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machine learning interview question

Is it possible to use KNN for image processing?

machine learning interview question

Differentiate between K-Means and KNN algorithms?

machine learning interview question

Explain the terms Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning?

machine learning interview question

What are the different types of Learning/ Training models in ML?

machine learning interview question

What is the difference between deep learning and machine learning?

machine learning interview question

What is the main key difference between supervised and unsupervised machine learning?

machine learning interview question

How do you select important variables while working on a data set?

machine learning interview question

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

How are covariance and correlation different from one another?

machine learning interview question

State the differences between causality and correlation?

machine learning interview question

We look at machine learning software almost all the time. How do we apply Machine Learning to Hardware?

machine learning interview question

Explain One-hot encoding and Label Encoding. How do they affect the dimensionality of the given dataset?

machine learning interview question

When does regularization come into play in Machine Learning?

machine learning interview question

What is Bias, Variance and what do you mean by Bias-Variance Tradeoff?

machine learning interview question

How can we relate standard deviation and variance?

machine learning interview question

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

Is a high variance in data good or bad?

machine learning interview question

If your dataset is suffering from high variance, how would you handle it?

machine learning interview question

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

Explain the handling of missing or corrupted values in the given dataset.

machine learning interview question

What is Time series?

machine learning interview question

What is a Box-Cox transformation?

machine learning interview question

What is the difference between stochastic gradient descent (SGD) and gradient descent (GD)?

machine learning interview question

What is the exploding gradient problem while using the back propagation technique?

machine learning interview question

Can you mention some advantages and disadvantages of decision trees?

machine learning interview question

Explain the differences between Random Forest and Gradient Boosting machines.

machine learning interview question

What is a confusion matrix and why do you need it?

machine learning interview question

What’s a Fourier transform?

machine learning interview question

What do you mean by Associative Rule Mining (ARM)?

machine learning interview question

What is Marginalisation? Explain the process.

machine learning interview question

Explain the phrase “Curse of Dimensionality”.

machine learning interview question

What is the Principle Component Analysis?

machine learning interview question

Why is rotation of components so important in Principle Component Analysis (PCA)?

machine learning interview question

What are outliers? Mention three methods to deal with outliers.

machine learning interview question

What is the difference between regularization and normalisation?

machine learning interview question

Explain the difference between Normalization and Standardization.

machine learning interview question

List the most popular distribution curves along with scenarios where you will use them in an algorithm.

machine learning interview question

How do we check the normality of a data set or a feature?

machine learning interview question

What is Linear Regression?

machine learning interview question

Differentiate between regression and classification.

machine learning interview question

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

List all assumptions for data to be met before starting with linear regression.

machine learning interview question

When does the linear regression line stop rotating or finds an optimal spot where it is fitted on data?

machine learning interview question

Why is logistic regression a type of classification technique and not a regression? Name the function it is derived from?

machine learning interview question

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

What does the term Variance Inflation Factor mean?

machine learning interview question

Which machine learning algorithm is known as the lazy learner, and why is it called so?

machine learning interview question

How does the SVM algorithm deal with self-learning?

machine learning interview question

What are Kernels in SVM? List popular kernels used in SVM along with a scenario of their applications.

machine learning interview question

What is Kernel Trick in an SVM Algorithm?

machine learning interview question

What are ensemble models? Explain how ensemble techniques yield better learning as compared to traditional classification ML algorithms.

machine learning interview question

What are overfitting and underfitting? Why does the decision tree algorithm suffer often with overfitting problems?

machine learning interview question

What is OOB error and how does it occur?

machine learning interview question

Why boosting is a more stable algorithm as compared to other ensemble algorithms?

machine learning interview question

How do you handle outliers in the data?

machine learning interview question

List popular cross validation techniques.

machine learning interview question

Is it possible to test for the probability of improving model accuracy without cross-validation techniques? If yes, please explain

machine learning interview question

Name a popular dimensionality reduction algorithm.

machine learning interview question

How can we use a dataset without the target variable into supervised learning algorithms?

machine learning interview question

List all types of popular recommendation systems? Name and explain two personalized recommendation systems along with their ease of implementation

machine learning interview question

How do we deal with sparsity issues in recommendation systems? How do we measure its effectiveness? Explain.

machine learning interview question

Name and define techniques used to find similarities in the recommendation system.

machine learning interview question

State the limitations of Fixed Basis Function.

machine learning interview question

Define and explain the concept of Inductive Bias with some examples.

machine learning interview question

Explain the term instance-based learning.

machine learning interview question

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

Define precision, recall and F1 Score?

machine learning interview question

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

What is Bayes’ Theorem? State at least 1 use case with respect to the machine learning context?

machine learning interview question

What is Naive Bayes? Why is it Naive?

machine learning interview question

Explain how a Naive Bayes Classifier works

machine learning interview question

What do the terms prior probability and marginal likelihood in context of Naive Bayes theorem mean?

machine learning interview question

Explain the difference between Lasso and Ridge?

machine learning interview question

What’s the difference between probability and likelihood?

machine learning interview question

Why would you Prune your tree?

machine learning interview question

Model accuracy or Model performance? Which one will you prefer and why?

machine learning interview question

List the advantages and limitations of the Temporal Difference Learning Method.

machine learning interview question

How would you handle an imbalanced dataset?

machine learning interview question

Mention some of the EDA Techniques?

machine learning interview question

Mention why feature engineering is important in model building and list out some of the techniques used for feature engineering.

machine learning interview question

Differentiate between Statistical Modeling and Machine Learning?

machine learning interview question

Differentiate between Boosting and Bagging?

machine learning interview question

What is the significance of Gamma and Regularization in SVM?

machine learning interview question

Define ROC curve work

machine learning interview question

What is the difference between a generative and discriminative model?

machine learning interview question

What are hyperparameters and how are they different from parameters?

machine learning interview question

What is shattering a set of points? Explain VC dimension.

machine learning interview question

What are some differences between a linked list and an array?

machine learning interview question

What is the meshgrid () method and the contourf () method? State some usesof both.

machine learning interview question

Describe a hash table.

machine learning interview question

List the advantages and disadvantages of using Neural Networks.

machine learning interview question

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

What is an Array?

machine learning interview question

What are the advantages and disadvantages of using an Array?

machine learning interview question

What is Lists in Python?

machine learning interview question

Explain Eigenvectors and Eigenvalues.

machine learning interview question

How would you define the number of clusters in a clustering algorithm?

machine learning interview question

What are the performance metrics that can be used to estimate the efficiency of a linear regression model?

machine learning interview question

What is the default method of splitting in decision trees?

machine learning interview question

How is p-value useful?