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machine learning interview question | null | Is it possible to use KNN for image processing? |
machine learning interview question | null | Differentiate between K-Means and KNN algorithms? |
machine learning interview question | null | Explain the terms Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning? |
machine learning interview question | null | What are the different types of Learning/ Training models in ML? |
machine learning interview question | null | What is the difference between deep learning and machine learning? |
machine learning interview question | null | What is the main key difference between supervised and unsupervised machine learning? |
machine learning interview question | null | How do you select important variables while working on a data set? |
machine learning interview question | null | There are many machine learning algorithms till now. If given a data set, how can one determine which algorithm to be used for that? |
machine learning interview question | null | How are covariance and correlation different from one another? |
machine learning interview question | null | State the differences between causality and correlation? |
machine learning interview question | null | We look at machine learning software almost all the time. How do we apply Machine Learning to Hardware? |
machine learning interview question | null | Explain One-hot encoding and Label Encoding. How do they affect the dimensionality of the given dataset? |
machine learning interview question | null | When does regularization come into play in Machine Learning? |
machine learning interview question | null | What is Bias, Variance and what do you mean by Bias-Variance Tradeoff? |
machine learning interview question | null | How can we relate standard deviation and variance? |
machine learning interview question | null | A data set is given to you and it has missing values which spread along 1 standard deviation from the mean. How much of the data would remain untouched? |
machine learning interview question | null | Is a high variance in data good or bad? |
machine learning interview question | null | If your dataset is suffering from high variance, how would you handle it? |
machine learning interview question | null | A data set is given to you about utilities fraud detection. You have built aclassifier model and achieved a performance score of 98.5%. Is this a goodmodel? If yes, justify. If not, what can you do about it? |
machine learning interview question | null | Explain the handling of missing or corrupted values in the given dataset. |
machine learning interview question | null | What is Time series? |
machine learning interview question | null | What is a Box-Cox transformation? |
machine learning interview question | null | What is the difference between stochastic gradient descent (SGD) and gradient descent (GD)? |
machine learning interview question | null | What is the exploding gradient problem while using the back propagation technique? |
machine learning interview question | null | Can you mention some advantages and disadvantages of decision trees? |
machine learning interview question | null | Explain the differences between Random Forest and Gradient Boosting machines. |
machine learning interview question | null | What is a confusion matrix and why do you need it? |
machine learning interview question | null | What’s a Fourier transform? |
machine learning interview question | null | What do you mean by Associative Rule Mining (ARM)? |
machine learning interview question | null | What is Marginalisation? Explain the process. |
machine learning interview question | null | Explain the phrase “Curse of Dimensionality”. |
machine learning interview question | null | What is the Principle Component Analysis? |
machine learning interview question | null | Why is rotation of components so important in Principle Component Analysis (PCA)? |
machine learning interview question | null | What are outliers? Mention three methods to deal with outliers. |
machine learning interview question | null | What is the difference between regularization and normalisation? |
machine learning interview question | null | Explain the difference between Normalization and Standardization. |
machine learning interview question | null | List the most popular distribution curves along with scenarios where you will use them in an algorithm. |
machine learning interview question | null | How do we check the normality of a data set or a feature? |
machine learning interview question | null | What is Linear Regression? |
machine learning interview question | null | Differentiate between regression and classification. |
machine learning interview question | null | What is target imbalance? How do we fix it? A scenario where you have performed target imbalance on data. Which metrics and algorithms do you find suitable to input this data onto? |
machine learning interview question | null | List all assumptions for data to be met before starting with linear regression. |
machine learning interview question | null | When does the linear regression line stop rotating or finds an optimal spot where it is fitted on data? |
machine learning interview question | null | Why is logistic regression a type of classification technique and not a regression? Name the function it is derived from? |
machine learning interview question | null | What could be the issue when the beta value for a certain variable varies way too much in each subset when regression is run on different subsets of the given dataset? |
machine learning interview question | null | What does the term Variance Inflation Factor mean? |
machine learning interview question | null | Which machine learning algorithm is known as the lazy learner, and why is it called so? |
machine learning interview question | null | How does the SVM algorithm deal with self-learning? |
machine learning interview question | null | What are Kernels in SVM? List popular kernels used in SVM along with a scenario of their applications. |
machine learning interview question | null | What is Kernel Trick in an SVM Algorithm? |
machine learning interview question | null | What are ensemble models? Explain how ensemble techniques yield better learning as compared to traditional classification ML algorithms. |
machine learning interview question | null | What are overfitting and underfitting? Why does the decision tree algorithm suffer often with overfitting problems? |
machine learning interview question | null | What is OOB error and how does it occur? |
machine learning interview question | null | Why boosting is a more stable algorithm as compared to other ensemble algorithms? |
machine learning interview question | null | How do you handle outliers in the data? |
machine learning interview question | null | List popular cross validation techniques. |
machine learning interview question | null | Is it possible to test for the probability of improving model accuracy without cross-validation techniques? If yes, please explain |
machine learning interview question | null | Name a popular dimensionality reduction algorithm. |
machine learning interview question | null | How can we use a dataset without the target variable into supervised learning algorithms? |
machine learning interview question | null | List all types of popular recommendation systems? Name and explain two personalized recommendation systems along with their ease of implementation |
machine learning interview question | null | How do we deal with sparsity issues in recommendation systems? How do we measure its effectiveness? Explain. |
machine learning interview question | null | Name and define techniques used to find similarities in the recommendation system. |
machine learning interview question | null | State the limitations of Fixed Basis Function. |
machine learning interview question | null | Define and explain the concept of Inductive Bias with some examples. |
machine learning interview question | null | Explain the term instance-based learning. |
machine learning interview question | null | Keeping train and test split criteria in mind, is it good to perform scaling before the split or after the split? |
machine learning interview question | null | Define precision, recall and F1 Score? |
machine learning interview question | null | Plot validation score and training score with data set size on the x-axis and another plot with model complexity on the x-axis. |
machine learning interview question | null | What is Bayes’ Theorem? State at least 1 use case with respect to the machine learning context? |
machine learning interview question | null | What is Naive Bayes? Why is it Naive? |
machine learning interview question | null | Explain how a Naive Bayes Classifier works |
machine learning interview question | null | What do the terms prior probability and marginal likelihood in context of Naive Bayes theorem mean? |
machine learning interview question | null | Explain the difference between Lasso and Ridge? |
machine learning interview question | null | What’s the difference between probability and likelihood? |
machine learning interview question | null | Why would you Prune your tree? |
machine learning interview question | null | Model accuracy or Model performance? Which one will you prefer and why? |
machine learning interview question | null | List the advantages and limitations of the Temporal Difference Learning Method. |
machine learning interview question | null | How would you handle an imbalanced dataset? |
machine learning interview question | null | Mention some of the EDA Techniques? |
machine learning interview question | null | Mention why feature engineering is important in model building and list out some of the techniques used for feature engineering. |
machine learning interview question | null | Differentiate between Statistical Modeling and Machine Learning? |
machine learning interview question | null | Differentiate between Boosting and Bagging? |
machine learning interview question | null | What is the significance of Gamma and Regularization in SVM? |
machine learning interview question | null | Define ROC curve work |
machine learning interview question | null | What is the difference between a generative and discriminative model? |
machine learning interview question | null | What are hyperparameters and how are they different from parameters? |
machine learning interview question | null | What is shattering a set of points? Explain VC dimension. |
machine learning interview question | null | What are some differences between a linked list and an array? |
machine learning interview question | null | What is the meshgrid () method and the contourf () method? State some usesof both. |
machine learning interview question | null | Describe a hash table. |
machine learning interview question | null | List the advantages and disadvantages of using Neural Networks. |
machine learning interview question | null | You have to train a 12GB dataset using a neural network with a machine which has only 3GB RAM. How would you go about it? |
machine learning interview question | null | What is an Array? |
machine learning interview question | null | What are the advantages and disadvantages of using an Array? |
machine learning interview question | null | What is Lists in Python? |
machine learning interview question | null | Explain Eigenvectors and Eigenvalues. |
machine learning interview question | null | How would you define the number of clusters in a clustering algorithm? |
machine learning interview question | null | What are the performance metrics that can be used to estimate the efficiency of a linear regression model? |
machine learning interview question | null | What is the default method of splitting in decision trees? |
machine learning interview question | null | How is p-value useful? |