28134,28134,How do you describe population in statistics
+28135,28135,How do you tell if a population is normally distributed
+28136,28136,What is the population distribution in statistics
+28137,28137,Why is population distribution important
+28138,28138,What is a filter in machine learning
+28139,28139,What is filters in CNN
+28140,28140,How do I select a filter on CNN
+28141,28141,What statistical analysis should I use for questionnaires
+28142,28142,Which statistical test should I use SPSS
+28143,28143,What is the explanatory variable and the response variable
+28144,28144,What is the difference between a response variable and an explanatory variable quizlet
+28145,28145,What are random signals
+28146,28146,Why random signals are used in simulation
+28147,28147,What is random variable in signal and system
+28148,28148,How is sample variance different from population variance
+28149,28149,What is meant by KNN algorithm
+28150,28150,Which variable is likely the explanatory variable and which is the response variable
+28151,28151,What does an explanatory variable mean
+28152,28152,What is the explanatory variable in an observational study
+28153,28153,Which variable is also known as an explanatory variable
+28154,28154,How does Gaussian process work
+28155,28155,What is embedding in Python
+28156,28156,What is embedding in neural networks
+28157,28157,What is embedding layer in CNN
+28158,28158,How do you find the probability in a frequency table
+28159,28159,What is training error in decision tree
+28160,28160,What are the issues in decision tree induction in machine learning
+28161,28161,How do you find the independent variable in logistic regression
+28162,28162,Can a dependent variable be binary
+28163,28163,What is a binary logistic regression
+28164,28164,What are the independent variables used in the modeling
+28165,28165,What is smoothing filter
+28166,28166,What is voting classifier in machine learning
+28167,28167,What is majority voting in machine learning
+28168,28168,What is bagging and pasting
+28169,28169,How do you build ensemble models in machine learning
+28170,28170,What makes a matrix linear
+28171,28171,What is the use of Matrix in real life
+28172,28172,Why do we use Matrix
+28173,28173,What is the purpose of matrices
+28174,28174,How does a matrix look like
+28175,28175,How do you classify a matrix
+28176,28176,How is global pooling average used
+28177,28177,What does bimodal distribution tell us
+28178,28178,Which of the following are active learning strategies
+28179,28179,What are the learning strategy
+28180,28180,What is an example of a univariate time series
+28181,28181,What is a multivariate time series
+28182,28182,Why is Knn nonlinear
+28183,28183,Is Knn a regression model
+28184,28184,Is Random Forest a linear classifier
+28185,28185,Is K nearest neighbors a supervised machine learning algorithm
+28186,28186,What is the singularity in AI
+28187,28187,What is considered a good R squared value
+28188,28188,What is a good R squared value in regression
+28189,28189,What's another word for dimensional analysis
+28190,28190,What is another name for analysis
+28191,28191,What does Box's M test mean
+28192,28192,What is discriminant data
+28193,28193,What is a scalar or a vector
+28194,28194,What is scalar quantity give two examples
+28195,28195,Is an Anova a GLM
+28196,28196,What is linear model in Anova
+28197,28197,Can a normal distribution have two modes
+28198,28198,Can bimodal distribution be skewed
+28199,28199,How do you find equal variance
+28200,28200,What does it mean when variances are equal
+28201,28201,Does Data Transformation reduce variance
+28202,28202,What is the naive Bayes assumption
+28203,28203,What is naive in the naive Bayes classifier
+28204,28204,What does a sampling distribution of the sample mean tell us
+28205,28205,What is pattern in ML
+28206,28206,What is pattern in data
+28207,28207,What is isotropic tensor
+28208,28208,What is Delta Matrix
+28209,28209,What is the Dirac delta function used for
+28210,28210,What is a Delta Matrix
+28211,28211,What is Dirac delta function in physics
+28212,28212,What generation is related to AI
+28213,28213,Which generation computers are based on artificial intelligence
+28214,28214,What are visualization techniques
+28215,28215,What is data visualization used for
+28216,28216,What is visualization techniques
+28217,28217,What are the tools and techniques for data Visualisation
+28218,28218,What are the types of data Visualisation
+28219,28219,What is visualization explain
+28220,28220,What is the best way to compare two sets of data
+28221,28221,How do you know if two sets of data are statistically different
+28222,28222,How do you compare two groups in statistics
+28223,28223,How do you compare two test methods
+28224,28224,How do I match two data frames in R
+28225,28225,How are algorithms used in real life
+28226,28226,What is an algorithm and why is it important
+28227,28227,What is the importance of algorithms
+28228,28228,What does sampling distribution tell us
+28229,28229,Why is sampling distribution important in statistical inference
+28230,28230,What is Gamma in reinforcement learning
+28231,28231,What is Alpha in Q learning
+28232,28232,Why do we control variables in an experiment
+28233,28233,Which of the following is a characteristic of a multinomial experiment
+28234,28234,Is D DX a Hermitian operator
+28235,28235,Are residuals correlated
+28236,28236,What are the characteristics of residuals
+28237,28237,What is the mathematical tool that expresses a measure of the efficiency of algorithms
+28238,28238,What are the features of an efficient algorithm explain with an example
+28239,28239,What is the features of algorithm
+28240,28240,How do you calculate the mode of grouped data
+28241,28241,What if there are two modes in grouped data
+28242,28242,What is nonuniform quantization
+28243,28243,What are the advantages of non uniform quantizer over uniform quantizer
+28244,28244,Why do we use non uniform quantization
+28245,28245,Why non uniform quantization is needed
+28246,28246,Is quantization linear
+28247,28247,What are two types of quantization errors
+28248,28248,What is KNN classifier in image processing
+28249,28249,What is meant by KNN
+28250,28250,Does simple random sampling require a frame
+28251,28251,What is H Null
+28252,28252,How is sense defined in WordNet
+28253,28253,How is the MMSE test scored
+28254,28254,How do you find the CDF of a uniform distribution
+28255,28255,What is the CDF of a uniform distribution
+28256,28256,How do you sample a Gaussian distribution in Python
+28257,28257,How do you find class boundaries
+28258,28258,How do you find the mode of a bimodal distribution
+28259,28259,Is sample proportion unbiased
+28260,28260,What makes a statistic unbiased
+28261,28261,Why is standard deviation a biased estimator
+28262,28262,How do you use the empirical rule
+28263,28263,How do you use the empirical rule to solve problems
+28264,28264,When can the empirical rule be applied
+28265,28265,Do all normal distributions follow the empirical rule
+28266,28266,Why does the empirical rule only work for data with normal distribution
+28267,28267,How do you use the empirical rule with mean and standard deviation
+28268,28268,Does the empirical rule apply to all data distributions
+28269,28269,On which population distributions can the empirical rule be used
+28270,28270,Why does sample size affect P value
+28271,28271,Does increasing sample size increase P value
+28272,28272,What causes a lower P value
+28273,28273,Can a random variable be independent of itself
+28274,28274,How do you determine if a variable is independent or dependent
+28275,28275,When can you use Fisher's exact test
+28276,28276,What is Fisher exact test in statistics
+28277,28277,What is multiplicative law
+28278,28278,Why is probability multiplied
+28279,28279,What is state of art in machine learning
+28280,28280,What is state of art in AI
+28281,28281,What is SOTA machine learning
+28282,28282,How does convolutional neural network works
+28283,28283,What is shallow CNN
+28284,28284,When were Bayesian statistics invented
+28285,28285,When was Bayes theorem invented
+28286,28286,Who developed Bayes Theorem
+28287,28287,What is Bayes theorem and why is it important in machine learning
+28288,28288,Is PCA cluster analysis
+28289,28289,Is the 11 plus an IQ test
+28290,28290,What is post processing in image processing
+28291,28291,What happens to standard error when sample size increases
+28292,28292,What happens to standard deviation when sample size doubles
+28293,28293,What will happen to the standard error if the sample size is quadrupled in a normal population
+28294,28294,Does sampling error increase with sample size
+28295,28295,How do you reduce standard error
+28296,28296,What 3 items affect the margin of error of a confidence interval
+28297,28297,What sample size is needed for normal distribution
+28298,28298,Are neural networks Parametric
+28299,28299,Why is it so important to have control variables
+28300,28300,How do you know if an interaction term is significant
+28301,28301,Can you have a significant interaction without main effect
+28302,28302,What does a statistically significant interaction mean
+28303,28303,What do you do if the interaction effect is significant
+28304,28304,What do you mean by partitioning method
+28305,28305,How do you find n binomial distribution
+28306,28306,What is P and Q in binomial distribution
+28307,28307,How do you calculate P in binomial distribution
+28308,28308,How do you find P and Q in probability
+28309,28309,What does R stand for in probability
+28310,28310,What does the C mean in binomial distribution
+28311,28311,What does P represent in a binomial distribution
+28312,28312,How do you calculate binomial probability in R
+28313,28313,What is the argument form known as Modus Ponens
+28314,28314,Which is the tautology form of modus ponens rule
+28315,28315,What is the benefit of unsupervised learning
+28316,28316,How do you do univariate and multivariate analysis in SPSS
+28317,28317,How do you find the mean median and mode of grouped data
+28318,28318,What is the formula to find mean median and mode
+28319,28319,When should mean median and mode be used
+28320,28320,What does mean median and mode tell us
+28321,28321,What does logistic mean in math
+28322,28322,How do you solve logistic functions
+28323,28323,What is the equation for logistic growth
+28324,28324,What exactly is moment of inertia
+28325,28325,What is moment of inertia and its unit
+28326,28326,What is meant by moment of inertia 4 pts
+28327,28327,What is a Class A IP address
+28328,28328,What is class ABCD in networking
+28329,28329,What are the classification of IP address
+28330,28330,What is IP address and its types
+28331,28331,What is IP explain
+28332,28332,What are the problems of data collection
+28333,28333,Why is data mining dangerous
+28334,28334,What are the pros and cons of data mining
+28335,28335,What are the cons of data mining
+28336,28336,What are the benefits of data mining
+28337,28337,Is log a linear operator
+28338,28338,What type of function is log
+28339,28339,Is logarithmic linear
+28340,28340,How do I know if a function is linear
+28341,28341,Is logistic regression generative or discriminative
+28342,28342,How do you identify bias
+28343,28343,What is the meaning of Quanta
+28344,28344,Is logarithms part of calculus
+28345,28345,What type of math is logarithm
+28346,28346,What is classification problem in data mining
+28347,28347,What is regression and classification problem
+28348,28348,What is the difference between classification and regression problems
+28349,28349,What are regression problems
+28350,28350,What is classification in deep learning
+28351,28351,Why do we use at test instead of Az test
+28352,28352,What is at test and when is it used
+28353,28353,What are the typical situations for using non parametric tests
+28354,28354,What are the advantages of nonparametric tests
+28355,28355,Which is true for a binomial distribution
+28356,28356,What is the main difference between binomial distribution and Poisson distribution
+28357,28357,Which type of algorithm is Perceptron
+28358,28358,What is Perceptron training algorithm
+28359,28359,What is the main difference between a ratio variable and an interval variable
+28360,28360,What is the difference between nominal ordinal interval and ratio
+28361,28361,How do you find the ratio scale
+28362,28362,Are scales ordinal or interval
+28363,28363,What is meant by a stratified sample
+28364,28364,What is the difference between a cluster and a strata
+28365,28365,How do you test the association between two categorical variables
+28366,28366,How do you find the correlation coefficient in Python
+28367,28367,What is non continuous variable
+28368,28368,What is H in Kruskal Wallis test
+28369,28369,What is localization in artificial intelligence
+28370,28370,What is image localization
+28371,28371,What other techniques are used in multi class classification
+28372,28372,Why do we use at distribution
+28373,28373,How are the t distribution and the normal distribution similar
+28374,28374,When would it be appropriate to use the t distribution to build a confidence interval
+28375,28375,How do you find the paired t test
+28376,28376,What is a paired t test example
+28377,28377,How do you use data to make decisions
+28378,28378,What is data decision making
+28379,28379,How does big data improve decision making
+28380,28380,What is the importance of data
+28381,28381,What are the roles of data analyst
+28382,28382,Whats the meaning of data
+28383,28383,What is analytics decision making
+28384,28384,What is analysis and decision making
+28385,28385,What is the variance of a distribution of z scores
+28386,28386,How do you find the mean of Z scores
+28387,28387,How do you find the z score with the mean and variance
+28388,28388,When a distribution is positively skewed
+28389,28389,How do you know if it is positively skewed
+28390,28390,How do we know if a distribution has a positive or negative skew
+28391,28391,How do you calculate positive skewness
+28392,28392,What causes skewness in a distribution
+28393,28393,How are tensors used in machine learning
+28394,28394,How do you evaluate ROC
+28395,28395,What is ROC number
+28396,28396,What is bivariate regression
+28397,28397,What is polynomial regression Why do we use it
+28398,28398,What is the difference between simple linear regression and correlation
+28399,28399,What is the difference between Anova and multiple regression
+28400,28400,Why is the law of large numbers
+28401,28401,What is the difference between two way Anova and factorial Anova
+28402,28402,What is another name for a two way Anova
+28403,28403,Is a factorial Anova the same as a two way Anova
+28404,28404,Why is a one way Anova used
+28405,28405,What is one way Anova with example
+28406,28406,What does P value of 0.4 mean
+28407,28407,Is P value of 0.02 Significant
+28408,28408,How do we calculate probabilities
+28409,28409,How do you find the probability of a logistic regression in R
+28410,28410,What is spectral clustering used for
+28411,28411,What is SSE in K means clustering
+28412,28412,How do you do an F test
+28413,28413,Is clinical significance the same as statistical significance
+28414,28414,What is significant and non significant
+28415,28415,What is correlated and non correlated subquery
+28416,28416,How do you prove a Markov chain is irreducible
+28417,28417,How do I know if my Markov chain is absorbing
+28418,28418,Is DFT and FFT same
+28419,28419,What is difference between DFT and Idft
+28420,28420,What does bootstrapped mean
+28421,28421,What does it mean to bootstrap data
+28422,28422,How can Descriptive statistics be defined quizlet
+28423,28423,What is descriptive vs inferential statistics
+28424,28424,What is descriptive statistics PDF
+28425,28425,What is the relationship between the linear correlation coefficient r and the slope b1 of a regression line quizlet
+28426,28426,What is the relationship between the linear correlation coefficient r and the slope be one of a regression line
+28427,28427,What is the relationship between regression coefficient and correlation coefficient
+28428,28428,What is the connection between the sign of r and the slope of the line of best fit
+28429,28429,What is the relationship between beta and correlation
+28430,28430,What is the difference between R and beta
+28431,28431,What is the relationship between the linear correlation coefficient r and the slope b of a regression line
+28432,28432,What is the relationship between R and R2
+28433,28433,What is the difference between correlation coefficient and R2
+28434,28434,What's the difference between R and R Squared
+28435,28435,How do you find K in statistics
+28436,28436,What is the value of k in Chebyshev's theorem
+28437,28437,How do you use Chebyshev's inequality
+28438,28438,How does Chebyshev theorem work
+28439,28439,How do you deploy deep learning models
+28440,28440,How are machine learning models deployed
+28441,28441,What is a log in statistics
+28442,28442,Why is log used in statistics
+28443,28443,What does a log mean
+28444,28444,How do you find log in statistics
+28445,28445,What does a statistician do
+28446,28446,What does experimental probability mean in math examples
+28447,28447,Why there is a difference between theoretical and experimental results
+28448,28448,What is the difference between theory and experiment
+28449,28449,What are the main differences between theoretical and experimental probability
+28450,28450,Why are experimental values lower than theoretical
+28451,28451,How do you find the theoretical probability of rolling a 2
+28452,28452,What is a experimental probability in math
+28453,28453,What is machine learning knowledge
+28454,28454,What is the range of values taken by a Bernoulli random variable
+28455,28455,What is the parameter of Bernoulli distribution
+28456,28456,How do you calculate the expected value of two independent variables
+28457,28457,Why is logarithm useful
+28458,28458,How do you perform a linear regression
+28459,28459,How do you calculate linear regression line
+28460,28460,What are the 3 anomalies
+28461,28461,How do you identify anomaly
+28462,28462,What is an anomaly or outlier
+28463,28463,How do you find an anomaly in a distribution
+28464,28464,What is the P value in context
+28465,28465,What is p value in linear regression
+28466,28466,How do you find the p value in Excel regression
+28467,28467,What is a typical P value
+28468,28468,Can we do better than convolutional neural networks
+28469,28469,Is NLP a type of machine learning
+28470,28470,Which is better NLTK or spaCy
+28471,28471,Where can NLP be used
+28472,28472,Which string matching algorithm is based on hashing technique
+28473,28473,What is P in Poisson distribution
+28474,28474,How do you find the p value of distribution
+28475,28475,How do you find the data in a Poisson distribution
+28476,28476,How do you plot a frequency distribution graph
+28477,28477,What is a cumulative frequency plot in statistics
+28478,28478,How do you construct a cumulative frequency curve
+28479,28479,How do you plot a frequency distribution
+28480,28480,What graph is used for frequency distribution
+28481,28481,Are graphs used to represent frequency distribution
+28482,28482,How do you measure skewness and kurtosis
+28483,28483,What does skew mean in statistics
+28484,28484,What causes a distribution to be skewed left
+28485,28485,What is standardized residuals in regression
+28486,28486,Why do we standardize residuals
+28487,28487,What is the mean of residuals
+28488,28488,What is residual error formula
+28489,28489,What are the key elements of AI
+28490,28490,How do I know what my independent variable is
+28491,28491,What is IV and DV examples
+28492,28492,What is the independent variable in an equation
+28493,28493,What is System Dynamic Modeling
+28494,28494,What are nonparametric techniques
+28495,28495,How do you calculate loss in deep learning
+28496,28496,What is the null hypothesis significance testing
+28497,28497,What is a good reason for starting a hypothesis test with H0
+28498,28498,What is a null hypothesis significance test
+28499,28499,Is the null hypothesis what you are trying to prove
+28500,28500,What does it mean if your test result is statistically significant quizlet
+28501,28501,How do you determine if a result is statistically significant
+28502,28502,Which of the following is the major difference between the t statistic formula and the Z score formula
+28503,28503,What is the difference between the standard normal Z test statistics and the t test statistic
+28504,28504,What is the difference between z scores and t scores
+28505,28505,What is a high adjusted R squared
+28506,28506,Is the decision boundary formed by a decision tree is always linear
+28507,28507,What is time series forecasting technique
+28508,28508,What does Multilayer Perceptron mean
+28509,28509,Is exponential the same as logarithmic
+28510,28510,What is the difference between exponential and logarithmic growth
+28511,28511,What is difference between linear and logarithmic scale
+28512,28512,What is the end behavior of a logarithmic function
+28513,28513,What does data preparation mean
+28514,28514,What are the steps to make a machine learning model
+28515,28515,What are the two types activities in data preparation
+28516,28516,What is stratification analysis
+28517,28517,What is stratification in auditing
+28518,28518,How do you use stratified random sampling
+28519,28519,How do you explain stratified sampling
+28520,28520,Why do you use stratified random sampling
+28521,28521,What kind of data is categorical
+28522,28522,How do you represent categorical data
+28523,28523,What is LSA used for
+28524,28524,Can you get the mean from a box plot
+28525,28525,What does a negatively skewed box plot mean
+28526,28526,What does it mean if a Boxplot is skewed
+28527,28527,What information Cannot be found in a box plot
+28528,28528,Which information can you obtain from a Boxplot but not from a histogram
+28529,28529,What does a Stemplot show that a Boxplot does not
+28530,28530,Can you find standard deviation from Boxplot
+28531,28531,What is data interpolation
+28532,28532,What does bivariate correlation mean
+28533,28533,What's the difference between stratified and multistage sample
+28534,28534,What is deviation and variance
+28535,28535,What is the variance of a variable
+28536,28536,How do you interpret R and R Squared
+28537,28537,What does Beta and R Squared mean
+28538,28538,Should I report R Squared or adjusted R squared
+28539,28539,When reporting a regression should R or R 2
+28540,28540,Why is R Squared better than R
+28541,28541,How do you select K value in K means clustering
+28542,28542,What is elbow method in Knn
+28543,28543,How do you choose the best K for K means
+28544,28544,What does a binomial look like
+28545,28545,What are the basic assumptions of Anova
+28546,28546,What are the assumptions of two way Anova
+28547,28547,Is a two way Anova a factorial Anova
+28548,28548,What is a factorial Manova
+28549,28549,What are the assumptions in analysis of variance
+28550,28550,What are the types of classifiers
+28551,28551,What is classifier model
+28552,28552,What are different data mining classifiers
+28553,28553,What is model generalization
+28554,28554,When was the chaos theory created
+28555,28555,Who discovered chaos theory
+28556,28556,What is the number for chaos
+28557,28557,What is chaos theory in sociology
+28558,28558,Is normality required for linear regression
+28559,28559,What problems do neural networks solve
+28560,28560,How do you debug a neural network
+28561,28561,How do I test a neural network
+28562,28562,How do you train a model in deep learning
+28563,28563,How do you validate a deep learning model
+28564,28564,How do linear regression predict stock prices
+28565,28565,Can we use MSE for classification
+28566,28566,Is a lower mean squared error better
+28567,28567,Which is better TensorFlow or Scikit learn
+28568,28568,Which situation can be considered a binomial experiment
+28569,28569,Why would researchers need to include multiple independent variables in a regression
+28570,28570,What is multiple correlation in statistics
+28571,28571,What are the two limits of multiple correlation coefficient
+28572,28572,What is lambda in Lasso
+28573,28573,How do you choose lambda for ridge regression
+28574,28574,What is model loss in keras
+28575,28575,Can machine learning extrapolate
+28576,28576,Can neural networks Overfit
+28577,28577,How do you do logistic regression in R
+28578,28578,How do you run a regression in R
+28579,28579,What is the correct equation used for logistic regression
+28580,28580,How do you predict logistic regression in R
+28581,28581,How do you know if a function is a probability density function
+28582,28582,What are the conditions of probability distribution
+28583,28583,Why is it called probability mass function
+28584,28584,What is a good learning rate for gradient descent
+28585,28585,What determines spectral resolution
+28586,28586,What is meant by frequency resolution
+28587,28587,How is FFT bin size calculated
+28588,28588,What are frequency bins
+28589,28589,What is FFT resolution
+28590,28590,How do you increase the frequency resolution of FFT
+28591,28591,What is FFT and its advantages
+28592,28592,How do you calculate normalized mean square error
+28593,28593,What does it mean to normalize a value
+28594,28594,What are advantages of robots
+28595,28595,Can the mean of a discrete random variable be negative
+28596,28596,Which are properties of a random variable
+28597,28597,What are clusters in big data
+28598,28598,What are the effects of selection bias
+28599,28599,What is the problem with a biased sample
+28600,28600,What does selection bias do to a sample
+28601,28601,What is bias in a sampling method
+28602,28602,Does the survey suffer from sampling bias Why or why not
+28603,28603,How do you reduce sampling bias
+28604,28604,What is the difference between sampling error and bias
+28605,28605,Why is sampling bias a problem
+28606,28606,What is bias error
+28607,28607,What is the sign of Delta S for the reaction
+28608,28608,When Delta H is positive and Delta S is positive
+28609,28609,What is the difference between Delta H and Delta S
+28610,28610,What is the delta G
+28611,28611,What happens to Delta G when Delta S goes up
+28612,28612,What happens when Delta H and Delta S are both negative
+28613,28613,What are the reasons for outliers
+28614,28614,How are outliers determined
+28615,28615,What makes data an outlier
+28616,28616,What are reasons to remove an outlier from a data set
+28617,28617,What happens when data is skewed to the right
+28618,28618,How do you fix right skewed data
+28619,28619,How do you represent skewed data
+28620,28620,What does it mean when data is skewed to the right
+28621,28621,When the data is skewed to the right the measure of skewness will be
+28622,28622,What is the aim of the neural networks
+28623,28623,What is the relationship between naïve Bayes and Bayesian networks
+28624,28624,Why naïve Bayesian classification is called naïve
+28625,28625,Is naive Bayes a statistical classifier
+28626,28626,What is the meaning of naive in naive Bayes classifier
+28627,28627,Why is naïve Bayesian classification called naïve briefly outline the major ideas of naïve Bayesian classification
+28628,28628,What do you mean by multivariate techniques explain their significance
+28629,28629,What is an acceptable margin of error for a survey
+28630,28630,What is margin error in survey
+28631,28631,What is regression variance
+28632,28632,How do you calculate the regression coefficient
+28633,28633,What is variation in regression
+28634,28634,How do you calculate regression analysis
+28635,28635,What is a regression model in statistics
+28636,28636,What is conditional probability in AI
+28637,28637,What is probability formula
+28638,28638,Is linear regression causal
+28639,28639,What is continuous regression
+28640,28640,Is linear regression a correlation
+28641,28641,Why do we use BFS and DFS
+28642,28642,What are the advantages of depth first search
+28643,28643,What is the difference between descriptive and prescriptive analytics
+28644,28644,What is the difference between descriptive and predictive analytics
+28645,28645,What is descriptive analysis in big data
+28646,28646,What is descriptive data analytics
+28647,28647,What is the difference between data and DataSet
+28648,28648,What is difference between DataTable and DataSet
+28649,28649,What is dataset with example
+28650,28650,What is a dataset in statistics
+28651,28651,What are the types of datasets
+28652,28652,What is the difference between data and dataset
+28653,28653,How do you load a dataset in TensorFlow
+28654,28654,How do I load a dataset in machine learning
+28655,28655,How do I import a CSV file into TensorFlow
+28656,28656,What do you mean by frequency in statistics
+28657,28657,What is the purpose of frequency in statistics
+28658,28658,What are types of statistical tests
+28659,28659,What is a statistical test in research
+28660,28660,What is a valid probability distribution
+28661,28661,What are shrinkage methods
+28662,28662,What is Hebb's rule learning
+28663,28663,What is range of learning parameter alpha in Adaline network
+28664,28664,Which is more important to you in the case of machine learning model model accuracy or model performance
+28665,28665,What does interval scale mean
+28666,28666,What is the interval scale of measurement
+28667,28667,What does interval scale mean in statistics
+28668,28668,What is an interval or ratio scale
+28669,28669,How do you measure interval data
+28670,28670,What is an interval scale question
+28671,28671,Can interval scales be computed
+28672,28672,What is interval scale and ratio scale
+28673,28673,What is the difference between deep learning and machine learning
+28674,28674,What is feature engineering in deep learning
+28675,28675,What does a bimodal distribution tell you
+28676,28676,How many modes does a bimodal distribution have
+28677,28677,Is a bimodal distribution skewed
+28678,28678,What is a good sum of squares value
+28679,28679,What should the sum of residuals be
+28680,28680,What does it mean if data is biased
+28681,28681,What does biased sample mean in math
+28682,28682,What is the difference between unbiased and biased
+28683,28683,What is unbiased in statistics
+28684,28684,What is a good Wppsi score
+28685,28685,What is the average IQ score on the Wechsler Intelligence Test
+28686,28686,Do you need to standardize data for linear regression
+28687,28687,Why is Standardisation used
+28688,28688,What type of data is discrete
+28689,28689,What is the difference between discrete and continuous system
+28690,28690,What is an example of discrete quantitative data
+28691,28691,Which of the following is an example of discrete data
+28692,28692,What is meant by discrete data give example
+28693,28693,Why is class imbalance a problem
+28694,28694,What is data imbalance
+28695,28695,Why is p value adjusted
+28696,28696,Why do we want a smaller p value
+28697,28697,How can we create a set of rules based on a decision tree
+28698,28698,How do you extract rules from the decision tree
+28699,28699,What are the rules that govern decision trees
+28700,28700,What does standard error of measurement mean
+28701,28701,What does unimodal look like
+28702,28702,What is bimodal and unimodal
+28703,28703,What is another name for symmetric distribution
+28704,28704,What is a unimodal curve
+28705,28705,How do you calculate Heisenberg uncertainty
+28706,28706,What is the equation for the Heisenberg Uncertainty Principle
+28707,28707,What does Heisenberg uncertainty principle mean
+28708,28708,How do you find the uncertainty of an instrument
+28709,28709,What is the uncertainty of 2.2 cm
+28710,28710,Why entropy is extensive property
+28711,28711,Is entropy extensive or intensive property
+28712,28712,Why is entropy described as an extensive property
+28713,28713,How do you know if a reaction is pseudo first order
+28714,28714,What is the difference between zero and first order kinetics
+28715,28715,What are the differences between zero order drugs and first order drugs
+28716,28716,What effect does the sample size have on the mean of the sampling distribution of the mean
+28717,28717,What is the standard error of the sampling distribution of the sample mean quizlet
+28718,28718,What does Entropia mean
+28719,28719,What is exponential or logarithmic growth
+28720,28720,Can we use SVM for regression
+28721,28721,What is the formula of mode
+28722,28722,What is the formula of mean median mode of grouped data
+28723,28723,What is the empirical relationship between mean median and mode
+28724,28724,What is the empirical relationship between mean
+28725,28725,What is linear dataset
+28726,28726,How do you check if a dataset is linear or not
+28727,28727,What is naive Bayes technique
+28728,28728,What is NLU engine
+28729,28729,How do you describe cluster analysis
+28730,28730,What is the need for converting a first order filter into a second order filter
+28731,28731,What is the roll off rate in 2nd order low pass filter
+28732,28732,What is second order high pass filter
+28733,28733,What does second order filter mean
+28734,28734,What is the function of a high pass filter
+28735,28735,What is the difference between first order and second order active filters
+28736,28736,What are second order filters
+28737,28737,What do you mean by first order filter
+28738,28738,Why higher order filters are better
+28739,28739,What is Chi Square t test and F test
+28740,28740,What is the point of an F test
+28741,28741,How do you calculate risk and return in Excel
+28742,28742,How do you measure risk management performance
+28743,28743,What is KPI in risk management
+28744,28744,How do you quantify risk management
+28745,28745,What does a Kappa score mean
+28746,28746,Which is the response variable
+28747,28747,What is the explanatory variable in a scatter plot
+28748,28748,How do you determine which variable is the response variable
+28749,28749,What is the difference between data mining and predictive analytics
+28750,28750,What is predictive method
+28751,28751,What is the formula of lambda
+28752,28752,How do you find the Lambda of a wave
+28753,28753,What is λ in statistics
+28754,28754,What does a regression coefficient tell you
+28755,28755,Why do we use coefficients
+28756,28756,What is coefficient and variable
+28757,28757,Which mask is used for detecting isolated points
+28758,28758,How do I identify lines in a photo
+28759,28759,How do I find the lines of an image in Matlab
+28760,28760,What is weighted average vs average
+28761,28761,Where is decision tree used in AI
+28762,28762,What is the use of decision tree technique in cluster analysis
+28763,28763,What is decision tree analysis how it is important in management
+28764,28764,What is Lemmatization in Python
+28765,28765,How do you find the area under a bell curve
+28766,28766,What is the equation for a bell curve
+28767,28767,What is the area under the bell curve of a normal distribution
+28768,28768,What is ACF time series
+28769,28769,How do you solve autocorrelation in time series
+28770,28770,What does an autocorrelation coefficient measure
+28771,28771,How do you find the mean when given the frequency and mid value
+28772,28772,How do you work out the mean from a grouped frequency table
+28773,28773,Should the mean be used for highly skewed distributions
+28774,28774,What happens when a distribution is skewed to the right
+28775,28775,How do you add noise to data
+28776,28776,How do you find the percentile of a frequency distribution
+28777,28777,What is percentile distribution
+28778,28778,What is the 80th percentile of the standard normal distribution
+28779,28779,What is the 80th percentile Z score
+28780,28780,What is the purpose for using confidence intervals in regression forecasting
+28781,28781,What is the confidence interval method
+28782,28782,How do you test for normal distribution
+28783,28783,How do I know if a population is normally distributed
+28784,28784,Is variance a robust measure
+28785,28785,What does robust mean in stats
+28786,28786,What do robust standard errors do
+28787,28787,How do you do chain rule with multiple variables
+28788,28788,Can a function have two derivatives
+28789,28789,What is the formula for finding derivative of a function
+28790,28790,Can you differentiate both sides of an equation
+28791,28791,How do you differentiate an equation with two variables
+28792,28792,How do you differentiate an equation
+28793,28793,Is naive Bayes used for regression
+28794,28794,What are frames in AI
+28795,28795,What is semantic nets in AI
+28796,28796,What are frames How do they differ from semantic nets
+28797,28797,What is the disadvantage of semantic networks
+28798,28798,How do you do Anova analysis
+28799,28799,What are two common hash functions
+28800,28800,What two methods help ensure data integrity
+28801,28801,What are the types of hashing
+28802,28802,What are the different methods of obtaining hash function
+28803,28803,What is mean by real time processing
+28804,28804,What is a real time system with example
+28805,28805,What does in real time mean
+28806,28806,What is real time requirements
+28807,28807,What is non real time
+28808,28808,How many methods of dimensional analysis are there
+28809,28809,What are the three elements needed to set up a calculation for dimensional analysis
+28810,28810,What are the demerits of dimensional analysis
+28811,28811,Why do we need decision trees and decision tables
+28812,28812,What is the difference between theoretical and empirical probability
+28813,28813,What is the difference between experimental theoretical and subjective probabilities
+28814,28814,What is the subjective probability
+28815,28815,When the P value is used for hypothesis testing the null hypothesis is rejected if quizlet
+28816,28816,When the P value is used for hypothesis testing the null hypothesis is not rejected
+28817,28817,At what P value do we reject the null hypothesis
+28818,28818,When the P value is used for hypothesis testing
+28819,28819,How do you interpret the p value in hypothesis testing
+28820,28820,What does P value mean in terms of null hypothesis
+28821,28821,What is the significance of p value and how it helps in taking decision about null hypothesis
+28822,28822,What does statistically significant mean for the null hypothesis
+28823,28823,What does a statistically significant p value mean
+28824,28824,Is categorical data normally distributed
+28825,28825,How do you tell if a variable is normally distributed
+28826,28826,In which of the following applications can we use deep learning to solve the problem *
+28827,28827,Which are common applications of deep learning in artificial intelligence
+28828,28828,When should we use deep learning
+28829,28829,Which of the following library comes with visualization tool for deep learning
+28830,28830,Which libraries stores and communicates data using blobs in deep learning
+28831,28831,Which of these software are used for deep learning
+28832,28832,What are the reasons for deep learning recently taking off
+28833,28833,Which of the following is are limitations of deep learning
+28834,28834,Is text mining part of data mining
+28835,28835,How do you select the null and alternative hypothesis
+28836,28836,What is an advantage of cluster sampling
+28837,28837,What type of learning is classification
+28838,28838,Why is multivariate analysis important
+28839,28839,Why is multivariate analysis better than bivariate
+28840,28840,Where is the dropout layer on CNN
+28841,28841,What does the greedy choice property mean
+28842,28842,What are the two properties of greedy choice in finding optimal solutions
+28843,28843,What is Roberts edge detection
+28844,28844,What is a large variance in statistics
+28845,28845,What is acceptable variance limit
+28846,28846,What is upper class boundary in statistics
+28847,28847,How do you calculate LCB
+28848,28848,How do you calculate lower boundaries
+28849,28849,What is the class boundaries in statistics
+28850,28850,What is the formula for class limit
+28851,28851,What is the lower limit of class interval
+28852,28852,How do you find the lower class limit in a histogram
+28853,28853,What is a real life example of probability
+28854,28854,What are 3 real world uses of probability
+28855,28855,What is probability in real life
+28856,28856,Where do we use probability
+28857,28857,Does Z distribution have a mean of 0
+28858,28858,What does a low z score mean
+28859,28859,What is the mean of AZ score
+28860,28860,What is the mean and standard deviation of the distribution of z scores
+28861,28861,What is the standard deviation of the Z score distribution
+28862,28862,What is the relationship between the Z distribution and the standard deviation
+28863,28863,What is the difference between geometric mean and arithmetic mean
+28864,28864,How do you find the expected monetary value in a decision tree
+28865,28865,How do you calculate a decision tree
+28866,28866,How can decision trees be improved
+28867,28867,What is an optimal decision tree
+28868,28868,Are t distributions normal
+28869,28869,What does the determinant of a matrix tell you
+28870,28870,How are determinants used in real life
+28871,28871,What is determinant method
+28872,28872,What does it mean if the determinant is negative
+28873,28873,What is the use of determinants
+28874,28874,Why do we study determinants
+28875,28875,How do you use determinants to solve properties
+28876,28876,What are the disadvantages of decision trees
+28877,28877,What are the benefits of probability sampling
+28878,28878,How many states are in the Turing machine
+28879,28879,Is a computer a Turing machine
+28880,28880,Is probability sampling biased
+28881,28881,How can you tell if a sample is biased or unbiased
+28882,28882,How does probability sampling reduce bias
+28883,28883,What does uncorrelated mean in statistics
+28884,28884,What is the difference between uncorrelated and independent
+28885,28885,What is the effect of two independent variables that are highly correlated
+28886,28886,What does it mean when 2 variables are correlated
+28887,28887,What do t tests tell us
+28888,28888,Can bagging improve linear regression
+28889,28889,How much time it takes to learn data structures and algorithms
+28890,28890,Should I learn data structures and algorithms for machine learning
+28891,28891,What are the types of agents
+28892,28892,What are 2 types of agencies
+28893,28893,What are learning agents
+28894,28894,Can a normal approximation be used for a sampling distribution of sample means from a population with μ 42 and σ 8 when n 25
+28895,28895,Will the sampling distribution be approximately normal
+28896,28896,What are the conditions for a binomial distribution
+28897,28897,What are the requirements for a binomial experiment
+28898,28898,How do you draw a binomial distribution table
+28899,28899,What is the standard error of estimate in regression analysis
+28900,28900,What is standard error estimate
+28901,28901,How do you find standard error of estimate in multiple regression
+28902,28902,What does a high standard error of estimate mean
+28903,28903,What is the maximum error of estimate
+28904,28904,What is meant by training data
+28905,28905,Why is training data important
+28906,28906,What is test and train data
+28907,28907,Why do we need training and testing data
+28908,28908,What is the difference between test and validation datasets
+28909,28909,Which of the following algorithm is not an example of ensemble learning algorithm
+28910,28910,Is AdaBoost an ensemble method
+28911,28911,What is the difference between correlation and linear regression analysis
+28912,28912,How do you calculate correlation and regression
+28913,28913,How do I merge classes in Arcgis
+28914,28914,Where would it be better to use an unsupervised classification
+28915,28915,How do you do supervised classification
+28916,28916,What does it mean to transform data
+28917,28917,Why do you transform data
+28918,28918,Why do we need data transformation in data mining
+28919,28919,What does transforming data mean
+28920,28920,What does log transformation do to data
+28921,28921,How log normal of skewed data gives better sense of data
+28922,28922,What is the relationship between the signs positive or negative of the slope b and the correlation coefficient r
+28923,28923,How does slope relate to correlation
+28924,28924,What is the function used to generate a random number based on normal distribution in octave
+28925,28925,How do I generate a random number from a normal distribution in R
+28926,28926,How do you calculate percentage uncertainty
+28927,28927,How do you calculate uncertainty
+28928,28928,What is Percent uncertainty formula
+28929,28929,What is definition of uncertainty
+28930,28930,How do you measure uncertainty
+28931,28931,What is the meaning of uncertainty of measurement
+28932,28932,How do you calculate mean uncertainty
+28933,28933,How do you find the best point estimate of the population mean
+28934,28934,How do you find the best point estimate
+28935,28935,What are normal residual plots
+28936,28936,What does a normal PP plot help you to test
+28937,28937,How do you plot a normal probability plot for residuals
+28938,28938,What is regression standardized residual
+28939,28939,What is a Poisson probability distribution
+28940,28940,What is the capacity of a neural network
+28941,28941,What is contingency table in probability and statistics
+28942,28942,How do you explain a confounding variable
+28943,28943,What is a confound in an experimental study
+28944,28944,What is a confounding variable in statistics quizlet
+28945,28945,Why do outliers matter
+28946,28946,What do we do with outliers
+28947,28947,Why should you include outliers
+28948,28948,What does an outlier tell you
+28949,28949,What impact would an outlier have
+28950,28950,What should we do with outliers
+28951,28951,What is mode median and mean
+28952,28952,Why use median over mean in statistics
+28953,28953,Why filters are used in CNN
+28954,28954,What is the mode of a distribution
+28955,28955,How do you find the mode of distribution
+28956,28956,What is a distribution with two modes
+28957,28957,What is mode and its formula
+28958,28958,How do you find the mode of a set of data
+28959,28959,What is the mode if there are two
+28960,28960,What is meant by mode of data
+28961,28961,What does it mean to accept the null hypothesis
+28962,28962,What are characteristics of unstructured data
+28963,28963,Is WhatsApp a source of unstructured data
+28964,28964,Is JSON semi structured data
+28965,28965,Is XML unstructured data
+28966,28966,Is a spreadsheet unstructured data
+28967,28967,What kind of data formats comes under unstructured data
+28968,28968,How do you calculate bins for a histogram
+28969,28969,What are bins in frequency distribution
+28970,28970,How do you find population variance on a calculator
+28971,28971,What is the population variance of the data
+28972,28972,What does the population variance tell us
+28973,28973,Why variance is important in statistics
+28974,28974,What is the point of variance
+28975,28975,Why do we use binary logistic regression
+28976,28976,What is the similarity between observation and inference
+28977,28977,What is the difference between a hypothesis and an inference
+28978,28978,What is the difference between an observation and inference
+28979,28979,How do you use Spearman correlation
+28980,28980,Why do we use Spearman correlation
+28981,28981,What is the purpose of correlation coefficient
+28982,28982,What does an R squared value of 1 mean
+28983,28983,Does LVM affect performance
+28984,28984,What is LVM and its use
+28985,28985,What is difference between LVM and standard partition
+28986,28986,What are agents
+28987,28987,What is an agent in a sentence
+28988,28988,How do agents work
+28989,28989,How do you calculate sampling frequency
+28990,28990,What is sampling rate of a signal
+28991,28991,How do you calculate Nyquist frequency
+28992,28992,Is sampling rate the same as sampling frequency
+28993,28993,What happens when you increase the sampling frequency
+28994,28994,What does sampling rate affect
+28995,28995,Is Anova and t test the same
+28996,28996,Can Anova be used for 2 groups
+28997,28997,What are the three model assumptions required for the results of an analysis of variance to be valid
+28998,28998,What is the another name of quartile deviation
+28999,28999,What's a word for quick learner
+29000,29000,What does it mean to learn fast
+29001,29001,What test assumes normality
+29002,29002,What does a significant chi square statistic tell us
+29003,29003,Is McNemar test parametric or nonparametric
+29004,29004,What does 0.01 significance level mean
+29005,29005,How do you account for non response bias
+29006,29006,How do I calculate sensitivity and specificity
+29007,29007,What is randomisation in an experiment
+29008,29008,What is the randomization method
+29009,29009,What is the principle of randomization
+29010,29010,Why root mean square error is preferred over mean squared error
+29011,29011,What is a good MSE for linear regression
+29012,29012,What are other performance measures for regression problem than MSE RMSE
+29013,29013,What is an acceptable root mean square error
+29014,29014,Who brainwashed kaneki
+29015,29015,Is kaneki a villain
+29016,29016,How do you calculate the AUC of a ROC curve
+29017,29017,What is the difference between intersection and union
+29018,29018,What is error in data communication
+29019,29019,Is random forest better than bagging
+29020,29020,What is interpolation in angular
+29021,29021,What is the use of property binding in angular
+29022,29022,What is the use of component in angular
+29023,29023,What is string in TypeScript
+29024,29024,What is the difference between string and string in angular
+29025,29025,What is difference between string and string in TypeScript
+29026,29026,What is Property binding in angular
+29027,29027,Which one is a numeric data types
+29028,29028,What is numeric data type in MySQL
+29029,29029,What is a numeric answer
+29030,29030,What is a numeric code
+29031,29031,What is machine learning and its benefits
+29032,29032,How do I launch TensorFlow
+29033,29033,How do machine learning models deploy
+29034,29034,How would you train your own object detection with TensorFlow object detection API
+29035,29035,How do you use TensorFlow to detect objects
+29036,29036,How do I train a custom model in TensorFlow
+29037,29037,How do you find sampling units
+29038,29038,What is a sampling unit How is it different from the population element
+29039,29039,What is an audit sampling
+29040,29040,What is audit sampling and justify the purpose of audit sampling
+29041,29041,What are the two specific purposes for which audit sampling is used
+29042,29042,What is sampling audit
+29043,29043,What is sample size in auditing
+29044,29044,What is an adequate sample size
+29045,29045,What is generally the norm for ratio between training and test dataset
+29046,29046,Is there an ideal ratio between a training set and validation set which trade off would you suggest
+29047,29047,How do you calculate least squares regression
+29048,29048,How do you do partial least squares regression in SPSS
+29049,29049,Why do we use variance instead of standard deviation
+29050,29050,What are the uses of variation
+29051,29051,What does variance measure in statistics
+29052,29052,What is standard deviation and why is it useful
+29053,29053,What is class intervals in statistics
+29054,29054,What is class size and class interval
+29055,29055,What do you mean by adaptive learning
+29056,29056,What are some different teaching methods
+29057,29057,Why is adaptive learning important
+29058,29058,What is the difference between tensor and matrix
+29059,29059,What is vector and tensor
+29060,29060,What is tensor analysis math
+29061,29061,How many parameters are there in F distribution
+29062,29062,How do you know if its an eigenvalue
+29063,29063,What is Eigenfunction of LTI system
+29064,29064,What do you mean by Eigenfunctions
+29065,29065,Are Eigenfunctions orthogonal
+29066,29066,How do you prove a Hermitian operator
+29067,29067,What is cosine similarity formula
+29068,29068,What is cosine similarity in machine learning
+29069,29069,How do you explain P value in context
+29070,29070,What is generalization error for a supervised learning model
+29071,29071,What is generalization error in terms of the SVM
+29072,29072,What is L1 minimization
+29073,29073,Why is L1 norm sparse
+29074,29074,What is a vector input
+29075,29075,Whats is a vector
+29076,29076,What is vector in deep learning
+29077,29077,Is a neural network an AI
+29078,29078,How do you find the expected ratio
+29079,29079,What is observed and expected value in chi square test
+29080,29080,What does a correlation coefficient of 0.1 mean
+29081,29081,What does it mean if a distribution is skewed to the right
+29082,29082,Is a normal distribution positively skewed
+29083,29083,Can a normal distribution be skewed
+29084,29084,What does logistic regression not do
+29085,29085,When should we use logistic regression
+29086,29086,How do you find the mean and variance of a Gaussian distribution
+29087,29087,How do you calculate the mean of the distribution
+29088,29088,How is a mean related to the median in a Gaussian distribution
+29089,29089,Does Gaussian mean normal
+29090,29090,What is the mean and standard deviation of any Z distribution
+29091,29091,What are the disadvantages of FCFS scheduling
+29092,29092,What are the disadvantages of priority scheduling
+29093,29093,Which scheduling algorithm is best if we know the execution time
+29094,29094,What are the disadvantages of SJF scheduling algorithm
+29095,29095,Can the sample be generalized to the population
+29096,29096,How do you generalize findings
+29097,29097,What makes a sample generalizable
+29098,29098,What is convenience sampling in qualitative research
+29099,29099,What is the advantage of random samples over convenience samples
+29100,29100,What is a binary variable in statistics
+29101,29101,What is a binary response
+29102,29102,What is the binary model
+29103,29103,What is binary probit model
+29104,29104,How do you do binary logistic regression
+29105,29105,What is discrete decision
+29106,29106,What is cluster validity
+29107,29107,What are the sources of semi structured data
+29108,29108,Is Excel semi structured data
+29109,29109,What is the difference between structured and semi structured data
+29110,29110,What is the difference between structured semi structured and unstructured data give example
+29111,29111,What is semi structured data examples
+29112,29112,What is structured unstructured semi structured data
+29113,29113,What is a bootstrap distribution of the sample mean
+29114,29114,How do you manage unstructured data
+29115,29115,How is unstructured data converted to structured data
+29116,29116,What is the characteristic of unstructured data
+29117,29117,What is used to calculate the difference between two probability
+29118,29118,What would you use to compare the frequency distribution of more than one set of data
+29119,29119,When comparing two distributions it would be best to use relative frequency
+29120,29120,How do you calculate dimensional analysis
+29121,29121,Is stoichiometry the same as dimensional analysis
+29122,29122,How do you solve stoichiometry step by step
+29123,29123,How can dimensional analysis help me solve gas law stoichiometry problems
+29124,29124,How do you do stoichiometry
+29125,29125,How is stoichiometry used today
+29126,29126,What is the definition of stoichiometric
+29127,29127,What is stoichiometry explain with example
+29128,29128,How is chaos theory used
+29129,29129,How can machine learning help
+29130,29130,What makes a good machine learning problem
+29131,29131,How do you ask good data science questions
+29132,29132,What does it mean if variables are correlated
+29133,29133,What is predictor variable in machine learning
+29134,29134,What are predictor variables
+29135,29135,What is predictor and response variable
+29136,29136,What is the difference between SRS and randomization
+29137,29137,Is a system image the same as a backup
+29138,29138,What is a system image backup
+29139,29139,What is the difference between system image and recovery drive
+29140,29140,How do you determine the dependent and independent variables
+29141,29141,What does the dependent variable depend on
+29142,29142,Where do you put the dependent variable
+29143,29143,What are the types of ML
+29144,29144,What is the difference between univariate data and bivariate data quizlet
+29145,29145,What is the difference between univariate data and bivariate data
+29146,29146,What is the definition of univariate data
+29147,29147,How do you do factorial combinations
+29148,29148,How do you find out how many possible outcomes there are
+29149,29149,What is a conditional probability statement
+29150,29150,What is kernel in neural network
+29151,29151,What does kernel mean
+29152,29152,What are kernels in CNN
+29153,29153,What is channels in CNN
+29154,29154,What are kernels in deep learning
+29155,29155,What is kernel in convolution
+29156,29156,What is the difference between a label and a feature in a dataset
+29157,29157,Is binomial a sampling distribution
+29158,29158,How do you use the critical value method
+29159,29159,How do you reject the null hypothesis with the critical value
+29160,29160,What is the purpose of performing the overall F test
+29161,29161,In which neural network architecture has the weight sharing technique
+29162,29162,Does weight sharing occurs in neural network architecture
+29163,29163,What is the architecture of a neural network
+29164,29164,Is Minimax a machine learning
+29165,29165,Which values are independent in Minimax algorithm
+29166,29166,What is Minimax value
+29167,29167,Does population size matter for sample size
+29168,29168,What are the reasons for using only a sampling size from the target population
+29169,29169,What are the general tasks that are performed with backpropagation algorithm
+29170,29170,What is a statistical estimate
+29171,29171,What are the two types of statistical estimation
+29172,29172,How do you estimate
+29173,29173,What is network density
+29174,29174,What is a dense neural network
+29175,29175,What does low network density mean
+29176,29176,Why is network density important
+29177,29177,Is Hidden Markov model machine learning
+29178,29178,How do you find equally likely outcomes
+29179,29179,What are disadvantages of stratified sampling
+29180,29180,What is a major drawback to cluster sampling
+29181,29181,What are different data types in data mining
+29182,29182,Which technologies are used in data mining
+29183,29183,What are data mining techniques
+29184,29184,What is data mining definition PDF
+29185,29185,What is data mining explain the steps in data mining process
+29186,29186,What is data mining explain features of data mining
+29187,29187,What is random variable in research
+29188,29188,How do you write a binomial
+29189,29189,What are the criteria for a binomial distribution
+29190,29190,Is rolling a die a binomial distribution
+29191,29191,How do you know it a binomial distribution
+29192,29192,Is linear regression an algorithm
+29193,29193,Which is are important to use linear regression algorithm
+29194,29194,How do you handle missing values
+29195,29195,How can you handle missing values in data as a preprocessing step
+29196,29196,How do you interpret sensitivity
+29197,29197,How do you read sensitivity and specificity examples
+29198,29198,How do you classify logistic regression
+29199,29199,How do you select important variables in logistic regression
+29200,29200,How do you do regression method
+29201,29201,Which Matlab function is used for image reading
+29202,29202,What is selection bias in observational studies
+29203,29203,Why is selection bias a particular problem that can affect case control studies
+29204,29204,What is logit and probit model
+29205,29205,What is the meaning of logit
+29206,29206,What are the prerequisites to learn Tensorflow
+29207,29207,What is the random variable of interest in statistics
+29208,29208,What is threshold in ImageJ
+29209,29209,How do you use color threshold in ImageJ
+29210,29210,Is linear regression a time series
+29211,29211,Is linear regression a time series model or an associate model of forecasting
+29212,29212,Is it possible to build an AI
+29213,29213,Why Artificial intelligence is created
+29214,29214,How is AI coded
+29215,29215,How does AI improve
+29216,29216,Are the data time series or cross sectional
+29217,29217,How do you find the variance of a sample variance
+29218,29218,What is the variance in probability
+29219,29219,What is variance in binomial distribution
+29220,29220,Is distribution the same as variance
+29221,29221,How do you find the standard deviation of a sampling distribution
+29222,29222,Which of the following is a property of the sampling distribution of the sample proportion
+29223,29223,What does the sign of a standardized score tell you
+29224,29224,What does an eigenvalue represent
+29225,29225,What does an eigenvector represent
+29226,29226,How do you know if something is an eigenvector
+29227,29227,What is the least squares line in statistics
+29228,29228,How do you find the Y intercept of the least squares regression line
+29229,29229,What is the difference between Iqr and standard deviation
+29230,29230,What is an advantage of standard deviation or Iqr
+29231,29231,Should I use range or standard deviation
+29232,29232,How do you do feature selection in linear regression
+29233,29233,What is Labelling in deep learning
+29234,29234,What is exponential probability distribution
+29235,29235,What is bootstrapping in SPSS
+29236,29236,Which function is used to obtain confidence interval in bootstrapping
+29237,29237,What is a bootstrap confidence interval
+29238,29238,What is bootstrap estimation
+29239,29239,How do you compare survival curves
+29240,29240,What does it mean when survival curves cross
+29241,29241,Where is survival analysis used
+29242,29242,How NAT works with example
+29243,29243,What is NAT in simple terms
+29244,29244,What are the disadvantages of Nat
+29245,29245,What is multiplicative time series
+29246,29246,When would a linear model be appropriate
+29247,29247,How do you maintain a machine learning model
+29248,29248,How do you measure the accuracy of a predictive model
+29249,29249,How do you use a machine learning algorithm
+29250,29250,Where are machine learning algorithms used
+29251,29251,What is ethical testing
+29252,29252,What are the different types of datasets
+29253,29253,Which database is used in machine learning
+29254,29254,What does the sampling distribution of P show
+29255,29255,What are the characteristics of sampling
+29256,29256,What are three characteristics of the sampling distribution of F
+29257,29257,What are the 3 main characteristics of a sampling distribution based on the Central Limit Theorem
+29258,29258,Is Joint Distribution independent
+29259,29259,How do you prove two continuous random variables are independent
+29260,29260,How do you find joint PDF from joint CDF
+29261,29261,How do you calculate entropy of a set of data
+29262,29262,Can you use at test for non normal data
+29263,29263,How do you test if data is skewed
+29264,29264,What do I do if my data is highly skewed
+29265,29265,How do you evaluate normality of data
+29266,29266,Is K means clustering hierarchical
+29267,29267,What does K refers in the K means algorithm which is non hierarchical clustering approach
+29268,29268,Is K means agglomerative clustering
+29269,29269,Can MLE be biased
+29270,29270,Why is sample variance biased
+29271,29271,Why is standard deviation unbiased
+29272,29272,How does measurement error affect correlation
+29273,29273,How do you interpret a serial correlation
+29274,29274,What are the basics of statistics
+29275,29275,What are the major types of statistics
+29276,29276,Why are the concepts of probability important
+29277,29277,What are the two basic types of probabilities
+29278,29278,What is the basic probability formula
+29279,29279,What are examples of measurement error
+29280,29280,How does measurement error effect regression
+29281,29281,What is the effect of measurement error in Y
+29282,29282,How do you determine time variant and time invariant system
+29283,29283,What is variant and invariant
+29284,29284,Which system is time invariant
+29285,29285,Is the system time invariant y t x 4t
+29286,29286,What is the application of K means
+29287,29287,How do you convolve a picture
+29288,29288,What is kernel matrix in image processing
+29289,29289,How do you interpret correlation in SPSS
+29290,29290,What does Lambda symbolize
+29291,29291,Why do we need POS tagging
+29292,29292,How is false positive rate calculated
+29293,29293,Why do similar matrices have the same determinant
+29294,29294,Do similar matrices have the same characteristic polynomial
+29295,29295,What makes a matrix similar
+29296,29296,What do you mean by transformation matrix
+29297,29297,What does random sampling eliminate
+29298,29298,When should you use random sampling
+29299,29299,Can age be a discrete variable
+29300,29300,Is age group continuous or discrete
+29301,29301,Is age a nominal or continuous variable
+29302,29302,Does resampling affect the image quality
+29303,29303,Which one of the following is an image resampling method
+29304,29304,How do you interpret an integral in terms of area
+29305,29305,How do you evaluate each integral by interpreting it in terms of areas
+29306,29306,What's different between dense index and sparse index
+29307,29307,What is sparse matrix with example
+29308,29308,What do you mean by sparse matrices
+29309,29309,How does Otsu thresholding work
+29310,29310,What is sampling error and how does it occur
+29311,29311,What is a sampling error quizlet
+29312,29312,Why would you convert a continuous variable to a categorical variable
+29313,29313,How would you define machine learning problem
+29314,29314,What is machine learning simple definition
+29315,29315,How is stressed VAR calculated
+29316,29316,How do you do exponential distribution
+29317,29317,What is the shape of exponential distribution
+29318,29318,Which type of sampling is used most often
+29319,29319,Is stratified sampling biased
+29320,29320,What are the disadvantages of stratified random sampling
+29321,29321,Which variable is the best predictor
+29322,29322,What is bad about convenience sampling
+29323,29323,What are the pros and cons of convenience sampling
+29324,29324,What is regression which models can you use to solve a regression problem
+29325,29325,Is logistic regression regression or classification
+29326,29326,What is the regression equation in statistics
+29327,29327,What is R2 value
+29328,29328,Should dummy variables be standardized
+29329,29329,What is the objective of Perceptron learning Mcq
+29330,29330,Is Perceptron linear regression
+29331,29331,Is Perceptron a linear classifier
+29332,29332,Why does the Perceptron algorithm work
+29333,29333,What are the multimodal elements of a text
+29334,29334,What do you mean by multimodal
+29335,29335,How do you measure similarity between two texts
+29336,29336,How can I compare the contents of two files
+29337,29337,What is a third order tensor
+29338,29338,Is a tensor a matrix of matrices
+29339,29339,What is a sequential model in TensorFlow
+29340,29340,What is a sequential model neural network
+29341,29341,Is weight an ordinal variable
+29342,29342,What kind of data is weight
+29343,29343,Is birth weight a continuous variable
+29344,29344,Is weight discrete or continuous
+29345,29345,How do you find C using mean value theorem
+29346,29346,How do I find the C value of an integral
+29347,29347,What is C in Rolle's theorem
+29348,29348,Who introduced CNN
+29349,29349,Why is regression called regression
+29350,29350,What is a way of finding the K value for K means clustering
+29351,29351,How do you find the optimal number of clusters in K means
+29352,29352,Which method is used to find optimal number of clusters
+29353,29353,Why K means algorithm is used
+29354,29354,What is K means algorithm in data mining
+29355,29355,What is a one hot encoded vector
+29356,29356,What does one hot encoded mean
+29357,29357,What is OneHotEncoder in machine learning
+29358,29358,How does machine learning know Overfitting
+29359,29359,Why neural network is important
+29360,29360,Why would you use a box plot
+29361,29361,Where are box plots used
+29362,29362,Is standard error equal to standard deviation
+29363,29363,Can you calculate standard deviation from standard error
+29364,29364,Why do we use standard error instead of standard deviation
+29365,29365,Are error bars SEM or SD
+29366,29366,Is standard error the same as error bars
+29367,29367,What is the difference between standard error and standard error of the mean
+29368,29368,Is standard error of mean
+29369,29369,Is standard error of the mean the same as margin of error
+29370,29370,When use standard error of the mean
+29371,29371,Which of the following are the sub fields of NLP
+29372,29372,What are the two sub fields of NLP
+29373,29373,What is 2nd quartile
+29374,29374,How do you explain a regression equation
+29375,29375,How does regression analysis work
+29376,29376,What is the opposite of integration in calculus
+29377,29377,Why is differentiation the opposite of integration
+29378,29378,How can a probability of a class be calculated from the log odds produced by a logistic regression
+29379,29379,What is an ancillary variable
+29380,29380,How do you interpret a complete statistic
+29381,29381,What is a non normal distribution
+29382,29382,What does not normally distributed data mean
+29383,29383,Which is a common way to represent univariate data
+29384,29384,What are the steps for gradient descent algorithm
+29385,29385,Where is simple linear regression used
+29386,29386,Where is regression analysis used
+29387,29387,When can linear regression be used
+29388,29388,Is convenience sampling random
+29389,29389,Why was Picard called Locutus
+29390,29390,When was Picard Borg
+29391,29391,Why was Picard a Borg
+29392,29392,How do you find the Z score in a standard normal distribution table
+29393,29393,What is Z in standard normal distribution table
+29394,29394,How do you find the value of z test
+29395,29395,Do z scores have a mean of 0
+29396,29396,Does a normal distribution have a mean of 0
+29397,29397,What is DCT and DWT
+29398,29398,Why is DFT better than DCT
+29399,29399,How do you determine the size of a kernel
+29400,29400,What is kernel in conv2D
+29401,29401,What are different clustering methods
+29402,29402,What is a clustering in data mining
+29403,29403,How do you split data for cross validation
+29404,29404,What is the difference between validation and evaluation
+29405,29405,How do you validate a training course
+29406,29406,What does censoring mean in statistics
+29407,29407,How does the Kaplan Meier approach to estimating the survival function utilize information from censored observations
+29408,29408,How do you deal with left censored data
+29409,29409,What does it mean when data is censored
+29410,29410,How is censored data used in survival analysis
+29411,29411,What are the benefits of machine learning
+29412,29412,Where is machine learning use
+29413,29413,How do Decision trees work
+29414,29414,What is the critical value of z to calculate the 95 confidence interval
+29415,29415,How do you find Z critical value in Excel
+29416,29416,How do you calculate z area
+29417,29417,What is a deep learning framework
+29418,29418,What are machine learning frameworks
+29419,29419,What are the types of AI Modelling
+29420,29420,Is Heisenberg uncertainty principle wrong
+29421,29421,What is uncertain in Uncertainty Principle
+29422,29422,What is the meaning of uncertainty
+29423,29423,Why does the uncertainty principle exist
+29424,29424,What does the uncertainty principle teach us
+29425,29425,What is Process Mining RPA
+29426,29426,How bagging method can be useful to improve the accuracy of classification machine models
+29427,29427,What is the purpose of bagging
+29428,29428,What is z score method
+29429,29429,What is the difference between a class and an instance
+29430,29430,Why is variance divided by n
+29431,29431,What is N in sample variance
+29432,29432,What does N represent in the formula for the population variance
+29433,29433,What is consistent hypothesis in machine learning
+29434,29434,Why find s algorithm does not consider negative example
+29435,29435,How do I test my machine learning model
+29436,29436,What are the 4 components of the statistical process
+29437,29437,What are the 3 steps of statistics
+29438,29438,What are the 6 steps involved in statistical process control
+29439,29439,What is the 4 step problem solving process
+29440,29440,What are the steps in statistical investigation
+29441,29441,What is not the measure of location
+29442,29442,Is average a measure of center
+29443,29443,What is a measure of location
+29444,29444,Why is measure of spread important
+29445,29445,How do you approach data analysis
+29446,29446,How do you use a data set
+29447,29447,What is a dataset
+29448,29448,How do I open a dataset
+29449,29449,Can a dummy variable be an independent variable
+29450,29450,What are dummy variables used for in regression
+29451,29451,Is a dummy variable an explanatory variable
+29452,29452,Why is OLS regression used
+29453,29453,What is used in backward chaining
+29454,29454,Is the sampling distribution of the difference in sample means approximately normal
+29455,29455,What is N_estimators
+29456,29456,What is Max_depth in decision tree
+29457,29457,What is Gamma in XGBoost
+29458,29458,What is Min_samples_split
+29459,29459,What variable is the output
+29460,29460,What is the output of a function
+29461,29461,Is the output dependent
+29462,29462,How do you find the output of a function
+29463,29463,What is the output value of a function
+29464,29464,Is the dependent variable the output
+29465,29465,Is range a dependent variable
+29466,29466,Is output values domain or range
+29467,29467,Is range an output
+29468,29468,What is an outlier definition
+29469,29469,What is the outlier in the data set
+29470,29470,What is a false positive diagnosis
+29471,29471,What is false positive security
+29472,29472,What is a node in a decision tree
+29473,29473,What is the value of a decision node in a decision tree
+29474,29474,What information does a decision tree provide
+29475,29475,What does a decision tree display
+29476,29476,What does a leaf node represent in a decision tree
+29477,29477,What is non leaf node
+29478,29478,How do you choose a root node in a decision tree
+29479,29479,What is pattern search algorithm
+29480,29480,What is pattern matching explain with example
+29481,29481,What is pattern matching explain
+29482,29482,What is pattern matching in C
+29483,29483,What is pattern matching in data structure
+29484,29484,What does binary logistic regression tell you
+29485,29485,Why iterative methods are called as self correcting
+29486,29486,What is the condition for convergence of Gauss Seidel method
+29487,29487,Why Gauss Seidel method is better than Gauss Jacobi method
+29488,29488,Why do we use Gauss Seidel method
+29489,29489,What is real time stream processing
+29490,29490,What is streaming data processing
+29491,29491,What are the characteristics of real time streaming
+29492,29492,What is columnar format
+29493,29493,Why are columnar file formats used in data warehousing
+29494,29494,What is perceptual map used to assess
+29495,29495,What is meant by artificial neural network
+29496,29496,What is a neural network in machine learning
+29497,29497,What is neural network and its application
+29498,29498,What is neural network explain its types also
+29499,29499,Is SVR linear
+29500,29500,What is the difference between SVC and SVM
+29501,29501,What is quantile value
+29502,29502,What is an indication that the regression model is a good fit
+29503,29503,What is the difference between Gaussian and Poisson distribution
+29504,29504,What if QuantiFERON TB Gold is positive
+29505,29505,Can you have a false positive QuantiFERON gold
+29506,29506,Is QuantiFERON test accurate
+29507,29507,How do you read a QuantiFERON TB test
+29508,29508,How do you read QuantiFERON TB Gold Plus results
+29509,29509,What is a positive QuantiFERON TB Gold test
+29510,29510,What is an acceptable standard error of measurement
+29511,29511,What are the uses of standard error
+29512,29512,Is Hadoop and Big Data same
+29513,29513,What are the big data tools
+29514,29514,Why do we need Hadoop for big data analytics
+29515,29515,How does Hadoop work in big data
+29516,29516,How do we use sensors
+29517,29517,Is the probability distribution a discrete distribution
+29518,29518,What makes something a discrete probability distribution
+29519,29519,How do you determine if a table represents a discrete probability distribution
+29520,29520,What does stratification mean in random sampling
+29521,29521,What is interval and ratio data
+29522,29522,What is interval or ratio level of measurement
+29523,29523,What is interval level data
+29524,29524,How do you find the sampling error of a sample mean
+29525,29525,What is the formula for sampling
+29526,29526,What happens if you increase the confidence interval
+29527,29527,How do you increase confidence intervals
+29528,29528,Can you multiply confidence intervals
+29529,29529,What is the objective function for neural network
+29530,29530,What is the linear concept of time
+29531,29531,What is a linear data set
+29532,29532,How do you deal with non linear data
+29533,29533,How do you measure nonlinearity
+29534,29534,What is nonlinearity in statistics
+29535,29535,Is my data linear or nonlinear
+29536,29536,How do you determine your activity level
+29537,29537,What is the meaning of activity level
+29538,29538,What is meant by discrete control system
+29539,29539,How many types of control systems are there
+29540,29540,What is type2 system
+29541,29541,How do you do the moment method
+29542,29542,What are moment conditions
+29543,29543,How do you find the correlation between two variables in Matlab
+29544,29544,How do you find the correlation coefficient between two images in Matlab
+29545,29545,What variables follow a normal distribution
+29546,29546,What is a normally distributed random variable
+29547,29547,What is a random variable How is it related to a distribution
+29548,29548,What is the density of a random variable
+29549,29549,How do you find the probability of two probabilities
+29550,29550,What is image in Matlab
+29551,29551,How do you find the alternative hypothesis in statistics
+29552,29552,What is vectorization machine learning
+29553,29553,What is vectorization in deep learning
+29554,29554,Why do we do vectorization
+29555,29555,What is vectorization of an image
+29556,29556,How do you vectorize
+29557,29557,How do I edit text in a vector image
+29558,29558,What is are the good reasons to normalize data
+29559,29559,When should we avoid normalization
+29560,29560,What are the advantages and disadvantages of normalization
+29561,29561,What is learning by imitation
+29562,29562,Does Facebook have AI
+29563,29563,Are social media algorithms AI
+29564,29564,What are examples of artificial intelligence
+29565,29565,What is mean difference tell
+29566,29566,How do you find the Standardised mean difference
+29567,29567,How do you interpret effect size
+29568,29568,What is matching in econometrics
+29569,29569,Is the correlation between Y and X
+29570,29570,What is the Pearson correlation between variables X and Y if X Y
+29571,29571,What is the correlation between X and Y
+29572,29572,Why is convenience sampling unreliable
+29573,29573,What are sampling problems
+29574,29574,What is the main problem with using non probability sampling techniques
+29575,29575,What is the bias of a model
+29576,29576,How do you find an estimator bias
+29577,29577,How do you find the variance of a model
+29578,29578,What is a model bias
+29579,29579,What is model accuracy in machine learning
+29580,29580,Do we need to normalize data for K means
+29581,29581,Should you always normalize data
+29582,29582,Why do we need to standardize data
+29583,29583,What is the difference between deterministic and nondeterministic
+29584,29584,What is counting in statistics
+29585,29585,What is the basic counting principle
+29586,29586,What is counting and probability
+29587,29587,How do you calculate additive probability
+29588,29588,What do beta coefficients tell us
+29589,29589,What makes a random variable discrete
+29590,29590,What is the difference between the two types of random variable
+29591,29591,Can deep learning process structured data
+29592,29592,What does deep learning use
+29593,29593,What is the difference between quartile EXC and quartile Inc
+29594,29594,What does percentile EXC mean
+29595,29595,What is the difference between Percentrank EXC and Percentrank Inc
+29596,29596,What is the difference between quartile Inc () and quartile EXC ()
+29597,29597,What is the formula for calculating quartiles
+29598,29598,Which statistic is used to estimate the population mean
+29599,29599,What is the point estimate for μ the population mean
+29600,29600,What is μ in statistics
+29601,29601,What is the name of a statistic that is calculated from a sample and is used to estimate a population parameter
+29602,29602,What is the value of the statistic
+29603,29603,Is a sample statistic a constant
+29604,29604,How do you estimate population proportion
+29605,29605,How do you estimate population size using proportions
+29606,29606,How do you find the value of the sample proportion
+29607,29607,What is hidden state in hmm
+29608,29608,What is the difference between PCA and linear regression
+29609,29609,Is PCA a regression
+29610,29610,How do you avoid vanishing gradient
+29611,29611,What does the interquartile range Tell us about a set of data
+29612,29612,What does a high IQR mean
+29613,29613,What is Iqr good for
+29614,29614,Does Iqr determine variability
+29615,29615,How do you find relative frequency in probability
+29616,29616,What do you mean by relative frequency
+29617,29617,How do we calculate relative frequency
+29618,29618,What is the classical probability
+29619,29619,What is classical probability theory
+29620,29620,What is classical empirical and subjective probability
+29621,29621,What is a Sklearn in Python
+29622,29622,Which is better Sklearn or Tensorflow
+29623,29623,What is robot repeatability
+29624,29624,Is repeatability the same as accuracy
+29625,29625,What is the difference between accuracy and reproducibility
+29626,29626,What to do if model is Underfitting
+29627,29627,How do you find the frequency of a Fourier transform
+29628,29628,What is frequency bin in FFT
+29629,29629,Why negative frequency is used in Fourier Transform
+29630,29630,What is spatial domain
+29631,29631,What is spatial frequency domain
+29632,29632,What does frequency domain mean
+29633,29633,What is the difference between S domain and frequency domain
+29634,29634,What is time series analysis method
+29635,29635,What are the different methods of measuring trend
+29636,29636,What are the various methods of finding trend in time series analysis
+29637,29637,What is sampling frame give an example
+29638,29638,What are the uses of statistics in real life
+29639,29639,What are some uses of statistics
+29640,29640,What sampling means
+29641,29641,Which of the following is true about linear discriminant analysis
+29642,29642,What is the best use for the rules that are developed in neural networks
+29643,29643,What is hebbian model
+29644,29644,How do you find maximum entropy
+29645,29645,What is a state of maximum entropy
+29646,29646,What is dimensionality of data
+29647,29647,What is the meaning of a B testing
+29648,29648,How do you do a multivariate analysis in SPSS
+29649,29649,What is the NLP techniques
+29650,29650,What is the y axis in a normal distribution
+29651,29651,How do you read a density plot
+29652,29652,What is a density plot
+29653,29653,How do you interpret distribution curves
+29654,29654,How do you read a bell curve graph
+29655,29655,What is spatial domain and frequency domain in image processing
+29656,29656,How do you convert a spatial domain to a frequency domain
+29657,29657,Why frequency domain is used in image processing
+29658,29658,What is cross correlation and autocorrelation
+29659,29659,When should sampling be done
+29660,29660,When Should non probability sampling be used
+29661,29661,What is the main advantage of using probability samples group of answer choices
+29662,29662,What is the main disadvantage of non probability samples
+29663,29663,What are the major features of probability sampling
+29664,29664,What was Einstein's IQ
+29665,29665,How do you calculate covariance from variance
+29666,29666,How does covariance relate to variance
+29667,29667,How is covariance related to variance
+29668,29668,How covariance is calculated
+29669,29669,How do you standardize covariance
+29670,29670,What is mean and variance in statistics
+29671,29671,Is artificial neural network used for classification
+29672,29672,What is parameter in simple words
+29673,29673,What is the best way to learn statistics
+29674,29674,What is data correlation
+29675,29675,What is correlation in data science
+29676,29676,How do you know when two events are independent
+29677,29677,Is this an overlapping or disjoint event
+29678,29678,What is the purpose of Fourier Transform
+29679,29679,What is cross entropy loss used for
+29680,29680,What is unbalanced data
+29681,29681,What are the conditions for using a normal distribution to approximate a binomial distribution
+29682,29682,Why do we need quantile regression
+29683,29683,How is probability density calculated
+29684,29684,How do you find the expected value of a density function
+29685,29685,How do you calculate expected value from PMF
+29686,29686,Does K means work with categorical data
+29687,29687,Can K means be used for text clustering
+29688,29688,What is the midpoint of a class interval called
+29689,29689,What is the mid value of a class interval called
+29690,29690,What is the mid interval value
+29691,29691,How do you find the median class of grouped data
+29692,29692,How do you find the median in a frequency distribution
+29693,29693,In what interval is the median located
+29694,29694,Is hierarchical clustering greedy
+29695,29695,How do you find the pseudo rate constant
+29696,29696,What is pseudo first order rate constant
+29697,29697,What is pseudo rate law
+29698,29698,What affects pseudo rate constant
+29699,29699,How do you calculate normal distribution from Phi
+29700,29700,Why is Big Data unstructured
+29701,29701,Why is big data normally unstructured
+29702,29702,How are outliers treated in regression
+29703,29703,What is considered an outlier in data
+29704,29704,What test is used for correlation
+29705,29705,How can neural networks reduce bias
+29706,29706,What is a regression coefficient
+29707,29707,What does the standard error of the mean tell us
+29708,29708,Is margin of error and standard deviation the same
+29709,29709,Whats the difference between standard error and margin of error
+29710,29710,How do you find standard deviation from margin of error
+29711,29711,How do you know when to do a regression analysis
+29712,29712,Why is Artificial Intelligence helpful
+29713,29713,How does artificial intelligence help us in everyday life
+29714,29714,Is sample size related to standard deviation
+29715,29715,How do you find the standard deviation of a sample size
+29716,29716,What determines the sample size
+29717,29717,Is a one way Anova the same as at test
+29718,29718,What is the Anova test used for
+29719,29719,Why is bias added in neural network
+29720,29720,How is bias used in neural networks
+29721,29721,What is a bias in a neural network
+29722,29722,What is bias in Tensorflow
+29723,29723,Can you use parametric and nonparametric tests in the same study
+29724,29724,What does Elon Musk say about artificial intelligence
+29725,29725,What is Elon Musk's AI company
+29726,29726,Who thinks AI dangerous
+29727,29727,What Elon Musk said about AI
+29728,29728,Why is the sigmoid function important
+29729,29729,What is the operation used in divergence
+29730,29730,What is Stokes theorem used for
+29731,29731,What does skewed to the right mean
+29732,29732,How do you find sample mean on TI 84
+29733,29733,How do you find the median of the data
+29734,29734,How do you find the median of an even set of data
+29735,29735,What is median of a set
+29736,29736,Which one comes under non numerical data type
+29737,29737,Which data is numerical data
+29738,29738,What is numeric data type
+29739,29739,What is an example of numeric data
+29740,29740,What are the two types of numerical data
+29741,29741,Which evaluation metrics can be used for classification problems
+29742,29742,What is ranking problem
+29743,29743,What is ranking algorithm in search engine
+29744,29744,What is ranking in machine learning
+29745,29745,What are different ranking algorithms
+29746,29746,How does sift algorithm work
+29747,29747,How do you use LDA
+29748,29748,What are the four assumptions of regression that must be tested in order to ensure that statistical results are trustworthy
+29749,29749,Which the following is not an assumption for a linear regression model
+29750,29750,Which of the following is not an assumption underlying regression analysis
+29751,29751,What does it mean to find the margin of error
+29752,29752,How is the margin of error related to the standard error of the mean
+29753,29753,How do you find the standard error of a sample
+29754,29754,How do you find the margin of error for a two sample t interval
+29755,29755,How do you find the margin of error for a sample proportion
+29756,29756,How is margin of error calculated
+29757,29757,How do you find the margin of error when given the confidence interval
+29758,29758,How do you find the sample size given the margin of error and confidence interval
+29759,29759,How do you calculate a trend line
+29760,29760,How do you find the trend line on a scatter plot
+29761,29761,How does excel calculate trendline equation
+29762,29762,What is the trend line in a scatter plot
+29763,29763,What is a trend line equation
+29764,29764,What does the trendline tell you
+29765,29765,What is the trendline in Excel
+29766,29766,Why normal distribution is bell shaped
+29767,29767,Why do we use a bell curve
+29768,29768,Is a bell curve a function
+29769,29769,How does a bell curve work
+29770,29770,How is regression used in time series forecasting
+29771,29771,Is Arima linear regression
+29772,29772,What is signal sampling and reconstruction
+29773,29773,Is it always possible to reconstruct the original signal after it is sampled
+29774,29774,How do you reconstruct a sampled signal in Matlab
+29775,29775,How do you reconstruct a sampled signal
+29776,29776,What is sampling theorem sampling
+29777,29777,What is Nyquist criteria for sampling
+29778,29778,What are the applications of sampling theorem
+29779,29779,What is the condition to avoid aliasing for sampling
+29780,29780,What is model based algorithm
+29781,29781,What is the significance of learning algorithms
+29782,29782,What type of learning algorithm relies on a similarity measure to make predictions
+29783,29783,How probabilities are calculated in random forest
+29784,29784,Do I need to scale for random forest
+29785,29785,What is random forest in ML
+29786,29786,What is random forest regression in machine learning
+29787,29787,What is the moment generating function of geometric distribution
+29788,29788,What is geometric probability distribution
+29789,29789,How do you interpret r squared and adjusted R squared
+29790,29790,How is adjusted R 2 calculated
+29791,29791,What is the formula for calculating coefficient of determination
+29792,29792,What is adjusted R2 value
+29793,29793,How do you test for univariate normality in SPSS
+29794,29794,What is the problem with outliers
+29795,29795,What is the challenge when we find the outlier in high data
+29796,29796,How do you find the sample mean and sample standard deviation
+29797,29797,Is the mean of a sample the same as a mean of the population
+29798,29798,Why do most of the sample means differ somewhat from the population mean
+29799,29799,What is the difference between an episode and an epoch
+29800,29800,What is the runtime of BFS
+29801,29801,Is BFS linear time
+29802,29802,What is the time complexity of BFS algorithm
+29803,29803,What are the two types of fuzzy inference system
+29804,29804,What is another name for fuzzy inference systems *
+29805,29805,Which of the following is the advantage of collaborative filtering system
+29806,29806,What are the challenges faced in collaborative filtering recommendation system
+29807,29807,What is the cold start problem in collaborative filtering
+29808,29808,What is the goal of collaborative filtering
+29809,29809,Can covariance matrix singular
+29810,29810,How do you find the inverse of a 3x3 matrix
+29811,29811,How do you find the inverse
+29812,29812,What does the inverse of a matrix mean
+29813,29813,Can covariance matrix negative
+29814,29814,How do you remove outliers from a data set
+29815,29815,Which formulas are used to determine outliers in a data set
+29816,29816,What are the properties of probability mass function
+29817,29817,What does non stochastic mean
+29818,29818,What are stochastic effects
+29819,29819,What are deterministic and stochastic effects
+29820,29820,What is a stochastic random variable
+29821,29821,What is a stochastic relationship
+29822,29822,Which of the following are examples of stochastic effects
+29823,29823,What is the difference between a non stochastic effect and a stochastic effect
+29824,29824,What is deep clustering
+29825,29825,What is Anova in linear regression
+29826,29826,Is Anova a type of regression
+29827,29827,Is Anova the same as regression
+29828,29828,Is Anova a form of linear regression
+29829,29829,Is Anova a multiple regression
+29830,29830,Is Ancova linear regression
+29831,29831,Is Anova GLM
+29832,29832,Is an Anova a linear model
+29833,29833,Are R and R squared the same
+29834,29834,What is the square of the correlation
+29835,29835,What is AI data
+29836,29836,How does artificial intelligence use data
+29837,29837,Why is data important for AI
+29838,29838,Does AI need data
+29839,29839,How does AI use big data
+29840,29840,What is data for AI
+29841,29841,Why do we need artificial intelligence
+29842,29842,Why do we need to study AI
+29843,29843,What are the benefits of AI
+29844,29844,When can you use the divergence test
+29845,29845,How do you tell if a function is divergent or convergent
+29846,29846,Can AST prove divergence
+29847,29847,How do you know when to use the alternating series test
+29848,29848,How do you determine if a series is divergent or convergent
+29849,29849,How do you use a series ratio test
+29850,29850,Why the harmonic series diverges
+29851,29851,What is true about bagging
+29852,29852,What are two types of growth curves
+29853,29853,What is the meaning of unpunished
+29854,29854,How do you do a stepwise regression in SPSS
+29855,29855,What is stepwise multiple regression analysis
+29856,29856,How do you do a bivariate analysis in SPSS
+29857,29857,How do you calculate bivariate regression
+29858,29858,What is a bivariate regression analysis
+29859,29859,How do you prepare data for cluster analysis
+29860,29860,How do you select variables for clustering
+29861,29861,How is clustering measured
+29862,29862,Which are the following are the correct elements used in Hidden Markov model
+29863,29863,What is sample universe
+29864,29864,What is meant by Universe in statistics class 11
+29865,29865,How do you identify population and sample
+29866,29866,Why do we use kurtosis
+29867,29867,How do you calculate skewness and kurtosis
+29868,29868,How do you calculate kurtosis in grouped data
+29869,29869,What is knowledge representation in AI
+29870,29870,What is the role of knowledge in intelligence Behaviour
+29871,29871,What does data pipeline mean
+29872,29872,How does data pipeline work
+29873,29873,Which of the following method is lazy learning method
+29874,29874,What are basic differences between an eager learner algorithm and a lazy learner algorithm for classification
+29875,29875,What is meaning of data analytics
+29876,29876,What is a test of a single proportion used for
+29877,29877,How do you use 2 Prop Z test
+29878,29878,What is a 2 sample z test used for
+29879,29879,What is P1 and P2 in statistics
+29880,29880,What is the least squares regression line used for
+29881,29881,Why do we square the residuals when finding the least squares regression line
+29882,29882,What does the slope of the regression line tell us
+29883,29883,How do you use a regression line to predict
+29884,29884,How do you find the probability of A and B dependent
+29885,29885,What is confusion matrix and write its purpose
+29886,29886,What is confusion matrix in decision tree
+29887,29887,What is proximity matrix in random forest
+29888,29888,How big should a neural network be
+29889,29889,What is a variate in statistical analysis
+29890,29890,What is inverse transform technique explain how it is used for producing random variants for exponential distribution and uniform distribution
+29891,29891,What is the difference between Conv1D and Conv2D
+29892,29892,How do you test proportions
+29893,29893,How do you find the population proportion
+29894,29894,What is the test statistic for proportion
+29895,29895,Which statistical test can be used for testing of several population means
+29896,29896,What is a means test in statistics
+29897,29897,What is population proportion in hypothesis testing
+29898,29898,How do you implement CNN in TensorFlow
+29899,29899,How do you find the mean of Sigma
+29900,29900,What is 3 sigma mean
+29901,29901,What does the E mean in statistics
+29902,29902,What is the difference between S and Σ
+29903,29903,How do you calculate Sigma
+29904,29904,How do you calculate Sigma and Mu
+29905,29905,What is Sigma and standard deviation
+29906,29906,How do you calculate Sigma from standard deviation
+29907,29907,Is CNN deep learning or machine learning
+29908,29908,Is CNN an algorithm
+29909,29909,What are the assumptions of parametric tests
+29910,29910,Should I use Z test or t test
+29911,29911,What is the order of steps in NLU
+29912,29912,What is NLU in artificial intelligence
+29913,29913,What are the 2 measures of variability
+29914,29914,How do you measure variability
+29915,29915,What are the 4 measures of variability
+29916,29916,What is data variability
+29917,29917,How do you find the variability of a data set
+29918,29918,What is variability in a dot plot
+29919,29919,How do the standard deviations of the two data sets compare
+29920,29920,Does standard deviation measure variability
+29921,29921,How do you know which variable has more variability
+29922,29922,What is the line of best fit equation
+29923,29923,Is the regression equation the line of best fit
+29924,29924,What criteria are used to determine which regression equation is the best fitting line for a set of data
+29925,29925,Which of the following methods is used to find the best fit line for data in linear regression
+29926,29926,What is raw binary data
+29927,29927,What do you do with a binary file
+29928,29928,Why do we need binary file
+29929,29929,What is the difference between text and binary files
+29930,29930,What is a binary file and how do I open it
+29931,29931,What is a binary file example
+29932,29932,Is JPEG a binary file
+29933,29933,What is T in confidence interval
+29934,29934,How do you calculate T Cal
+29935,29935,What is reinforcement in teaching
+29936,29936,What reinforcing techniques you will use
+29937,29937,Which is disadvantage of Bayesian classification
+29938,29938,How do you calculate LGD
+29939,29939,How do you calculate PD and LGD
+29940,29940,What are the uses of variance
+29941,29941,Is the K Means algorithm deterministic
+29942,29942,Why is K means non deterministic
+29943,29943,Which of the problem arise in clustering
+29944,29944,What is a disadvantage of cluster sampling
+29945,29945,What are the disadvantages of clustered settlement
+29946,29946,What is the difference between a one sample t test and a two sample t test
+29947,29947,Why would you use a 2 sample t test
+29948,29948,What is the difference between a t test for dependent means and a t test for independent means
+29949,29949,What is the difference between the t test for two independent samples and the t test for two dependent samples eg matched pairs t test ?)
+29950,29950,What is the difference between two samples that are dependent and two samples that are independent Give an example of two dependent samples and two independent samples
+29951,29951,What are advantages of real time processing
+29952,29952,What is distribution in machine learning
+29953,29953,Why is the central limit theorem important in statistics quizlet
+29954,29954,What is central limit theorem for sampling distributions
+29955,29955,What does the central limit theorem tell us about the distribution of those mean ages
+29956,29956,What does sampling distribution tell you
+29957,29957,What is linear regression in Python
+29958,29958,What two things does a correlation coefficient tell us
+29959,29959,What does Pearson r Tell us about two variables
+29960,29960,What is difference between Pearson and Spearman correlation
+29961,29961,What factors can be determined with the correlation analysis
+29962,29962,How do you increase correlation coefficient
+29963,29963,How do you tell if a test is left or right tailed
+29964,29964,What is the parameter being tested
+29965,29965,What is SEM data analysis
+29966,29966,Is regression linear analysis
+29967,29967,How do you find the eigenvectors
+29968,29968,How do you find the eigenvectors of a 3x3 matrix
+29969,29969,What eigenvector means
+29970,29970,How many variables should be tested at once
+29971,29971,What is PSU in statistics
+29972,29972,What are assumptions of statistical tests
+29973,29973,How do you write a statistical assumption
+29974,29974,What are the assumptions of statistical tests
+29975,29975,What are the basic assumptions of three statistics
+29976,29976,What assumptions do we have to make when conducting statistical hypothesis testing
+29977,29977,Are statistical assumptions important in every statistical analysis
+29978,29978,What assumptions must be satisfied to be able to use a t test
+29979,29979,Does the residual plot show that the line of best fit is appropriate for the data Brainly
+29980,29980,How do you know if a residual plot is appropriate
+29981,29981,What should you see in a residual plot
+29982,29982,Which residual plot is best
+29983,29983,Which statements describe a residual plot for a line of best fit that is a good model for a scatterplot check all that apply
+29984,29984,What are residual plots
+29985,29985,Why do Multinomials naive Bayes
+29986,29986,What are the benefits of offline classes
+29987,29987,How do you handle categorical variables in logistic regression
+29988,29988,What sampling distribution will you use
+29989,29989,What does normal distribution represent
+29990,29990,Why is normality important in hypothesis testing
+29991,29991,What is a normal distribution value
+29992,29992,What distribution should you use to perform a hypothesis test
+29993,29993,When the population mean and standard deviation are known what distribution is used for the analysis of the sample
+29994,29994,What distribution would be used to run a hypothesis test on two independent means when the population standard deviations are known
+29995,29995,What is a discrete random variable definition
+29996,29996,What type of analysis is estimation
+29997,29997,What are the types of estimating
+29998,29998,Why do we use estimation in statistics
+29999,29999,Where is greedy algorithm used
+30000,30000,Why Prims algorithm is greedy method
+30001,30001,What is the role of NLP where text data involved
+30002,30002,What are the features of NLP
+30003,30003,What is NLP and its application
+30004,30004,Is text mining part of NLP
+30005,30005,What is the difference between natural language processing and text mining
+30006,30006,What is difference between text mining and text analytics
+30007,30007,How do you find the assumption of a logistic regression
+30008,30008,Which of the following is as assumption for logistic regression
+30009,30009,How do you check assumptions in multiple regression
+30010,30010,Does logistic regression assume linearity
+30011,30011,How do you check for linearity in multiple regression
+30012,30012,How do you know if a relation is linear in R
+30013,30013,What are the assumptions for logistic regression
+30014,30014,When can you use a normal distribution for a binomial distribution
+30015,30015,Why do we use binomial distribution
+30016,30016,What does binomial mean in statistics
+30017,30017,What does an each outcome in the sample space regarded as
+30018,30018,What does the sample space represent
+30019,30019,Is Lstm a deep neural network
+30020,30020,Is RNN reinforcement learning
+30021,30021,What is a nonparametric method
+30022,30022,Which is parametric data model
+30023,30023,What is parametric and non parametric model
+30024,30024,What is uniform distribution function
+30025,30025,What is the probability function of standard normal distribution
+30026,30026,What is a normal distribution density function
+30027,30027,What is a PDF in calculus
+30028,30028,How is correlation calculated from covariance
+30029,30029,Why is covariance better than correlation
+30030,30030,What is the difference between correlation and variance
+30031,30031,When the covariance is positive the correlation will be
+30032,30032,How do you calculate correlation
+30033,30033,How do you find the correlation between two variables in Excel
+30034,30034,What is the correlation equation
+30035,30035,What is the use of Sklearn in Python
+30036,30036,Does Sklearn use TensorFlow
+30037,30037,What is the difference between Scikit learn and Sklearn
+30038,30038,Why do we use exploratory data analysis
+30039,30039,Which of the following is data exploration method
+30040,30040,What are the steps in the data exploration process
+30041,30041,What is the objective of exploratory data analysis
+30042,30042,When can you use at distribution
+30043,30043,What is the difference between probabilistic and deterministic
+30044,30044,What does learning rate in gradient descent leads to
+30045,30045,How do you select learning rate in gradient descent
+30046,30046,What is Alpha in gradient descent
+30047,30047,What is learning rate in gradient boosting
+30048,30048,What is the purpose of the gradient descent algorithm in machine learning
+30049,30049,What is an accuracy score
+30050,30050,Which statistical test is commonly used to compare two sample means
+30051,30051,Why is it useful to compare two samples
+30052,30052,How do you find the principal component of a SVD
+30053,30053,Why we use K means
+30054,30054,What are the strengths of K means algorithm
+30055,30055,How can I improve my K mean
+30056,30056,Which of the following tasks can be solved using clustering
+30057,30057,What are the limitations of K means clustering algorithm
+30058,30058,What is difference between text and numeric data type
+30059,30059,What is the difference between numeric and number
+30060,30060,Why is it so important to control the variables
+30061,30061,Why do we include control variables
+30062,30062,What does second order derivative mean
+30063,30063,What does 2nd derivative tell you
+30064,30064,How do you write a second order derivative
+30065,30065,What is the problem of second order derivative in edge detection
+30066,30066,What are the first order derivative filters
+30067,30067,How are the derivatives obtained in edge detection during formulation
+30068,30068,What is the second derivative used for
+30069,30069,Why is second derivative d2y dx2
+30070,30070,Which is weight updation formula of Perceptron network *
+30071,30071,How do you update weights in Perceptron
+30072,30072,How do you identify syntactic categories
+30073,30073,How do you regress data
+30074,30074,How do you find statistical data treatment
+30075,30075,What are the statistical treatment
+30076,30076,What is statistical treatment of data example
+30077,30077,How do you know which statistical analysis to use
+30078,30078,What is a dichotomous dependent variable
+30079,30079,What is a binary response variable
+30080,30080,What is a Poisson distribution used for
+30081,30081,How do you evaluate a model
+30082,30082,How do you make a model more accurate
+30083,30083,What does high variance mean in machine learning
+30084,30084,How does neural network increase variance
+30085,30085,Which of the following will help in reducing variance in a neural network
+30086,30086,What is Modelling in AI
+30087,30087,What is model complexity How is it related to sample size and regularization
+30088,30088,What is AB in statistics
+30089,30089,What is a B testing in ML
+30090,30090,What is the difference between R2 and R in multiple regression
+30091,30091,What does multiple R squared mean in R
+30092,30092,What does multiple R tell you
+30093,30093,What is a good multiple R squared value
+30094,30094,What is interdependent variable
+30095,30095,What are parametric tests used for
+30096,30096,What is the main purpose of inferential statistical tests
+30097,30097,Which of the following is are the disadvantage s of decision tree algorithm
+30098,30098,What does a linear regression tell us
+30099,30099,How do you use the linear regression forecast indicator
+30100,30100,How do you use linear regression in trading
+30101,30101,What is empirical distribution in statistics
+30102,30102,What is an empirical histogram
+30103,30103,How do you find the empirical probability
+30104,30104,Is theoretical or experimental probability more accurate
+30105,30105,Why are there no error terms in logistic regression
+30106,30106,What is meant by a weighted average
+30107,30107,What is weights in machine learning
+30108,30108,How K means perform the job of clustering explain with an example
+30109,30109,What is clustering in text mining
+30110,30110,What is the difference between supervised and unsupervised clustering
+30111,30111,What is clustering and classification
+30112,30112,What is the formula for chi squared
+30113,30113,What's the chi square test used for
+30114,30114,Why is standard deviation better than average
+30115,30115,Why is standard deviation preferred over mean deviation
+30116,30116,Is standard deviation better than mean
+30117,30117,What does mean deviation tell us
+30118,30118,Is mean deviation and standard deviation the same
+30119,30119,Is standard deviation in the same units as the mean
+30120,30120,How can AI help the world
+30121,30121,What is the primary limitation of cluster sampling compared to simple random samples
+30122,30122,What is the primary purpose of stratified sampling
+30123,30123,How do you solve Multinomials
+30124,30124,What is the binomial distribution in statistics
+30125,30125,Which is the binomial distribution formula
+30126,30126,How do you choose a dependent variable
+30127,30127,What is a selection variable in logistic regression in SPSS
+30128,30128,Why does SPSS exclude certain variables from a regression
+30129,30129,Is computer vision part of artificial intelligence
+30130,30130,How many modes are there to operate adaptive equalizer
+30131,30131,Why is an adaptive equalizer required
+30132,30132,What does LH stand for in texting
+30133,30133,What does TCC mean in texting
+30134,30134,What is a Rabin and Karp algorithm do
+30135,30135,Which of the following is true regarding Rabin Karp algorithm
+30136,30136,What is Rabin Karp string matching algorithm
+30137,30137,What is the standard deviation of the Chi square distribution
+30138,30138,How is variance distributed
+30139,30139,What are the parameters for chi square distribution
+30140,30140,What is meant by association rule mining
+30141,30141,How does the Wilcoxon signed rank test work
+30142,30142,How do you calculate Wilcoxon signed rank in SPSS
+30143,30143,What is the null hypothesis for Wilcoxon signed rank test
+30144,30144,How do we train neural networks
+30145,30145,How do you find the Z score in math
+30146,30146,How do you determine a better Z score
+30147,30147,How do you train a model for object detection
+30148,30148,What is deep learning object detection
+30149,30149,How are representative samples selected
+30150,30150,What is intra rater reliability in research
+30151,30151,How do you calculate intraclass correlation
+30152,30152,How do you calculate intra rater reliability in SPSS
+30153,30153,What is inter rater reliability in assessment
+30154,30154,How is a correlational study different from a quasi experiment
+30155,30155,What are some of the key differences between descriptive correlational and experimental research
+30156,30156,What makes the study experimental rather than correlational
+30157,30157,Why logistic regression is better than neural
+30158,30158,What are the different approaches of AI
+30159,30159,What does markovian mean
+30160,30160,How do you test for significance
+30161,30161,What do you mean by tests of significance
+30162,30162,How do you test for regression significance
+30163,30163,Why do we take log in regression
+30164,30164,What does taking the log do
+30165,30165,Why do we take log of any value
+30166,30166,What is the difference between precision and uncertainty
+30167,30167,How does the precision of your instrument affect your uncertainty
+30168,30168,How does uncertainty connect with measurement
+30169,30169,What is the difference between a histogram and a relative frequency histogram
+30170,30170,What is the difference between frequency and frequency density
+30171,30171,How do you calculate relative frequency and density
+30172,30172,What is the formula of frequency density
+30173,30173,What is the formula for relative frequency
+30174,30174,How do you find the frequency density
+30175,30175,How do you find the frequency of a histogram
+30176,30176,Why do we calculate frequency density
+30177,30177,How do you find the density of a histogram in R
+30178,30178,Do Neural networks work for trading
+30179,30179,How do you test proportions with hypothesis
+30180,30180,What are the 4 ways to test a hypothesis
+30181,30181,How do you calculate test statistic
+30182,30182,What is the formula for the two sample t statistic
+30183,30183,Where does the test statistic come from in a hypothesis test
+30184,30184,What is the use of sparse matrix
+30185,30185,What are the advantages of sparse matrices over normal matrices
+30186,30186,How do you know if a variable is categorical
+30187,30187,What is Npq probability
+30188,30188,What is Q in a binomial distribution
+30189,30189,What do t and p values mean
+30190,30190,What is a statistically significant t test
+30191,30191,What would cause a smaller p value
+30192,30192,How do you do variables with weights
+30193,30193,What variable is used for weight
+30194,30194,How do you assign weights to a survey
+30195,30195,How do you create a weighting variable in SPSS
+30196,30196,What is the purpose of a weighting factor
+30197,30197,How do you use a weighted scoring model
+30198,30198,How do you find the weight factor
+30199,30199,How do you do weighting
+30200,30200,How do you calculate weightage
+30201,30201,How does weighting data work
+30202,30202,What is weighting data
+30203,30203,What are the different types of event
+30204,30204,What are the different types of event management
+30205,30205,What are the examples of events
+30206,30206,What is an event and its types
+30207,30207,What is Event Management Meaning
+30208,30208,How do you find the gradient of a regression line
+30209,30209,What does the gradient of a regression line show
+30210,30210,What does the slope of a linear regression line mean
+30211,30211,How do you measure validity and reliability
+30212,30212,How do we determine if a test has good validity
+30213,30213,How do you create a reinforcement learning environment
+30214,30214,How is deep learning different from neural networks
+30215,30215,What does a small sample size mean
+30216,30216,What is the minimum statistical sample size
+30217,30217,How large of a sample size do you need
+30218,30218,What is Iqr equal to
+30219,30219,Why is the Iqr less than the range
+30220,30220,What does the IQR interquartile range represent
+30221,30221,What does the epsilon symbol mean
+30222,30222,What is the use of Epsilon
+30223,30223,Is Epsilon a word
+30224,30224,What is Epsilon used for
+30225,30225,What is Epsilon in calculus
+30226,30226,Who invented Epsilon
+30227,30227,What is uniform probability
+30228,30228,What is the total area of a uniform distribution
+30229,30229,What is the continuous probability distribution
+30230,30230,How do you solve probability distribution tables
+30231,30231,What is mean median mode and range
+30232,30232,What is the purpose of mean and standard deviation
+30233,30233,What are random effects in regression
+30234,30234,What is security group
+30235,30235,What are the different layers of network security on AWS
+30236,30236,What is the difference between security group and nacl in AWS
+30237,30237,What is nacl in networking
+30238,30238,What is the difference between nacl and security groups in AWS
+30239,30239,Which layer does a nacl and Security Group operate on
+30240,30240,How does removing an outlier affect standard deviation
+30241,30241,What effect would outliers have on the mean and the standard deviation of a set of data
+30242,30242,Why is the mean most affected by outliers
+30243,30243,Is standard deviation inflated by outliers
+30244,30244,How do outliers affect the mean and standard deviation
+30245,30245,How does an outlier affect the mean and median
+30246,30246,How do outliers affect the mean of a data set
+30247,30247,Does removing an outlier affect standard deviation
+30248,30248,How do you find outliers with standard deviation
+30249,30249,What is the 2 standard deviation rule for outliers
+30250,30250,How do you determine if a value is an outlier
+30251,30251,Does standard deviation use outliers
+30252,30252,Do you include outliers in mean
+30253,30253,What is the two standard deviation rule for outliers
+30254,30254,Why do you fail to reject the null hypothesis
+30255,30255,How do you set up a null and alternative hypothesis
+30256,30256,How do you type the alternative hypothesis symbol
+30257,30257,Is rejecting the null hypothesis significant
+30258,30258,Does a probability density function have to be continuous
+30259,30259,Why is it called linear
+30260,30260,When was linear algebra discovered
+30261,30261,Who invented algebra and why
+30262,30262,How do you choose a parametric or nonparametric test
+30263,30263,What is the most popular parametric correlation test
+30264,30264,How do you choose parametric or nonparametric
+30265,30265,Which of the following nonparametric tests can be used for a paired difference experiment
+30266,30266,Is facial recognition supervised or unsupervised learning
+30267,30267,How many types of bias are there
+30268,30268,Is stratified sampling simple random sampling
+30269,30269,Is stratified sampling non random
+30270,30270,What is CNN in AI
+30271,30271,Why is CNN image classification
+30272,30272,How does CNN image classification work
+30273,30273,What points do we conclude from dimensional analysis
+30274,30274,How do you find the probability when given the mean
+30275,30275,How do you find probability with mean and standard deviation
+30276,30276,How do you calculate probability on a TI 84
+30277,30277,How do you find the p value using a TI 84
+30278,30278,What is lambda in SVM
+30279,30279,What is Gamma and C in SVM
+30280,30280,What is the measure of center in statistics
+30281,30281,What is the center in a histogram
+30282,30282,Which of the following is not a measure of central location
+30283,30283,Can you use categorical variables in regression
+30284,30284,Can you use nominal data for correlation
+30285,30285,What is the formula of T score
+30286,30286,How do you calculate the T value
+30287,30287,What is a standard T score
+30288,30288,What is the normal T score for bone density
+30289,30289,What is distributional reinforcement learning
+30290,30290,What are the two main types of modulation techniques
+30291,30291,What is amplitude modulation example
+30292,30292,What is amplitude modulation class 12
+30293,30293,What is the meaning of amplitude
+30294,30294,What is amplitude modulation and frequency modulation
+30295,30295,How do you generalize a model
+30296,30296,What is poor generalization
+30297,30297,Why is random sampling and random assignment in experimental research important
+30298,30298,What is the purpose of augmented reality
+30299,30299,When was augmented reality first used
+30300,30300,What is the purpose of the least squares regression line
+30301,30301,What does binomial theorem
+30302,30302,Why binomial theorem is used
+30303,30303,What is mean by binomial expression
+30304,30304,What is the opposite of coefficient
+30305,30305,How do you use coefficient in a sentence
+30306,30306,What is the coefficient of a term
+30307,30307,How do you find the coefficient
+30308,30308,What is the coefficient of x3
+30309,30309,What are different types of heuristics
+30310,30310,Is artificial intelligence a science
+30311,30311,Is artificial intelligence a science or is it engineering or neither or both explain
+30312,30312,What is AI engineering
+30313,30313,What is the formula for sampling distribution
+30314,30314,How do you solve sampling
+30315,30315,How do you estimate the distribution of data
+30316,30316,What is the distribution of data in statistics
+30317,30317,What are some examples of learning styles
+30318,30318,Which AI is used to extract information from unstructured data
+30319,30319,How random forest is different from bagging
+30320,30320,Why do we use both variance and standard deviation
+30321,30321,Why do we need the variance
+30322,30322,What is the purpose of getting the standard deviation
+30323,30323,Why is standard deviation more useful than variance
+30324,30324,Which ensemble method minimizes variance
+30325,30325,Which statistic should be used to analyze data from a pretest posttest design or a control group study
+30326,30326,How many neurons are in ResNet
+30327,30327,What does sample variance mean
+30328,30328,What is estimated error variance
+30329,30329,How do you find the variance of the error term
+30330,30330,What is error variance
+30331,30331,What does ReLU do in Tensorflow
+30332,30332,How do you choose an appropriate statistical test for data analysis
+30333,30333,What is the best statistical test for seeing if there is a relationship between two categorical variables
+30334,30334,What is entropy in communication theory
+30335,30335,What are the limitations of inferential statistics
+30336,30336,What is the difference between descriptive statistics and inferential statistics quizlet
+30337,30337,What is the inferential statistics problem
+30338,30338,What is the difference between descriptive and inferential
+30339,30339,How do you find the normal probability density function
+30340,30340,Is a normal curve a density curve
+30341,30341,What are density curves
+30342,30342,What is CNN and DNN
+30343,30343,What is DNN in deep learning
+30344,30344,What is cooperative binding and why does it cause a sigmoidal saturation curve
+30345,30345,What does sigmoid curve indicate
+30346,30346,Is naive Bayes a neural network
+30347,30347,Is the regression coefficient The slope
+30348,30348,How do you find a slope of a correlation
+30349,30349,Is R equal to slope
+30350,30350,What does the slope of a regression line mean
+30351,30351,Is b0 a slope
+30352,30352,What is deep neural network algorithm
+30353,30353,How do you validate K means clusters
+30354,30354,How do you validate a cluster
+30355,30355,What is the K scale
+30356,30356,How is supervised learning different from unsupervised learning techniques
+30357,30357,What is the point of stratified sampling
+30358,30358,What is reinforcement learning theory
+30359,30359,Why is it called reinforcement learning
+30360,30360,How do you combine random variables
+30361,30361,Is the sum of two normal random variables normal
+30362,30362,Can standard deviations be added together
+30363,30363,How do you add two probability distributions
+30364,30364,What is the product of two normal distributions
+30365,30365,Are normal random variables independent
+30366,30366,Which programming language is used for AI
+30367,30367,How do you code in machine learning
+30368,30368,What is entropy used for
+30369,30369,What does it mean by entropy of an attribute
+30370,30370,How is entropy and enthalpy related
+30371,30371,What is the relationship between Q and Delta H
+30372,30372,Why can't we use regression formulation for classification
+30373,30373,What makes a test accurate
+30374,30374,What is accuracy specificity and sensitivity
+30375,30375,What is the p value for Z score
+30376,30376,How do you find P value from Z on calculator
+30377,30377,How do you find the p value from the z test statistic
+30378,30378,What is p value in Z test
+30379,30379,How does categorical cross entropy work
+30380,30380,What are the two components of feature matching
+30381,30381,Where do you apply reinforcement learning
+30382,30382,How do you reinforce learning
+30383,30383,What is random forest and how does it work
+30384,30384,Can random forest be used for binary classification
+30385,30385,What is the use of activation function
+30386,30386,Which activation function is used in Perceptron
+30387,30387,Which is the coefficient of determination R or R Squared
+30388,30388,What does the error function mean
+30389,30389,How do you find the error of a function
+30390,30390,What is the error function used for
+30391,30391,What is the purpose of the error function
+30392,30392,What are Matlab errors
+30393,30393,What does ERF mean in Matlab
+30394,30394,How does Matlab calculate standard error
+30395,30395,Which step of machine learning process takes more time than normally you expect
+30396,30396,Which one is a step of model learning in machine learning
+30397,30397,Is computer a Turing machine
+30398,30398,What is the difference between MDS and PCA
+30399,30399,What does a correlation coefficient of 0 indicate
+30400,30400,How are word Embeddings calculated
+30401,30401,Who invented Word2vec
+30402,30402,Is an increase in entropy positive or negative
+30403,30403,What happens to a system when entropy increases
+30404,30404,Which reaction leads to an increase in entropy
+30405,30405,What's an example of increasing entropy
+30406,30406,How do you know if entropy is increasing
+30407,30407,What are the requirements for regression analysis
+30408,30408,Why regression is used in research
+30409,30409,Why do researchers use linear regression
+30410,30410,How do you assess integrity
+30411,30411,What do integrity tests claim to measure
+30412,30412,What is meant by non parametric data
+30413,30413,What does exogenous mean in statistics
+30414,30414,What does endogenous mean in statistics
+30415,30415,Why is correlation coefficient better than covariance
+30416,30416,What is the difference between covariance and Pearson's correlation coefficient
+30417,30417,What is the difference between covariance and coefficient of variation
+30418,30418,What is the major weakness of correlational studies
+30419,30419,Is s2 an unbiased estimator of the variance
+30420,30420,What is an unbiased estimator of a population parameter
+30421,30421,What is the purpose of convenience sampling
+30422,30422,How do you calculate precision and accuracy
+30423,30423,What is a good precision recall score
+30424,30424,Why is it called least squares regression
+30425,30425,Is least squares regression the same as linear regression
+30426,30426,What is the least squares regression model
+30427,30427,What is the difference between coefficients R and r2
+30428,30428,How do you find mean in a normal distribution
+30429,30429,How do you find the dissimilarity of a binary variable
+30430,30430,How do you find the dissimilarity of an object in clustering
+30431,30431,What do you mean by dissimilarity measure of two objects
+30432,30432,What you mean by correlation
+30433,30433,What is correlation and types
+30434,30434,What is a rank in Matrix
+30435,30435,What is factorization in machine learning
+30436,30436,How matrices are used in machine learning
+30437,30437,What is differencing in statistics
+30438,30438,What does E stand for in logarithms
+30439,30439,Why is E used as a base
+30440,30440,What is the relation between E and log
+30441,30441,Is log E the same as LN
+30442,30442,What is log E to the base E
+30443,30443,What is Matlab vectorization
+30444,30444,What does it mean to vectorize a function
+30445,30445,Which function is used to automatically vectorize
+30446,30446,What is vectorization Matlab
+30447,30447,How do you write a vector
+30448,30448,What is a vector give an example
+30449,30449,What is vector code
+30450,30450,What is the difference between R2 and adjusted R2 of the two which do you recommend typically using Why
+30451,30451,What does the R2 adjusted actually adjust for
+30452,30452,How do you calculate threshold in logistic regression
+30453,30453,How is threshold determined for classification algorithms
+30454,30454,How do you set the threshold value in logistic regression
+30455,30455,When should regression analysis be done
+30456,30456,What do you mean by consistency of data
+30457,30457,What is multi modal data
+30458,30458,What is multimodal AI
+30459,30459,What is the role of agent in artificial intelligence
+30460,30460,Which can be an agent in artificial intelligence
+30461,30461,What are the measures for testing the kurtosis of a distribution
+30462,30462,What are the units of skewness
+30463,30463,What is skewness explain
+30464,30464,What is skewness in machine learning
+30465,30465,What are the effects of autocorrelation on the OLS estimator
+30466,30466,How do you calculate recall score from confusion matrix
+30467,30467,How do you find precision and recall from confusion matrix in python
+30468,30468,How do you calculate precision and recall from confusion matrix in Matlab
+30469,30469,How do you read a multi class confusion matrix
+30470,30470,What are the kinds of probability sampling
+30471,30471,Which Nonprobability sampling method is probably most often
+30472,30472,What is relative frequency probability
+30473,30473,What is a genetic algorithm in artificial intelligence
+30474,30474,How do you determine which is the independent variable
+30475,30475,Is independent variable the predictor
+30476,30476,What is the difference between the independent dependent predictor outcome response variables
+30477,30477,What is the meaning of predictor variable
+30478,30478,Why do we need linear regression
+30479,30479,Who created the term AI
+30480,30480,Where did the term AI come from
+30481,30481,How was AI discovered
+30482,30482,How do you change a tensor shape
+30483,30483,How do you resize a tensor
+30484,30484,How does Tensorflow reshape work
+30485,30485,What is the key characteristic of the binomial distribution
+30486,30486,What are the parameters of a binomial distribution
+30487,30487,What makes something binomial
+30488,30488,What is a good standard deviation percentage
+30489,30489,How do you determine homogeneity in statistics
+30490,30490,What is the test of homogeneity of variance
+30491,30491,What is the difference between a test of independence and a test of homogeneity
+30492,30492,What is the problem with Heteroskedasticity
+30493,30493,How do you check for Heteroskedasticity in R
+30494,30494,Where is experimental research used
+30495,30495,What type of memory is associative
+30496,30496,What is associative memory in neural network
+30497,30497,Which type of networks can be used for auto association & pattern storage
+30498,30498,What is machine learning theory
+30499,30499,Why theories of learning are important
+30500,30500,What is a multiclass problem
+30501,30501,What is the role of filters in image processing
+30502,30502,How does LMS algorithm work
+30503,30503,What does residuals mean in regression
+30504,30504,What does it mean if the residual is positive
+30505,30505,What is the effect on the coefficients of logistic regression if two predictors are highly correlated
+30506,30506,What tests for the presence of auto correlation between residuals
+30507,30507,What do you mean by partitioning
+30508,30508,Does partitioning improve performance
+30509,30509,What is meant by one way Anova
+30510,30510,What is the difference between a one way and two way Anova
+30511,30511,What data structure would you use to perform a depth first search
+30512,30512,Where is DFS Management snap in
+30513,30513,For what values of A is the matrix invertible
+30514,30514,What does it mean for a transformation to be invertible
+30515,30515,Why is it important to use random selection
+30516,30516,Which uses random sampling
+30517,30517,What are the characteristics of random sampling
+30518,30518,How is marginal effect calculated
+30519,30519,What is marginal impact
+30520,30520,What is an isolated system answers
+30521,30521,How can a study show causation
+30522,30522,How is causation determined
+30523,30523,What study can prove causation
+30524,30524,When would you use a sigmoid kernel
+30525,30525,What's the difference between computer vision and image processing
+30526,30526,What is an image in computer vision
+30527,30527,What are the uses of computer vision
+30528,30528,How do you mitigate bias in AI
+30529,30529,What is Word2vec trained on
+30530,30530,What is language Modelling in NLP
+30531,30531,Is a non parametric test
+30532,30532,Is at test a regression
+30533,30533,Why decision tree is non parametric
+30534,30534,How do precision and accuracy compare
+30535,30535,What is the purpose of precision and accuracy
+30536,30536,How do accuracy and precision relate to reporting information Brainly
+30537,30537,How do we represent precision in reporting a measurement
+30538,30538,How can accuracy and precision affect the result of a measurement
+30539,30539,What does a low P value tell you
+30540,30540,What happens if the p value is less than the significance level
+30541,30541,What does R2 value mean
+30542,30542,Why is coefficient of determination calculated
+30543,30543,What does the r2 value tell you
+30544,30544,What does the coefficient mean
+30545,30545,How do you resolve the issue of uncertain knowledge in AI
+30546,30546,What are the factors of artificial intelligence
+30547,30547,What are the problems with artificial intelligence
+30548,30548,What types of problems should be solved by artificial intelligence
+30549,30549,What are some disadvantages of artificial intelligence
+30550,30550,What is conditional distribution in statistics
+30551,30551,Which countries use artificial intelligence
+30552,30552,What is cluster and types of cluster
+30553,30553,What is clustering discuss different types of clustering
+30554,30554,What is cluster analysis explain
+30555,30555,What is big data explain with example
+30556,30556,What is meant by big data
+30557,30557,How many sample points are there
+30558,30558,What is a sample point
+30559,30559,How do you know how many elements are in a sample space
+30560,30560,What is the element of sample space
+30561,30561,How do you find the disjoint set
+30562,30562,What makes something disjoint
+30563,30563,How do you know if you are disjoint
+30564,30564,Why is edge detection important in image processing
+30565,30565,How segmentation of the image is achieved using edge detectors
+30566,30566,Why is Sobel edge detected
+30567,30567,What does residual sum of squares tell us
+30568,30568,How do you determine the validity of a regression model
+30569,30569,How do you determine which variable is most important
+30570,30570,How do you find the predictor variable
+30571,30571,What are the differences between best first search and hill climbing search with examples )
+30572,30572,What is AO * algorithm
+30573,30573,What are the limitations of A * and AO * algorithm
+30574,30574,What is the evaluation function in a * approach
+30575,30575,What is LDA in Pakistan
+30576,30576,What does the median tell you in statistics
+30577,30577,Why is median used
+30578,30578,How is mean median mode and range used in real life
+30579,30579,What are some real life situations in which the median is preferable to the mean as a measure of central tendency
+30580,30580,Is the mean or median better for central tendency
+30581,30581,What is content based filtering Everfi
+30582,30582,What is content based and collaborative filtering
+30583,30583,Why do neural networks Overfit
+30584,30584,Is OLS regression the same as linear regression
+30585,30585,How do you find accuracy in statistics
+30586,30586,What is accuracy and how do we measure it
+30587,30587,How do you measure accurately
+30588,30588,How do you prove a unitary matrix
+30589,30589,What is the eigenvalue of a matrix
+30590,30590,What does the eigenvalue represent
+30591,30591,What is the formula of mean in continuous series
+30592,30592,How do you find the mean of continuous data
+30593,30593,How do you find the median of a continuous series
+30594,30594,How can we calculate the standard deviation from the series
+30595,30595,What is the formula of continuous series
+30596,30596,What is the formula for calculating standard deviation in individual series
+30597,30597,Why do we find mean deviation
+30598,30598,How do you find the mean median and standard deviation of grouped data
+30599,30599,What is the formula for standard deviation for grouped data
+30600,30600,What is big data and the relationship with data mining
+30601,30601,Is data mining part of big data
+30602,30602,How does data mining and big data analytics differ in terms of their application
+30603,30603,Is data mining and data analysis same
+30604,30604,What data analytics include
+30605,30605,Whats is big data
+30606,30606,What is big data give example
+30607,30607,What is big data in data mining
+30608,30608,What is the role of big data
+30609,30609,How do you mine big data
+30610,30610,What does the range represent in data
+30611,30611,What mid range means
+30612,30612,What is midrange of data
+30613,30613,What Expected variable
+30614,30614,How do you find the expected value and variance
+30615,30615,Why is mean used in statistics
+30616,30616,What does the mean in statistics tell us
+30617,30617,How do you know if a Venn diagram is independent
+30618,30618,What does it mean for an event to be independent
+30619,30619,What does independent events mean in probability
+30620,30620,What is an adversarial example
+30621,30621,What do you mean by time series
+30622,30622,What is a time series problem
+30623,30623,What measures the linear relationship between two variables
+30624,30624,What measures the strength of the linear relationship between the dependent and the independent variable
+30625,30625,How do you quantify the relationship between two variables
+30626,30626,What are the time series forecasting methods
+30627,30627,What is time series classification
+30628,30628,What is artificial intelligence and its uses
+30629,30629,What could general artificial intelligence be used for
+30630,30630,Is location a continuous variable
+30631,30631,What do you mean by uncertainty in AI
+30632,30632,What are the basic assumptions of linear regression
+30633,30633,What is β1 in regression
+30634,30634,Is TensorFlow based on Python
+30635,30635,What is the meaning of test validity
+30636,30636,Which of the following represents the probability of a Type II error
+30637,30637,Why does the probability of making a Type II error increase as we decrease our probability of making a Type I error
+30638,30638,How do you reduce type I and type II errors
+30639,30639,What are the advantages of classification of data
+30640,30640,What are the disadvantages of data mining
+30641,30641,What are the problems with the classification system
+30642,30642,Can you teach yourself to multitask
+30643,30643,What makes it more difficult for you to perform multiple tasks
+30644,30644,How can I improve my ability to multitask
+30645,30645,How do you deal with autocorrelation in regression
+30646,30646,Why is autocorrelation a problem in regression
+30647,30647,What is the problem of autocorrelation in a regression model
+30648,30648,What is interpretation in AI
+30649,30649,What does the kappa value mean
+30650,30650,How do you make a box plot with data
+30651,30651,How is mean represented in box plot
+30652,30652,What are the benefits of using scatter plots with box plots
+30653,30653,How would you describe positively skewed data
+30654,30654,How do you interpret skewness
+30655,30655,How do you interpret skewness and kurtosis in SPSS
+30656,30656,What does skewness mean in SPSS
+30657,30657,What does the skewness statistic indicate
+30658,30658,What is the inductive bias in id3 algorithm
+30659,30659,What is inductive learning in ML
+30660,30660,What is bias in ML
+30661,30661,How do you interpret r2 value
+30662,30662,What does an r2 value of 0.6 mean
+30663,30663,What does r squared equal to 1 mean
+30664,30664,How do you find the coefficient of determination
+30665,30665,Is coefficient of determination r 2
+30666,30666,What are the possible causes of autocorrelation
+30667,30667,What is lag ACF plot
+30668,30668,What are the objectives of statistics
+30669,30669,Why is it important to learn statistics
+30670,30670,What do you learn from statistics
+30671,30671,What are three important reasons for studying statistics
+30672,30672,Why are statistics needed
+30673,30673,Why do we need statistics give three reasons
+30674,30674,How does forward selection work
+30675,30675,Is R2 only for linear regression
+30676,30676,Why is there no r squared for nonlinear regression
+30677,30677,What is the importance of R2 in simple linear regression
+30678,30678,What is signal processing means
+30679,30679,What is quantization theory explain
+30680,30680,What are the applications of CNN
+30681,30681,Why would we use a density curve
+30682,30682,What density plot tells us
+30683,30683,What is density curve definition
+30684,30684,What are the characteristics of a density curve
+30685,30685,What is a density curve quizlet
+30686,30686,How do you draw a density curve
+30687,30687,What does Knn stand for
+30688,30688,What happens to a T distribution as the sample size increases
+30689,30689,What happens to the shape of the distribution of sample means as sample size increases
+30690,30690,What is the sum of the probabilities in any probability distribution
+30691,30691,What is the probability of uniform distribution
+30692,30692,How do you recognize deception
+30693,30693,What is an example of deception
+30694,30694,What is an act of deception
+30695,30695,Is deception the same as lying
+30696,30696,What are signs of deception
+30697,30697,How is Knn implemented
+30698,30698,What is the opposite of beat
+30699,30699,What does stochasticity mean
+30700,30700,What is the opposite of overestimate
+30701,30701,What is the opposite of prove
+30702,30702,What is the difference between stochastic and deterministic
+30703,30703,What are the applications areas in AI
+30704,30704,What does average deviation tell us
+30705,30705,Is it better to have a high or low standard deviation
+30706,30706,What does it mean to interpret the standard deviation
+30707,30707,Does the Monty Hall problem work
+30708,30708,What is interval scale of measurement
+30709,30709,How do you calculate the sample size needed to estimate the population mean
+30710,30710,How do you find the population mean of a sample mean
+30711,30711,What are sample statistics used for
+30712,30712,What kind of data is used in estimation
+30713,30713,What is entropy coding in image compression
+30714,30714,How does K mean work
+30715,30715,Can K means be used for regression
+30716,30716,Why is the median not affected by extreme values
+30717,30717,Is median affected by outliers
+30718,30718,What does correlation and covariance measure quizlet
+30719,30719,What's a good covariance
+30720,30720,How will artificial intelligence improve our lives
+30721,30721,Does artificial intelligence redefine your notion of humanity
+30722,30722,How does artificial intelligence affect humans
+30723,30723,What is the loss function in logistic regression
+30724,30724,How do you find the normal approximation to the binomial distribution
+30725,30725,What is mean by network analysis
+30726,30726,What is the use of network analysis
+30727,30727,What are the types of network analysis
+30728,30728,Why is network analysis important
+30729,30729,Which is the tool to analyze network
+30730,30730,What is the difference between a local minimum and a global minimum
+30731,30731,What is the difference between maxima and local maxima
+30732,30732,What is the relationship between mean and median
+30733,30733,How do the mean and median compare as measures of center
+30734,30734,Are the mean and median the same in a uniform distribution
+30735,30735,How does mean and median compare
+30736,30736,Is the mean greater than the median in a normal distribution
+30737,30737,What is the relationship between mean median and mode in a normal distribution
+30738,30738,What is the relationship between mean mode and median
+30739,30739,What is the relationship among the mean median and mode in a symmetric distribution quizlet
+30740,30740,How would you use the P value to make a decision about the null hypothesis
+30741,30741,What indicates statistical significance
+30742,30742,When should you transform data
+30743,30743,When should you transform skewed data
+30744,30744,How do you back transform log data
+30745,30745,What is the inverse operation of log
+30746,30746,How do you find the inverse of a natural log function
+30747,30747,What does a simple linear regression show
+30748,30748,Is the linear model appropriate for modeling data
+30749,30749,What is an acceptable coefficient of variation
+30750,30750,What is an appropriate measure of variation
+30751,30751,What does strata mean in statistics
+30752,30752,What is a strata variable
+30753,30753,What is a strata in statistics
+30754,30754,How are expert systems created
+30755,30755,What are the two parameters that are involved in normal distribution
+30756,30756,What does temporal analysis mean
+30757,30757,What is temporal dimension in GIS
+30758,30758,For what values of the learning rate will gradient descent converge to the minimum
+30759,30759,How do you interpret ROC AUC
+30760,30760,What does area under the curve tell you
+30761,30761,How do you describe sample size
+30762,30762,Which test is used when two groups are correlated
+30763,30763,What is Jaccard coefficient explain with example
+30764,30764,What is Jaccard index in machine learning
+30765,30765,What is a good similarity index on Turnitin
+30766,30766,How do you calculate similarity index
+30767,30767,What is bootstrap in data mining
+30768,30768,Which distribution has equal mean and variance
+30769,30769,In which probability distribution mean and variance are same
+30770,30770,Are mean and variance the same
+30771,30771,How do you find the standard deviation of a Poisson distribution
+30772,30772,Can you convert a text file to CSV
+30773,30773,How do I change a text file to a file
+30774,30774,How do I convert .txt to MP4
+30775,30775,What type of test is a chi square test
+30776,30776,Is chi square test descriptive statistics
+30777,30777,What type of analysis is t test
+30778,30778,What is the z score corresponding to the median
+30779,30779,How do you find the area of a shaded region z score
+30780,30780,How do you find area with Z score
+30781,30781,How do you find the Z score such that the area under the standard normal curve
+30782,30782,Is regression always linear
+30783,30783,How do you calculate nonlinear regression
+30784,30784,What is neuron in artificial intelligence
+30785,30785,How is density measured
+30786,30786,What is density and how do we measure it
+30787,30787,What is the measuring tool for density
+30788,30788,What is density the measure of
+30789,30789,What do density values tell us
+30790,30790,How do you calculate density example
+30791,30791,How do you find density with Grams and mL
+30792,30792,What is a unit of density
+30793,30793,What does a scale actually measure
+30794,30794,How do we measure density
+30795,30795,What is camera binning
+30796,30796,Is Google an AI
+30797,30797,Is a search engine AI
+30798,30798,How do you calculate degrees of freedom for at test
+30799,30799,How do you find the degrees of freedom for a chi square test of independence
+30800,30800,What is degree of freedom in Chi square distribution
+30801,30801,How many degrees of freedom are there for the chi square test statistic
+30802,30802,What is the meaning of degree of freedom in chi square test
+30803,30803,How do you compute DF for the chi square test for goodness of fit quizlet
+30804,30804,How do you do the goodness of fit test
+30805,30805,What is an image back up
+30806,30806,What accurately describes an image based backup
+30807,30807,What is the difference between a system image backup and a file backup
+30808,30808,What is file level recovery
+30809,30809,When should a paired t test be performed instead of a two sample t test a paired t test should be performed instead of a two sample t test when the observations within each sample are dependent A paired t test should be performed instead of a two
+30810,30810,What is a paired sample t test and when is it used
+30811,30811,How do you know if a paired t test is significant
+30812,30812,Under what condition should we use the t test for the matched samples
+30813,30813,What is the null hypothesis for a paired t test
+30814,30814,How can you tell if data is discrete
+30815,30815,What is considered discrete
+30816,30816,What is an AI translator
+30817,30817,Is Google translate AI
+30818,30818,Why is it called binomial distribution
+30819,30819,What is the use of log transformation
+30820,30820,How do you calculate log transformation
+30821,30821,Which of the following analysis is done when you have two dependent variables Brainly
+30822,30822,Which of the following analysis is done when you have two dependent variables Coursehero
+30823,30823,Can a study have two dependent variables
+30824,30824,Which analysis is the simultaneous analysis of two variables
+30825,30825,How do I compare two variables in SPSS
+30826,30826,Can two dependent variables be correlated
+30827,30827,How do you compare independent and dependent variables
+30828,30828,What are two variable statistics
+30829,30829,What does it mean for 2 variables to have an association
+30830,30830,How do you find the Z score of skewness
+30831,30831,Are Z scores rounded
+30832,30832,What is the difference between correlation association and causation
+30833,30833,What does correlation mean
+30834,30834,How do I get rid of an association
+30835,30835,What does CA stand for
+30836,30836,What does CA mean in states
+30837,30837,Is California a state
+30838,30838,Can XGBoost be used for regression
+30839,30839,Is XGBoost linear regression
+30840,30840,How does XGBoost regression work
+30841,30841,What is XGBoost regression
+30842,30842,Is gradient boosting linear
+30843,30843,Can gradient boosting be used for regression
+30844,30844,Is XGBoost a linear model
+30845,30845,Which series are listed in a class interval
+30846,30846,What is the difference between regression and time series forecasting
+30847,30847,What is difference between prediction and forecasting
+30848,30848,How can you prevent bias in an experiment
+30849,30849,How can bias affect an investigation
+30850,30850,What are the consequences of bias
+30851,30851,What is variation and standard deviation
+30852,30852,What does the mean and standard deviation mean
+30853,30853,What does the value of standard deviation tell you
+30854,30854,What is the definition of the metric system
+30855,30855,What is the metric system called
+30856,30856,How do you improve test accuracy
+30857,30857,How do you model a neural network
+30858,30858,What is Gaussian in image processing
+30859,30859,How many and which basic image processing processes are performed by a Laplacian of Gaussian LoG filter
+30860,30860,What does kernel mean in SVM
+30861,30861,What is support vector machine explain its model
+30862,30862,What is SVM RBF kernel
+30863,30863,What does anomaly mean
+30864,30864,How do you find the normal distribution of the uniform distribution
+30865,30865,Can any distribution be converted to a normal distribution
+30866,30866,How does a machine learning algorithm learn
+30867,30867,Is P value of 0.000 significant
+30868,30868,Is 0.008 statistically significant
+30869,30869,What is a normal distribution and what conditions make a distribution normal quizlet
+30870,30870,Is reinforcement learning supervised learning
+30871,30871,What do we mean by a linear regression model
+30872,30872,How does the central limit theorem relate to confidence intervals
+30873,30873,What conditions are necessary for creating confidence intervals for the population mean
+30874,30874,What is output unit with example
+30875,30875,What is input unit example
+30876,30876,What is the difference between input unit and output unit
+30877,30877,What IO means
+30878,30878,What is input or output unit
+30879,30879,How do you interpret a negative coefficient
+30880,30880,What does a negative coefficient mean in logistic regression
+30881,30881,How do you explain a negative correlation
+30882,30882,How do you find critical value on TI 84
+30883,30883,Where is the nCr button on a TI 84
+30884,30884,How do you improve linear regression
+30885,30885,How do you increase the accuracy of a linear regression model
+30886,30886,What makes a good linear model
+30887,30887,How many types of inferential statistics are there
+30888,30888,What are the 4 types of inferential statistics
+30889,30889,What are inferential statistical tests
+30890,30890,What are inferential methods
+30891,30891,What are the two main branches of inferential statistics
+30892,30892,What are the methods of inferential statistics
+30893,30893,What are the two types of statistical methods
+30894,30894,Why do we use odds ratio for Case Control
+30895,30895,What does the odds ratio estimate in a case control study
+30896,30896,Can odds ratio be used in Cohort Study
+30897,30897,How do you validate data in machine learning
+30898,30898,What is the difference between probability and statistical inference
+30899,30899,What is probability probability and statistics
+30900,30900,How does understanding probability help us understand statistics
+30901,30901,Who made important links between probability and statistics
+30902,30902,What is the difference between statistical inference and probability
+30903,30903,How are probability and statistics applied in real life
+30904,30904,What is the concept of probability in statistics
+30905,30905,What is the application of probability and statistics
+30906,30906,What is the use of exploratory data analysis
+30907,30907,What is FC in CNN
+30908,30908,How many types of convolution are there
+30909,30909,What is the importance of estimation
+30910,30910,What is the meaning of Z score
+30911,30911,Are covariates independent variables
+30912,30912,What is the purpose of covariates
+30913,30913,What is a covariate in Anova
+30914,30914,What are factors and covariates in SPSS
+30915,30915,Which of the following sentences best describes a covariate
+30916,30916,Which is not a regularization method *
+30917,30917,What does regularization do
+30918,30918,Can you find mean and median from histogram
+30919,30919,Is the center of a histogram the median
+30920,30920,How do you know if something is a statistic or parameter
+30921,30921,What is the difference between parameters and statistics given an example
+30922,30922,Is μ a parameter or a statistic
+30923,30923,What statistic means
+30924,30924,What is amplitude and phase spectrum
+30925,30925,What is amplitude density spectrum
+30926,30926,What is Fourier amplitude
+30927,30927,What is an amplitude spectrum
+30928,30928,How do you find amplitude of a signal
+30929,30929,What is magnitude in Fourier Transform
+30930,30930,What is the magnitude of a signal
+30931,30931,How do you read a FFT plot
+30932,30932,Why P value is not significant
+30933,30933,What does frequency mean in statistics
+30934,30934,What is a multimodal approach
+30935,30935,What is the meaning of epoch in neural network
+30936,30936,What is an epoch in neural network
+30937,30937,Why are multiple epochs needed for deep learning
+30938,30938,What is variable define with example
+30939,30939,What does a correlation of 0.03 mean
+30940,30940,How do you get Excel to count frequency of a value
+30941,30941,What are the types of validity in assessment
+30942,30942,What is meant by validity and reliability in assessment
+30943,30943,What is reliability in assessment
+30944,30944,How do you know if an assessment is valid and reliable
+30945,30945,How do you ensure validity reliability and fairness of assessment decisions
+30946,30946,What is the difference between validity and reliability give an example of each
+30947,30947,What is the critical value of F at the 0.02 level of significance
+30948,30948,What is the critical value for alpha .01 two tailed test
+30949,30949,What is non causal association
+30950,30950,What does it mean to say that correlation is not causation
+30951,30951,Which services return bounding box coordinates
+30952,30952,What is meant by basis function
+30953,30953,What is an image filter
+30954,30954,What is smoothness in image processing
+30955,30955,What is smoothing spatial filter
+30956,30956,What is image smoothing and sharpening
+30957,30957,How are decision trees used
+30958,30958,How does decision tree work in machine learning
+30959,30959,When would you use random forest over SVM
+30960,30960,What is a fallacy
+30961,30961,How do you find a data set
+30962,30962,What is a way to find a set of data in a range
+30963,30963,How do I download datasets for machine learning
+30964,30964,What is datasets for machine learning
+30965,30965,What are some sources of data that could be used for machine learning
+30966,30966,What do you understand by computer vision
+30967,30967,Why Computer vision is good for deep learning
+30968,30968,How do you prove two events are not independent
+30969,30969,Are two independent events complementary
+30970,30970,How do you prove that complement and B complement are independent
+30971,30971,How do you solve for class boundaries
+30972,30972,Can class boundaries be negative
+30973,30973,How is AUC value calculated
+30974,30974,How do you find the AUC trapezoidal rule
+30975,30975,What is AUC area under the curve
+30976,30976,What are the different dimensions of international communication
+30977,30977,What are the theories of international communication
+30978,30978,What is the purpose of using randomized quicksort over standard quick sort
+30979,30979,How do you use divergence theorem
+30980,30980,How do you calculate divergence
+30981,30981,What does divergence mean in math
+30982,30982,How do I read ARMA model results
+30983,30983,What does the normality test tell us
+30984,30984,What does P value mean in normality test
+30985,30985,What is a good P value for normal distribution
+30986,30986,How do I know if my p value is normally distributed
+30987,30987,How do you describe uniform distribution
+30988,30988,What are the properties of uniform distribution
+30989,30989,Why do we classify images
+30990,30990,How many images are there in image classification
+30991,30991,What is SPSS test
+30992,30992,How do you do statistics in SPSS
+30993,30993,What is P in binomial distribution
+30994,30994,How do you find P in a probability distribution
+30995,30995,How do you find the probability of a binomial model
+30996,30996,How do you find probability using N and P
+30997,30997,What is N and P in binomial distribution
+30998,30998,Under what conditions would a test be considered a one tailed test
+30999,30999,Is normalization required for linear regression
+31000,31000,Do we need to normalize test data
+31001,31001,What does normalize data mean
+31002,31002,What's the meaning of normalize
+31003,31003,How do you Normalise data
+31004,31004,When did AI begin
+31005,31005,How long has artificial intelligence existed
+31006,31006,How do you make a deep learning model
+31007,31007,How do I create a TensorFlow model
+31008,31008,How do I create a deep neural network
+31009,31009,What is partitioning and how is it used
+31010,31010,How does artificial neural network work
+31011,31011,What does unconscious bias mean
+31012,31012,What is unconscious bias examples
+31013,31013,How do you identify unconscious bias
+31014,31014,What is the relationship between entropy and knowledge
+31015,31015,How do you find the entropy of an image
+31016,31016,What is entropy in image compression
+31017,31017,What is energy of an image
+31018,31018,Does the sample mean equal the population mean
+31019,31019,How do you determine sample and population
+31020,31020,How do we calculate population
+31021,31021,How do you infer population mean from sample mean
+31022,31022,Is range a measure of distance
+31023,31023,Is the range is a measure of central tendency
+31024,31024,Is range a statistic
+31025,31025,Is range a measure of spread
+31026,31026,Is spread and range the same thing
+31027,31027,What is the purpose of a measure of location quizlet
+31028,31028,What is AIC and BIC in regression
+31029,31029,How do you calculate AIC
+31030,31030,What is BIC and AIC
+31031,31031,What is AIC in machine learning
+31032,31032,How is BIC calculated
+31033,31033,What makes a binomial experiment
+31034,31034,What is the use of expert system
+31035,31035,What is statistical analysis in data science
+31036,31036,What is Anova explain its uses and applications
+31037,31037,Why is it called Anova
+31038,31038,What can cause bias
+31039,31039,How do you eliminate bias in statistics
+31040,31040,What is a biased sample in statistics
+31041,31041,How is statistics used in sociology
+31042,31042,How can keras reduce learning rate
+31043,31043,What are the limitations of intelligence test
+31044,31044,What are the limits of human intelligence
+31045,31045,What are the pros and cons of intelligence testing
+31046,31046,Under what conditions is it reasonable to assume that a distribution of means will follow a normal curve
+31047,31047,Why do we consider sampling distribution
+31048,31048,What is the standard error of a sampling distribution
+31049,31049,Why is sampling distribution normal
+31050,31050,What is the purpose of exploratory factor analysis
+31051,31051,How do you do exploratory factor analysis
+31052,31052,What are the two main forms of factor analysis
+31053,31053,What is advanced artificial intelligence
+31054,31054,What is the most advanced form of artificial intelligence
+31055,31055,What technology is used in artificial intelligence
+31056,31056,What is probabilistic model in information retrieval
+31057,31057,What is a vector data model
+31058,31058,What is vector data model in GIS
+31059,31059,What is the difference between vector and raster data models
+31060,31060,What are the text retrieval methods and explain
+31061,31061,What is segmentation of an image
+31062,31062,What are the two approaches to segmentation in image processing
+31063,31063,What is image segmentation PDF
+31064,31064,What is image segmentation and its types
+31065,31065,What is image segmentation in data science
+31066,31066,Which method is used for image segmentation
+31067,31067,Why do we need thresholding in image processing
+31068,31068,What is the difference between standard deviation and sample variance
+31069,31069,Is sample variance the same as standard error
+31070,31070,What is sample variance and population variance
+31071,31071,What do you mean by central tendency in statistics
+31072,31072,What is central tendency and its types
+31073,31073,How do you calculate central value
+31074,31074,What is central value in statistics
+31075,31075,Which is the measure of central value
+31076,31076,What is the importance of probability sampling for qualitative researchers
+31077,31077,How do I encrypt text with RSA
+31078,31078,What is RSA encryption and how does it work
+31079,31079,What is the mode interval for the set of data
+31080,31080,What does modal mean
+31081,31081,What is the formula for mode
+31082,31082,How do you calculate the mode if there are two
+31083,31083,How do you find the mode and median
+31084,31084,What is segmentation ML
+31085,31085,What is the difference between segmentation and classification
+31086,31086,Why is segmentation needed in image processing
+31087,31087,How segmentation is done in image processing
+31088,31088,What are the types of segmentation in image processing
+31089,31089,What is mask in segmentation
+31090,31090,What does masking an image mean
+31091,31091,What is K classification
+31092,31092,Do you need to standardize data for K means
+31093,31093,What does a paired t test tell you
+31094,31094,What is the difference between a paired t test and a regular t test
+31095,31095,What is an example of a paired t test
+31096,31096,When would you use an unpaired t test
+31097,31097,Why do decision trees have high variance
+31098,31098,What is the most appropriate measure of spread for a dataset which is highly skewed to either the left or right
+31099,31099,Is skewness a measure of spread
+31100,31100,How does CNN filter work
+31101,31101,What is target variable in regression
+31102,31102,Do we need to scale dependent variable
+31103,31103,Do we need to scale data for linear regression
+31104,31104,Why do we scale variables
+31105,31105,How do I get task scheduler to run in the background
+31106,31106,What does 0x1 mean in Task Scheduler
+31107,31107,Why is it important to identify and control variables
+31108,31108,What would happen if we do not identify the control variable
+31109,31109,What is the importance of variables
+31110,31110,What is the saddle point of a matrix
+31111,31111,How do you calculate saddle points
+31112,31112,How do you find a saddle point
+31113,31113,What is saddle point
+31114,31114,How do you find local Max and saddle points
+31115,31115,Are saddle points local maximum minimum
+31116,31116,How is cluster analysis calculated
+31117,31117,What are density plots used for
+31118,31118,What does density plot y axis mean
+31119,31119,How do you draw a probability density function
+31120,31120,How do you graph probability distribution functions
+31121,31121,How do you graph probability density in Excel
+31122,31122,How do you find the probability of a density curve
+31123,31123,What is significance level in regression analysis
+31124,31124,What is SIG in regression
+31125,31125,What is a 0.01 significance level
+31126,31126,What is difference between actual and formal parameter
+31127,31127,What is the difference between actual parameter and formal parameter in C
+31128,31128,What are generative and discriminative classifiers
+31129,31129,What does Fourier analysis do
+31130,31130,How does fourier transform work
+31131,31131,What are the 4 steps to solving an equation
+31132,31132,How do you determine if a portfolio lies on the efficient frontier
+31133,31133,What does it mean when a variable is continuous
+31134,31134,What does the Z value tell you
+31135,31135,Why do we use skewness and kurtosis
+31136,31136,What does negative value of kurtosis mean
+31137,31137,What is input to a classifier
+31138,31138,What are different types of classifiers
+31139,31139,What is meant by TF term frequency
+31140,31140,What is ROC in machine learning
+31141,31141,What is General Intelligence quizlet
+31142,31142,Which procedure is used to identify clusters of related items that define g or general intelligence
+31143,31143,Why is a scatter plot important
+31144,31144,How do the points of the scatter plot fit the regression line
+31145,31145,What is scatter diagram and how is it useful in the study of correlation
+31146,31146,What is the regression line in a scatter plot
+31147,31147,What is a scatter plot used to show
+31148,31148,What is K in data
+31149,31149,What is the meaning of K in K means clustering
+31150,31150,What are the limitations of normal distribution
+31151,31151,Why should errors be normally distributed
+31152,31152,Can a normal distribution be used as a model for the variable
+31153,31153,Under what circumstances will the distribution of sample means be normal
+31154,31154,Under what conditions will the sampling distributions of the sample mean be normal
+31155,31155,What is the difference between population mean and sample mean
+31156,31156,What is the difference between mean and Mu
+31157,31157,What describes auto associative network
+31158,31158,What is the difference between observed values and predicted values in regression
+31159,31159,What does it mean for two categorical variables to be associated
+31160,31160,What are the principles of sampling
+31161,31161,What do you use logistic regression for
+31162,31162,What are the statistical tools
+31163,31163,What is statistical tool in research
+31164,31164,What is the purpose of tests of statistical significance in an experiment
+31165,31165,When testing for the difference between the means of two related populations the usual null hypothesis for the test is
+31166,31166,What type of test statistic is used for a two proportion hypothesis test
+31167,31167,What is the test statistic for the difference between the means
+31168,31168,What does simple regression mean
+31169,31169,What do we mean when we say that a simple linear regression model is statistically useful
+31170,31170,What is meant by simple regression
+31171,31171,How does sample size effect a study
+31172,31172,What is the difference between standard error and sampling error
+31173,31173,How does sample size affect effect size
+31174,31174,What does a normal curve show
+31175,31175,What are the characteristics of a normal distribution curve
+31176,31176,What determines the shape of a normal distribution curve
+31177,31177,What is fold in machine learning
+31178,31178,What is the purpose of using multiple regression analysis
+31179,31179,What is the meaning of multiple regression
+31180,31180,What is meant by multiple regression analysis in machine learning
+31181,31181,What is linear and multiple regression
+31182,31182,Is linear regression the same as multiple regression
+31183,31183,Why are support vector machines a popular machine learning technique
+31184,31184,Who invented variational Autoencoders
+31185,31185,Why do we use Autoencoders
+31186,31186,What are Denoising Autoencoders
+31187,31187,Is big data the same as AI
+31188,31188,Does AI need big data
+31189,31189,What is the relationship between big data and artificial intelligence
+31190,31190,Does AI use data
+31191,31191,What is logistic population growth model
+31192,31192,How do you find the logistic growth model
+31193,31193,What means logistic growth
+31194,31194,Why is it called logistic growth
+31195,31195,What is an assumption of the logistic model of population growth quizlet
+31196,31196,Which of the following is an assumption made by the logistic model
+31197,31197,What are the virtues of the logistic model
+31198,31198,Is the logistic growth model an accurate predictor of human population growth
+31199,31199,What is the equation for population size
+31200,31200,What is Tokenize NLP
+31201,31201,What does Tokenizing mean
+31202,31202,What is the meaning of data analysis
+31203,31203,What is data analysis and why is it important
+31204,31204,What do you mean by data analysis
+31205,31205,What do you write in a data analysis
+31206,31206,What are the major types of data analysis
+31207,31207,How many types of data analytics are there
+31208,31208,Is error normally distributed
+31209,31209,What is an error distribution
+31210,31210,Do residuals have to be normally distributed
+31211,31211,How do you find simple random sampling
+31212,31212,How do you find simple random sample on TI 84
+31213,31213,What is simple random sampling advantages and disadvantages
+31214,31214,What is simple random sampling in research
+31215,31215,What is the purpose of sampling
+31216,31216,What is the difference between a binomial and geometric distribution
+31217,31217,Is likelihood same as probability
+31218,31218,How do you calculate cumulative probability
+31219,31219,How do you test for Multicollinearity in logistic regression
+31220,31220,Is Multicollinearity a problem in logistic regression
+31221,31221,What is collinearity diagnostics SPSS
+31222,31222,How do you handle multicollinearity in regression
+31223,31223,How do you deal with Multicollinearity in R
+31224,31224,How do you check for Multicollinearity in logistic regression in R
+31225,31225,What is meant by the term decision analysis
+31226,31226,What is mean by reinforcement learning
+31227,31227,What is list in data structure and algorithm
+31228,31228,What is the example of correlational
+31229,31229,What is correlational in your own words
+31230,31230,What is the meaning of correlation in statistics
+31231,31231,How do you find the weighted mean difference
+31232,31232,How do you calculate mean difference between effect size
+31233,31233,What does an ACF plot show
+31234,31234,How do you find ACF in R
+31235,31235,What is cross correlation in time series
+31236,31236,Why do we use convolutions for images rather than just FC layers
+31237,31237,What are convolutions used for
+31238,31238,What are the applications of supervised learning
+31239,31239,What are different types of supervised learning in machine learning
+31240,31240,What can be achieved with machine learning
+31241,31241,How do you increase precision in machine learning
+31242,31242,Does model tuning helps to increase the accuracy
+31243,31243,What is used for model fine tuning and optimization
+31244,31244,How do you develop a machine learning model
+31245,31245,What is modeling in machine learning
+31246,31246,What are Bayesian statistics used for
+31247,31247,How important is Bayesian statistics
+31248,31248,What is the meaning of probability
+31249,31249,What is entropy of source
+31250,31250,How do you calculate entropy of data
+31251,31251,What does it mean when data is independent
+31252,31252,Why Does entropy increase
+31253,31253,Which state has higher entropy
+31254,31254,What is considered high entropy
+31255,31255,What are the applications of linear algebra
+31256,31256,How do you apply a linear system application
+31257,31257,What is linear application
+31258,31258,What is the application of matrix multiplication
+31259,31259,What conditions should be met to insure that a sampling distribution of sample proportions is normal
+31260,31260,When can the distribution of the sample proportion be approximated by a normal distribution
+31261,31261,What do the edges in a decision tree represent
+31262,31262,What is the purpose of a modified Boxplot
+31263,31263,What is a comparative Boxplot
+31264,31264,How do you compare and contrast box plots
+31265,31265,What is the difference between a box plot and a box and whisker plot
+31266,31266,How do you interpret Boxplot results
+31267,31267,What is the role of the box plots in statistics
+31268,31268,What is needed for a box plot
+31269,31269,What causes model Overfitting
+31270,31270,Why is Overfitting data bad
+31271,31271,Why is the t test good
+31272,31272,Why are t statistics more variable than Z
+31273,31273,How is Robert's edge detector working
+31274,31274,What is non maximum suppression in Canny edge detection
+31275,31275,How can I improve my canny edge detection
+31276,31276,What is the Poisson distribution formula
+31277,31277,What is the problem of multicollinearity
+31278,31278,What is multicollinearity in regression
+31279,31279,What is Bayes theorem in data mining
+31280,31280,What statistical tool is used for significant relationships
+31281,31281,How can you use statistical methods to find relationships between variables
+31282,31282,What is difference between nominal and ordinal level data
+31283,31283,What are different levels of measurement
+31284,31284,What is the difference between data measured on an interval scale and data measured on a ratio scale Mcq
+31285,31285,What is interval and ordinal data
+31286,31286,What is an example of interval data
+31287,31287,Why it is important to distinguish between scales of measurement
+31288,31288,Is L1 loss differentiable
+31289,31289,Which loss function is most sensitive to outliers
+31290,31290,How do you do conditional probability with a tree diagram
+31291,31291,What is Modelling in data compression
+31292,31292,What is classification and why do we use it
+31293,31293,What is classification short answer
+31294,31294,What does smoothing the data mean
+31295,31295,What is the purpose of smoothing a time series data
+31296,31296,What is the function of image smoothing
+31297,31297,What is meant by smoothing techniques
+31298,31298,What is smoothing in data science
+31299,31299,What is smoothing in AI
+31300,31300,What is the expected value at node 4
+31301,31301,What is a decision node
+31302,31302,How does Decision Tree calculate probability
+31303,31303,What is a pure node in decision tree
+31304,31304,What are the 2 types of reasoning
+31305,31305,What is the difference between learning and reasoning
+31306,31306,What are the various techniques for the reasoning
+31307,31307,What are investigator effects
+31308,31308,How can demand characteristics be reduced
+31309,31309,How do you sample from a multivariate distribution
+31310,31310,What does R and R2 mean in statistics
+31311,31311,Is squared error loss function convex
+31312,31312,What is the difference between SGD and the naive gradient descent
+31313,31313,What is a disadvantage of using the mean
+31314,31314,What does 48MP mean
+31315,31315,How do you calculate a weighted grading scale
+31316,31316,How do I calculate a weighted average
+31317,31317,How do you calculate sample weight
+31318,31318,Why do we perform SVD of a matrix
+31319,31319,Is SVD linear
+31320,31320,How do purposive and quota sampling differ
+31321,31321,What are the two major types of purposive sampling
+31322,31322,How do you calculate the probability of a normal distribution
+31323,31323,How do you find the probability of a normal distribution on a calculator
+31324,31324,What is test retest reliability
+31325,31325,Which of the following is true of test retest reliability
+31326,31326,What is the best definition of test retest reliability quizlet
+31327,31327,How do you evaluate test retest reliability
+31328,31328,What are some assumptions of test retest reliability
+31329,31329,What Cronbach alpha is acceptable
+31330,31330,What does test retest reliability tell you
+31331,31331,What occurs in an assessment of test retest reliability
+31332,31332,How do you find the true mean in statistics
+31333,31333,What does σ2 mean in statistics
+31334,31334,What is the mean of a sample called
+31335,31335,What is the set of all possible outcomes of a probability experiment
+31336,31336,What is the term for a collection of outcomes from a probability experiment
+31337,31337,How do you find possible outcomes in probability
+31338,31338,When should we use Anova analysis
+31339,31339,What is RMS in statistics
+31340,31340,What does quartile 2 represent
+31341,31341,What are neurons
+31342,31342,Is hour a categorical variable
+31343,31343,How do you find the median of a continuous probability distribution
+31344,31344,How do you find the median of a continuous variable
+31345,31345,How do you find the median of a distribution
+31346,31346,How do you find the mean of a continuous distribution
+31347,31347,How do you find the precise median
+31348,31348,How do you find the mid value of a continuous series
+31349,31349,How do you find the median of an even amount of data
+31350,31350,How do you find the median when given the frequency
+31351,31351,How do you find the median of data
+31352,31352,How long has Artificial Intelligence AI existed in years
+31353,31353,How can sampling error be corrected
+31354,31354,Can you prove anything with statistics
+31355,31355,Why statistics can be misleading
+31356,31356,What is accuracy of a model
+31357,31357,How do you calculate principal components
+31358,31358,How do you find the principal components of a covariance matrix
+31359,31359,What do you mean by principal component
+31360,31360,How do you conduct a principal component analysis in SPSS
+31361,31361,How do I track social media metrics
+31362,31362,How do I read FB Analytics
+31363,31363,What is social media analytics
+31364,31364,What is social media analytics tool
+31365,31365,What can you do with social media analytics
+31366,31366,How do you do a social media analysis
+31367,31367,What are social media analytics tools
+31368,31368,What can social media analytics tools help
+31369,31369,What are social media insights
+31370,31370,What is batch normalization
+31371,31371,How do you batch normalize in Tensorflow
+31372,31372,How do you predict probability in R
+31373,31373,What is the coding system of a nervous message
+31374,31374,What generally is the difference between the sparse coding and population coding views of object perception
+31375,31375,How do nerve impulses code information
+31376,31376,What is Regularised regression
+31377,31377,What does a maximum likelihood estimator Maximise
+31378,31378,What does the T value tell you in at test
+31379,31379,What does a t test prove
+31380,31380,What does LSI mean
+31381,31381,What is the parameter of an exponential distribution
+31382,31382,How do you find the rate parameter
+31383,31383,What is TensorFlow written in
+31384,31384,What does TensorFlow run on
+31385,31385,How do I learn TensorFlow 2
+31386,31386,When did TensorFlow 2 come out
+31387,31387,How do you compare the efficiency of two algorithms
+31388,31388,How do you compare performance of various algorithms
+31389,31389,Which type of algorithm used against multiple systems is the best way in which to compare two similar algorithms that perform the same task or benchmarking
+31390,31390,How do you measure an algorithm
+31391,31391,How do you find the exact binomial probability
+31392,31392,What determines the shape of the normal curve Why
+31393,31393,What does the shape of at distribution depend on
+31394,31394,Do all normal distributions have the same shape
+31395,31395,Is Predictive Analytics artificial intelligence
+31396,31396,Is predictive analytics part of data science
+31397,31397,What is predictive intelligence
+31398,31398,What are the three characteristics of normal distribution
+31399,31399,How many normal distributions are there
+31400,31400,What is the difference between standard normal distribution and normal distribution
+31401,31401,What is a feature vector in machine learning
+31402,31402,What is matrix in machine learning
+31403,31403,What is feature space in pattern recognition
+31404,31404,What is a feature dimension
+31405,31405,How do I improve my meta description
+31406,31406,What is the purpose of an optimized meta description
+31407,31407,What is metadata optimization
+31408,31408,What happens if naïve Bayes main assumption is not supported
+31409,31409,Why is naive Bayes called naive Mcq
+31410,31410,What is the naive Bayes algorithm used for MCQ
+31411,31411,Why is naive Bayesian classification called naive briefly outline the major ideas of naive Bayesian classification
+31412,31412,When can a feature independence assumption be reasonable and when not
+31413,31413,What are the limitations of semantic networks
+31414,31414,How important are semantic networks in artificial intelligence
+31415,31415,What does MU mean in statistics
+31416,31416,What is MU in standard deviation
+31417,31417,What is Mu and Sigma
+31418,31418,What is the mean and variance of a random variable
+31419,31419,What is σ2
+31420,31420,What is a vector vector
+31421,31421,How do you determine if a matrix is a vector space
+31422,31422,How can you distinguish between a vector in a plane and a vector in a space
+31423,31423,Which offset is used in linear regression
+31424,31424,What is offset in machine learning
+31425,31425,What is the link function in a Poisson regression model
+31426,31426,What are the 2 types of probability
+31427,31427,How do you find the squared residual
+31428,31428,What does sum of squared residuals mean
+31429,31429,How do you calculate residuals
+31430,31430,How do you find the sum of the squares of the residuals
+31431,31431,What is total sum of squares in statistics
+31432,31432,What are two differences between Anova and t tests
+31433,31433,Why is standard deviation square root
+31434,31434,What is RMS in stats
+31435,31435,What is the difference between random sample and simple random sample quizlet
+31436,31436,What is the difference between a random sample and a simple random sample choose the correct answer below
+31437,31437,What is an example of a simple random sample
+31438,31438,What is sampling discuss different types of sampling
+31439,31439,What does stratification mean in random sampling quizlet
+31440,31440,What is stratified sampling Class 11
+31441,31441,What is systematic sampling quizlet
+31442,31442,How do you find the integral of convolution
+31443,31443,What are properties of convolution
+31444,31444,What is the convolution integral
+31445,31445,What is law of effect in learning
+31446,31446,What is Thorndike theory of learning
+31447,31447,What is Skinner's theory of learning
+31448,31448,How did Skinner's work in behaviorism differ from Thorndike's work
+31449,31449,What were the contributions of Thorndike and Skinner
+31450,31450,How do you know if residuals are normally distributed
+31451,31451,What do you mean by hierarchical clustering
+31452,31452,How do you find the Kappa confidence interval in SPSS
+31453,31453,How do you calculate intraclass correlation in SPSS
+31454,31454,How do you write a decision tree
+31455,31455,How many nodes are there in a decision tree
+31456,31456,What is the truth value of p q
+31457,31457,Is p q True or false
+31458,31458,When P is false and Q is true
+31459,31459,Which of the following is the inverse of P → Q
+31460,31460,Which is the inverse of P → Q Brainly
+31461,31461,What is embedding vector
+31462,31462,Why is analytics used
+31463,31463,What is the study of analytics
+31464,31464,What is residual deviance
+31465,31465,How do you find the residual deviance
+31466,31466,What are residuals in logistic regression
+31467,31467,What is the function to get both eigen values and eigen vectors of a matrix
+31468,31468,How do you find eigenvalues and eigenvectors of a matrix
+31469,31469,Can two eigenvalues have the same eigenvector
+31470,31470,What does an eigenvector do
+31471,31471,Can eigenvectors be different
+31472,31472,What are the different sources of error in sampling survey
+31473,31473,How is sampling error determined
+31474,31474,What is one problem with sampling bias
+31475,31475,What are factors causing sampling error
+31476,31476,How are t test and Anova related
+31477,31477,What are parameters in binomial distribution
+31478,31478,What is parameter in statistics with example
+31479,31479,Why is lognormal distribution used
+31480,31480,Why are stock prices log normal
+31481,31481,What is Cauchy random variable
+31482,31482,What is Cauchy distribution used for
+31483,31483,How do you create a Cauchy random variable
+31484,31484,Why do we use inferential statistics inferential statistics are used to help us to show the difference between the sample and the whole population inferential statistics are used to help us to Generalise from the sample to the whole population inferential statistics are used to help us to compare the sample
+31485,31485,What are the three distributions used in inferential statistics
+31486,31486,How does standard error affect confidence interval
+31487,31487,What happens to confidence interval as standard deviation increases
+31488,31488,What happens when confidence interval increases
+31489,31489,How does standard deviation effect confidence interval
+31490,31490,Is confidence interval the standard deviation
+31491,31491,How does confidence level affect confidence interval
+31492,31492,What is the relationship between the confidence level and margin of error
+31493,31493,What is the relationship between the confidence interval and the margin of error quizlet
+31494,31494,Does margin of error increase with confidence interval
+31495,31495,How does confidence interval reduce margin of error
+31496,31496,Which machine learning algorithm is best for sentiment analysis
+31497,31497,What kind of technique would you use for sentiment analysis
+31498,31498,How do you assess sustained attention
+31499,31499,What are different levels of attention
+31500,31500,What is the difference between attention and concentration
+31501,31501,What is the difference between focus attention and concentration
+31502,31502,How do you define attention
+31503,31503,How can I improve my attention skills
+31504,31504,What is the origin of the word glove
+31505,31505,What is an example of interval measurement
+31506,31506,What is interval of data
+31507,31507,Is age an example of interval data
+31508,31508,What is an example of ratio data
+31509,31509,What is interval ratio
+31510,31510,What is the difference between interval ratio and ordinal variables
+31511,31511,What is controlled by positive feedback
+31512,31512,Which functions are controlled by a positive feedback loop
+31513,31513,What's an example of a positive feedback loop
+31514,31514,What does Levene's test for equality of variances mean
+31515,31515,How do you interpret the Levene test for homogeneity of variance
+31516,31516,What if Levene's test is significant in Anova
+31517,31517,What is the null hypothesis when using Anova procedures
+31518,31518,What is the null hypothesis for a one way Anova
+31519,31519,What is the null hypothesis for Anova for a regression equation
+31520,31520,What is membership function in fuzzy set
+31521,31521,Why membership functions are used in fuzzy logic
+31522,31522,What is the T value in regression
+31523,31523,How do you read a correlation chart
+31524,31524,What does an R value of 0.8 mean
+31525,31525,Is 0.48 A strong correlation
+31526,31526,What is a unit in neural network
+31527,31527,What are hidden units
+31528,31528,What is spark in machine learning
+31529,31529,What is spark ml pipeline
+31530,31530,What is Spark used for
+31531,31531,What is Databricks
+31532,31532,What is Spark and its components
+31533,31533,What spark is used for
+31534,31534,What is the difference between Bayesian estimate and maximum likelihood estimation
+31535,31535,What is the purpose of the t test in statistics
+31536,31536,What is discrete choice modeling
+31537,31537,What is binary choice model
+31538,31538,What are the methods of sample size determination
+31539,31539,What is mAP score in deep learning
+31540,31540,What is the Fourier basis
+31541,31541,Why is data classification important
+31542,31542,Is Count Data nominal or ordinal
+31543,31543,What kind of data is count data
+31544,31544,How do you analyze counting data
+31545,31545,When can count data be considered continuous
+31546,31546,What does count data mean in statistics
+31547,31547,What do the terms P value coefficient and r squared value mean
+31548,31548,How do you interpret P values in R
+31549,31549,Is R used in machine learning
+31550,31550,Is R good for deep learning
+31551,31551,Is R used in AI
+31552,31552,What is misclassification rate of a classifier
+31553,31553,What is the difference between keras TensorFlow and Pytorch
+31554,31554,What is the meaning of eigenvalues and eigenvectors
+31555,31555,What is data sparsity problem
+31556,31556,How do you construct a covariance matrix
+31557,31557,How do you explain a covariance matrix
+31558,31558,How do you write covariance
+31559,31559,What is K in binomial theorem
+31560,31560,What is the variable K in statistics
+31561,31561,What is r in binomial distribution
+31562,31562,What does R mean in probability
+31563,31563,What is the inverse transformation
+31564,31564,What is inverse transformation technique explain
+31565,31565,What is the inverse of a linear transformation
+31566,31566,How do you interpret inverse functions
+31567,31567,What is the rule of inverse function
+31568,31568,How do you find the inverse of a transformation matrix
+31569,31569,What is the inverse of a transpose matrix
+31570,31570,What is the inverse of a 2x3 matrix
+31571,31571,How do I load iris data from Sklearn
+31572,31572,How do you solve optimization problems
+31573,31573,Which language is used in Matlab
+31574,31574,What are codes and themes in qualitative research
+31575,31575,What are codes in qualitative research
+31576,31576,How do you code data
+31577,31577,What are codes in thematic analysis
+31578,31578,What is NIST security model
+31579,31579,What is the NIST risk assessment procedure
+31580,31580,How do you do linear regression
+31581,31581,What are the methods of doing linear regression
+31582,31582,How do you solve linear equations
+31583,31583,Is linear regression a machine learning technique
+31584,31584,Is linear regression A statistical model
+31585,31585,How do you determine what is a linear equation
+31586,31586,What coding language is used for AI
+31587,31587,Does AI involve coding
+31588,31588,What is artificial intelligence coding
+31589,31589,Can we make artificial intelligence
+31590,31590,Can PhotoMath do logarithms
+31591,31591,What is a real world example of a logarithmic function
+31592,31592,What is meant by actuator
+31593,31593,What is actuator and sensor
+31594,31594,What are sensors in AI
+31595,31595,What is a SVM kernel
+31596,31596,How do I find important variables in Python
+31597,31597,How do you select important variables in the dataset
+31598,31598,What is non linear regression in machine learning
+31599,31599,Is it possible to model a non linear relationship between an IV and a DV in a linear model
+31600,31600,What is non linear relationship
+31601,31601,How do you find the equation for non linear data
+31602,31602,How do you determine linear or nonlinear regression
+31603,31603,How do you determine the regression equation
+31604,31604,What is C in logistic growth
+31605,31605,What is the extrapolation method
+31606,31606,How do you determine interpolation and extrapolation
+31607,31607,Which method interpolation or extrapolation is more accurate and why
+31608,31608,What does interpolate mean
+31609,31609,What are the two types of validity
+31610,31610,Which of following test statics is used in Wilcoxon rank sum test
+31611,31611,How do you find the standard deviation of a normal distribution
+31612,31612,What is the standard deviation of a normal distribution curve
+31613,31613,What are the mean and standard deviation of the standard normal distribution
+31614,31614,How many standard deviations are in a normal distribution
+31615,31615,How do you derive the variance of a uniform distribution
+31616,31616,What's the variance of a uniform distribution defined on 0 6
+31617,31617,What is the variance of a discrete uniform distribution
+31618,31618,How does a uniform distribution differ from a normal distribution
+31619,31619,Which distribution has the larger standard deviation
+31620,31620,Why does larger standard deviation mean greater variation
+31621,31621,Does a uniform distribution have a standard deviation
+31622,31622,Can logistic regression be used for continuous data
+31623,31623,What are marginals in statistics
+31624,31624,What is the meaning marginal
+31625,31625,What is a marginal difference
+31626,31626,How do you find the margin of error on a Ti 84 using confidence intervals
+31627,31627,How does the margin of error change as the confidence interval increases
+31628,31628,Is margin of error the same as confidence level
+31629,31629,How do I get Facebook data sentiment analysis
+31630,31630,How do you do a sentiment analysis
+31631,31631,What is sentiment analysis How is sentiment analysis done
+31632,31632,What is az test
+31633,31633,How do you use a calibration curve
+31634,31634,What does the calibration curve tell us
+31635,31635,What is a calibration curve and what is it used for
+31636,31636,How do you use a calibration curve to determine concentration
+31637,31637,How do you calculate calibration curve
+31638,31638,How do you create a HPLC calibration curve
+31639,31639,What does random forest do
+31640,31640,Is Random Forest supervised or unsupervised
+31641,31641,What comes under unsupervised learning
+31642,31642,Is random forest deep learning
+31643,31643,How do you find the sensitivity and specificity of a confusion matrix
+31644,31644,What is test sensitivity and specificity
+31645,31645,How do machine learning models learn
+31646,31646,How do you calculate deep learning map
+31647,31647,What is MAP metric
+31648,31648,Where can I learn algorithms
+31649,31649,What does cosine actually mean
+31650,31650,What is cos of an angle
+31651,31651,What is a random distribution
+31652,31652,How do you find the distribution function of x
+31653,31653,What is the distribution of X X
+31654,31654,What is X in geometric distribution
+31655,31655,What is X in beta distribution
+31656,31656,What is transactional analysis model
+31657,31657,What is the purpose of transactional analysis
+31658,31658,Which system is a knowledge based information system
+31659,31659,Is the knowledge based system a heuristic system
+31660,31660,What are knowledge based system explain with an example
+31661,31661,What are the components of knowledge based system
+31662,31662,Is exponential distribution independent
+31663,31663,What is the P value method in statistics
+31664,31664,How do you do the Wilcoxon rank sum test
+31665,31665,What happens in Bandish bandits
+31666,31666,Is Avneet Kaur in Bandish bandits
+31667,31667,What is coefficient in multiple regression
+31668,31668,Why do regression coefficients have standard errors associated with them
+31669,31669,Do the signs of the coefficients make sense
+31670,31670,What is the main difference between simple linear regression and multiple linear regression
+31671,31671,Are the variables in your regression model statistically significant to your model
+31672,31672,Why do we use one sample t test
+31673,31673,How many variables do you need to run a one sample chi square analysis
+31674,31674,How does sample size affect chi square
+31675,31675,What does it mean that a neuron has a large receptive field
+31676,31676,How are receptive field size distributed across the retina
+31677,31677,What is a receptive field and what are its characteristics
+31678,31678,What is uncertainty in measurements quizlet
+31679,31679,How does the concept of significant figures relate to uncertainty in measurement quizlet
+31680,31680,What is are the term s that describe s the closeness or reproducibility of a set of measurements taken under the same conditions
+31681,31681,Why is there uncertainty in measurements
+31682,31682,How are accuracy and precision alike
+31683,31683,What does intercept mean in regression
+31684,31684,How do you interpret ay intercept
+31685,31685,What does a significant intercept mean in logistic regression
+31686,31686,What does it mean when the intercept of a model is not significant
+31687,31687,What does the Y intercept tell us
+31688,31688,How do you find the error rate in a classifier
+31689,31689,What are variables in a study
+31690,31690,What is an example of a qualitative study
+31691,31691,What qualifies as qualitative research
+31692,31692,What is parameter estimation in machine learning
+31693,31693,What is data parallel algorithm model
+31694,31694,What is data level parallelism with example
+31695,31695,What is meant by data parallelism
+31696,31696,When regression line passes through the origin then
+31697,31697,Is the least squares regression line resistant
+31698,31698,What is the intercept of the regression line
+31699,31699,Why does the regression line pass through the mean
+31700,31700,What is the difference between Kafka and Kafka streams
+31701,31701,What is Kafka and why it is used
+31702,31702,How is K defined in Knn
+31703,31703,What is transit associated with
+31704,31704,How is a planet's orbital period related to its distance from its star
+31705,31705,What is the relationship between distance and orbital period
+31706,31706,What is the relationship between the distance from the Sun and the orbital period quizlet
+31707,31707,How do you determine transit depth
+31708,31708,What is transit period
+31709,31709,What does transit method measure
+31710,31710,What's considered an outlier
+31711,31711,How do you find the rule for a pattern
+31712,31712,How do you see patterns in everything
+31713,31713,What part of the brain is used for pattern recognition
+31714,31714,Where do you see patterns
+31715,31715,What is intra cluster distance
+31716,31716,What is inter cluster and intra cluster
+31717,31717,What is intra cluster
+31718,31718,What is descriptor in image processing
+31719,31719,How do you organize data for regression analysis
+31720,31720,What two things should be done before one performs a regression analysis
+31721,31721,How do you find eigenvectors of a matrix
+31722,31722,What are the eigenvectors of a matrix
+31723,31723,What is an eigenvector of a matrix
+31724,31724,What is a deviation rate
+31725,31725,How do I find the deviation rate
+31726,31726,How is tolerable deviation rate calculated
+31727,31727,What is the relationship between sample size and standard error
+31728,31728,What is the relationship between sampling error and sample size
+31729,31729,Does sample size determine sampling error
+31730,31730,What is the relationship between margin of error and sample size
+31731,31731,What is the relationship between sample size standard error and confidence intervals
+31732,31732,Does margin of error decrease with sample size
+31733,31733,How do you create a training dataset
+31734,31734,Why do we need sampling distribution
+31735,31735,How do you find the probability of a sample distribution
+31736,31736,What is probability sampling distribution
+31737,31737,How do you do probability sampling
+31738,31738,What are the examples of probability sampling
+31739,31739,How do you train a model using TensorFlow
+31740,31740,Why is a larger sample size better
+31741,31741,What is the disadvantage of using a larger sample size
+31742,31742,Does a larger sample size increase confidence interval
+31743,31743,How does sample size effect results
+31744,31744,How does a small sample size effect a study
+31745,31745,How does small sample size affect validity
+31746,31746,Does sample size affect reliability or validity
+31747,31747,How hard is it to build a neural network
+31748,31748,How do I build CNN in TensorFlow
+31749,31749,How do I create a CNN image classification
+31750,31750,Is TensorFlow a CNN
+31751,31751,What are the three data anomalies
+31752,31752,How do you prevent data anomaly
+31753,31753,What is insert anomaly with example
+31754,31754,What are the three data anomalies that are likely to occur as a result of data redundancy can data redundancy be completely eliminated in database approach Why or why not
+31755,31755,What are the characteristics of a normal distribution in statistics
+31756,31756,How do you do integration
+31757,31757,What makes a sample size large
+31758,31758,How do you determine ideal sample size
+31759,31759,What factors can cause response bias in a sample
+31760,31760,How do you avoid response bias
+31761,31761,How is mean and median different
+31762,31762,Why is the mean better than the median
+31763,31763,Why is the mean and median the same
+31764,31764,What is bias in decision tree
+31765,31765,What is sensitivity in decision tree
+31766,31766,Are decision trees explainable
+31767,31767,Are decision trees linear
+31768,31768,Is decision tree robust to outliers
+31769,31769,Why is stratified sampling better than random
+31770,31770,Why is it good to use stratified sampling
+31771,31771,What is feature scaling and write its uses
+31772,31772,What role does feature normalization play for gradient descent
+31773,31773,What is the definition of normalization
+31774,31774,What are the effects of artificial intelligence
+31775,31775,What problems does artificial intelligence solve
+31776,31776,What is the fear of AI called
+31777,31777,What are the issues of artificial intelligence
+31778,31778,How AI is a threat
+31779,31779,What distribution does the Anova or analysis of variance use
+31780,31780,How do you determine threshold value in logistic regression
+31781,31781,What are the Hyperparameters of logistic regression
+31782,31782,What is the expected value of a discrete probability distribution
+31783,31783,What is the expected value for distribution A
+31784,31784,How do you find the discrete variable
+31785,31785,What is expected value of random variable
+31786,31786,What does a negative expected value mean
+31787,31787,What is self awareness in AI
+31788,31788,What is it called when artificial intelligence becomes self aware
+31789,31789,How can you tell if data is valid
+31790,31790,What makes a valid statistical question
+31791,31791,How do you identify a statistical question
+31792,31792,How do you test validity of a questionnaire
+31793,31793,How can graphs and statistics be misleading
+31794,31794,How can statistics be misleading by Mark Liddell
+31795,31795,Why are measures of central tendency misleading
+31796,31796,What is the range of the logit logarithm of odds ratio function
+31797,31797,What is the range of the probability of the logistic function in logistic regression
+31798,31798,Which among the following options give the range for a logistic function
+31799,31799,What is the loss function used in logistic regression to find the best fit line
+31800,31800,What is sampling distribution in statistics
+31801,31801,What is the purpose of association rule mining
+31802,31802,Is association rule mining supervised or unsupervised
+31803,31803,What is Watson NLU
+31804,31804,What is a difference between the Z distribution and the t distribution
+31805,31805,What is a hashing algorithm and how does it work
+31806,31806,What is meant by hashing algorithm
+31807,31807,What is hashing explain with example
+31808,31808,What are hashing algorithms used for
+31809,31809,How do you find the slope of the regression line
+31810,31810,What are the slope and y intercept of the regression line
+31811,31811,Is the R squared value the slope
+31812,31812,What does R mean in slope
+31813,31813,What is the R value of a line
+31814,31814,How do you find R in a regression equation
+31815,31815,What is R vs R2
+31816,31816,What is the auto correlation for lag 1
+31817,31817,How do you calculate partial autocorrelation
+31818,31818,What is the value of the autocorrelation function of lag order 0
+31819,31819,What is the partial auto correlation for lag 3
+31820,31820,What is CTC loss
+31821,31821,What is qualitative classification
+31822,31822,What can you do with NLTK
+31823,31823,Why do we need hashing in data structure
+31824,31824,How do I filter noisy data
+31825,31825,What causes noise in data
+31826,31826,How would you differentiate outlier and noise in a dataset
+31827,31827,Can noise objects be outliers
+31828,31828,What is a sampling frequency
+31829,31829,What is sampling time in ADC
+31830,31830,How do you determine sampling frequency
+31831,31831,How do you calculate Nyquist sampling frequency
+31832,31832,What is sampling frequency in FFT
+31833,31833,Is Nyquist rate and sampling frequency same
+31834,31834,What is ADC sampling
+31835,31835,What is ADC sampling time
+31836,31836,What is caching and how it works
+31837,31837,What is Cache testing
+31838,31838,What are some of the limitations of regression analysis
+31839,31839,What is the derivative of a logistic function
+31840,31840,How do you write a logistic differential equation
+31841,31841,What factors cause logistic growth
+31842,31842,What factors determine the growth rate of a population
+31843,31843,What is the range of a logistic function
+31844,31844,What is the carrying capacity of a logistic function
+31845,31845,How do you solve logistic growth
+31846,31846,How do you calculate carrying capacity in logistics
+31847,31847,Why use a deep learning framework
+31848,31848,What is framework in deep learning
+31849,31849,What you can do with deep learning
+31850,31850,What is multi SVM
+31851,31851,Can SVM do multi class classification
+31852,31852,What is correlation in signals
+31853,31853,What is difference between convolution and correlation
+31854,31854,What is discriminative correlation filter
+31855,31855,How does Kcf Tracker work
+31856,31856,What is the difference between cross correlation and autocorrelation
+31857,31857,What's a good Altman Z score
+31858,31858,What is a bad Altman Z score
+31859,31859,What is the Altman Z score used for
+31860,31860,What does a negative z score tell you
+31861,31861,How accurate is the Altman Z score
+31862,31862,How do you find the standard normal probability
+31863,31863,What is the normal probability model
+31864,31864,How do you explain a normal probability plot
+31865,31865,What is classification of data mining
+31866,31866,What is the difference between classification and prediction in data mining
+31867,31867,What is prediction data mining
+31868,31868,What is the meaning of standard deviation
+31869,31869,How do you find conditional density
+31870,31870,How do you measure implicit bias
+31871,31871,Is the IAT test reliable
+31872,31872,What does the IAT actually measure
+31873,31873,What does the IAT test measure
+31874,31874,How do you test for unconscious bias
+31875,31875,How are implicit attitudes measured
+31876,31876,How is implicit bias measured
+31877,31877,Is sensitivity more important than specificity
+31878,31878,What makes a good screening test
+31879,31879,What does sensitivity mean
+31880,31880,What is sensitivity vs specificity
+31881,31881,What can we conclude about whether people notice the characteristics of the unattended messages in a selective attention task
+31882,31882,What does the adjusted R2 mean
+31883,31883,What is the difference between R Squared and R
+31884,31884,How do you interpret adjusted R squared value
+31885,31885,What are the activation function used in NN
+31886,31886,What is hypothesis in data science
+31887,31887,Is parameter a variable
+31888,31888,What is the difference between a process parameter and a process variable
+31889,31889,What is a field variable
+31890,31890,What is the relationship between a field and a variable
+31891,31891,What is an example of a local variable
+31892,31892,What does participant bias mean
+31893,31893,What is Undercoverage bias
+31894,31894,What is an example of Undercoverage
+31895,31895,What is Ln log
+31896,31896,Why code optimization is needed
+31897,31897,What does it mean to optimize code
+31898,31898,How do you optimize coding
+31899,31899,What does OLS mean in a text message
+31900,31900,Which learning model is used in feed forward network
+31901,31901,Is it possible to design a linear regression algorithm using a neural network
+31902,31902,Can we use logistic regression for regression
+31903,31903,What is the difference between SRE and DevOps
+31904,31904,What is DevOps SRE
+31905,31905,What is difference between DevOps and SRE
+31906,31906,What is the same thing as the independent variable
+31907,31907,Is sift illumination invariant
+31908,31908,How do you find sample size in stratified sampling
+31909,31909,How many types of stratified sampling are there
+31910,31910,When stratified sampling how many individuals are included
+31911,31911,Is stratified sampling proportional
+31912,31912,Is translation a linear transformation
+31913,31913,What is the difference between Ancova and multiple regression
+31914,31914,What makes Ancova different from Anova
+31915,31915,Does Anova assume linearity
+31916,31916,How does univariate analysis differ from bivariate analysis
+31917,31917,What is univariate model
+31918,31918,What is the class limit in statistics
+31919,31919,What convolution means
+31920,31920,What do you mean by convolution theorem
+31921,31921,What is the purpose of convolution theorem
+31922,31922,Is b0 the intercept
+31923,31923,What does the Y intercept b0 represent in linear regression
+31924,31924,How do you interpret B in linear regression
+31925,31925,What is the stationary distribution of a Markov chain
+31926,31926,Is Markov process a random process
+31927,31927,How do you know if a function is causal
+31928,31928,Which system is non causal system
+31929,31929,Is a step function discrete
+31930,31930,Are step functions linear
+31931,31931,Are step functions discrete
+31932,31932,How do you write a unit step function
+31933,31933,What CNN features
+31934,31934,How do you calculate a two tailed test
+31935,31935,Does Matlab require coding
+31936,31936,What are weights and bias in neural network
+31937,31937,Why do we add bias in neural network
+31938,31938,What is a bias neuron in a neural network
+31939,31939,What is map function in machine learning
+31940,31940,What is maximum posterior hypothesis
+31941,31941,How do you get standard error
+31942,31942,What does standard deviation depend on
+31943,31943,What does standard error in regression mean
+31944,31944,How do you interpret mean and standard deviation
+31945,31945,What is a drawback of exponential smoothing models
+31946,31946,What are the main problems with using adaptive exponential smoothing in forecasting
+31947,31947,When using exponential smoothing a smoothing constant must be used the smoothing constant is a value that
+31948,31948,When using exponential smoothing the smoothing constant *
+31949,31949,What is the characteristics of simple random sampling
+31950,31950,What defining feature of a simple random sample distinguishes it from other probability sampling designs
+31951,31951,What is unique about a simple random sample
+31952,31952,What is the purpose of regression model
+31953,31953,What is the purpose of a multiple regression analysis
+31954,31954,What is a false positive in IT security
+31955,31955,What is the difference between regression line and least squares regression line
+31956,31956,Is the least squares regression line the same as the line of best fit
+31957,31957,What is mean by frequency distribution table
+31958,31958,How do you find the range in a frequency table
+31959,31959,What is the range of class interval
+31960,31960,How do you know if a vector field is conservative
+31961,31961,What does a conservative vector field look like
+31962,31962,Is a constant vector field conservative
+31963,31963,How do you find the gradient of a function
+31964,31964,What is meant by conservative field
+31965,31965,What are conservative forces give two examples
+31966,31966,What are conservative and non conservative forces give one example of each
+31967,31967,What does it mean for a field to be conservative
+31968,31968,What exactly is a conservative force
+31969,31969,How do you calculate greater than cumulative frequency
+31970,31970,How do you find less than and greater than cumulative frequency
+31971,31971,How do you draw a less than a cumulative frequency curve
+31972,31972,How do you find less than and more cumulative frequency
+31973,31973,What is the third quartile Q3 of the standard normal distribution
+31974,31974,How do you find the third quartile of a distribution
+31975,31975,How do you find the z score for a standard normal distribution
+31976,31976,What percentage of data is contained by the interquartile range
+31977,31977,Are algorithms models
+31978,31978,What is algorithm and its example
+31979,31979,What is model mean
+31980,31980,What's the difference between standardized and unstandardized coefficients
+31981,31981,Do you report standardized or unstandardized betas APA
+31982,31982,How do you standardize a variable in regression
+31983,31983,Do robots have artificial intelligence
+31984,31984,How is artificial intelligence used in robotics
+31985,31985,What devices use artificial intelligence
+31986,31986,How is AI used in robotics
+31987,31987,What is a good P value score
+31988,31988,How do you reduce the sum of squared residuals
+31989,31989,Why do we minimize the sum of squared errors in linear regression
+31990,31990,How do you reduce errors in regression analysis
+31991,31991,How divide and conquer strategy is used in binary search
+31992,31992,What type of algorithm is binary search
+31993,31993,What are some examples of divide and conquer algorithms
+31994,31994,How do you know when to use greedy algorithm
+31995,31995,What defines a greedy algorithm
+31996,31996,What is greedy algorithm in DAA
+31997,31997,What is signal detection theory based on
+31998,31998,What is an experimental bias
+31999,31999,What is bias in a study
+32000,32000,What is boosting in decision tree
+32001,32001,How do you know if vectors form a basis
+32002,32002,How do you check if it is a basis
+32003,32003,Can a single vector be linearly independent
+32004,32004,How do you report regression results in a paper
+32005,32005,How do you do regression equations
+32006,32006,What is the relationship between power and Type II error
+32007,32007,What is the relationship between statistical power and sample size
+32008,32008,Is Correlation A coefficient
+32009,32009,When would you use the T distribution
+32010,32010,Why do we normalize deep learning
+32011,32011,Why do we normalize images
+32012,32012,How do you normalize a photo
+32013,32013,Why do we do residual analysis
+32014,32014,What do you mean by residual analysis explain with method of solving
+32015,32015,Why do you examine the residuals of a regression model
+32016,32016,How do you find the normal curve
+32017,32017,What is the standard normal curve in statistics
+32018,32018,What are the main applications of clustering algorithms
+32019,32019,What happens if the neural network does not have any activation function
+32020,32020,Which of the following are the reasons of not using linear activation function
+32021,32021,What is LR in statistics
+32022,32022,What is the geometric distribution used for
+32023,32023,What is the mode of a geometric distribution
+32024,32024,What is statistical heterogeneity
+32025,32025,When would you use an exponential random variable
+32026,32026,What is the class width quizlet
+32027,32027,How do you find the width of a class interval
+32028,32028,What is class width in frequency distribution
+32029,32029,What is the size of class intervals * 1 point
+32030,32030,How does an outlier skew a distribution
+32031,32031,Can outliers affect variance
+32032,32032,What effect does an outlier have on the range
+32033,32033,What is the rule of independent events
+32034,32034,How do you find out if an event is independent or dependent
+32035,32035,What is testing and purpose of testing in probability and statistics
+32036,32036,Is a factor a categorical variable
+32037,32037,What does it mean to scale data
+32038,32038,How do you determine whether the distribution represents a probability distribution
+32039,32039,What is stream in big data
+32040,32040,What is the difference between batch processing real time processing time sharing and distributed processing
+32041,32041,Why does AlphaGo play so well
+32042,32042,What does AlphaGo mean
+32043,32043,How does random assignment minimize confounding variables
+32044,32044,How does matching reduce confounding
+32045,32045,What does random assignment do
+32046,32046,What does random assignment eliminate
+32047,32047,How do you test for confounding variables
+32048,32048,How does random assignment prevent selection effects
+32049,32049,Why is random assignment important statistics
+32050,32050,How do you get the X Bar symbol in Word
+32051,32051,What is the character code for X Bar
+32052,32052,How do you type x squared
+32053,32053,How do you put an X mark in Word
+32054,32054,How do you make the population symbol in Word
+32055,32055,What is interpolation technique
+32056,32056,Is sample standard deviation consistent
+32057,32057,Is sample variance biased
+32058,32058,What is order statistics DAA
+32059,32059,What is meant by ingroup and outgroup
+32060,32060,What is the standard normal cumulative distribution function
+32061,32061,What is a marginal PMF
+32062,32062,What is PMF and PDF
+32063,32063,How do you know if an operator is hermitian
+32064,32064,What are the different greedy criterion
+32065,32065,What the standard error indicates about sampling error
+32066,32066,What are the errors associated with sampling
+32067,32067,How is the standard error related to sample size
+32068,32068,How do you find the standard error of a sample size and proportion
+32069,32069,What is nonlinear activation function
+32070,32070,Why activation function is non linear
+32071,32071,Is ReLU activation function a non linear activation function
+32072,32072,What do we model with logistic regression
+32073,32073,What is logit in logistic regression
+32074,32074,Is logistic regression multivariate
+32075,32075,How can I learn neural network
+32076,32076,Is tensor a vector quantity
+32077,32077,How do you use a binomial table
+32078,32078,How do you work out a binomial distribution
+32079,32079,What is a binomial table
+32080,32080,How do you read a probability distribution table
+32081,32081,How do you write a visual analysis
+32082,32082,What is the purpose of image analysis
+32083,32083,What is a photo analysis
+32084,32084,What is the importance of images
+32085,32085,Why is NLP useful
+32086,32086,What is the distance between two clusters in a complete linkage clustering
+32087,32087,What is a hypothesis and its types
+32088,32088,Is machine learning required for deep learning
+32089,32089,What is the difference between CNN and NN
+32090,32090,What is YUV image
+32091,32091,What does YUV mean
+32092,32092,What is YUV422 format
+32093,32093,What assumption does the cure clustering algorithm make with regards to the shape of the clusters
+32094,32094,How do you find the probability of MGF
+32095,32095,How is the normal distribution derived
+32096,32096,What is ordinal regression in SPSS
+32097,32097,How do I interpret regression analysis in SPSS
+32098,32098,What is the confidence interval for 0.01 significance level
+32099,32099,What is meant by a cluster
+32100,32100,What is the mean by cluster
+32101,32101,What is the sentence of A to Z
+32102,32102,How can I improve my neural network model
+32103,32103,Is OLS biased
+32104,32104,What can cause OLS estimators to be biased
+32105,32105,Is the OLS estimator consistent
+32106,32106,What will be the properties of the OLS estimator in the presence of multicollinearity
+32107,32107,What is the bias in linear regression
+32108,32108,How do you use NLP techniques
+32109,32109,What is NLP mind control
+32110,32110,What is the purpose of models in machine learning and artificial intelligence
+32111,32111,Which of the following evaluation metrics can be used to evaluate a model while modeling a continuous output variable
+32112,32112,What can I use instead of logistic regression
+32113,32113,What is statistics explain its importance and limitations
+32114,32114,What are the importance of studying statistics
+32115,32115,What is the definition of statistic
+32116,32116,What is P A or B
+32117,32117,What is P a B in probability
+32118,32118,What does a correlation coefficient of 0 indicate quizlet
+32119,32119,What is the correct interpretation for the correlation coefficient r 0
+32120,32120,What is continuous learning in machine learning
+32121,32121,What do you mean by random sampling
+32122,32122,What do you mean by random sampling Class 11
+32123,32123,Why is a research question important in multivariate analysis of variance Manova )
+32124,32124,Which of the problem can be solved by backtracking method
+32125,32125,How do you find the cutoff frequency of a high pass filter
+32126,32126,How do you calculate filter cutoff frequency
+32127,32127,What is the formula for cut off frequency
+32128,32128,What is upper cut off frequency
+32129,32129,How do you calculate cutoff frequency for a low pass filter
+32130,32130,How do you calculate lower cutoff frequency
+32131,32131,What determines the cut off frequency of the filter
+32132,32132,What is the cutoff frequency of a first order low pass filter
+32133,32133,How is cut off frequency calculated
+32134,32134,What is normalized cutoff frequency
+32135,32135,How do you calculate Normalised frequency
+32136,32136,What is normalized filter
+32137,32137,How do you calculate entropy and gain
+32138,32138,How is information gain calculated
+32139,32139,What is entropy in information gain
+32140,32140,What is entropy and information gain in decision tree
+32141,32141,What is MGF in probability
+32142,32142,What is a moment probability
+32143,32143,What is PR curve
+32144,32144,What does log do in a regression
+32145,32145,What does it mean to say energy is quantized
+32146,32146,How do we know that energy is quantized
+32147,32147,Does linear regression assume normality
+32148,32148,What are the assumptions for linear regression
+32149,32149,What is linear equation definition and example
+32150,32150,What is a linear equation simple definition
+32151,32151,What it means to be linear
+32152,32152,What is linear Behaviour
+32153,32153,What is the opposite of a linear process
+32154,32154,How do you reduce the dimensionality of data
+32155,32155,Which of the following techniques are used for dimensionality reduction
+32156,32156,Which is not a function of output unit
+32157,32157,What is output unit short answer
+32158,32158,What is meant by input and output unit
+32159,32159,What are the functions of input unit
+32160,32160,What is the function of output unit
+32161,32161,What is input and output of a function
+32162,32162,Why is sentiment analysis used
+32163,32163,What are class marks in statistics
+32164,32164,What is SVM kernel function
+32165,32165,What is moment generating function in probability
+32166,32166,What is model assessment
+32167,32167,What are the general steps of model evaluation
+32168,32168,How do Arima models work
+32169,32169,What is predicted value in linear regression
+32170,32170,How is a simple linear regression model used to predict the response variable
+32171,32171,Which variable would best explain or predict the other variable
+32172,32172,What does an effect size of 0.2 mean
+32173,32173,What is D and Z value
+32174,32174,How do you calculate D in statistics
+32175,32175,How do you interpret an expected value
+32176,32176,What does expected value of a random variable mean
+32177,32177,How do you work out moments
+32178,32178,Which of the following are informed search method in artificial intelligence
+32179,32179,What is informed and uninformed searches also explain its types
+32180,32180,How is sample calculated
+32181,32181,How is sample standard calculated
+32182,32182,What is normal eye convergence
+32183,32183,How is eye convergence treated
+32184,32184,What are the properties of a binomial experiment
+32185,32185,What defines a binomial experiment
+32186,32186,What are the properties of a binomial variable
+32187,32187,What makes the binomial distribution unique
+32188,32188,What are the four characteristics of a binomial experiment
+32189,32189,How do you use dimensional analysis
+32190,32190,What do you mean by dimensional analysis
+32191,32191,What is dimensional analysis
+32192,32192,What is the difference between a control and a variable
+32193,32193,What do you mean by classification of data discuss the method of classification
+32194,32194,Why is it important to use the correct method of classification
+32195,32195,Is AI a recommendation system
+32196,32196,What are recommendation system clearly explain two application of recommendation system
+32197,32197,Is sampling distribution the same as standard deviation
+32198,32198,How do you find the mean and standard deviation of a sampling distribution
+32199,32199,What exactly does standard deviation tell us
+32200,32200,What are the mean and the standard deviation of the sampling distribution of a sample proportion
+32201,32201,In what ways is bias avoided in the design of Randomised control trial
+32202,32202,Does randomization reduce selection bias
+32203,32203,How can you minimize performance bias
+32204,32204,How is sampling bias reduced
+32205,32205,How do clinical trials reduce bias
+32206,32206,How do you reduce bias in RCT
+32207,32207,How do you know if a matrix is defined
+32208,32208,Is matrix multiplication left to right
+32209,32209,How do you determine if a matrix product is defined
+32210,32210,What is the product of a and b
+32211,32211,How do you find AB and BA of a matrix
+32212,32212,What are the operations in matrices
+32213,32213,How do you determine if matrices are defined
+32214,32214,What are matrix row operations
+32215,32215,How can you interpret matrices and operate with matrices
+32216,32216,How do you tell if a matrix is not defined
+32217,32217,What are defined matrices
+32218,32218,What is a T in linear algebra
+32219,32219,What are the statistical techniques used in analyzing data
+32220,32220,What type of statistical techniques are used
+32221,32221,What is Z value in probability
+32222,32222,What are the mean and standard deviation of the sampling distribution of the sample mean
+32223,32223,How do you find the standard deviation from the mean
+32224,32224,What is the standard deviation of the sample means called What is the formula for this standard deviation
+32225,32225,What is the standard deviation of the sampling distribution called
+32226,32226,What provides the standard deviation of the sampling distribution
+32227,32227,What is the standard deviation of the sampling distribution called Choose the correct answer below
+32228,32228,How does effect size affect power
+32229,32229,What happens to effect size as sample size increases
+32230,32230,What happens to the performance of the regression algorithm when you add more useful features
+32231,32231,How do you optimize a linear regression model
+32232,32232,What is the order of binary search
+32233,32233,What is the correct option of binary search algorithm
+32234,32234,Does binary search need to be sorted
+32235,32235,What is binary search and its algorithm
+32236,32236,What is binary search algorithm in C
+32237,32237,Is Z or T critical value
+32238,32238,Why do we use neural networks
+32239,32239,Does the scatter plot show a positive a negative or no association
+32240,32240,What does a positive association look like on a scatter plot
+32241,32241,What does a positive scatter plot mean
+32242,32242,How do you know if a correlation is positive or negative
+32243,32243,How can you tell if a scatter plot is negative or positive
+32244,32244,Which scatterplot shows a positive linear association
+32245,32245,What is a positive association on a scatter plot
+32246,32246,How do you know if a scatter plot shows a linear association
+32247,32247,How do you know that a scatter plot has a positive correlation
+32248,32248,What is the output of a Lstm
+32249,32249,How do you construct a decision tree
+32250,32250,Why standard deviation is used instead of variance
+32251,32251,Why is the standard deviation used more frequently than the variance
+32252,32252,Why standard deviation is most widely used as a measure of variation
+32253,32253,Can the standard deviation be greater than the variance
+32254,32254,Why is standard deviation preferred over range
+32255,32255,What are the advantages of using the standard deviation over range and interquartile range
+32256,32256,Why is standard deviation better than interquartile range
+32257,32257,When the sample size increases what happens
+32258,32258,What happens to the standard deviation as the sample size increases
+32259,32259,What does a large sample size do
+32260,32260,What happens to mean when sample size increases
+32261,32261,Does a larger sample size increase effect size
+32262,32262,What is chunking NLP
+32263,32263,What are the limitations of Apriori algorithm
+32264,32264,What shortcomings of the Apriori algorithm are overcome by the FP growth algorithm
+32265,32265,What does higher sensitivity mean
+32266,32266,What's the difference between SLO vs SLA
+32267,32267,What is a reasonable degree of target reliability for an SLO
+32268,32268,What SLO means
+32269,32269,What is an SLO in teaching
+32270,32270,What is a slo essay
+32271,32271,What is the opposite of latent
+32272,32272,What is the synonym of latent
+32273,32273,What are ensemble classifiers
+32274,32274,How do you do proportional stratified sampling
+32275,32275,Under what circumstances is a proportionate stratified random sample the most appropriate sampling method
+32276,32276,How do you identify and interpret the slope
+32277,32277,Is the regression line the slope
+32278,32278,What is the point estimate of the standard deviation
+32279,32279,How do you find the point estimate of the population mean
+32280,32280,Which is used for image classification
+32281,32281,What are the different type of classification
+32282,32282,What does multidimensional mean
+32283,32283,What is multidimensional modeling
+32284,32284,Which of the system uses multidimensional data analysis
+32285,32285,Is a method of Analysing data in a multidimensional format
+32286,32286,What is multidimensional data model give example
+32287,32287,What are the different types of multidimensional data models
+32288,32288,What is multidimensional data model
+32289,32289,Do you understand cross correlations with time lags
+32290,32290,How do you find the correlation coefficient between two variables
+32291,32291,What causes margin of error to increase
+32292,32292,How do you decrease margin of error
+32293,32293,How do you interpret the margin of error
+32294,32294,How does the confidence level affect the margin of error
+32295,32295,Why does the margin of error increase as confidence increases
+32296,32296,What happens when you increase the confidence level
+32297,32297,What would increase the margin of error
+32298,32298,Are margin of error and standard error the same
+32299,32299,What would happen to the margin of error of a confidence interval if the standard deviation increased
+32300,32300,What is covariance stationary
+32301,32301,What is covariance stationary time series
+32302,32302,What is Big Data example
+32303,32303,How is big data different from regular data
+32304,32304,Why is Big Data bad
+32305,32305,What is the meaning of big data
+32306,32306,What is data and information with example
+32307,32307,What do you mean by data
+32308,32308,What is difference data
+32309,32309,What is discrete series and continuous series
+32310,32310,What is the difference between individual series and discrete series
+32311,32311,Is quantitative discrete or continuous
+32312,32312,Can quantitative data be discrete and continuous
+32313,32313,What is the central tendency of a data set
+32314,32314,How do you determine the measure of central tendency
+32315,32315,Why do we calculate measures of central tendency
+32316,32316,Which of the following is not a machine learning algorithm *
+32317,32317,What is not machine learning
+32318,32318,Is Panel data a time series
+32319,32319,What is Panel Data example
+32320,32320,What does 11 plus mean
+32321,32321,How many questions are there in the 11+
+32322,32322,How is estimation done in agile
+32323,32323,What are estimation techniques
+32324,32324,What is convolution theorem in Laplace transform
+32325,32325,What is the shifting property of convolution
+32326,32326,What is the commutative property of convolution sum
+32327,32327,How do you draw a survival curve
+32328,32328,How do you calculate the survival curve
+32329,32329,What are ICC values
+32330,32330,How is ICC calculated
+32331,32331,What is the variance of a standard normal distribution
+32332,32332,What does it mean when a system of linear equations has infinitely many solutions
+32333,32333,What are selectors explain different types of selectors
+32334,32334,Why are type selectors used
+32335,32335,What is the purpose of selector
+32336,32336,Can partitioning improve performance
+32337,32337,What is the difference between neural network and deep learning
+32338,32338,How do you calculate variance step by step
+32339,32339,How do you find the variance of the distribution of the mean
+32340,32340,What is the difference between standard deviation and variance
+32341,32341,How do you find variance and standard deviation
+32342,32342,What is the formula of linear regression
+32343,32343,Do you need to scale for linear regression
+32344,32344,What are weights in logistic regression
+32345,32345,When would you not use systematic sampling
+32346,32346,What are the limitations of sampling
+32347,32347,What makes a sample not random
+32348,32348,Is simple random sampling
+32349,32349,Why is random sampling unbiased
+32350,32350,What is at distribution used for
+32351,32351,What is machine learning algorithm in prediction
+32352,32352,What type of machine learning algorithm is typically used for image recognition and why
+32353,32353,What is predictive modeling machine learning
+32354,32354,What is random forest and how it works
+32355,32355,Is intelligence an algorithm
+32356,32356,Which is intelligent search algorithm
+32357,32357,WHAT IS A * algorithm in AI
+32358,32358,WHAT IS A * algorithm used for
+32359,32359,HOW DOES A * algorithm work
+32360,32360,What is cut off value
+32361,32361,What is a cut off score in statistics
+32362,32362,What is cut off value in logistic regression
+32363,32363,How do you find the critical value of Ta 2 on a TI 84
+32364,32364,How do you find degrees of freedom on a TI 84
+32365,32365,Is Poisson process independent
+32366,32366,Is a Poisson random variable discrete
+32367,32367,What are the four properties of Poisson distribution
+32368,32368,How do we add or subtract random variables
+32369,32369,What is the sum of expected values
+32370,32370,Is RL unsupervised learning
+32371,32371,What is machine learning state
+32372,32372,How do you find the covariance of a joint distribution
+32373,32373,What is the interpretation of the slope and intercept of a regression
+32374,32374,What does the intercept of a regression line tell us
+32375,32375,Is it meaningful to interpret the Y intercept
+32376,32376,What does the Y intercept mean in statistics
+32377,32377,Is the Y intercept the average
+32378,32378,How do we denote null hypothesis
+32379,32379,How do you answer the null hypothesis
+32380,32380,What is the probability of rolling two six sided dice and obtaining at least one 6
+32381,32381,What are the odds of rolling a straight with 6 dice
+32382,32382,How many possibilities are there with 6 dice
+32383,32383,Why do we develop AI
+32384,32384,What are eigenvalues and eigenvectors a must know concept for machine learning
+32385,32385,What is a out group definition
+32386,32386,What is meant by in group preferences
+32387,32387,What is group and out group
+32388,32388,How is open coding used in qualitative research
+32389,32389,What is the range for learning rate
+32390,32390,How do you do association rule mining
+32391,32391,How is data mining related to artificial intelligence
+32392,32392,How does gradient descent method work
+32393,32393,What do outliers do to data
+32394,32394,How do outliers affect distribution
+32395,32395,What is a string hash
+32396,32396,How do you find the hash function
+32397,32397,What do you mean by hashing explain any five popular hash functions
+32398,32398,What is being attracted to intelligence
+32399,32399,Why does intelligence turn me on
+32400,32400,How do we determine attractiveness
+32401,32401,What are the most attractive facial features
+32402,32402,What traits are considered attractive
+32403,32403,What is perceived intelligence
+32404,32404,Is it possible to become more intelligent
+32405,32405,What are the two requirements for a random sample
+32406,32406,Why is simple random sampling
+32407,32407,What is sigmoid cross entropy loss
+32408,32408,What measures cross entropy
+32409,32409,What is K in K means clustering algorithm
+32410,32410,How do you interpret eigenvalues
+32411,32411,What is criterion and predictor variables
+32412,32412,Which is are the predictor variable s in this example
+32413,32413,What is a predictor variable in a linear regression
+32414,32414,What is a parameter estimate
+32415,32415,What are the two types of estimates of a parameter
+32416,32416,Why is parameter estimation important
+32417,32417,What is the easiest way to calculate variance
+32418,32418,How do you calculate variance deviation
+32419,32419,How do you find the prediction interval in R
+32420,32420,How do you calculate a prediction interval
+32421,32421,What is confidence interval in R
+32422,32422,What is the formula for confidence interval
+32423,32423,Why do we need transfer learning
+32424,32424,Does transfer learning work
+32425,32425,How do you find the marginal pdf of X
+32426,32426,What is distributive function
+32427,32427,What is the probability function of x
+32428,32428,What factors affect entropy
+32429,32429,Does entropy increase with energy
+32430,32430,What makes entropy increase
+32431,32431,How do you know when entropy increases or decreases
+32432,32432,Which of the following processes decreases entropy
+32433,32433,What affects entropy
+32434,32434,What is non recursive system
+32435,32435,What are the different types of filters based on impulse response
+32436,32436,What do you do if homogeneity of variance is violated
+32437,32437,What do you do when data fails test for homogeneity of variance
+32438,32438,What if homogeneity of variance is not met
+32439,32439,What happens if homogeneity of variance is violated
+32440,32440,What does homogeneous variances mean
+32441,32441,How do you interpret a homogeneity of variance
+32442,32442,What is the purpose of homogeneity of variance test
+32443,32443,What do tests of homogeneity of variance do
+32444,32444,Is a rectifier linear
+32445,32445,What is logit in deep learning
+32446,32446,How is blocking different from stratified sampling
+32447,32447,What is the difference between block design and stratified random sample
+32448,32448,How is a stratified sample similar to a random sample
+32449,32449,What is similar to stratified sampling
+32450,32450,What are the different kinds of sampling
+32451,32451,What do you mean by complexity of algorithm
+32452,32452,What do you mean by complexity of an algorithm explain with an example how time complexity of an algorithm is calculated
+32453,32453,What is an algorithm explain with the help of example
+32454,32454,When did AI become popular
+32455,32455,When was AI first used
+32456,32456,Why has artificial intelligence become so popular
+32457,32457,Who is the founder of artificial intelligence
+32458,32458,What is the origin of artificial intelligence
+32459,32459,How do we find standard deviation
+32460,32460,What is mean by standard deviation with example
+32461,32461,How do you find the standard deviation of a sample
+32462,32462,What is the purpose of multiple regression
+32463,32463,What is the mean of the given probability distribution
+32464,32464,Is a neural network an algorithm
+32465,32465,What type of data does facial recognition use
+32466,32466,What's the difference between regression and classification
+32467,32467,What makes an experiment randomized
+32468,32468,Can observational studies be randomized
+32469,32469,What is a non randomized study
+32470,32470,Is a randomized controlled trial qualitative or quantitative
+32471,32471,What is randomization in quantitative research
+32472,32472,Can static variable value be changed
+32473,32473,Can a variable change its value
+32474,32474,What is time series evaluation
+32475,32475,How do you choose a time series model
+32476,32476,How do you use Arima model
+32477,32477,How do you interpret covariance analysis
+32478,32478,What does PPV and NPV mean
+32479,32479,How do you calculate sample size from sensitivity and specificity
+32480,32480,What does passive learning mean
+32481,32481,What is active and passive reinforcement learning
+32482,32482,How do you do Markov analysis
+32483,32483,Is significance level the same as Alpha
+32484,32484,What does an alpha of 0.01 mean
+32485,32485,What is the relationship between alpha and type 1 error
+32486,32486,What is the value of parameter
+32487,32487,Does the confidence interval contain the true value of the parameter
+32488,32488,Is the value a parameter or a statistic
+32489,32489,How do you define a parameter
+32490,32490,How do you find parameters in statistics
+32491,32491,How do you calculate parameters
+32492,32492,What is parameter formula
+32493,32493,How do you find the parameters of a function
+32494,32494,How do you find parameters and statistics
+32495,32495,Is neural networks supervised or unsupervised
+32496,32496,What is the formula for the mean of a discrete random variable
+32497,32497,How do you find the mean of a random variable
+32498,32498,How do you interpret the mean of a discrete random variable
+32499,32499,What do you mean by continuous variable
+32500,32500,What is the meaning of discrete
+32501,32501,Why is chi square right tailed
+32502,32502,Why chi square distributions are positively skewed
+32503,32503,What is a word embedding model
+32504,32504,In what way are a scatter plot and a correlation coefficient similar
+32505,32505,What does R represent in a scatter plot
+32506,32506,What does a correlation coefficient of r indicate
+32507,32507,What does it mean when the correlation coefficient is zero
+32508,32508,What does it mean if a scatter plot has no correlation
+32509,32509,What is the correlation coefficient in a scatter plot
+32510,32510,For which data set is the correlation coefficient r closest to 0
+32511,32511,What is the formula for frequency density
+32512,32512,How do you calculate a histogram
+32513,32513,What is the width of a histogram
+32514,32514,What is null and alternative hypothesis in statistics
+32515,32515,Why is deep learning robust to noise
+32516,32516,How is downside deviation calculated
+32517,32517,What does downside risk mean
+32518,32518,What is semi deviation
+32519,32519,How is downside risk measured
+32520,32520,What is a positive skew
+32521,32521,What leads to a positive skew
+32522,32522,Is data analytics and machine learning same
+32523,32523,Is Data Analytics part of artificial intelligence
+32524,32524,What does bins mean in histogram
+32525,32525,What is bin and frequency
+32526,32526,What does frequency mean in a histogram
+32527,32527,What is bin in frequency distribution
+32528,32528,Is 0.3 A weak correlation
+32529,32529,Is 0.07 A strong correlation
+32530,32530,How do I use image processing
+32531,32531,How do I start image processing
+32532,32532,What is meant by image processing
+32533,32533,What enables image processing in AI
+32534,32534,Is the least squares regression line the line of best fit
+32535,32535,What is the least squares line of best fit
+32536,32536,What is the formula for least square method
+32537,32537,Why is the method of least squares used on time series data
+32538,32538,What is the z score at the mean of a normal distribution
+32539,32539,How do you compare z scores
+32540,32540,What does Z * mean in statistics
+32541,32541,What is Z score represent
+32542,32542,What does the U mean in probability
+32543,32543,What is the difference between Z * and Z score
+32544,32544,What is clustering in computing
+32545,32545,What does the Z score represent in statistics
+32546,32546,What is Z score mean
+32547,32547,What is a good Z score in statistics
+32548,32548,What is the z score of 2
+32549,32549,How do you find the probability that Z lies between two numbers
+32550,32550,How do you solve a chain rule question
+32551,32551,How do you read the chain rule
+32552,32552,What does it mean if two random variables are independent
+32553,32553,How do you know if something is an independent variable
+32554,32554,Where is Gaussian distribution used
+32555,32555,What is TensorFlow saved model
+32556,32556,How do you make a TensorFlow model
+32557,32557,What are receptive fields in the visual system
+32558,32558,What does uncertainty mean
+32559,32559,What is uncertainty data
+32560,32560,What do you mean by uncertainty
+32561,32561,What are the consequences of multicollinearity in regression
+32562,32562,What is the meaning of OLS
+32563,32563,What is information Shannon
+32564,32564,Can machine learning predict the stock market
+32565,32565,What is Knn in data science
+32566,32566,How does Weka deal with noisy data
+32567,32567,Is Anova analysis of variance
+32568,32568,Why does Anova assume equal variance
+32569,32569,What is the purpose of Anova analysis
+32570,32570,What does variance represent in Anova
+32571,32571,Why is analysis of variance needed
+32572,32572,How do you optimize precision and recall
+32573,32573,What is F1 precision recall
+32574,32574,How is inductive reasoning used in real life
+32575,32575,What are the disadvantages of deductive method
+32576,32576,What is the problem with inductive reasoning
+32577,32577,What is the weakness of inductive reasoning
+32578,32578,How do you determine if a function is convergent or divergent
+32579,32579,How do you prove a function is divergent
+32580,32580,How do you detect divergence
+32581,32581,How do you know if a function diverges
+32582,32582,What does it mean to diverge
+32583,32583,How do you evaluate information retrieval system
+32584,32584,How do you calculate noise in data
+32585,32585,How is noise measured
+32586,32586,Can we apply the kernel trick to logistic regression
+32587,32587,What is the difference between logistic regression and SVM without a kernel
+32588,32588,Why is kernel trick used
+32589,32589,What is kernel logistic regression
+32590,32590,How do you find the independent variable
+32591,32591,Where is the independent variable in an equation
+32592,32592,What equation is used to find the independent variable
+32593,32593,How do you find the independent variable of a function
+32594,32594,How do you identify variables in an experiment
+32595,32595,How do you distinguish variables
+32596,32596,How do you identify a variable in statistics
+32597,32597,What is the advantages of social networking
+32598,32598,What is social media and its uses
+32599,32599,Can RBF be used for solving nonlinear partial differential equations
+32600,32600,What are the different change detection strategies
+32601,32601,What is the standard deviation of z scores
+32602,32602,What is the z score of a value that is 3 standard deviations below the mean
+32603,32603,What is the standard deviation of AZ distribution
+32604,32604,What are the mean and standard deviation of Az standard normal distribution
+32605,32605,What is the mean and SD for a given set of z scores
+32606,32606,What is the mean and standard deviation of the Z distribution
+32607,32607,What is the standard deviation of Z
+32608,32608,How do you find the standard deviation of a distribution
+32609,32609,What is standard deviation in normal distribution
+32610,32610,How do you calculate sample size based on power
+32611,32611,What factors affect sample size
+32612,32612,Why does increasing sample size increase power
+32613,32613,How does power relate to effect size
+32614,32614,Why does power depend on sample size
+32615,32615,How do you conduct a power analysis for a sample size
+32616,32616,How do you do a power analysis for sample size in SPSS
+32617,32617,What factors affect statistical power
+32618,32618,What is the Vif function in R
+32619,32619,What is PDF value
+32620,32620,What is a global minimum of a function
+32621,32621,Can a global max be a local Max
+32622,32622,How do you find local and global max and min
+32623,32623,Which of the following are examples of discrete random variables
+32624,32624,Which of the following is a discrete
+32625,32625,Which of the following is not a test type *
+32626,32626,Which indicator is used in Volhard method
+32627,32627,What happens if the mean and median are the same
+32628,32628,What does mean and median have in common
+32629,32629,What makes Mean and median alike
+32630,32630,What does it mean when the mean and median are the same
+32631,32631,What does it mean if the mean and median are close together
+32632,32632,What does it mean if the mean is less than the median
+32633,32633,Is there a chance of a false negative pregnancy test
+32634,32634,What is bias weight
+32635,32635,What is the weight in neural network
+32636,32636,What is linear distribution
+32637,32637,What does the chi square test for independence evaluate quizlet
+32638,32638,What are the requirements for the chi square test for independence quizlet
+32639,32639,What are the limitations of the chi square test
+32640,32640,How do you determine the strength of a scatter plot
+32641,32641,What is the difference between a strong and weak association on a scatter plot
+32642,32642,How do you describe the strength and direction of a linear correlation
+32643,32643,How do you determine the strongest correlation
+32644,32644,How do you interpret a linear relationship
+32645,32645,What is a weak positive linear correlation
+32646,32646,Is 0.2 a weak positive correlation
+32647,32647,How do you find the median of a probability distribution
+32648,32648,What is the beta distribution used to represent
+32649,32649,What are the parameters of beta distribution
+32650,32650,Can a data set have the same median and mode
+32651,32651,How do you find the mode of a data set if there are two
+32652,32652,What is the formula for mean median and mode
+32653,32653,What is an example of an interval variable
+32654,32654,How do you calculate covariance in CAPM
+32655,32655,How do you find the sample covariance matrix
+32656,32656,How do Boxplots identify outliers
+32657,32657,What do Boxplots show that histograms do not
+32658,32658,Are outliers included in box plots
+32659,32659,Why is a box plot a good method to compare the data
+32660,32660,What are some advantages to using a Boxplot
+32661,32661,How does removing the outlier affect the box and whisker plot
+32662,32662,What do outliers in a box plot mean
+32663,32663,What do the outliers indicate
+32664,32664,How do you read box plot outliers
+32665,32665,What does it mean to have an outlier in a distribution
+32666,32666,What do you learn from big data
+32667,32667,What is the purpose of using big data
+32668,32668,What is included in big data
+32669,32669,Is a scalable algorithm for decision tree induction
+32670,32670,How do you calculate finite population correction factor
+32671,32671,What is the finite population correction
+32672,32672,How do you find the correction factor in statistics
+32673,32673,Does confidence change your appearance
+32674,32674,What makes a man seductive
+32675,32675,Why is confidence attractive in a man
+32676,32676,Can test accuracy be higher than training
+32677,32677,Can validation accuracy be more than training accuracy
+32678,32678,What does KTH mean
+32679,32679,What does KTH mean in statistics
+32680,32680,What is kth smallest element
+32681,32681,Is Data Analytics part of data science
+32682,32682,What field is data analytics
+32683,32683,What is data analytics major
+32684,32684,What is the study of data analytics
+32685,32685,Is data analysis a major
+32686,32686,What is the simple definition of probability
+32687,32687,What do you understand by probability
+32688,32688,Whats does random mean
+32689,32689,What is the role of NLP in AI
+32690,32690,What is local connectivity in CNN
+32691,32691,Which issue is faced while working with ReLU activation function
+32692,32692,What does a sigmoid activation function do to the output value of a neuron or not in our network
+32693,32693,What sigmoid function does in a neural network
+32694,32694,What is the difference between correlation and partial correlation
+32695,32695,What is the difference between bivariate and partial correlation
+32696,32696,What are the similarities between correlation and regression
+32697,32697,What is Semipartial correlation
+32698,32698,What is partial correlation coefficient in statistics
+32699,32699,When the population standard deviation is unknown
+32700,32700,Which distribution do you use when you are testing a population mean and the population standard deviation is known
+32701,32701,What is the distribution of test statistic
+32702,32702,When performing a test about the population proportion What distribution would you need to use
+32703,32703,When testing a claim about a mean with known population standard deviation σ we use
+32704,32704,How do you find standard error when standard deviation is unknown
+32705,32705,When both the population mean and population standard deviation are unknown you use the
+32706,32706,Can you compare standard deviations
+32707,32707,What if population standard deviation is not known
+32708,32708,When the population standard deviation is unknown the test statistic is the Student's t distribution
+32709,32709,What type of statistical test is used if you don't know the population standard deviation but you know the sample SD n is less than 30 the sample mean and the population mean
+32710,32710,Is population standard deviation a statistic
+32711,32711,Does linear regression require feature scaling
+32712,32712,What are the two measures used for Rule interestingness
+32713,32713,Where is Apriori algorithm used
+32714,32714,What does convolution layer do in CNN
+32715,32715,What is deconvolution image processing
+32716,32716,Is LTI A deconvolution
+32717,32717,How do you do collaborative filtering
+32718,32718,What is the use of input and output device
+32719,32719,What is the use of input unit
+32720,32720,What is the purpose of output unit
+32721,32721,What are input output units
+32722,32722,What is input and output device with example
+32723,32723,Which statistical measure is robust against outliers
+32724,32724,Which statistics are robust
+32725,32725,What statistics are sensitive to outliers
+32726,32726,What does it mean for a statistical test to be robust
+32727,32727,What is pooling in a convolutional neural network
+32728,32728,What does a hazard ratio of 0.8 mean
+32729,32729,Is Dijkstra algorithm greedy
+32730,32730,Is Prim's algorithm greedy
+32731,32731,What is global local and dynamic or adaptive threshold
+32732,32732,What is discrete probability density function
+32733,32733,What is the probability density function of the random variable whose CDF is
+32734,32734,How do you find the least squares estimator
+32735,32735,How do you calculate least square estimates
+32736,32736,What are the least squares point estimates
+32737,32737,What is the disadvantage of K means algorithm
+32738,32738,Why is area under the curve based dosing used
+32739,32739,What is the ROC curve used for
+32740,32740,What is non homogeneous Poisson process
+32741,32741,What is homogeneous Poisson process
+32742,32742,How do you simulate a Poisson process
+32743,32743,What is the difference between absolute and local maximum
+32744,32744,What is the difference between absolute and relative extrema
+32745,32745,What is the difference between a relative extremum and an absolute extremum
+32746,32746,What is local maxima and local minima
+32747,32747,How do you calculate OLS regression by hand
+32748,32748,Which is not the strength of SVM model
+32749,32749,Which features are most suitable for object boundaries and occlusion detection in image sequences
+32750,32750,What is boundary detection in image processing
+32751,32751,What is occlusion detection
+32752,32752,What are the abuses of statistics in the real world
+32753,32753,What is the main use of statistics
+32754,32754,How can statistics be abused
+32755,32755,What is the effect of batch size
+32756,32756,What is TNF alpha test
+32757,32757,Is it hand in hand or hand in glove
+32758,32758,What does it mean when something goes hand in hand
+32759,32759,What does glove stand for
+32760,32760,What does glove mean slang
+32761,32761,What does the glove mean
+32762,32762,How do you do a stratified random sample
+32763,32763,What is the difference between a strata and a cluster
+32764,32764,Under what circumstances would you recommend a A stratified sample B A cluster sample describe in detail
+32765,32765,How do you stratify data
+32766,32766,Why is the normal distribution so common
+32767,32767,What are the two branches in statistics
+32768,32768,What are the two main branches of statistics give examples
+32769,32769,What is the role of sample size in central limit theorem what happens to the shape of distribution of sample mean or proportion when sample size increases with the same sample means what happens to the standard error if sample size increases explain
+32770,32770,What is a relative frequency bar graph
+32771,32771,What is relative frequency in a histogram
+32772,32772,How can you create a relative frequency histogram
+32773,32773,What is frequency distribution and histogram
+32774,32774,Can you use a frequency distribution to make a histogram
+32775,32775,Who Discovered F distribution
+32776,32776,Who developed F test
+32777,32777,What does PID mean
+32778,32778,What does PID stand for in controls
+32779,32779,Does stochastic gradient descent converge
+32780,32780,Why is gradient descent considered an iterative approach
+32781,32781,How are artificial neural networks different from normal networks
+32782,32782,What do standard scores mean
+32783,32783,What role do standard scores play in assessment
+32784,32784,What is unlabelled data
+32785,32785,What is artificial intelligence and its application
+32786,32786,Why do we use analysis of variance
+32787,32787,What is between treatment variance
+32788,32788,Why should you use an analysis of variance rather than a series of t tests
+32789,32789,Why do we use variance in an Anova instead of mean difference
+32790,32790,What statistical test is used to compare means
+32791,32791,Does Anova assume equal variance
+32792,32792,What is a good AUC number
+32793,32793,How do you stop high frequency noise
+32794,32794,Does data augmentation improve accuracy
+32795,32795,What is translation in data augmentation
+32796,32796,What is naive in a naive Bayes
+32797,32797,Does PyTorch use TensorFlow
+32798,32798,Which of the conditions must be met to perform the two sample t test
+32799,32799,What are the conditions for t test
+32800,32800,What conditions are necessary in order to use at test to test the differences between two population means
+32801,32801,What is an example of a remarketing exclusion along with remarketing targeting
+32802,32802,What are the exclusions in advertising
+32803,32803,What is narrow marketing
+32804,32804,What are the 4 methods of targeting
+32805,32805,How do you know when to use the chain rule
+32806,32806,What is the difference between reliability and validity quizlet
+32807,32807,How do you find positive predictive value
+32808,32808,What is Heteroskedasticity in regression
+32809,32809,How can we use Random Forest algorithm for regression problem
+32810,32810,How do you know if a time series is random
+32811,32811,What is a random time series
+32812,32812,Is time series data independent
+32813,32813,What causes increase in entropy
+32814,32814,Is an increase in entropy favorable
+32815,32815,Is higher or lower entropy favored
+32816,32816,How does prevalence affect PPV
+32817,32817,Does prevalence affect specificity
+32818,32818,What is PPV epidemiology
+32819,32819,What does positive predictive value mean
+32820,32820,How do you calculate positive predictive value from sensitivity
+32821,32821,What is sensitivity value
+32822,32822,What's the difference between sensitivity and specificity
+32823,32823,Is PCA linear regression
+32824,32824,How do I calculate density
+32825,32825,How do you explain a density plot
+32826,32826,What is KDE in statistics
+32827,32827,What does frequency density tell you
+32828,32828,What does M mean in linear algebra
+32829,32829,What is linear algebraic equation
+32830,32830,What is an expert system explain with a diagram
+32831,32831,Where is expert system used
+32832,32832,What is expert system
+32833,32833,What is a real life example of something that follows a uniform distribution
+32834,32834,What is an example of a uniform probability model
+32835,32835,What is the difference between independent and mutually exclusive
+32836,32836,How do you determine the uncertainty of an instrument
+32837,32837,What does it mean for two variables to be uncorrelated
+32838,32838,How do you prove two random variables are not independent
+32839,32839,Can independent variables be correlated
+32840,32840,What is meant by decision tree analysis
+32841,32841,What are the advantages of non probability sampling
+32842,32842,What is the major difference between probability and non probability sampling
+32843,32843,What is the difference between probability and non probability
+32844,32844,What is probability and non probability in research
+32845,32845,How do you decide between probability and Nonprobability sampling
+32846,32846,What are the important factors to be considered in choosing sampling techniques
+32847,32847,What is meant by fitting of distribution
+32848,32848,How do you fit a normal distribution
+32849,32849,What is hot encoding in deep learning
+32850,32850,What is coefficient in linear regression
+32851,32851,How do you calculate R Squared in linear regression
+32852,32852,What is R2 in linear regression
+32853,32853,What is r squared value in regression
+32854,32854,How does Decision Tree help in data classification
+32855,32855,Under what condition does binomial distribution tends to Poisson distribution
+32856,32856,What is Return_sequences
+32857,32857,What is another word for learning new things
+32858,32858,What is another word for learning experience
+32859,32859,How would you describe learning
+32860,32860,What's another word for learning
+32861,32861,What's a word for always learning
+32862,32862,When did machine learning take off
+32863,32863,Are SAT scores interval or ratio
+32864,32864,Are test scores interval
+32865,32865,Are grades ordinal or interval data
+32866,32866,Are grades a continuous variable
+32867,32867,Is average rating a continuous variable
+32868,32868,What is a normal probability plot and how is it used
+32869,32869,What are QQ plots used for
+32870,32870,What does a normal QQ plot look like
+32871,32871,How do you scale a variable
+32872,32872,Are machines AI
+32873,32873,What does robust command do in Stata
+32874,32874,What does clustering standard errors mean
+32875,32875,Why are clustered standard errors larger
+32876,32876,At what level should I cluster my standard errors
+32877,32877,When should I use robust standard errors
+32878,32878,Why would you use robust standard errors
+32879,32879,How do you find the convolution of two signals
+32880,32880,What is the order of operation for convolution
+32881,32881,How do you write a function in origin
+32882,32882,Who discovered backpropagation
+32883,32883,Why is it called backpropagation
+32884,32884,Who invented backpropagation
+32885,32885,What is backwards propagation
+32886,32886,What is the reason for back propagation
+32887,32887,What are types of filter realization
+32888,32888,What are the attributes used in decision tree
+32889,32889,How do you choose the best attribute in the decision tree
+32890,32890,What is main goal of decision tree learning
+32891,32891,How do you calculate variable importance in decision tree
+32892,32892,How Variable importance is calculated
+32893,32893,What is variable importance in random forest
+32894,32894,Are decision tree always binary
+32895,32895,Is decision tree a binary classifier
+32896,32896,Is this statement correct decision trees can be used only to predict a binary or categorical variable
+32897,32897,How do you know if its mutually exclusive or independent
+32898,32898,How do you choose between t test and Z test
+32899,32899,What is a method of moments estimator
+32900,32900,How do you calculate moment method
+32901,32901,What is the method of estimation
+32902,32902,Is Method of Moments unbiased
+32903,32903,How do you interpret Cox regression
+32904,32904,What is difference between keras and TensorFlow
+32905,32905,Is keras used for machine learning
+32906,32906,How do you find the P value and null hypothesis
+32907,32907,What is precision recall and F score
+32908,32908,How do you calculate accuracy score
+32909,32909,Is all AI machine learning
+32910,32910,How do you write an objective function
+32911,32911,Why is it important to control all other variables
+32912,32912,What part of the brain is for intelligence
+32913,32913,What in the brain determines intelligence
+32914,32914,What lobe of the brain controls intelligence
+32915,32915,What defines human intelligence
+32916,32916,How can I make my brain more intelligent
+32917,32917,What part of the brain makes you intelligent
+32918,32918,How does your brain develop and become smarter
+32919,32919,Are there differences in receptive fields on the body
+32920,32920,What is a good Ks value
+32921,32921,Which MBTI is hardest to read
+32922,32922,How do you determine the goodness of fit in a regression line
+32923,32923,When we want to determine the goodness of fit in a linear regression model do we need to review which two items
+32924,32924,How do you find the linear model
+32925,32925,How do linear models work
+32926,32926,What is a cluster in a data set
+32927,32927,How artificial intelligence is impacting our everyday lives
+32928,32928,How artificial intelligence is impacting the future
+32929,32929,What are the benefits of AI technology
+32930,32930,What are the benefits of artificial intelligence in technology
+32931,32931,What are the benefits of using artificial intelligence
+32932,32932,What are the positive effects of artificial intelligence
+32933,32933,What is data manipulation in statistics
+32934,32934,What is the meaning of statistical techniques
+32935,32935,How do you know if statistics are accurate
+32936,32936,How easy is it to lie with statistics
+32937,32937,What does lying with statistics mean
+32938,32938,Can statistics be wrong
+32939,32939,What is data mining and its components
+32940,32940,What are data mining methods
+32941,32941,How are data structures used
+32942,32942,What is data structure and why it is used
+32943,32943,Where can I learn TensorFlow
+32944,32944,Is Chi square a non parametric test
+32945,32945,What is the appropriate test for parametric data
+32946,32946,How do you find the mean of a binomial random variable
+32947,32947,What is the mean in binomial distribution
+32948,32948,What is the mean of a random variable
+32949,32949,What is a binomial random variable in statistics
+32950,32950,How do you find the mean and standard deviation of a binomial distribution
+32951,32951,How can I calculate standard deviation in Excel
+32952,32952,Which measure of central tendency is affected by outliers
+32953,32953,Which measure of central tendency is most influenced by outliers quizlet
+32954,32954,Which of the following measures of central tendency is least affected by outliers
+32955,32955,Which measure of central tendency is affected by outliers chegg
+32956,32956,Which measure of location is most influenced by outliers
+32957,32957,What can outliers tell us
+32958,32958,Is range influenced by outliers
+32959,32959,Does outlier affect central tendency
+32960,32960,Which measure of central tendency happens the most
+32961,32961,What is positive feedback example
+32962,32962,How is LU decomposition used to solve a system
+32963,32963,Is the LU decomposition unique
+32964,32964,What is LU decomposition in linear algebra
+32965,32965,What is LU decomposition useful for
+32966,32966,How do you calculate LU decomposition
+32967,32967,What is the principle of LU factorization method
+32968,32968,What is one reason why GD&T is an improvement compared to traditional methods for describing part design
+32969,32969,What is GD&T engineering
+32970,32970,How many types of GD&T are there
+32971,32971,What are the GD&T symbols
+32972,32972,How do you do optimization problems
+32973,32973,What is the importance of probability in decision making
+32974,32974,What is the significance of probability
+32975,32975,Where does the word Eigen come from
+32976,32976,What is the point of eigenvalues
+32977,32977,What is an eigenvalue and eigenfunction
+32978,32978,What do you mean by Eigen function
+32979,32979,How do you find eigen functions
+32980,32980,How do you find the percentage of data between z scores
+32981,32981,Can you compare z scores
+32982,32982,How do you find the area between two z scores calculator
+32983,32983,What is the area under the normal curve between Z 1.0 and Z
+32984,32984,How do you find the area between two z scores
+32985,32985,How do you find the area under the standard normal curve to the right of Z
+32986,32986,Is Z score the same as percentile
+32987,32987,How do you find the Z score given the mean
+32988,32988,How long does it take to learn data structures and algorithms
+32989,32989,What is MAPE in regression
+32990,32990,What is a good MSE for regression
+32991,32991,How do you interpret absolute percentage error
+32992,32992,How do you predict using K means
+32993,32993,How does a KNN model work
+32994,32994,What does KNN algorithm do
+32995,32995,Is 0.82 A strong correlation
+32996,32996,How are eigenvalues and eigenvectors related
+32997,32997,How do you find corresponding eigenvectors
+32998,32998,How are neural networks built
+32999,32999,What are neural networks made up of
+33000,33000,Why is accuracy not always the best way to assess a model's performance in classification models
+33001,33001,How is R used in data analytics
+33002,33002,How is R used
+33003,33003,What does R stand for in data
+33004,33004,How is Wilcoxon test rank calculated
+33005,33005,What is the rationale for the test statistics used in the Wilcoxon signed rank test
+33006,33006,How does greedy algorithm work
+33007,33007,What is called greedy algorithm
+33008,33008,Are greedy algorithms recursive
+33009,33009,What does the law of averages say
+33010,33010,What is regression learning
+33011,33011,What is partitioning method in data mining
+33012,33012,What is the partition method
+33013,33013,What is the median percentage
+33014,33014,How do you find the median of two samples
+33015,33015,What are the methods of randomization
+33016,33016,What is randomization research
+33017,33017,What are good precision and recall values
+33018,33018,How is covariance related to correlation
+33019,33019,How do you convert a correlation matrix to a covariance matrix
+33020,33020,How do you analyze a correlation matrix
+33021,33021,How do you find the covariance matrix in R
+33022,33022,Is email unstructured data
+33023,33023,Why is unstructured data important
+33024,33024,How can we avoid local minima in gradient descent
+33025,33025,How do you determine the median
+33026,33026,What is the value of median score
+33027,33027,How do you interpret the mean median or mode
+33028,33028,Why mean and median are different
+33029,33029,What does the difference between mean and median tell you
+33030,33030,What is shape parameter in statistics
+33031,33031,How do you calculate gamma distribution parameters
+33032,33032,Is 0.6 a weak positive correlation
+33033,33033,How is logistic regression related to linear regression
+33034,33034,What is regression in logistic regression
+33035,33035,Why linear regression is called linear
+33036,33036,Is logistic regression a part of linear regression
+33037,33037,How is standard deviation affected by sample size
+33038,33038,Is sample standard deviation smaller than population standard deviation
+33039,33039,Does standard error depend on sample size
+33040,33040,What causes standard deviation to change
+33041,33041,What happens when the standard deviation increases
+33042,33042,What are different types of analysis
+33043,33043,What are the two main types of analysis
+33044,33044,What are the different types of data analytics
+33045,33045,What are the various methods of data analysis
+33046,33046,What is threshold of an image
+33047,33047,How can we save our machine learning model and make predictions in Weka
+33048,33048,Why do we need streaming analytics
+33049,33049,What is streaming analysis
+33050,33050,Which tool we used for streaming data analysis
+33051,33051,How do you figure out outliers
+33052,33052,Under which circumstances would it be appropriate to remove outlying data points
+33053,33053,What does low variance high bias mean
+33054,33054,What is variance estimate
+33055,33055,What does biasing mean
+33056,33056,What is bias example
+33057,33057,How do you find Iqr with mean and standard deviation
+33058,33058,How do you find the first quartile of a normal distribution
+33059,33059,How is Q1 calculated
+33060,33060,How do you compare Iqr
+33061,33061,What is an advantage of the standard deviation over the IQR
+33062,33062,What does the Iqr tell us
+33063,33063,Which indicator is used in fajans method
+33064,33064,How do you find class intervals
+33065,33065,What is class interval and class size
+33066,33066,What is the difference between class size and class interval
+33067,33067,What is class size of class interval
+33068,33068,What is meant by class interval
+33069,33069,What is the class width in statistics
+33070,33070,Why data should be normalized
+33071,33071,How can random error be minimized
+33072,33072,How can random error be minimized 11
+33073,33073,How can you minimize or eliminate experimental errors
+33074,33074,How do you minimize random errors
+33075,33075,How do you minimize errors
+33076,33076,What does it mean when something is quantized
+33077,33077,What does it mean to quantize music
+33078,33078,What is quantised energy
+33079,33079,What does Quantisation mean
+33080,33080,What is meant by the term quantized
+33081,33081,What is another word for polarizing
+33082,33082,What is the mean and variance of hypergeometric distribution
+33083,33083,How do you run a generalized estimate in SPSS
+33084,33084,What is Z score in bone density
+33085,33085,How do you calculate utility conjoint analysis
+33086,33086,How do I run a conjoint analysis in SPSS
+33087,33087,Can SurveyMonkey Analyse data
+33088,33088,Is Anova Parametric
+33089,33089,Is one way Anova parametric or nonparametric
+33090,33090,What is an ingroup and outgroup
+33091,33091,How is multivariate data analysis used in management
+33092,33092,What is motivation explain the types of motivation
+33093,33093,What are the various types of motivation
+33094,33094,What is motivation explain different types of motivation
+33095,33095,What is the types of motivation
+33096,33096,How do you determine if a range is a function
+33097,33097,How can you tell if the domain and range is a function
+33098,33098,What decision boundary can logistic regression provide Mcq
+33099,33099,Why is the logistic regression is considered linear
+33100,33100,How do you determine if a distribution is symmetrical
+33101,33101,Is at distribution symmetrical
+33102,33102,What distribution is left skewed
+33103,33103,How do you know if a distribution is skewed
+33104,33104,What does the least squares method do
+33105,33105,What are neurons machine learning
+33106,33106,What are neural networks in ML
+33107,33107,What is a neural network in deep learning
+33108,33108,What is the outcome variable dependent variable in this study
+33109,33109,What is an outcome variable
+33110,33110,How do you convert odds ratio to risk ratio
+33111,33111,What is difference between machine learning and artificial intelligence
+33112,33112,Why is PCA in unsupervised technique
+33113,33113,What does Morpheus say the matrix is
+33114,33114,What is Morpheus role in the Matrix
+33115,33115,Is Morpheus good or bad Matrix
+33116,33116,Who do the agents represent in the Matrix
+33117,33117,What does P value of 0.25 mean
+33118,33118,What does the Z score of a data point convey
+33119,33119,How do you find probability from Z score
+33120,33120,How do I use ImageNet
+33121,33121,How was ImageNet created
+33122,33122,What is the size of ImageNet dataset
+33123,33123,What is misclassification in machine learning
+33124,33124,Is artificial intelligence a major
+33125,33125,What is dummy dependent variable
+33126,33126,What are supervised machine learning types
+33127,33127,What exactly is probability
+33128,33128,How do you do a linear model
+33129,33129,How do you write a linear model equation
+33130,33130,What is a linear system model
+33131,33131,What is logistic regression in data mining
+33132,33132,What is the difference between logistic and linear regression
+33133,33133,What is logistic regression in research
+33134,33134,What is the formula for weighted average in Excel
+33135,33135,How do you calculate weighted grades
+33136,33136,How do you find average marginal effects
+33137,33137,What is the difference between a one sample test and a two sample test
+33138,33138,What are the conditions for a one sample t test
+33139,33139,What image recognition technology it is and how it works
+33140,33140,What is the Implicit Association Test used for
+33141,33141,Who developed the Implicit Association Test
+33142,33142,How can a test be reliable but not valid example
+33143,33143,Can a test have high reliability and low validity or vice versa
+33144,33144,What are advantages of algorithm
+33145,33145,What is the purpose of an algorithm
+33146,33146,What is an unusual z score
+33147,33147,What is normal distribution Z
+33148,33148,What does a high z score mean
+33149,33149,How do you know if you have a higher z score
+33150,33150,What is unequal variance t test
+33151,33151,When should you assume equal variances
+33152,33152,How do you know if variances are equal
+33153,33153,Which test is relevant for unequal variances
+33154,33154,What if variances are not equal
+33155,33155,What does assuming unequal variances mean
+33156,33156,Does a two sample test for equality of means assuming unequal variances
+33157,33157,How do you perform a two sample assuming unequal variance in Excel
+33158,33158,How do you read a factorial design
+33159,33159,How do you describe a factorial design
+33160,33160,What is the appropriate statistical test for factorial design
+33161,33161,How do you analyze factorial designs in Minitab
+33162,33162,Why is machine learning needed
+33163,33163,What is machine learning what is the need of it
+33164,33164,What is sentiment analysis in big data
+33165,33165,How do you start a sentiment analysis
+33166,33166,How do you write a sentiment analysis model
+33167,33167,What do you do with a sentiment analysis
+33168,33168,Is it difficult to learn artificial intelligence
+33169,33169,What are the parameters of a hypergeometric distribution
+33170,33170,What are the properties of a probability distribution
+33171,33171,What are the parameters of hypergeometric distribution
+33172,33172,What is language and mind connection
+33173,33173,What is the application of Fourier Transform
+33174,33174,What is Fourier series analysis
+33175,33175,What is Fourier analysis and synthesis
+33176,33176,What is mean by Fourier series
+33177,33177,What is correlation coefficient in regression
+33178,33178,How do you find the correlation coefficient from the regression coefficient
+33179,33179,What is the correlation coefficient in regression analysis excel
+33180,33180,How do you interpret correlation and regression results
+33181,33181,What is linear correlation
+33182,33182,How do you find the correlation of a regression line
+33183,33183,How do you find the correlation coefficient in a regression equation
+33184,33184,What is the correlation coefficient of the regression line
+33185,33185,How do you find r 2 in regression
+33186,33186,What is the relation between coefficient of correlation and regression coefficient
+33187,33187,What is the linear correlation coefficient r
+33188,33188,How is hysteresis loss measured
+33189,33189,What are the uses of studying the hysteresis curve for a given material
+33190,33190,What do you mean by hysteresis explain
+33191,33191,Is mid range a measure of center or spread
+33192,33192,Is range a measure of Centre
+33193,33193,What is the midrange of data
+33194,33194,Why is sample midrange better than mean
+33195,33195,Is Hmm a neural network
+33196,33196,What is HMM in artificial intelligence
+33197,33197,What is the purpose of conducting a concept analysis
+33198,33198,What is Concept analysis technique
+33199,33199,How are artificial neural network similar to the brain
+33200,33200,Is machine learning is inspired by the structure of the brain
+33201,33201,Why is data visualization important
+33202,33202,What is the job of a data visualization
+33203,33203,When should we use F test
+33204,33204,How do you use the F statistic
+33205,33205,How do you report degrees of freedom for F statistic
+33206,33206,What are the degrees of freedom for the t test
+33207,33207,What is AI and deep learning
+33208,33208,Where does the term hash it out come from
+33209,33209,What is another word for hash
+33210,33210,What is the purpose of hash function
+33211,33211,Why is hashing so important
+33212,33212,What is hashing and types of hashing
+33213,33213,What is hashing in coding
+33214,33214,What is the function of regression analysis
+33215,33215,What are regression functions
+33216,33216,Which functions are used in to determine the regression equation
+33217,33217,What is needed for regression analysis
+33218,33218,What is the function of regression
+33219,33219,Which function is used for regression relation lm () predict () Summary ()
+33220,33220,What statistical functions relate to regression analysis
+33221,33221,Is regression A statistical model
+33222,33222,What is the difference between causality and correlation quizlet
+33223,33223,What is causation quizlet
+33224,33224,Why is random not random
+33225,33225,Why would we want to standardize a normal distribution
+33226,33226,What causes normal distribution
+33227,33227,Do all normal distributions have the same mean and standard deviation
+33228,33228,What is at distribution vs normal distribution
+33229,33229,How do you use the dropout layer
+33230,33230,How do you implement dropout in Tensorflow
+33231,33231,Are absorbing states recurrent
+33232,33232,What is a recurrent Markov chain
+33233,33233,Under what condition is the chain positive recurrent
+33234,33234,How a K means clustering algorithm works give an example
+33235,33235,How do you calculate covariance matrix by hand
+33236,33236,How do you find the variance of a covariance
+33237,33237,How do you find the variance of a matrix
+33238,33238,How do you derive variance covariance matrix
+33239,33239,Can a null hypothesis be negative
+33240,33240,Can a hypothesis be negative
+33241,33241,Is the null hypothesis accepted or rejected
+33242,33242,Which hypotheses can be rejected
+33243,33243,How do you find the weighted mean example
+33244,33244,What are the situations in which would you recommend using weighted arithmetic mean than using simple arithmetic mean
+33245,33245,What is invariance of an equation
+33246,33246,What is meant by invariance
+33247,33247,What is the invariance hypothesis
+33248,33248,What does Det A )= 0 mean
+33249,33249,What does statistical correlation mean
+33250,33250,How do you normalize data in a histogram
+33251,33251,What is normalized probability
+33252,33252,Why do we normalize image data
+33253,33253,How do you standardize an image
+33254,33254,Should I normalize my data
+33255,33255,How do you normalize data on a graph
+33256,33256,How do you know if a experiment is binomial
+33257,33257,How can you tell the difference between a binomial and a regular distribution
+33258,33258,What is N dimensional vector
+33259,33259,What is R Power N
+33260,33260,What does it mean when you learn something new
+33261,33261,What do you feel when you learn something new
+33262,33262,How do you stay motivated when learning something new
+33263,33263,What new things can I learn
+33264,33264,Why is it important to learn new things
+33265,33265,What happens when you learn new things
+33266,33266,What does a distribution curve show
+33267,33267,What is true about the normal distribution
+33268,33268,How would you describe the shape of a normal curve
+33269,33269,What are the types of sampling design
+33270,33270,What do you mean by sample design what are the different steps involved in the sample design
+33271,33271,Where is AI used
+33272,33272,What are the four types of artificial intelligence
+33273,33273,What are the areas of artificial intelligence
+33274,33274,What are the various areas where AI can be used
+33275,33275,What is the value of a random variable
+33276,33276,What is meant by continuous random variable
+33277,33277,What is the mean of a discrete random variable X
+33278,33278,How do you find the EX for a continuous random variable
+33279,33279,How do you calculate a regression equation
+33280,33280,What is the advantage of randomized quicksort
+33281,33281,How do you scale a probability density function
+33282,33282,How do you find K in probability
+33283,33283,What are constants in statistics
+33284,33284,What is constant probability density
+33285,33285,What is the difference between accuracy and precision quizlet
+33286,33286,What is error and accuracy
+33287,33287,What is the difference between accuracy and precision explain with example
+33288,33288,What is the difference between precision and sensitivity
+33289,33289,What is a one tailed or two tailed hypothesis
+33290,33290,How do I use Gaussian blur in Gimp
+33291,33291,Which strategy is used for tuning hyper parameters Mcq
+33292,33292,What is fine tuning in machine learning
+33293,33293,What are examples of metrics
+33294,33294,What is a metric in data
+33295,33295,What are metrics and why are they important
+33296,33296,Why is it called one way Anova
+33297,33297,What is two way Anova
+33298,33298,How do you find standard deviation from mean deviation
+33299,33299,How do you describe a continuous random variable
+33300,33300,What are the properties of discrete random variable
+33301,33301,How do I convert string variables to numeric ones
+33302,33302,How do I convert a string variable to a numeric variable in SPSS
+33303,33303,Can a string variable equal a numeric variable
+33304,33304,What is dropout Tensorflow
+33305,33305,Why can probability be a negative number
+33306,33306,How do you find the probability of Z less than
+33307,33307,What is the probability that Z is less than 0
+33308,33308,How do you use weights to data
+33309,33309,How do you do inverse transformation in R
+33310,33310,What does inverse CDF mean
+33311,33311,How do you interpret cumulative distribution
+33312,33312,What is the smallest acceptable sample size
+33313,33313,How do you determine the effective sample size
+33314,33314,Whats a good sample size for a study
+33315,33315,What is effective sample size in MCMC
+33316,33316,What does a high z score tell you
+33317,33317,How do you interpret hazard ratios in survival analysis
+33318,33318,What is Gamma distribution in statistics
+33319,33319,How do you find optimal K in K mean
+33320,33320,Which statement is true about K means algorithm
+33321,33321,What is the objective of K means
+33322,33322,Is data science part of machine learning
+33323,33323,How do you collect data from a cross sectional study
+33324,33324,Where can I find cross sectional data
+33325,33325,Do you use multiple R squared or adjusted R squared
+33326,33326,Why is it better to use adjusted R squared in multiple linear regression
+33327,33327,What is the difference between R r2 and adjusted r2 in multiple linear regression
+33328,33328,What is r squared and adjusted R squared
+33329,33329,What does adjusted R 2 mean
+33330,33330,What is the probability of the mean in a normal distribution
+33331,33331,When should normal distribution be used
+33332,33332,What is required to have a normal probability distribution
+33333,33333,What are parametric and non parametric test in statistics
+33334,33334,Why we use nonparametric test in statistics
+33335,33335,What is data level parallelism called
+33336,33336,What does it mean to encode data
+33337,33337,What are different types of encoding
+33338,33338,What is the difference between b0 and Y
+33339,33339,How do you find A and B in Y ax B
+33340,33340,What is B in Y intercept form
+33341,33341,What is the B value in Y MX B
+33342,33342,What does B represent in y a bx
+33343,33343,How do you prove a matrix is symmetric
+33344,33344,What does it mean for a matrix to be symmetric
+33345,33345,What are the properties of a symmetric matrix
+33346,33346,What is symmetric matrix give example
+33347,33347,What does it mean to have a symmetric matrix
+33348,33348,How do you write a symmetric matrix
+33349,33349,How do you find symmetric and skew symmetric matrix
+33350,33350,What is the difference between bivariate and univariate
+33351,33351,What is univariate and bivariate frequency distribution
+33352,33352,Is Cronbach's alpha a measure of reliability
+33353,33353,What is Cronbach's alpha used for
+33354,33354,Which method can be used to estimate reliability of test Slideshare
+33355,33355,How can reliability of a test be obtained
+33356,33356,When null hypothesis is accepted or rejected
+33357,33357,What is the alpha criterion
+33358,33358,How can you make the null hypothesis easier to reject
+33359,33359,How do you accept or reject the null hypothesis in Anova
+33360,33360,What is precision recall and F1 score
+33361,33361,What is precision and recall in ML
+33362,33362,What is the difference between F1 score and accuracy
+33363,33363,What is accuracy Precision Recall F1 score
+33364,33364,What does F1 score indicate
+33365,33365,What is the best reason to perform an Anova test rather than multiple t tests
+33366,33366,Why would you use an Anova test
+33367,33367,What is class mark of a class interval
+33368,33368,What is a class mark
+33369,33369,How R can be used for predictive analysis
+33370,33370,How do you determine if two proportions are significantly different
+33371,33371,Which test determines if there is a difference between two proportions
+33372,33372,Are two means statistically different
+33373,33373,What does Regularisation mean
+33374,33374,How do you find interactions
+33375,33375,When can you apply the Central Limit Theorem
+33376,33376,What does it mean for a data set to be normally distributed
+33377,33377,Should data be normally distributed for linear regression
+33378,33378,Why does data have to be normally distributed
+33379,33379,Does data follow normal distribution
+33380,33380,What is normal distribution why it is significant in data science
+33381,33381,Can Kafka transform data
+33382,33382,What is discount factor in reinforcement learning
+33383,33383,Why Is bias a problem
+33384,33384,What is the difference between a t test for independent samples and a t test for dependent samples
+33385,33385,How do you find the spectral decomposition of a matrix
+33386,33386,What is spectrum in linear algebra
+33387,33387,How do you find the spectrum of an operator
+33388,33388,What is spectral value
+33389,33389,Why do we use non parametric test
+33390,33390,Is recurrent neural network supervised or unsupervised
+33391,33391,How social media use artificial intelligence
+33392,33392,How is AI used in social media and gaming
+33393,33393,How does social media use machine learning
+33394,33394,Does Facebook use TensorFlow
+33395,33395,What does deep mind mean
+33396,33396,What is DeepMind doing now
+33397,33397,What is a vector in econometrics
+33398,33398,Where is logistic regression used
+33399,33399,What industries use logistic regression
+33400,33400,How can you tell if someone is happy
+33401,33401,How do you create a decision rule
+33402,33402,Can the null hypothesis be rejected
+33403,33403,Why is null hypothesis the one to be disproved in a research study
+33404,33404,What does it mean if the null hypothesis is false
+33405,33405,How many methods are there to validate any design
+33406,33406,Why is F test right tailed
+33407,33407,Are all F tests non directional
+33408,33408,What is sigmoid layer
+33409,33409,What does sigmoid function return
+33410,33410,What does sigmoid mean
+33411,33411,What does covariance signify
+33412,33412,Why do you use coefficient of correlation instead of covariance when calculating the association between two random variables
+33413,33413,Is correlation coefficient the same as covariance
+33414,33414,Why would you use a correlation coefficient
+33415,33415,Is expected value same as mean and average
+33416,33416,What comes under inferential statistics
+33417,33417,What is a frequency matrix
+33418,33418,What is meant by the term frequency
+33419,33419,Why we use TF IDF
+33420,33420,How do you calculate given probability
+33421,33421,What is the mean of the sampling proportion
+33422,33422,What is sampling distribution of sample proportion
+33423,33423,How do you find the proportion of data
+33424,33424,How do you find the proportion in statistics with mean and standard deviation
+33425,33425,Where do you apply Bayes Theorem
+33426,33426,What do you mean by optimization techniques
+33427,33427,Why optimization techniques are used
+33428,33428,Which of the following activation functions is used in convolutional neural network
+33429,33429,What is TensorFlow choose all that apply
+33430,33430,What are IID normal random variables
+33431,33431,Are the residuals independent
+33432,33432,What are the residuals in a regression analysis
+33433,33433,Are residuals normally distributed
+33434,33434,What is KL divergence used for
+33435,33435,How do you calculate KL divergence
+33436,33436,What are attention models
+33437,33437,What are the conditions for applying chi square test
+33438,33438,What are the applications of chi square distribution
+33439,33439,When would you use a chi square goodness of fit test
+33440,33440,What are the conditions for application of a goodness of fit test
+33441,33441,How do you calculate bias in statistics
+33442,33442,What are the types of bias in statistics
+33443,33443,What makes a distribution binomial
+33444,33444,How do you improve the accuracy of a classifier
+33445,33445,Which of the following is true for cluster analysis
+33446,33446,What do you mean by knowledge representation in AI
+33447,33447,How is statistical significance related to probability
+33448,33448,How is the significance level related to the probability of a Type I error
+33449,33449,What is the relationship between the level of significance and the p value
+33450,33450,What is the linear cost function
+33451,33451,How do you write a linear cost function
+33452,33452,What does linear cost mean
+33453,33453,What is the meaning of linear function
+33454,33454,What is an example of a linear function equation
+33455,33455,What is the cost loss function in deep learning concept
+33456,33456,How do you increase r2 in linear regression
+33457,33457,Why is serial correlation bad
+33458,33458,What is the purpose of a loss function in machine learning
+33459,33459,What does unbiased mean in probability
+33460,33460,What does it mean when a coefficient is statistically significant
+33461,33461,What is the meaning of a significant correlation coefficient quizlet
+33462,33462,How do you present a machine learning model
+33463,33463,Can we use parametric tests with nonparametric data
+33464,33464,How do you Analyse data using non parametric methods
+33465,33465,Can random error be measured
+33466,33466,When would you use a density plot
+33467,33467,What is a kernel density plot
+33468,33468,What is meant by frequency density
+33469,33469,Is cumulative frequency the same as frequency density
+33470,33470,Can decision tree be used for predicting the continuous output values
+33471,33471,How do you find interval size
+33472,33472,What is the size of the class interval
+33473,33473,Is class size and class interval the same
+33474,33474,How do you represent a random variable and its value
+33475,33475,What is random variable notation
+33476,33476,What is the symbol for random sample
+33477,33477,What is the function of indicator
+33478,33478,How is a Lorenz curve constructed
+33479,33479,How do you draw a Lorenz curve
+33480,33480,How is the Lorenz curve calculated
+33481,33481,How do you describe a Lorenz curve
+33482,33482,What is the relationship between Gini coefficient and Lorenz curve
+33483,33483,What do you mean by Lorenz curve
+33484,33484,How do you reduce AI bias
+33485,33485,How are a normal curve and frequency distribution related
+33486,33486,What does a normal distribution curve tell us
+33487,33487,What are the three characteristics of the normal curve or normal distribution
+33488,33488,What is meant by back propagation
+33489,33489,What is the effect of choosing a small alpha in gradient descent
+33490,33490,Why is TensorFlow used
+33491,33491,How do you analyze a dataset
+33492,33492,What is data analysis and its types
+33493,33493,What is a good way to analyze data
+33494,33494,What does it mean when you analyze data
+33495,33495,What is the process for analyzing data
+33496,33496,What are the merits of sampling
+33497,33497,Why do we use Prescriptive Analytics
+33498,33498,Can you run at test with unequal sample sizes
+33499,33499,Why is it important to avoid a smaller sample size
+33500,33500,What is a classification problem in machine learning
+33501,33501,What is hierarchical regression analysis
+33502,33502,Is age group an ordinal variable
+33503,33503,Is age an interval data
+33504,33504,Is year an ordinal variable
+33505,33505,What kind of data are considered ordinal
+33506,33506,How is random sampling is better than systematic sampling
+33507,33507,Why do we need to randomize your selection of samples
+33508,33508,Why is it important to randomly select a sample
+33509,33509,Why is randomization important in the selection of a sample from a population
+33510,33510,How many independent and dependent variables are there
+33511,33511,Why is kernel used
+33512,33512,Why do we use odds ratio
+33513,33513,How do you explain odds ratios
+33514,33514,What are the key features of a normal curve
+33515,33515,What is the equation of the normal curve
+33516,33516,What happens if AIC is negative
+33517,33517,Who invented ROC
+33518,33518,Why are energy levels described as quantized
+33519,33519,What are quantized energy levels
+33520,33520,Why are orbits quantized
+33521,33521,What is AVC at its minimum
+33522,33522,How do you reduce AVC
+33523,33523,What is the minimum cost output
+33524,33524,Why does the minimum point of AC falls to the right of AVC curve
+33525,33525,Why does the ATC curve reach its lowest point after the AVC
+33526,33526,When average variable cost is at a minimum
+33527,33527,What are the uses of analytics tool
+33528,33528,Why are data analysis tools important
+33529,33529,What does a residual plot tell you
+33530,33530,How do you tell if a regression line is a good fit
+33531,33531,What is the line of best fit for this data
+33532,33532,What are the missing value imputation techniques
+33533,33533,What is the best method to deal with missing feature of a dataset
+33534,33534,How do you handle missing values in categorical features
+33535,33535,How do you impute data
+33536,33536,What is the mean of Z scores
+33537,33537,What is the mean z in a set of data
+33538,33538,How do you interpret Z test
+33539,33539,What is positional index
+33540,33540,What is meant by inverted index
+33541,33541,What is forward indexing and backward indexing
+33542,33542,Which of the following is a type of naive Bayes algorithms
+33543,33543,Is naive Bayes an algorithm
+33544,33544,Why is naive Bayes algorithm considered as naive
+33545,33545,What is additive and multiplicative seasonality
+33546,33546,Can chi square test be used for ordinal data
+33547,33547,Can you do at test on ordinal data
+33548,33548,How do you collect ordinal data
+33549,33549,How do you interpret log likelihood values
+33550,33550,What is the role of quantization in image processing
+33551,33551,Why do we standardize variables
+33552,33552,What are standardized variables
+33553,33553,What does it mean for a transformation to be linear
+33554,33554,What is a non linear transformation
+33555,33555,Why is every matrix transformation a linear transformation
+33556,33556,Why is it called a linear function
+33557,33557,Why Linear algebra is called linear
+33558,33558,What is a linear equation in linear algebra
+33559,33559,Does standard deviation change with sample size
+33560,33560,Does frequency affect standard deviation
+33561,33561,How do you train models in machine learning
+33562,33562,What region shows the z value for a one tailed test
+33563,33563,What are the differences between supervised and unsupervised machine learning Explain what you think semi supervised machine learning is
+33564,33564,How is machine learning different from data mining
+33565,33565,What is data mining in statistics
+33566,33566,Is data mining the same as data analytics
+33567,33567,Is data mining a part of machine learning
+33568,33568,What does artificial intelligence include
+33569,33569,Is big data part of artificial intelligence
+33570,33570,What is the difference between AI and data analytics
+33571,33571,What is difference between data analytics and machine learning
+33572,33572,What is N gram used for
+33573,33573,What does capital M mean in statistics
+33574,33574,What is the symbol for average
+33575,33575,What does μ mean in statistics
+33576,33576,What does M stand for in statistics
+33577,33577,What are the symbols used in statistics
+33578,33578,What does I mean in statistics
+33579,33579,How do you find Mue in statistics
+33580,33580,When should we use median instead of mean
+33581,33581,When to use median vs mean VS mode
+33582,33582,Is K means supervised or unsupervised
+33583,33583,What does dependent mean in probability
+33584,33584,How do you deploy machine learning models into production
+33585,33585,How is machine learning used in manufacturing
+33586,33586,What is the meaning of causal analysis
+33587,33587,How do you test a causal relationship
+33588,33588,What is data quantization
+33589,33589,What is the difference between sampling and quantization
+33590,33590,What characterizes a quantizer
+33591,33591,What is the probability of type 2 error
+33592,33592,What type of data is needed for chi square test
+33593,33593,What is the KNN imputation method
+33594,33594,Can Knn handle missing values
+33595,33595,Which algorithm is used to input the missing values of both continuous and categorical variables
+33596,33596,Why does logistic regression use log odds
+33597,33597,What is the significance of log odds
+33598,33598,How do you calculate log odds
+33599,33599,What are odds and log odds
+33600,33600,Why do we use odds instead of probability
+33601,33601,What is a disadvantage of a quota sampling
+33602,33602,What are the disadvantages of sampling method
+33603,33603,What is the central risk in using quota sampling methods
+33604,33604,What is meant by a feature detector in the visual system
+33605,33605,What are two components of feature matching
+33606,33606,What is feature matching AAC
+33607,33607,Is unsupervised learning deep learning
+33608,33608,What is the difference between supervised and unsupervised deep learning
+33609,33609,Is a two sample t test Parametric
+33610,33610,Is t test a non parametric test
+33611,33611,What information should be placed on a decision tree
+33612,33612,How do you interpret correlation matrix in SPSS
+33613,33613,How do you interpret correlation output
+33614,33614,How do you describe the correlation of a scatter graph
+33615,33615,What is time variant and time invariant
+33616,33616,What does linear time invariant mean
+33617,33617,What is accomplished by gradient descent in machine learning
+33618,33618,Why do we minimize cost function
+33619,33619,What is the size of kernel
+33620,33620,What is the kernel size
+33621,33621,What is the difference between population proportion and population mean
+33622,33622,What is a sample proportion
+33623,33623,Under what conditions is the sampling distribution of sample proportion approximately normal
+33624,33624,What is the meaning of sentiment analysis
+33625,33625,What is the relationship between the variance and the standard deviation quizlet
+33626,33626,What is the relationship between the variance and the standard deviation for a sample data set the standard deviation is equal to half the variance
+33627,33627,What is the relationship between the variance
+33628,33628,Is there a difference between sample standard deviation and standard deviation
+33629,33629,Is sample proportion the same as standard deviation
+33630,33630,How do you find the inverse of a binomial
+33631,33631,When P 0.5 The binomial distribution will
+33632,33632,What is inclusive and exclusive series in statistics
+33633,33633,What is exclusive method in statistics
+33634,33634,What are the two types of AI models
+33635,33635,How do you detect autocorrelation
+33636,33636,Which test is used to detect autocorrelation in an autoregressive model
+33637,33637,What are the remedial measures of autocorrelation
+33638,33638,How can autocorrelation be reduced
+33639,33639,What is are the disadvantage s of the Durbin Watson test
+33640,33640,What are different cost estimation techniques
+33641,33641,How do you find the sample point estimate
+33642,33642,What happens to the P value when the test statistic increases
+33643,33643,What is PSD G 2 Hz
+33644,33644,What is theoretical analysis of an algorithm
+33645,33645,What is asymptotic notation and its types
+33646,33646,What are the asymptotic notations and give its properties
+33647,33647,How is AI related to machine learning
+33648,33648,Is deep learning artificial intelligence
+33649,33649,Is deep learning a narrow AI technology
+33650,33650,What is optimization algorithm
+33651,33651,What does sampling with replacement mean
+33652,33652,What is a sampling unit in statistics
+33653,33653,What do you mean by sampling units
+33654,33654,What is statistical unit and its types
+33655,33655,What is the meaning of sampling method
+33656,33656,What is a hash value
+33657,33657,Is CRC32 a good hash
+33658,33658,What is hash function and how it works
+33659,33659,What is hash function give example
+33660,33660,How do you measure variability in Excel
+33661,33661,What is the formula for variability
+33662,33662,How do you find the variance in Excel
+33663,33663,How do you find the variance of data
+33664,33664,What is the formula used to calculate the variance of a set of data
+33665,33665,What does variation in data mean
+33666,33666,Does mean show variability
+33667,33667,What causes variability in data
+33668,33668,Why Artificial intelligence is the future
+33669,33669,How close are we to developing artificial intelligence
+33670,33670,What is the means of deviation
+33671,33671,What is a mean deviation in statistics
+33672,33672,What loss function is used for logistic regression
+33673,33673,What is the formula for the logistic regression function
+33674,33674,What is the cost function in logistic regression
+33675,33675,What is DL in machine learning
+33676,33676,What does ML DL mean
+33677,33677,How do you read a Lagrangian multiplier
+33678,33678,What is lambda in Lagrangian multiplier
+33679,33679,What does it mean if correlation coefficient is negative
+33680,33680,Can a coefficient be a negative number
+33681,33681,What does it mean if your R value is negative
+33682,33682,How do you calculate expectation
+33683,33683,How do you find the independence of two random variables
+33684,33684,What is the principle of random sampling
+33685,33685,What is the principal purpose of sampling
+33686,33686,What are the main method of sampling
+33687,33687,What is prior probability evidence
+33688,33688,How do you develop face recognition
+33689,33689,What is the technology behind facial recognition
+33690,33690,How is facial recognition fooled
+33691,33691,How does sample size affect variation
+33692,33692,What affects variance
+33693,33693,What does a large sample variance mean
+33694,33694,What is cosine similarity in Python
+33695,33695,What is the output of linear regression
+33696,33696,What does a high intercept mean in regression
+33697,33697,What are regression parameters
+33698,33698,What is E in logistic regression
+33699,33699,Why is correlation more useful than covariance
+33700,33700,What makes correlation different from covariance
+33701,33701,How do you find class limits and boundaries
+33702,33702,What conditions are necessary in order to use the Z test to test the difference between two population proportions
+33703,33703,When would you use the Z test to compare two sample statistics
+33704,33704,Which condition must be met to conduct a test for the difference in two sample means using a Z statistic
+33705,33705,What is Z test for proportions
+33706,33706,How do you explain multiple regression analysis
+33707,33707,What are the general limitations of backpropagation neural network
+33708,33708,Why is pooling layer used in CNN
+33709,33709,What is cross correlation in signal processing
+33710,33710,What are text analysis tools
+33711,33711,What is text analytics used for
+33712,33712,What are ml pipelines
+33713,33713,How is Mann Whitney U test rank calculated
+33714,33714,How do you find a median rank
+33715,33715,What is a keras tensor
+33716,33716,What is keras vs TensorFlow
+33717,33717,What is the regression formula in Excel
+33718,33718,Is selection bias a threat to external validity
+33719,33719,Does researcher bias affect validity or reliability
+33720,33720,What is a weakness of correlational studies
+33721,33721,What is one of the disadvantages of the correlational method
+33722,33722,What are the problems with correlational data
+33723,33723,What is the primary flaw with correlational research
+33724,33724,What are the disadvantages of a correlational study
+33725,33725,What are the advantages and disadvantages of a correlational study
+33726,33726,What is a problem with correlational studies
+33727,33727,Is year a categorical variable
+33728,33728,How do you draw a decision tree diagram
+33729,33729,How far away is AGI
+33730,33730,What is the difference between AGI and AI
+33731,33731,How is Ani different from AGI
+33732,33732,What does Adam Optimizer do
+33733,33733,How do you know if a matrix has eigenvalues
+33734,33734,Is λ an eigenvalue of
+33735,33735,How do you tell if a vector is an eigenvector of a matrix
+33736,33736,What are eigenvectors used for
+33737,33737,How do you find the centroid in K means clustering in R
+33738,33738,How do you convert log odds to probability
+33739,33739,What is the formula for descriptive statistics
+33740,33740,What are the main methods of descriptive statistics
+33741,33741,How are descriptive statistics displayed
+33742,33742,What is the difference between inferential and descriptive statistics
+33743,33743,Is Gan A CNN
+33744,33744,What is likelihood in risk assessment
+33745,33745,What can I use TensorFlow for
+33746,33746,How do you make a ML model using TensorFlow
+33747,33747,How did Kappa become popular
+33748,33748,What does Kappa symbolize
+33749,33749,Who is the Kappa guy
+33750,33750,How do you solve convolution problems
+33751,33751,How do you find the convolution in Matlab
+33752,33752,What is an output value
+33753,33753,What is the output when the input is
+33754,33754,Is y the output
+33755,33755,How do you find two standard deviations from the mean
+33756,33756,What is 3 standard deviations from the mean
+33757,33757,What is standard deviation measured in
+33758,33758,What is the CDF of a continuous random variable
+33759,33759,What is the purpose of Word2Vec
+33760,33760,What is a second order partial derivative
+33761,33761,How do you find first and second order partial derivatives
+33762,33762,What does Second derivative represent
+33763,33763,What happens when second derivative is positive
+33764,33764,What does it mean when second derivative is a constant
+33765,33765,What is the second derivative rule
+33766,33766,What is ML optimization
+33767,33767,What does BRCA2 positive mean
+33768,33768,What does BRCA 2 mean
+33769,33769,What happens if BRCA2 is mutated
+33770,33770,What is the goal of random sampling
+33771,33771,What is random sampling without replacement
+33772,33772,What is the purpose of random selection
+33773,33773,What is random sampling used for
+33774,33774,What does it mean to randomly select a sample from the target group
+33775,33775,What is a good Cohen kappa score
+33776,33776,How do you interpret b1 in simple linear regression
+33777,33777,What does B stand for in SPSS
+33778,33778,What is objective function in AI
+33779,33779,What is random assignment in research
+33780,33780,What does it mean to randomly assign participants to a condition
+33781,33781,Why is the random assignment of individuals to experimental and control groups important for an experiment
+33782,33782,Should experimental and control group always be selected randomly
+33783,33783,Why is random assignment used in between subjects experimental research
+33784,33784,What are decision trees How are they created
+33785,33785,How do you do a decision tree analysis
+33786,33786,What are the steps in making a decision tree
+33787,33787,What is decision tree analysis
+33788,33788,Which of the following is the 4th step in analyzing problems with decision trees
+33789,33789,How do you find N point DFT
+33790,33790,What do you mean by N point DFT
+33791,33791,What is an N point
+33792,33792,What is N in N point DFT
+33793,33793,What is K in Fourier Transform
+33794,33794,What are DFT coefficients
+33795,33795,What is wn in DFT
+33796,33796,Is Anova a regression model
+33797,33797,Is Anova a linear model
+33798,33798,How do you analyze multiple regression
+33799,33799,What is the observed value of Z
+33800,33800,When the Z statistic falls in the critical region of the Z distribution it means that
+33801,33801,What factors lead to a positive skew
+33802,33802,How does a distribution become skewed
+33803,33803,Which language is used in deep learning
+33804,33804,Does deep learning require coding
+33805,33805,Is Python good for deep learning
+33806,33806,What are the chances of a false positive pregnancy test
+33807,33807,What is an entropy source
+33808,33808,What is my entropy source
+33809,33809,What is entropy in computer security
+33810,33810,What is an entropy pool
+33811,33811,What methods are used to analyze qualitative data
+33812,33812,How do you analyze qualitative content
+33813,33813,How do you Analyse multiple response data
+33814,33814,How do you analyze survey responses
+33815,33815,Why are feature detectors important
+33816,33816,What do feature detectors do
+33817,33817,Where are your feature detectors
+33818,33818,How does the brain use features detectors during parallel processing of visual information
+33819,33819,How do feature detectors help
+33820,33820,What is the purpose of feature detectors
+33821,33821,Where are feature detectors located in the visual system
+33822,33822,Where are feature detectors
+33823,33823,Does scaling reduce image quality
+33824,33824,What is downsampling in machine learning
+33825,33825,How do I lower the quality of a picture
+33826,33826,How do I reduce the quality of a JPEG image
+33827,33827,How can I change the quality of a picture
+33828,33828,What makes data Parametric
+33829,33829,What are the methods of estimating probability
+33830,33830,What is an empirical estimate
+33831,33831,What is the mean of a chi square distribution with 6 degree of freedom
+33832,33832,What is DF in Chi Square
+33833,33833,What is reinforcement in machine learning
+33834,33834,Is reinforcement learning deep learning
+33835,33835,What does misuse of statistics mean
+33836,33836,What is segmentation in computer vision
+33837,33837,When should you interpolate data
+33838,33838,Why is interpolation reliable
+33839,33839,Why is solving using linear interpolation important
+33840,33840,What is the difference between a single sample z test and a single sample t test
+33841,33841,What is a single sample
+33842,33842,What is the formula for t test in statistics
+33843,33843,What is the t statistic calculated from the sampled data
+33844,33844,What is the formula for t test of independent samples
+33845,33845,What does standard error of regression tell you
+33846,33846,What does standardized regression coefficient mean
+33847,33847,Is there bias in systematic sampling
+33848,33848,Why is convenience sampling biased
+33849,33849,What is logistic regression vs linear regression
+33850,33850,What is meant by linear regression model
+33851,33851,Is linear regression linear
+33852,33852,Who gave the concept of learning
+33853,33853,What is the meaning of conceptual learning
+33854,33854,How does a decision tree decide to split
+33855,33855,What is splitting variable in big data analytics
+33856,33856,What is the criteria to select nodes for splitting in a decision tree
+33857,33857,What is criterion in decision tree
+33858,33858,How are artificial intelligence machine learning and deep learning related
+33859,33859,Is ML same as AI
+33860,33860,What is the P value of the chi square test of independence
+33861,33861,What does sequential learning mean
+33862,33862,What is horizontal transfer of learning
+33863,33863,What does sequential learning mean and how can it be helpful
+33864,33864,What I learned about sequence
+33865,33865,What is the sensitivity criterion
+33866,33866,What is sensitivity bias
+33867,33867,What factors affect signal detection
+33868,33868,Why do we need to find eigenvalues
+33869,33869,Is coding required for machine learning
+33870,33870,Is machine learning different from coding
+33871,33871,What is learning machine learning
+33872,33872,What is the difference between AI and coding
+33873,33873,Why AI is so important
+33874,33874,How can artificial intelligence benefit humans
+33875,33875,What are advantages and disadvantages of artificial intelligence
+33876,33876,What are the advantages of AI
+33877,33877,What are the disadvantages of AI
+33878,33878,What exactly is AI
+33879,33879,Is it better to have a high or low variance
+33880,33880,What does variance mean in descriptive statistics
+33881,33881,What does the Poisson distribution represent
+33882,33882,How are Poisson and exponential distributions related
+33883,33883,How Poisson distribution is derived
+33884,33884,How do you derive an exponential distribution
+33885,33885,What is Poisson distribution used for
+33886,33886,How do Quantiles work
+33887,33887,How do you use ACF and PACF plots
+33888,33888,What is autocorrelation
+33889,33889,What is autocorrelation in linear regression
+33890,33890,What is the null hypothesis for a Mann Whitney U test
+33891,33891,How is the t distribution similar to the standard Z distribution
+33892,33892,What are the similarities and difference of a Z test and a t test
+33893,33893,What is the difference between t test and t distribution
+33894,33894,What's the difference between z test and t test
+33895,33895,Which activation function is used in the hidden layers of CNN
+33896,33896,What type of data is used in a histogram
+33897,33897,What graph is used for qualitative data
+33898,33898,Can histograms be used for quantitative data
+33899,33899,What is the distribution of a data set
+33900,33900,Why are distributions important in statistics
+33901,33901,How do you analyze data distribution
+33902,33902,What does the mean tell us about a distribution
+33903,33903,Why we use distribution in statistics
+33904,33904,What is a one sample proportion z test
+33905,33905,Why do we use biased data
+33906,33906,What does bias in data mean
+33907,33907,How does bias impact a study
+33908,33908,What is a bias in a statistical study
+33909,33909,How can biased sampling affect the statistical study of a population
+33910,33910,Why it is important to create a truly unbiased sample and survey questions
+33911,33911,What does it mean to have an unbiased sample
+33912,33912,How is artificial intelligence a threat
+33913,33913,Why is artificial intelligence dangerous
+33914,33914,Why is artificial intelligence a threat
+33915,33915,What are the benefits and risks of artificial intelligence
+33916,33916,What is the shape of the sampling distribution
+33917,33917,How do you know if a sampling distribution is skewed
+33918,33918,What is the expected mean for the distribution of sampling means
+33919,33919,What type of shape does the distribution of the sample appear to have
+33920,33920,How do you compare the shape of a sampling distribution
+33921,33921,What is the shape of the sampling distribution of the sample mean
+33922,33922,What is the shape of the sampling distribution of p hat
+33923,33923,Is gradient descent technique for solving optimization problems
+33924,33924,How do you select variables in logistic regression
+33925,33925,What is the purpose of cluster analysis in data warehousing
+33926,33926,How do you interpret confidence level
+33927,33927,What do you mean by clustering What are the benefits
+33928,33928,How do I test interaction effects in SPSS
+33929,33929,What does an interaction mean in statistics
+33930,33930,What is a two way interaction in statistics
+33931,33931,How can we use artificial intelligence
+33932,33932,How is AI used in society
+33933,33933,What is machine learning applications
+33934,33934,What is ML example
+33935,33935,Which of the following are applications of machine learning and deep learning
+33936,33936,Which of the following are the applications of machine learning
+33937,33937,What are the applications of TensorFlow
+33938,33938,What is meant by machine learning
+33939,33939,How does machine learning consume data
+33940,33940,How does machine learning use big data
+33941,33941,What does the value of standard deviation tell us
+33942,33942,What does relative average deviation tell us
+33943,33943,Are standardized scores and Z scores the same
+33944,33944,What are the requirements for using t test
+33945,33945,Is the t test robust
+33946,33946,What are the limitations of a one sample t test
+33947,33947,What is a one sample t test used for
+33948,33948,How do I change the angle of a picture
+33949,33949,How do I drag a picture in Word
+33950,33950,How do you move an image to the right in CSS
+33951,33951,How do I align an image to the right
+33952,33952,How do you explain binomial theorem
+33953,33953,How do you read a binomial distribution graph
+33954,33954,How do you find the linearity of a linear regression
+33955,33955,What is linearity in multiple regression
+33956,33956,How do you find the assumption of linearity
+33957,33957,How do you calculate regression assumptions
+33958,33958,How do you test multiple regression assumptions in SPSS
+33959,33959,How do you analyze multiple linear regression in SPSS
+33960,33960,What is the difference between a feedforward neural network FFNN and a recurrent neural network RNN )? What can a RNN do that a FFNN Cannot do
+33961,33961,What is dense layer in machine learning
+33962,33962,How do curves work in photo editing
+33963,33963,What do curves do
+33964,33964,What are tone curves
+33965,33965,What is the curve tool
+33966,33966,How is weighted KNN algorithm better simple KNN algorithm
+33967,33967,What does entropy depend on
+33968,33968,How do you read mutual information
+33969,33969,What is PMI in DAA
+33970,33970,Which tool is best suited for neural network problem
+33971,33971,What are the applications of artificial neural networks
+33972,33972,How do you graph probability
+33973,33973,How do you graph a probability distribution on a TI 84
+33974,33974,How do you graph a binomial probability distribution
+33975,33975,What is kernel in Matrix
+33976,33976,What is the kernel of a linear transformation
+33977,33977,What is kernel and image of a matrix
+33978,33978,Is kernel the same as null space
+33979,33979,What is the kernel of a function
+33980,33980,How do you find the kernel and range of a linear transformation
+33981,33981,How do you find the kernel of a vector
+33982,33982,What is kernel in vector space
+33983,33983,How do you calculate kernel basis
+33984,33984,How do you find the basis of a linear transformation
+33985,33985,How do you find a basis for the null space of A
+33986,33986,How do you define learning
+33987,33987,What do you mean by learning in machine learning
+33988,33988,What is machine learning and examples
+33989,33989,What is the square of the variance
+33990,33990,Why do you square the variance
+33991,33991,How do you find the sum of squared deviations
+33992,33992,How do you find the sum of squares from standard deviation
+33993,33993,How do you tell if the distribution is normal
+33994,33994,How many different normal distributions are there
+33995,33995,How do you combine normal distributions
+33996,33996,What is simple and multiple regression analysis
+33997,33997,What does a regression analysis tell us
+33998,33998,How do you find the random sample size
+33999,33999,What is K in systematic sampling
+34000,34000,How do you find the interval in systematic sampling
+34001,34001,How do you solve systematic random sampling
+34002,34002,Why does entropy use log base 2
+34003,34003,What is the difference between log base 10 and log base 2
+34004,34004,How do you find the probability function of x
+34005,34005,How do you find the probability density of a random variable X
+34006,34006,How do you know if something is a probability density function
+34007,34007,WHAT IS lens blur
+34008,34008,Why do we use Gaussian filters
+34009,34009,What is class boundary
+34010,34010,What is judgment sampling and example
+34011,34011,What is an example of purposive sampling
+34012,34012,What does K after a number mean
+34013,34013,What does K mean from a guy
+34014,34014,What makes a system isolated
+34015,34015,What is an example of an isolated system
+34016,34016,What is the difference between isolated and closed system
+34017,34017,How do you find the standard deviation of a geometric distribution
+34018,34018,How do you find the mean and variance of a geometric distribution
+34019,34019,How do you find the mean of a binomial distribution on a TI 84
+34020,34020,What is conditioning in statistics
+34021,34021,What is the normal condition in statistics
+34022,34022,What is conditional mean and variance
+34023,34023,What is a linear model of communication
+34024,34024,What are linear and non linear models
+34025,34025,What is regression analysis output
+34026,34026,What is the output variable type in linear regression
+34027,34027,What are the applications of artificial intelligence system
+34028,34028,Where can I apply artificial intelligence
+34029,34029,What is Alphabeta
+34030,34030,What is Alpha Beta pruning explain with example
+34031,34031,What is the difference between alpha and beta pruning
+34032,34032,What is standardized factor loading
+34033,34033,What is Delta E in color measurement
+34034,34034,What is Delta E formula
+34035,34035,What does L * a * b * stand for
+34036,34036,What is a Delta E reading
+34037,34037,What is Delta E value
+34038,34038,What is a good Delta E
+34039,34039,How is Delta E calculated
+34040,34040,How do you prove a linear transformation
+34041,34041,What makes a transformation linear
+34042,34042,How do you determine if a matrix is a linear transformation
+34043,34043,How do you prove a function is a linear transformation
+34044,34044,What is TFX Itworks
+34045,34045,What is autotune in TensorFlow
+34046,34046,What is TensorFlow extended
+34047,34047,Is logistic regression for classification
+34048,34048,Is Regression a classifier
+34049,34049,Is logistic regression a linear classification model
+34050,34050,How is logistic regression used as a classifier
+34051,34051,What is the use of wavelet transform in image processing
+34052,34052,Why DWT is used in image processing
+34053,34053,What is discrete wavelet transform in image processing
+34054,34054,What is X bar in linear regression
+34055,34055,How do you find X in least squares regression line
+34056,34056,What is the regression line of X on Y
+34057,34057,What are examples of asynchronous learning
+34058,34058,Which of the following is asynchronous learning tool
+34059,34059,What does synchronous learning mean
+34060,34060,What is synchronous and asynchronous learning
+34061,34061,Which is an example for synchronous learning
+34062,34062,What does synchronous mean
+34063,34063,What are the types of Nonprobability sampling
+34064,34064,What is a probability sampling method
+34065,34065,What is the best type of probability sampling
+34066,34066,What is a hit in signal detection theory
+34067,34067,How do you report regression in SPSS
+34068,34068,How do you do a Poisson regression model
+34069,34069,What are the source of uncertainty
+34070,34070,What factors might contribute to the uncertainty of a measurement
+34071,34071,How is measurement uncertainty defined
+34072,34072,How do you calculate uncertainty in addition
+34073,34073,How uncertainties combine when variables are added
+34074,34074,Is normal distribution independent
+34075,34075,Can validation accuracy be higher than training accuracy
+34076,34076,What's the difference between machine learning and statistics
+34077,34077,Is machine learning a regression
+34078,34078,Are neural networks regression
+34079,34079,What does P value of 0.001 mean
+34080,34080,Why is entropy so important
+34081,34081,What is the application of gamma distribution
+34082,34082,What is a random variable explain with an example
+34083,34083,What does logistic growth mean
+34084,34084,What exactly is regression
+34085,34085,What is linear regression in deep learning
+34086,34086,Is linear regression machine learning
+34087,34087,Is linear regression a neural network
+34088,34088,Is P value and alpha the same
+34089,34089,What does an alpha of 0.05 mean
+34090,34090,Does sample size affect sample mean
+34091,34091,How does sample size affect expected value
+34092,34092,What does outgroup mean in sociology
+34093,34093,What's an ingroup and outgroup
+34094,34094,What is a logit in TensorFlow
+34095,34095,How do you create a decision tree model
+34096,34096,How do you create a decision tree in machine learning
+34097,34097,What is the approach of basic algorithm for decision tree induction
+34098,34098,Is R Squared correlation squared
+34099,34099,What does an R squared value mean
+34100,34100,What is the difference between R and R2 R squared
+34101,34101,Is r2 a correlation coefficient
+34102,34102,What is a good r squared
+34103,34103,What is the formula used to determine the proportion of something in a sample population
+34104,34104,What is the sample proportion of successes
+34105,34105,How do you find the confidence interval for a sample proportion
+34106,34106,Will the confidence interval contain the sample proportion
+34107,34107,How do you estimate the sample proportion
+34108,34108,How do you find the proportion of a distribution
+34109,34109,What is the difference between reliability and robustness attribute
+34110,34110,How do you check if a distribution is Gaussian
+34111,34111,What are the properties of Gaussian distribution
+34112,34112,How do you interpret skewness and kurtosis values
+34113,34113,What is acceptable skewness and kurtosis
+34114,34114,What is difference between big data and data analytics
+34115,34115,What is big data and its types
+34116,34116,What type of data is big data
+34117,34117,How many types of big data are there
+34118,34118,What is an example of bottleneck
+34119,34119,What is another word for bottleneck
+34120,34120,How do you use bottleneck in a sentence
+34121,34121,What is the main difference between paired and independent samples
+34122,34122,What is a paired sample test
+34123,34123,Does margin of error account for sampling error
+34124,34124,Is sampling error and standard error the same
+34125,34125,What does a sampling error mean
+34126,34126,What is the difference between sampling and nonsampling error
+34127,34127,Is a measure of sampling error
+34128,34128,How do you calculate margin of error from standard error
+34129,34129,What is standard error and margin of error
+34130,34130,What is a good binary cross entropy loss
+34131,34131,How does increasing sample size affect power
+34132,34132,Does effect size increase with sample size
+34133,34133,What is the purpose of knowledge based system
+34134,34134,What does the U in probability mean
+34135,34135,What does AUB mean in statistics
+34136,34136,What does N stand for in probability
+34137,34137,What does the symbol n represent
+34138,34138,What are the symbols in probability
+34139,34139,How is Bigram calculated
+34140,34140,What is Bigram model
+34141,34141,How do you find the difference in proportions
+34142,34142,What is the point estimate for the difference between the proportions
+34143,34143,How do you interpret proportions
+34144,34144,What is a two sample proportion test
+34145,34145,What is considered an inferential statistic
+34146,34146,What is grid search CV in machine learning
+34147,34147,What does R Squared mean in multiple regression
+34148,34148,How do you calculate R Squared in multiple linear regression
+34149,34149,What happens when we introduce more variables to a linear regression model r squared
+34150,34150,Is it better to use adjusted R squared in multiple linear regression
+34151,34151,Does correlation change if units change
+34152,34152,What happens when you switch explanatory and response variables
+34153,34153,How would the correlation change
+34154,34154,What is the difference between data processing data preprocessing and data wrangling
+34155,34155,Which of the following might be valid reason for preparing and SVM over neural network
+34156,34156,How do you perform object detection
+34157,34157,What is prediction bias
+34158,34158,What does bin mean
+34159,34159,What is a statistical moment
+34160,34160,What kind of data do correlations typically use
+34161,34161,What is correlation data analysis
+34162,34162,What type of data do you need for a Pearson correlation test
+34163,34163,Can you do a correlation with ordinal data
+34164,34164,Which correlation is used when there are two ordinal variables
+34165,34165,Which correlation is suitable for quantitative and ordinal variable
+34166,34166,What is the use of correlation coefficient
+34167,34167,What does the correlation coefficient r tell us
+34168,34168,Is MongoDB good for large data
+34169,34169,Is MongoDB big data product
+34170,34170,How does MongoDB store big data
+34171,34171,What is an example of an independent sample
+34172,34172,Which attributes of a sampling distribution are predicted by the Central Limit Theorem
+34173,34173,What are the applications of ML
+34174,34174,What is the difference between Fourier transform and discrete Fourier transform
+34175,34175,What is meant by discrete Fourier transform
+34176,34176,What is B in binary logistic regression
+34177,34177,What does SE B represent
+34178,34178,What does B mean in SPSS
+34179,34179,What does beta mean in logistic regression
+34180,34180,What is beta value in regression
+34181,34181,What is b1 in logistic regression
+34182,34182,What is the goal of artificial intelligence
+34183,34183,What are main features of artificial intelligence
+34184,34184,Why do we use log functions
+34185,34185,How do log functions work
+34186,34186,What is the definition of a logarithmic function
+34187,34187,Why do data need to be normally distributed when conducting an Anova
+34188,34188,What is normality assumption in Anova
+34189,34189,What is the probability density function of thermal noise
+34190,34190,Why Awgn is used in communication
+34191,34191,Is Likert scale ordinal data
+34192,34192,How do you calculate a permutation
+34193,34193,What is mean Centring
+34194,34194,What are centered variables
+34195,34195,What does centering mean in statistics
+34196,34196,Is data science all about statistics
+34197,34197,How are data and statistics related
+34198,34198,Do I need to know statistics for data science
+34199,34199,Does variance mean range
+34200,34200,Can variance and mean be negative
+34201,34201,Does a higher standard deviation mean more variation
+34202,34202,Does a Turing machine exist
+34203,34203,Which is better VUE or react or angular
+34204,34204,Is Vue better than angular
+34205,34205,Which is better VUE or react
+34206,34206,How do you interpret binomial expansion
+34207,34207,What does binomial expansion mean
+34208,34208,How do you write binomial expansion
+34209,34209,What do you mean by binomial explain with example
+34210,34210,What is the binomial theorem used for in real life
+34211,34211,Why is binomial expansion useful
+34212,34212,How do you use the binomial expansion formula
+34213,34213,How do you expand a product of two binomials
+34214,34214,Where are feature detectors found
+34215,34215,Where are feature detectors located
+34216,34216,Are feature detectors located in the occipital lobe
+34217,34217,How do you find the threshold value of an image in Opencv
+34218,34218,How do you find the threshold value of an image in Matlab
+34219,34219,Which test can be used to compare the two means
+34220,34220,What are the commonalities and differences between two sample t test and Anova
+34221,34221,What are groups in Anova
+34222,34222,What is one way Anova in statistics
+34223,34223,How do you interpret one way Anova
+34224,34224,What does it mean for two numerical variables to be associated
+34225,34225,What causes a false positive
+34226,34226,Who would suffer from a false positive result Why
+34227,34227,What is false positive example
+34228,34228,What is inter and extrapolation
+34229,34229,What do you mean by squashed
+34230,34230,What is squashing commits in git
+34231,34231,What are synonyms for squashed
+34232,34232,Is Tanh an activation function
+34233,34233,Are decision trees Parametric
+34234,34234,How do you create a multiple regression equation
+34235,34235,What does Alpha tell you in statistics
+34236,34236,What is the difference between alpha level and P value
+34237,34237,What is an alpha value
+34238,34238,What is the alpha level in stats
+34239,34239,What is entropy in neural network
+34240,34240,What is cross entropy in machine learning
+34241,34241,What is dataset in image processing
+34242,34242,What are different types of DataSets
+34243,34243,Why do we use back propagation
+34244,34244,How do you calculate standard error in regression
+34245,34245,What is standard error of estimate in multiple regression
+34246,34246,What is the standard error in linear regression
+34247,34247,How do you find the error in a linear regression
+34248,34248,How do you find standard error on TI 84
+34249,34249,What is a comparison distribution
+34250,34250,How do you know if a transformation is linear
+34251,34251,What is linear transformation in matrix
+34252,34252,What does linear transformation mean
+34253,34253,Is random forest the same as decision tree
+34254,34254,What is knowledge and its types in artificial intelligence
+34255,34255,How do we represent facts and knowledge in AI
+34256,34256,What is knowledge based agent in AI
+34257,34257,What is knowledge AI
+34258,34258,What are threats to statistical conclusion validity
+34259,34259,What does hashing it out mean
+34260,34260,What is convolution sum in signal and system
+34261,34261,What is convolution sum DSP
+34262,34262,How do you calculate convolution
+34263,34263,How do you find the convolution sum of two sequences
+34264,34264,How many agents are there in AI
+34265,34265,How deep learning models are built on keras
+34266,34266,How do you train to be a deep model
+34267,34267,What type of activation function is used in artificial neural network
+34268,34268,What is train accuracy
+34269,34269,What is difference between testing and training
+34270,34270,How can you test the accuracy of data
+34271,34271,What is the smallest significance level at which you would reject the null hypothesis
+34272,34272,Why reject null hypothesis when p value is small
+34273,34273,When P value is less than alpha
+34274,34274,Do you reject or fail to reject Upper H 0 at the 0.01 level of significance
+34275,34275,What is an alpha value in statistics
+34276,34276,What is the objective of clustering
+34277,34277,What is the point of cluster analysis
+34278,34278,What is difference between class and object with example
+34279,34279,What is the difference between an object and a class in the object oriented data model ODM
+34280,34280,How do you normalize statistics
+34281,34281,Should I normalize test data
+34282,34282,What does it mean to normalize your data
+34283,34283,How do you normalize training data
+34284,34284,How do you know which derivative rule to use
+34285,34285,What is the need of confidence measure in association rule mining
+34286,34286,How do you calculate support and confidence in Apriori algorithm
+34287,34287,Do I need GPU for deep learning
+34288,34288,Which GPU is good for deep learning
+34289,34289,What are the components of deep learning
+34290,34290,What is the difference between correlation and beta
+34291,34291,Is beta the same as coefficient
+34292,34292,What is beta How is it interpreted
+34293,34293,What does the beta value mean in regression
+34294,34294,What does a negative beta value mean in regression
+34295,34295,What does a beta weight mean
+34296,34296,How do you test parametric data
+34297,34297,Why do we normalize distribution
+34298,34298,Does normalization change distribution
+34299,34299,How do you Normalise a function
+34300,34300,How do you normalize data in normal distribution
+34301,34301,What is Type II error in hypothesis testing
+34302,34302,How can I recognize faces
+34303,34303,What does cumulative density function mean
+34304,34304,What is Univariate statistical test
+34305,34305,Is Random Forest a bagging algorithm
+34306,34306,What type of model is random forest
+34307,34307,Is Random Forest a classifier
+34308,34308,How do you find the critical value on a TI 84 Hypothesis test
+34309,34309,What is testing in AI
+34310,34310,How can I access artificial intelligence
+34311,34311,Which statement is represented by P Q
+34312,34312,How does Decision Trees handle missing values
+34313,34313,How are missing values handled in data mining
+34314,34314,What does it mean if a correlation is 0
+34315,34315,What is the coefficient of 0
+34316,34316,What does an R value of 0 mean
+34317,34317,What happens when R 0
+34318,34318,What does correlation look like
+34319,34319,When the correlation coefficient is 0 the two regression lines are
+34320,34320,What does b0 mean in regression
+34321,34321,What are the two lines of regression
+34322,34322,When the two regression lines coincide the value of R is
+34323,34323,What is the formula for calculating correlation coefficient
+34324,34324,How do convolutional networks work
+34325,34325,What is temporal convolutional network
+34326,34326,What is the spectral norm
+34327,34327,What is Frobenius Norm used for
+34328,34328,Is Frobenius Norm Submultiplicative
+34329,34329,What is spectral radius of a matrix
+34330,34330,How do you find the magnitude of a 3x3 matrix
+34331,34331,What is magnitude in linear algebra
+34332,34332,How do you find the magnitude of a column vector
+34333,34333,What is matrix formula
+34334,34334,What is model evaluation metrics
+34335,34335,What is the notation for variance
+34336,34336,What is the correct notation for population parameter
+34337,34337,What is Q hat in statistics
+34338,34338,How do you know if data is normally distributed
+34339,34339,What makes something a normal distribution
+34340,34340,Is Wilcoxon a non parametric test
+34341,34341,Why is Wilcoxon signed rank test used
+34342,34342,What are the 4 steps in a root cause analysis
+34343,34343,How do you read Anderson Darling normality test
+34344,34344,What is p value in Anderson Darling test
+34345,34345,How do you Analyse a normality test
+34346,34346,What should the P value be for a normal distribution
+34347,34347,How is Anderson Darling P value calculated
+34348,34348,When you do an Anderson Darling test of normality How do you know if the data are normally distributed
+34349,34349,What is a normal distribution p value
+34350,34350,How does linear regression determine line of best fit
+34351,34351,How do you interpret Poisson coefficients
+34352,34352,Can SPSS be used on Mac
+34353,34353,Where can I find SPSS on Mac
+34354,34354,What platforms are supported by TensorFlow Lite check all that apply
+34355,34355,How does a neuron work
+34356,34356,How does a nerve cell work
+34357,34357,How does the neuron work
+34358,34358,How does nerve cell work
+34359,34359,How do neurons work in the brain
+34360,34360,What triggers a neuron
+34361,34361,What is the process of a neuron firing
+34362,34362,What activates the neuron threshold
+34363,34363,What does the sample variance mean
+34364,34364,How do you find the variance of differences
+34365,34365,How do you find the standard deviation of the difference between two means
+34366,34366,What type of model is logistic regression
+34367,34367,How are distribution important in any statistical study
+34368,34368,What is meant by the variation of a distribution
+34369,34369,What are the measures of variation and why are they important
+34370,34370,What is the significance of variance in statistics
+34371,34371,How do you get true randomness
+34372,34372,What is the purpose of finding the discriminant
+34373,34373,What is the discriminant and how do you compute it
+34374,34374,How do you convert rates into dimensional analysis
+34375,34375,How do you do multi step dimensional analysis
+34376,34376,What is iterative and recursive
+34377,34377,Is recursive the same as iterative
+34378,34378,What is better iterative or recursive
+34379,34379,What does the order of a matrix mean
+34380,34380,Why do we find rank of a matrix
+34381,34381,What does it mean when a matrix 0
+34382,34382,What are the parameters in training a decision tree
+34383,34383,What is the difference between unigram and bigram
+34384,34384,How do you find the sample standard deviation
+34385,34385,What is the formula for sample variance in Excel
+34386,34386,How do you find standard deviation and variance on a TI 84
+34387,34387,How do you find sample standard deviation on TI 84
+34388,34388,How do you find sample variance in Excel
+34389,34389,What is variance formula in Excel
+34390,34390,How do you find the variance on a spreadsheet
+34391,34391,How does standardizing a variable affect the shape center and spread of its distribution
+34392,34392,When we standardize using z scores the shape of the distribution does not change
+34393,34393,Does standardization change distribution
+34394,34394,What is the distribution of z scores
+34395,34395,How do you interpret a decision tree in R
+34396,34396,How do you code a decision tree in R
+34397,34397,What is decision tree in R
+34398,34398,How do you calculate survival rate of disease
+34399,34399,What are type I and type II errors in hypothesis testing
+34400,34400,What do you mean by Type 1 and Type 2 error
+34401,34401,What do you mean by Type I error
+34402,34402,Can root mean square error be negative
+34403,34403,What is the z score for 96 confidence interval
+34404,34404,What is the z score for 95 percent confidence interval
+34405,34405,What does a negative entropy mean
+34406,34406,What is positive and negative entropy
+34407,34407,Can you have negative entropy
+34408,34408,When can you use a linear model
+34409,34409,What is a good r2 score
+34410,34410,When events A and B are said to be independent What does that mean quizlet
+34411,34411,When two events A and B are independent the probability of both occurring is
+34412,34412,What is standardization in machine learning
+34413,34413,What is the difference between a data scientist and a statistician
+34414,34414,What is the difference between data and statistics
+34415,34415,How is ReLU differentiable
+34416,34416,What is the derivative of the ReLU function ReLU z )= max 0 Z for Z 0
+34417,34417,What does an interaction effect mean in a two way Anova
+34418,34418,What is an interaction effect in an Anova
+34419,34419,What is IIR filter and FIR filter
+34420,34420,What makes a filter IIR
+34421,34421,What is IIR low pass filter
+34422,34422,What is normal cumulative distribution function
+34423,34423,What is the meaning of cumulative distribution function
+34424,34424,How do you do cumulative distribution function
+34425,34425,How do you find relative frequency percentage
+34426,34426,Is relative frequency a percentage
+34427,34427,How do you calculate frequency in statistics
+34428,34428,What does the R 2 value mean in statistics
+34429,34429,Is Labelled data required for unsupervised learning
+34430,34430,Which of the following machine learning algorithms is provided with input as well as output pairs during the learning phase
+34431,34431,Is Kruskal Wallis nonparametric
+34432,34432,What is local features of an image
+34433,34433,What is global features in image processing
+34434,34434,What are the features of image
+34435,34435,What is high level image processing
+34436,34436,What are global features of an image
+34437,34437,What is meant by the neural correlates of consciousness
+34438,34438,What is a neural correlate of consciousness Chalmers
+34439,34439,What is true for neural networks
+34440,34440,How neural networks are trained
+34441,34441,What type of data is a box plot used for
+34442,34442,Can box plot be used for continuous data
+34443,34443,Is Box plot a good choice for presenting a categorical variable
+34444,34444,How do you know if a Boxplot has a larger standard deviation
+34445,34445,What data does a box plot show
+34446,34446,Does Boxplot show variance
+34447,34447,What are Bloom filters used for
+34448,34448,Which are common application of deep learning in AI
+34449,34449,Which one comes under deep learning
+34450,34450,Which of the following is disadvantage of decision tree
+34451,34451,Is decision tree a classification
+34452,34452,Are decision trees linear classifiers
+34453,34453,How do you calculate hashCode of a string
+34454,34454,How is hash value calculated
+34455,34455,How do hash values work
+34456,34456,How do you know if a correlation is linear
+34457,34457,How do you know if a scatter plot is linear
+34458,34458,What is a linear model for a scatter plot
+34459,34459,How do you tell if a linear model is appropriate for a residual plot
+34460,34460,What is the difference between explanatory and exploratory
+34461,34461,What is explanatory analysis
+34462,34462,What does exploratory analysis mean
+34463,34463,Is percentile a measure of location
+34464,34464,What does location mean in statistics
+34465,34465,What does it mean to find the distribution
+34466,34466,What does anomaly detected mean
+34467,34467,How do you find the variance of a joint distribution
+34468,34468,What does multiple correlation coefficient mean
+34469,34469,Why is time a independent variable
+34470,34470,What type of variable is time
+34471,34471,Is Iqr the same as range
+34472,34472,How does Word2vec algorithm work
+34473,34473,What is the variance of return
+34474,34474,How do you calculate expected return
+34475,34475,How do you calculate expected return and variance
+34476,34476,How do you calculate portfolio variance return
+34477,34477,How is return variance calculated
+34478,34478,Is variance good or bad
+34479,34479,What is variance in stock
+34480,34480,Why is 2SLS biased
+34481,34481,What is instrumental variable regression
+34482,34482,How do you report the results of descriptive statistics
+34483,34483,How do you write a statistical analysis report
+34484,34484,Is random forest gradient boosting
+34485,34485,Do decision trees use gradient descent
+34486,34486,What is another name for a factorial Anova
+34487,34487,Which statistical technique is most similar to Manova
+34488,34488,Does IID mean normal distribution
+34489,34489,What is feature value
+34490,34490,What is the difference between feature class and feature dataset
+34491,34491,How is AIC BIC calculated
+34492,34492,What is SBC in statistics
+34493,34493,What does AIC mean in logistic regression
+34494,34494,What is AIC and BIC in logistic regression
+34495,34495,Where clustering techniques are used
+34496,34496,What is normalization in CNN
+34497,34497,What is DCT compression
+34498,34498,Why DCT is used in image compression
+34499,34499,What is DCT and JPEG compression
+34500,34500,Is there a real world in the Matrix
+34501,34501,Is the matrix inside another Matrix
+34502,34502,Is the Matrix a simulation
+34503,34503,Did the humans win in the Matrix
+34504,34504,How does alpha level relate to probability
+34505,34505,How do you find the alpha value
+34506,34506,Is Alpha the same as P value
+34507,34507,What is P value and Alpha
+34508,34508,How do you implement naive Bayes
+34509,34509,How does naive Bayes algorithm work example
+34510,34510,How can I improve my naive Bayes performance
+34511,34511,Is naive Bayes classification a parametric method of classification
+34512,34512,Why do we use naive Bayes classifier
+34513,34513,Why is naive Bayes bad
+34514,34514,What is tag optimization
+34515,34515,What is performance matrix in machine learning
+34516,34516,What is classification score
+34517,34517,How do you measure AI performance
+34518,34518,What is shallow learning
+34519,34519,What is deep learning as opposed to shallow or short term learning
+34520,34520,What is latent in machine learning
+34521,34521,How does Standard Deviation relate to normal distribution
+34522,34522,What does the standard deviation do to a normal curve
+34523,34523,How do you draw a normal distribution curve with mean and standard deviation
+34524,34524,Is the normal distribution curve symmetric about the standard deviation
+34525,34525,What is H0 and H1 in statistics
+34526,34526,What is ho and ha hypothesis
+34527,34527,Is null hypothesis H0
+34528,34528,What is regression mean
+34529,34529,How do you characterize a distribution
+34530,34530,How do you explain distribution in statistics
+34531,34531,What is an example of distribute
+34532,34532,How do you do simple random sampling
+34533,34533,Where is simple random sampling used
+34534,34534,How do you read a correlation matrix in python
+34535,34535,What is a matrix error
+34536,34536,What is classification error matrix
+34537,34537,Can you convert ordinal data into interval data
+34538,34538,Is Likert data ordinal or interval
+34539,34539,Can interval and ratio data be treated as nominal or ordinal data
+34540,34540,Can Mean be used for interval data
+34541,34541,Does negative correlation mean negative covariance
+34542,34542,What is the difference between a scatter plot and a residual plot
+34543,34543,What are the advantages of independent learning
+34544,34544,How do you encourage autonomous learning
+34545,34545,How can autonomous learning help students become better learners
+34546,34546,What are offline classes
+34547,34547,What is batch size and epoch
+34548,34548,What is a neural network epoch
+34549,34549,What do you mean by epochs while training a neural network
+34550,34550,What is sample design with example
+34551,34551,What are the types of kernels
+34552,34552,What are the different types of kernel
+34553,34553,What's the difference between logit and probit
+34554,34554,What is probability density statistics
+34555,34555,What Makes a probability density function
+34556,34556,What are supervised machine learning techniques
+34557,34557,What is supervised classification in machine learning
+34558,34558,How do you work out sensitivity and specificity
+34559,34559,When the distribution is positively skewed mean median mode
+34560,34560,How many scores are within 1 standard deviation of the mean
+34561,34561,Why is the mean 0 and the standard deviation 1 in a standard normal distribution
+34562,34562,What does it mean to be 1 standard deviation away from the mean
+34563,34563,What is multitasking explain with example
+34564,34564,How would you describe your ability to multitask
+34565,34565,What is considered multitasking
+34566,34566,How would you describe multitasking skills
+34567,34567,How do you answer how do you multitask
+34568,34568,How do you evaluate a model in machine learning
+34569,34569,What is model evaluation used for
+34570,34570,What are machine learning approaches
+34571,34571,Is binomial distribution a continuous distribution
+34572,34572,Is binomial distribution positively skewed
+34573,34573,What type of distribution is Poisson
+34574,34574,Is Poisson a continuous distribution
+34575,34575,How many degrees of freedom does the F statistic have
+34576,34576,How many degrees of freedom are required to check for the significance of the f value for a main effect
+34577,34577,What is the degrees of freedom for a two sample t test
+34578,34578,What are the degrees of freedom for an independent t test
+34579,34579,What is scale in histogram
+34580,34580,How do you calculate forecast bias
+34581,34581,How do you calculate forecast accuracy
+34582,34582,What is forecast accuracy bias
+34583,34583,What does bias mean in forecasting
+34584,34584,What is MAPE and bias in forecasting
+34585,34585,How do you analyze forecast accuracy
+34586,34586,What is the difference between the mad and forecast bias
+34587,34587,How do you graph a uniform distribution
+34588,34588,What are the applications of the probability under the normal curve
+34589,34589,What is the purpose of the standard normal distribution table
+34590,34590,What is the null hypothesis being tested
+34591,34591,What is the null hypothesis for a two sample t test
+34592,34592,Why do you reject the null hypothesis
+34593,34593,How do you reject the null hypothesis example
+34594,34594,How do you convert binomial to normal
+34595,34595,What is a sample percentage
+34596,34596,Why is it important to study algorithm complexity
+34597,34597,What does algorithmic bias mean
+34598,34598,What is a bias in AI
+34599,34599,What is nonstandard normal distribution
+34600,34600,How can you transform a non standard normal distribution to a standard normal distribution
+34601,34601,What is the difference between a normal distribution and other symmetrical distributions
+34602,34602,What is normal distribution and how is it formed
+34603,34603,What is cross validation in decision tree
+34604,34604,What are the benefits of non standard units of measurement
+34605,34605,What is meant by standard unit
+34606,34606,What is classification analysis in data mining
+34607,34607,What are the components of NLP in AI
+34608,34608,What is meant by joint probability
+34609,34609,Is joint probability independent
+34610,34610,What does the U and upside down U mean in statistics
+34611,34611,What does the U sign mean in statistics
+34612,34612,What topics might make up the hidden curriculum
+34613,34613,What can students learn from the hidden curriculum
+34614,34614,Why is the hidden curriculum important
+34615,34615,What are the disadvantages of curriculum
+34616,34616,How does hidden curriculum affect students
+34617,34617,What are some examples of hidden curriculum
+34618,34618,How does hidden curriculum promote inequality
+34619,34619,What is hidden implicit curriculum
+34620,34620,What is hidden curriculum in education
+34621,34621,What is hidden curriculum example
+34622,34622,Why we use convolutional neural network
+34623,34623,What effect does increasing the sample size have on the sample mean
+34624,34624,What happens to power when sample size increases
+34625,34625,What does coefficient mean in logistic regression
+34626,34626,What is regression coefficient
+34627,34627,What is a logit coefficient
+34628,34628,What does a negative beta mean in regression
+34629,34629,What does a negative coefficient mean in regression
+34630,34630,How do I save a model in TensorFlow
+34631,34631,What is quantization theory
+34632,34632,What is quantization in machine learning
+34633,34633,How do you quantize keras model
+34634,34634,What is quantization in AI
+34635,34635,What is weight quantization
+34636,34636,What is the difference between a factor and a covariate
+34637,34637,What test specificity means
+34638,34638,What is blended learning PDF
+34639,34639,What are the different types of blended learning
+34640,34640,What is a difference between the T distribution and the standard normal distribution
+34641,34641,How do I start deep learning
+34642,34642,How do you calculate beta diversity
+34643,34643,What does beta diversity mean
+34644,34644,How is alpha diversity calculated
+34645,34645,Which is better naive Bayes vs Decision Tree
+34646,34646,Is Knn a decision tree
+34647,34647,How do you conduct a test of independence
+34648,34648,How do you determine statistical independence
+34649,34649,Can the alternating series test prove divergence
+34650,34650,When can you use the test for divergence
+34651,34651,What are the conditions of the alternating series test
+34652,34652,What is histogram in image processing
+34653,34653,What is the difference between contrast stretching and histogram equalization
+34654,34654,What is a decision tree classification model
+34655,34655,Is Random Forest linear or nonlinear
+34656,34656,Is decision tree a data structure
+34657,34657,How do you normalize inputs in neural networks
+34658,34658,How do you normalize data
+34659,34659,What is time series in data science
+34660,34660,How do you deal with time series data
+34661,34661,How do you convert a time series to a supervised learning problem
+34662,34662,What is the use of learning rate
+34663,34663,Where AI is used today
+34664,34664,What is data skewness
+34665,34665,What is meant by skewed data
+34666,34666,Why do we use message queue
+34667,34667,What is MQ used for
+34668,34668,What is Time Series Analysis in Econometrics
+34669,34669,How do you find interquartile mean
+34670,34670,What is interquartile deviation
+34671,34671,What is the difference between J shaped and an S shaped population growth curve
+34672,34672,What does S shaped curve indicate
+34673,34673,What is a J shaped curve called
+34674,34674,What does J shaped relationship mean
+34675,34675,What is adversarial perturbation
+34676,34676,What is Goldilocks rule of AI
+34677,34677,What is adversarial threat
+34678,34678,What is adversarial reinforcement learning
+34679,34679,How do you calculate probabilities
+34680,34680,What is the lexical definition of frequency
+34681,34681,What is frequency of use
+34682,34682,What is the meaning of frequency range
+34683,34683,Where data structure is used in real life
+34684,34684,What are the uses of data structure
+34685,34685,What is data structure and why we use it
+34686,34686,What is probability and statistics
+34687,34687,What grade level is statistics
+34688,34688,What grade is probability and statistics
+34689,34689,What kind of class is statistics
+34690,34690,How do you know when to use a geometric distribution
+34691,34691,What does geometric random variable mean
+34692,34692,What is a geometric random variable and what are its possible values
+34693,34693,What is multimodal writing
+34694,34694,What are the types of modes
+34695,34695,What are different data preprocessing techniques
+34696,34696,What is the difference between correlation and cause
+34697,34697,Can we do logistic regression in Excel
+34698,34698,How do you calculate logistic regression in SPSS
+34699,34699,How do I interpret multiple regression in SPSS
+34700,34700,Why do we use relative frequency
+34701,34701,What is relative frequency approach
+34702,34702,What is the main difference between prescriptive and predictive analytics
+34703,34703,What is the range of sigmoid
+34704,34704,What are features in neural networks
+34705,34705,What can neural networks do
+34706,34706,What are the different neural networks
+34707,34707,Where can I use BFS and DFS
+34708,34708,How do you write BFS algorithm
+34709,34709,What are the applications of BFS
+34710,34710,How are confidence intervals and hypothesis tests related
+34711,34711,What is the confidence interval for a two sided test
+34712,34712,When can you use confidence intervals for hypothesis testing
+34713,34713,When would you use a confidence interval
+34714,34714,How does hypothesis testing differ from constructing confidence intervals in general read carefully
+34715,34715,What makes confidence intervals more informative than the results of standard hypothesis testing
+34716,34716,What additional information does a confidence interval provide
+34717,34717,What determines the shape of at distribution
+34718,34718,What is active reinforcement learning
+34719,34719,What is a proportionate stratified sample
+34720,34720,How do you calculate proportionate stratified random sampling
+34721,34721,How are association rules mined from large databases
+34722,34722,What is the use of reinforcement learning
+34723,34723,What are the uses of Student t distribution
+34724,34724,What are the advantages of using Z scores
+34725,34725,What are the properties of the normal probability distribution
+34726,34726,How do you find the frequency IDF cosine similarity
+34727,34727,How is the membership function value known in fuzzy logic
+34728,34728,What is Defuzzification with example
+34729,34729,What is Gaussian membership function
+34730,34730,What is fuzzy membership function
+34731,34731,How is membership function determined in fuzzy
+34732,34732,What is Fuzzification with example
+34733,34733,What is meaning of probability density function
+34734,34734,What is the difference between density function and distribution function
+34735,34735,What does control variable mean in regression
+34736,34736,How do you control variables in SPSS
+34737,34737,What is the area under the curve of the Z distribution
+34738,34738,What is the area under the normal curve to the left of Z
+34739,34739,How do you find the area that lies between two z scores
+34740,34740,What is the area between the mean and the Z score
+34741,34741,How do you find the area under the Z score
+34742,34742,What is the area under the normal curve
+34743,34743,What is the area under the standard normal distribution
+34744,34744,How do you find the area under the standard normal curve to the left of Z
+34745,34745,How can you define the area under the normal curve
+34746,34746,How do you find the area between two z scores in Excel
+34747,34747,How do you find the probability of a random sample
+34748,34748,Why is stratified sampling better than quota
+34749,34749,How do you increase image classification accuracy
+34750,34750,Where can I practice algorithms
+34751,34751,What is null hypothesis in research with example
+34752,34752,What is difference between acquisition and learning
+34753,34753,What is the difference language acquisition and language learning
+34754,34754,What is the difference between acquisition and fluency
+34755,34755,How many survey responses do I need for statistical significance
+34756,34756,What survey response rate is acceptable
+34757,34757,How many samples do I need for statistical significance
+34758,34758,How many survey responses are statistically significant
+34759,34759,How do you find the derivative of fxy
+34760,34760,How do you differentiate variables
+34761,34761,Is fxy the same as Fyx
+34762,34762,What is the derivative of a coefficient
+34763,34763,What is the derivative of f/x y
+34764,34764,What does fxy mean
+34765,34765,What is difference between standard error and standard deviation
+34766,34766,Should I use standard deviation or standard error
+34767,34767,When should I use standard deviation
+34768,34768,Are standard error and standard error of the mean the same
+34769,34769,How do you find the center of a sampling distribution
+34770,34770,What is the center of the sampling distribution
+34771,34771,Are sampling distributions centered over the true population parameter
+34772,34772,What is a randomization distribution
+34773,34773,What is a bootstrap distribution
+34774,34774,What is a uniform random variable
+34775,34775,What do you mean by random number
+34776,34776,What does NP random random do
+34777,34777,What does the mean of a probability distribution represent
+34778,34778,How do you find the mean of a probability distribution function
+34779,34779,Which statement is a null hypothesis
+34780,34780,What is a null hypothesis quizlet
+34781,34781,What are scenarios which have higher training accuracy and low test accuracy
+34782,34782,How can you improve the accuracy of a test set
+34783,34783,What are the assumptions of multiple linear regression
+34784,34784,What are the assumptions of classical linear regression model
+34785,34785,What are neural networks and what is their role in cognition
+34786,34786,What is K mean in texting
+34787,34787,Can you find the mean or median of a set of data from a histogram
+34788,34788,How do you find the median of a histogram GCSE
+34789,34789,What is the median of a histogram
+34790,34790,What is a mean vs median
+34791,34791,What are the possible outcomes of rolling a six sided dice
+34792,34792,How do you calculate possible outcomes
+34793,34793,What is the probability to get 6 when a dice is rolled
+34794,34794,What happens when variance increases
+34795,34795,How do SVM handle the case of non linearly separable data
+34796,34796,How can we classification a non linearly separable
+34797,34797,What is an agent function in AI
+34798,34798,Whats the meaning of fuzzy
+34799,34799,What does L2 Norm do
+34800,34800,What is L2 norm regularization
+34801,34801,What is L1 norm of a vector
+34802,34802,What is the norm of a vector
+34803,34803,What gamma tells us
+34804,34804,How do you read Lambda
+34805,34805,How do you find the relationship between two nominal variables
+34806,34806,What is K in a logistic differential equation
+34807,34807,How do you calculate K in logistics
+34808,34808,What happened to AlphaGo
+34809,34809,What is systematic sampling PDF
+34810,34810,Should we use MSE or MAE to measure error
+34811,34811,Why do we use activation function
+34812,34812,What is a mixed Anova
+34813,34813,What does proportion mean in statistics
+34814,34814,What is proportion test in statistics
+34815,34815,How do you interpret proportions in statistics
+34816,34816,Can you use t distribution for proportions
+34817,34817,How do you perform a one sample z test
+34818,34818,What is inferential and descriptive statistics
+34819,34819,What is the primary focus of descriptive statistics
+34820,34820,What are the main descriptive statistics
+34821,34821,What is a locative classifier in ASL
+34822,34822,What are the classification techniques
+34823,34823,What are classification techniques in data mining
+34824,34824,What can Boxplot tell us
+34825,34825,How do you describe a Boxplot
+34826,34826,How does a box plot look
+34827,34827,For which sampling process is used
+34828,34828,What is a spectral plot
+34829,34829,What is frequency spectrum
+34830,34830,How do you calculate frequency from bandwidth
+34831,34831,Why is logistic regression called regression and not classification
+34832,34832,Is logistic regression a classification algorithm
+34833,34833,Why is ReLU nonlinear
+34834,34834,What is bias data collection
+34835,34835,How can you avoid bias in data collection
+34836,34836,What is the word entropy mean
+34837,34837,Why is entropy S
+34838,34838,What is the difference between enthalpy and entropy
+34839,34839,Which of the following is are the benefit of an ensemble model
+34840,34840,How reinforcement learning is different from machine learning
+34841,34841,Is reinforcement learning a subset of machine learning
+34842,34842,How do you find the percentage of a standard deviation
+34843,34843,What percentage is within one standard deviation
+34844,34844,How do you find the percentage of something using mean and standard deviation
+34845,34845,How do you find percentile with standard deviation
+34846,34846,Which of the following are potential problems with time series analysis
+34847,34847,What is the practical application of time series
+34848,34848,Is structural equation modeling qualitative
+34849,34849,What is the importance of eigenvalues and eigenvectors
+34850,34850,Is dimensional analysis a stoichiometry
+34851,34851,How do you assess conceptual understanding
+34852,34852,What does this symbol mean in statistics
+34853,34853,What does PI mean in probability
+34854,34854,How do you find pi in statistics
+34855,34855,What does the big pi sign mean
+34856,34856,What type of activation function is ReLU
+34857,34857,What is neural network Wikipedia
+34858,34858,What is the error term in linear regression
+34859,34859,What is training a data set
+34860,34860,What's the difference between a training set and a test set
+34861,34861,How do you find the range in statistics
+34862,34862,What is Bayes theorem in ML
+34863,34863,What is the gradient of a vector field
+34864,34864,What does the gradient vector tell us
+34865,34865,What does the gradient represent
+34866,34866,What do you mean by gradient of a scalar field
+34867,34867,How do you calculate a gradient
+34868,34868,Is gradient a vector or scalar
+34869,34869,Is gradient a row or column vector
+34870,34870,What are the uses of learning curve
+34871,34871,What are the limitations of learning curve
+34872,34872,What is learning curve percentage
+34873,34873,What is the difference between denying the antecedent and affirming the consequent
+34874,34874,How do you analyze a chi square test
+34875,34875,What type of data does chi square use
+34876,34876,How does machine learning deal with class imbalance
+34877,34877,What is exponential smoothing forecasting method
+34878,34878,What is Alpha in forecasting error calculation
+34879,34879,How do you calculate alpha beta and gamma in forecasting
+34880,34880,How do you find optimal alpha using solver
+34881,34881,What is level in exponential smoothing
+34882,34882,What is ground truth in image segmentation
+34883,34883,Is Knn a linear classifier
+34884,34884,What is agent explain different types of agent
+34885,34885,What is segmentation in data analysis
+34886,34886,How do you get alpha state of mind
+34887,34887,What is Alpha level of mind
+34888,34888,How do you get into alpha state
+34889,34889,What do alpha brain waves indicate
+34890,34890,How do you find the critical value in a chi square test
+34891,34891,What does a large value for the chi square statistic indicate
+34892,34892,What type of measure is standard deviation
+34893,34893,Why measure of central tendency and measure of dispersion are complementary to each other
+34894,34894,What is the significance of measure of dispersion if we already have measure of central tendency
+34895,34895,What measure of central tendency is standard deviation
+34896,34896,How do you know which measure of central tendency to use
+34897,34897,Does standard deviation use mean or median
+34898,34898,What are the different measures of central tendency
+34899,34899,What is the difference between measures of central tendency and variation
+34900,34900,What do you mean by measures of dispersion how they are different from measures of central tendency
+34901,34901,What are the differences between the measures of central tendency and the measures of dispersion
+34902,34902,How do you calculate mean square error accuracy
+34903,34903,What is the relationship between z score and probability
+34904,34904,How is Weka used in data mining
+34905,34905,How can we use classification machine learning algorithms in Weka
+34906,34906,What type of data is not normally distributed
+34907,34907,Is normality and assumption of linear regression
+34908,34908,What is normality in linear regression
+34909,34909,What are the benefits of random sampling over non random sampling
+34910,34910,What is a non linear scatter plot
+34911,34911,What type of association does the scatter plot show
+34912,34912,How is a scatter plot used to determine if two variable data shows no association
+34913,34913,What does a no correlation scatter plot look like
+34914,34914,How do you tell if there is a linear relationship on a scatter plot
+34915,34915,Does a scatter plot have to be linear
+34916,34916,What is learning rate in gradient descent
+34917,34917,Is standard deviation affected by skewed data
+34918,34918,Which measure of spread is best for skewed data
+34919,34919,What remains unaffected when data is skewed
+34920,34920,What can skew the mean
+34921,34921,What causes high standard deviation
+34922,34922,What makes standard deviation larger or smaller
+34923,34923,Does Range affect standard deviation
+34924,34924,How do you get keras model weights
+34925,34925,What are model weights
+34926,34926,How does multilingualism affect the brain
+34927,34927,How do you do moderation analysis
+34928,34928,How do you describe a moderating variable
+34929,34929,What does an interaction mean
+34930,34930,What is linear regression in simple words
+34931,34931,Is SVM a linear model
+34932,34932,How does inferencing work
+34933,34933,How do you write an inference
+34934,34934,How the Random Forest algorithm works in machine learning
+34935,34935,What is the difference between moving average and exponential moving average
+34936,34936,What's the difference between Ma and EMA
+34937,34937,Does Random Forests always performs better than decision trees
+34938,34938,Is the P value the same as the critical value
+34939,34939,What is the opposite of optimism bias
+34940,34940,What is difference between correlated subquery and nested subquery
+34941,34941,Which is an example of a correlated subquery
+34942,34942,Where is the mean and median
+34943,34943,Is mean a measure of location
+34944,34944,What is the relation between mean and median
+34945,34945,What is intra observer agreement
+34946,34946,What is the disadvantage of local search
+34947,34947,What are true about local search
+34948,34948,Is money a discrete variable
+34949,34949,Which is not a discrete variable
+34950,34950,Are salaries discrete or continuous data
+34951,34951,Is two way Anova parametric or nonparametric
+34952,34952,Is Anova a regression analysis
+34953,34953,What is local Optimisation
+34954,34954,What is global and local optima in an optimization problem
+34955,34955,What is local optima and global optimum
+34956,34956,How do I get local optimum
+34957,34957,What are some strategies to implement active learning
+34958,34958,How can you encourage students to be more active
+34959,34959,What are some active learning techniques
+34960,34960,What are some learning techniques
+34961,34961,How do you teach active learning
+34962,34962,How do you do multiple correlations on Excel
+34963,34963,How do you find correlation in R
+34964,34964,How do we calculate correlation
+34965,34965,What is the R value in correlation
+34966,34966,Is correlation equal to R
+34967,34967,How do you find the coefficient of multiple correlations
+34968,34968,What does the probability associated with a chi square value indicate about the results of a cross
+34969,34969,What does P 0.05 mean in Chi Square
+34970,34970,How do you interpret binomial probability
+34971,34971,What is a binomial probability experiment
+34972,34972,How do you use Anova
+34973,34973,What is the Anova procedure
+34974,34974,How do you find the critical value for a two tailed test
+34975,34975,How do you find the critical value of a test
+34976,34976,Why harmonic mean is calculated
+34977,34977,What is the product of probability
+34978,34978,What is the multiplication rule of probability
+34979,34979,Is ridge regression robust to outliers
+34980,34980,Is regression sensitive to outliers
+34981,34981,What is the difference between linear and logarithmic scale
+34982,34982,How do you interpret log scales
+34983,34983,What does logarithmic scale mean
+34984,34984,What does a logarithmic function look like
+34985,34985,What does it mean if something is logarithmic
+34986,34986,What are the limitations of descriptive research
+34987,34987,What is the purpose of descriptive analysis
+34988,34988,How do you summarize data using descriptive statistics
+34989,34989,How do you describe summary statistics
+34990,34990,How do you summarize Statistical results
+34991,34991,What is action in communication
+34992,34992,What are the two models of communication
+34993,34993,What are algorithms in machine learning
+34994,34994,How do you overcome bias in decision making
+34995,34995,How do biases affect decision making
+34996,34996,How do you find the standard deviation of a comparison distribution
+34997,34997,How do you find the standard deviation of the sample means
+34998,34998,What is the standard deviation of the sampling distribution of sample means
+34999,34999,What is the advantage of regression analysis compared to high low method
+35000,35000,Is AI a technology
+35001,35001,What are examples of AI technology
+35002,35002,Where is AI being used right now
+35003,35003,Which test is used to compare the mean of two populations
+35004,35004,How do you know if two samples are independent
+35005,35005,What is the null hypothesis for t test
+35006,35006,What does the null hypothesis say about the difference between two sample means
+35007,35007,What is a two sample z test used for
+35008,35008,What are the conditions for a two sample z test
+35009,35009,What is PI controller used for
+35010,35010,What is the difference between PLC and PID
+35011,35011,What is P type controller
+35012,35012,What is PID controller with example
+35013,35013,Why do we use PI controller
+35014,35014,How PID controller is implemented in Arduino
+35015,35015,What is degree in polynomial regression
+35016,35016,What is second order polynomial regression
+35017,35017,What is time series forecasting models
+35018,35018,How do you describe categorical data
+35019,35019,How do you describe variables
+35020,35020,Which summary statistic helps describe a categorical variable
+35021,35021,How do you know if data is categorical
+35022,35022,How do you determine the threshold value in logistic regression
+35023,35023,What does an r2 value of 0.05 mean
+35024,35024,What is a good coefficient of determination
+35025,35025,Is r squared the same as correlation coefficient
+35026,35026,What does R 2 mean in correlation
+35027,35027,How do you know if a probability is dependent
+35028,35028,How do you know if something is dependent or independent
+35029,35029,What is the COV X X
+35030,35030,Does 0 covariance imply independence
+35031,35031,What is standard uncertainty mean
+35032,35032,What happens to uncertainty when you divide by 2
+35033,35033,What happens to uncertainty when you square root
+35034,35034,Why are experimental uncertainties important
+35035,35035,What happens to uncertainty as the number of trials increases
+35036,35036,Why do we measure uncertainty
+35037,35037,What is the difference between Mamdani and Sugeno
+35038,35038,What is fuzzy model
+35039,35039,What is fuzzy inference
+35040,35040,What is the difference between Mamdani and Sugeno in fuzzy logic
+35041,35041,What are the application of fuzzy inference system
+35042,35042,What does the Apriori analysis of an algorithm assume
+35043,35043,Where are neurons located
+35044,35044,What is a neuron and where is it found
+35045,35045,Which algorithm is most efficient
+35046,35046,Which algorithm is best for sorting
+35047,35047,What does ROC mean
+35048,35048,What does ROC mean in texting
+35049,35049,What is ROC in statistics
+35050,35050,How do you assess accuracy and precision
+35051,35051,How do you find the precision of data
+35052,35052,What is continuous time Fourier series
+35053,35053,What's the difference between a continuous time Fourier transform and a discrete time Fourier transform
+35054,35054,What is an FFT plot
+35055,35055,Which type of functions can be expanded as a Fourier series
+35056,35056,How do you find the representation of a Fourier series
+35057,35057,What do Fourier series coefficients represent
+35058,35058,What is the difference between the predictor variable and the criterion variable
+35059,35059,What is criterion in statistics
+35060,35060,What is a good value for coefficient of variation
+35061,35061,What does a coefficient of variation of 1 mean
+35062,35062,Can disjoint events be independent
+35063,35063,Does disjoint mean independent
+35064,35064,Why are mutually exclusive events not independent
+35065,35065,Are disjoint events the same as independent events
+35066,35066,Are disjoint events dependent
+35067,35067,What are the requirements of good control strategy in artificial intelligence
+35068,35068,What are the problem characteristics of artificial intelligence
+35069,35069,What is the relevance of search and control strategies in problem solving
+35070,35070,How do you interpret factor loadings
+35071,35071,What do negative factor loadings mean
+35072,35072,What is semi structured data with example
+35073,35073,What is the difference between relationship and correlation
+35074,35074,What is the correlation in statistics
+35075,35075,What would be the performance measure in handwriting recognition problem
+35076,35076,What are target variables
+35077,35077,How do you find the target variable
+35078,35078,In which type target variable is continuous value
+35079,35079,What are the different forecasting models
+35080,35080,What are the different sources of data for forecasting
+35081,35081,What is data forecasting
+35082,35082,What is a discrete random variable example
+35083,35083,How do you calculate discrete e XY
+35084,35084,What is a random variable How would you differentiate a discrete from a continuous random variable
+35085,35085,Is logistic regression an unsupervised machine learning algorithm
+35086,35086,What is the residual in a regression equation
+35087,35087,What is the meaning of residuals
+35088,35088,What is random forest regression
+35089,35089,How do you work out relative frequency GCSE
+35090,35090,What are the two basic properties of probabilities
+35091,35091,What are the basic terms in probability
+35092,35092,How many neurons does AI have
+35093,35093,What is neuron in neural network
+35094,35094,Why was Ai invented
+35095,35095,What is the purpose of artificial intelligence
+35096,35096,What caused artificial intelligence
+35097,35097,What is sentiment analysis in NLP
+35098,35098,Is Sentiment analysis part of NLP
+35099,35099,What are classes in a frequency table
+35100,35100,What is the class interval on a histogram
+35101,35101,Where is dimensionality reduction used
+35102,35102,Why is data reduction Important
+35103,35103,How data reduction helps in data preprocessing
+35104,35104,Why feature reduction is important in machine learning
+35105,35105,How can I learn big data
+35106,35106,What is an acceptable correlation coefficient
+35107,35107,Is a correlation coefficient of 0.6 strong
+35108,35108,Which of the following is lexicon used in sentiment analysis
+35109,35109,How do you get better at solving algorithms
+35110,35110,What is algorithm formula
+35111,35111,What does coefficient value mean
+35112,35112,How do you find the minimum variance
+35113,35113,What is the minimum variance frontier
+35114,35114,Why is minimum variance portfolio important
+35115,35115,How do you find the minimum variance of a standard deviation portfolio
+35116,35116,How is Umvue estimator calculated
+35117,35117,Is variance and unbiased estimator
+35118,35118,What does it mean when a population is normally distributed
+35119,35119,Is Chi square a measure of association
+35120,35120,What does the kurtosis value mean
+35121,35121,What does the kurtosis of a distribution measure
+35122,35122,How do you calculate kurtosis
+35123,35123,How do you find the normality of skewness and kurtosis
+35124,35124,How do you find the mean of a chi square distribution
+35125,35125,What is the mean of chi square distribution with 6 degrees of freedom
+35126,35126,What does asymptotic behavior mean
+35127,35127,What is asymptotic statistics
+35128,35128,What is the meaning of asymptotic analysis
+35129,35129,What is the purpose of statistical analysis
+35130,35130,What is the importance of statistical analysis in research
+35131,35131,What does Standard Deviation tell us about data
+35132,35132,How do you interpret standard error of difference
+35133,35133,How do I work out relative frequency
+35134,35134,What's the difference between frequency and relative frequency
+35135,35135,What is the difference between absolute and relative frequency
+35136,35136,How are deciles and quartiles related to percentiles
+35137,35137,What is quantile
+35138,35138,What are different approaches of writing randomized algorithm write randomized sort algorithms
+35139,35139,What is evolutionary computing in machine learning
+35140,35140,What is training data in machine learning
+35141,35141,What is training data and test data in ML
+35142,35142,Why do we train and test data
+35143,35143,How do you read a distance matrix
+35144,35144,How do you visualize multi dimensional data
+35145,35145,Which of the following visualization technique can be used for multivariate systems
+35146,35146,How do you effectively visualize a data give examples
+35147,35147,What does plot () function plots
+35148,35148,What is Nesterov momentum
+35149,35149,How do you calculate the geometric mean
+35150,35150,What is a confounder in statistics
+35151,35151,What does confounding factor mean
+35152,35152,How do you interpret likelihood
+35153,35153,How do you assess the likelihood of risk
+35154,35154,What is likelihood and probability of loss in risk
+35155,35155,What is the difference between likelihood and impact
+35156,35156,What is artificial intelligence and neural networks
+35157,35157,Is neural network an AI
+35158,35158,What is the difference between artificial intelligence and deep learning
+35159,35159,What does a regression line tell us
+35160,35160,What do you mean by binomial
+35161,35161,What is square of binomial and examples
+35162,35162,What is binomial and Monomial
+35163,35163,What is the meaning of binomial expression
+35164,35164,How do you write a binomial expression
+35165,35165,How do you know if an equation is a binomial
+35166,35166,What is Eigen value in factor analysis
+35167,35167,How do you find eigenvalues from factor loadings
+35168,35168,What is a good eigenvalue score
+35169,35169,How does Netflix use collaborative filtering
+35170,35170,What makes a good representative sample
+35171,35171,Why is it important to choose a representative sample of the population quizlet
+35172,35172,Why is it important to select a sample that represents the population as closely as possible
+35173,35173,What are the different types of hypothesis How does one type differ from another
+35174,35174,What are the different types of hypotheses
+35175,35175,What does Undercoverage mean in statistics
+35176,35176,What is nonresponse in statistics
+35177,35177,What do machine learning models do
+35178,35178,What is data mining techniques
+35179,35179,Which tool is used for data mining
+35180,35180,What is data mining PDF
+35181,35181,What is XBAR
+35182,35182,What does Y represent in regression
+35183,35183,What is the meaning of artificial intelligence in computer
+35184,35184,What is AI used in today
+35185,35185,How can you reduce Overfitting of a Random Forest model
+35186,35186,Do random forests Overfit
+35187,35187,What is the difference between random and nonrandom sampling
+35188,35188,What is probability and non probability sampling methods
+35189,35189,What is probabilistic sampling method
+35190,35190,What is a residual and how is it calculated
+35191,35191,What do we use residuals for
+35192,35192,What is hashing in computing
+35193,35193,What is meant by hashing in data structure
+35194,35194,How do you find the optimal value of k in Knn
+35195,35195,Which of the following value of K in K NN would minimize the leave one out cross validation accuracy
+35196,35196,How does the value of k affect the overall fit of the model in KNN algorithm
+35197,35197,What is agent artificial intelligence
+35198,35198,What are types of agents
+35199,35199,What is the meaning of population in statistics
+35200,35200,What is population and sample in math
+35201,35201,What is population in data
+35202,35202,What is population in data analysis
+35203,35203,What is the difference between sampling and non sampling error
+35204,35204,What is the difference between a sampling error and a non sampling error give examples of both types of errors
+35205,35205,What is difference between sampling and non sampling errors
+35206,35206,What are sampling errors Class 11
+35207,35207,What is sampling and non sampling error
+35208,35208,What is Alpha in confidence level
+35209,35209,How do you find the alpha value in statistics
+35210,35210,What is alpha value and p value
+35211,35211,How do you calculate alpha in statistics
+35212,35212,How do you find beta in statistics
+35213,35213,What is β in statistics
+35214,35214,What is data structure and different types of data structure
+35215,35215,What is data structure and explain
+35216,35216,What does it mean when something diverges
+35217,35217,What does it mean if a geometric series diverges
+35218,35218,Is Cox regression Parametric
+35219,35219,What is Weibull regression
+35220,35220,What is a semi parametric EQ
+35221,35221,Why is scaling important before clustering
+35222,35222,Is scaling is an important step before applying k mean algorithm
+35223,35223,What is the variance of a constant
+35224,35224,How do you find the expected value of a continuous random variable
+35225,35225,How do you find the mode of a continuous probability distribution
+35226,35226,What can I do with reinforcement learning
+35227,35227,How are moving averages calculated
+35228,35228,What does Generalisation mean
+35229,35229,What is generalization in a story
+35230,35230,How does an image classifier work
+35231,35231,How can image classification improve accuracy
+35232,35232,How can neural networks help you perform analytical tasks
+35233,35233,How neural networks provide solutions to real world problems and complex problems
+35234,35234,What kind of problems can machine learning solve
+35235,35235,Where can I learn about AI
+35236,35236,How big should my neural network be
+35237,35237,What is the difference between data mining and data profiling
+35238,35238,What is bagging in statistics
+35239,35239,What is bagging technique class 12
+35240,35240,What's the difference between boosting and bagging
+35241,35241,What are coefficients in a regression
+35242,35242,What is a regression coefficient in multiple regression
+35243,35243,What do you mean by regression equation
+35244,35244,How do you calculate regression equation
+35245,35245,What does r2 mean in regression analysis
+35246,35246,What are coefficients in regression analysis
+35247,35247,What are the types of inferential statistics
+35248,35248,What are the 2 main branches of statistics
+35249,35249,What are the two major areas of statistics define and give one example each
+35250,35250,Where is confusion matrix used
+35251,35251,What is the confirmation bias quizlet
+35252,35252,What is confirmation bias and which type of reasoning does it affect
+35253,35253,How do you calculate Bin value
+35254,35254,What is a bin in statistics
+35255,35255,What is Bin value histogram
+35256,35256,What are the two main types of supervised learning and explain
+35257,35257,What do you mean by pseudo random number generation explain
+35258,35258,How do you find the median of a data set
+35259,35259,How do you pass a string value from one ViewController to another view controller
+35260,35260,How do you pass a string value from one ViewController to another view controller in Swift
+35261,35261,How do you pass a string value from one Viewcontroller to another view controller in Swift
+35262,35262,How do you find discrete probability
+35263,35263,What is discrete random variable in probability
+35264,35264,What is variance of a discrete random variable
+35265,35265,How do you find the variance of discrete data
+35266,35266,What does it mean when a variable is discrete
+35267,35267,What is the mean of discrete probability distribution
+35268,35268,What does the mean of a probability distribution tell us how do you interpret the mean of a probability distribution
+35269,35269,How do you know if your data is parametric or non parametric
+35270,35270,What is linear activation
+35271,35271,Why is scaling important in clustering
+35272,35272,What is scalability in clustering
+35273,35273,What does it mean if there is a positive correlation
+35274,35274,What is the difference between a positive and negative linear correlation
+35275,35275,How can you tell if a relationship is linear
+35276,35276,How do you write relationships between X and Y
+35277,35277,Are chi square values normally distributed
+35278,35278,Which of the following properties describe the chi square distribution Mcq
+35279,35279,How many degrees of freedom does the chi square distribution have
+35280,35280,What is the moment of a distribution
+35281,35281,What is moment of a random variable
+35282,35282,What is batch processing of data
+35283,35283,What is batch processing and examples
+35284,35284,What is batch processing in ETL
+35285,35285,How many types are available in Ann learning
+35286,35286,What are the features of artificial neural network
+35287,35287,How does an artificial neural network work
+35288,35288,What is exponential distribution in statistics
+35289,35289,What is the PDF of a Poisson distribution
+35290,35290,What is normal PDF
+35291,35291,How do you know if a PDF is normally distributed
+35292,35292,How can variables be controlled
+35293,35293,How do you find the correlation coefficient between two stocks
+35294,35294,How is correlation defined
+35295,35295,How do you calculate factorials quickly
+35296,35296,Why is random assignment important for cause and effect
+35297,35297,Why is it important for researchers to randomize the order
+35298,35298,Why are participants randomly allocated
+35299,35299,How do you randomize study participants
+35300,35300,What is the method used in randomization
+35301,35301,What is the main purpose of randomisation
+35302,35302,Why is it important to use random assignment when determining which research participants
+35303,35303,How do you find cosine similarity in R
+35304,35304,What is interval scale measurement
+35305,35305,How do you evaluate LDA
+35306,35306,How do you evaluate a topic
+35307,35307,What is learning rate in boosting
+35308,35308,What is learning rate in random forest
+35309,35309,What is a discrete distribution in statistics
+35310,35310,Can discrete data be normally distributed
+35311,35311,What does it mean for a random variable to be normally distributed
+35312,35312,How do you know if a random variable is normally distributed
+35313,35313,Are random samples normally distributed
+35314,35314,What is the difference between normal PDF and normal CDF
+35315,35315,What is the CDF of a normal distribution
+35316,35316,What is the PDF of geometric distribution
+35317,35317,How does selection bias affect internal validity
+35318,35318,How does bias reduce the validity of the study
+35319,35319,What is the independent variable in regression analysis
+35320,35320,What is the purpose of an independent variable
+35321,35321,What is the purpose of independent and dependent variables
+35322,35322,Which is the independent variable
+35323,35323,How can you tell if a variable is independent or dependent
+35324,35324,Where is the dependent variable found
+35325,35325,What is the purpose of confidence intervals
+35326,35326,What Artificial Intelligence Cannot do
+35327,35327,What is deep learning what can deep learning do that traditional machine learning methods Cannot
+35328,35328,How is traditional machine learning different from deep learning
+35329,35329,How do you calculate the normal range
+35330,35330,What is range example
+35331,35331,Does range mean distance
+35332,35332,What is difference between accuracy and error
+35333,35333,What is the difference of accuracy and precision
+35334,35334,Why is it important to check for accuracy
+35335,35335,What is Arch in time series
+35336,35336,What do you mean by eigenfunction and eigenvalue
+35337,35337,What is Eigen state
+35338,35338,What is the meaning of eigenvalue
+35339,35339,How do you find eigenvalues and eigenvectors of an operator
+35340,35340,How do you calculate eigen value
+35341,35341,What is the true regression line
+35342,35342,What is an estimator in regression
+35343,35343,What is the difference between a sample regression line and population regression line
+35344,35344,What is a fitted regression line
+35345,35345,Why is the median not affected by outliers
+35346,35346,Is the mean median or mode most sensitive to the presence of outliers
+35347,35347,Why is accuracy more important than precision
+35348,35348,Is homogeneity of variance good
+35349,35349,What is meant by homogeneity of variance
+35350,35350,Why do we test for homogeneity of variance
+35351,35351,What do eigenvalues represent in PCA
+35352,35352,What is eigenvalue in control system
+35353,35353,What is the relation between mean deviation and standard deviation
+35354,35354,How do you find standard deviation with just the mean
+35355,35355,Is standard deviation a function of the mean
+35356,35356,Is weighted average the same as average
+35357,35357,How do you interpret principal components
+35358,35358,Is the correlation matrix suitable for a principal component analysis
+35359,35359,How do you find the principal component of a correlation matrix
+35360,35360,How can you see an association between two categorical variables
+35361,35361,What does it mean for two categorical variables to have an association
+35362,35362,Which test is used to identify whether there is a relationship between two categorical variables
+35363,35363,How do you describe the association between two variables