Machine Learning Interview Questions and Answers

Frequently asked Interview Questions and Answers in Machine Learning suites for both Freshers and Experienced Candidates.

Interview Questions and Answers Set 1

What is machine learning? In answering this question, try to show your understand of the broad applications of machine learning,

Interview Questions and Answers Set 3

What is bucketing in machine learning?Converting a (usually continuous) feature into multiple binary features called buckets or bins, typically based on value range.

Interview Questions and Answers Set 5

What is Rectified Linear Unit (ReLU) in Machine learning?An activation function with the following rules:

Interview Questions and Answers Set 7

What is dimensionality reduction? Explain in detail.The process of reducing variables in a ML classification scenario is called Dimensionality reduction.

Interview Questions and Answers Set 9

What are the advantages of Naive Bayes?In Naïve Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data.

Interview Questions and Answers Set 2

What is inductive machine learning? The inductive machine learning involves the process of learning by examples, where a system, from a set of..

Interview Questions and Answers Set 4

Define What Is Fourier Transform In A Single Sentence? A process of decomposing generic functions into a superposition of symmetric functions...

Interview Questions and Answers Set 6

What Are The Three Stages To Build The Model In Machine Learning? What is convergence in machine learning?

Interview Questions and Answers Set 8

What are the three stages to build the hypotheses or model in machine learning?What is the standard approach to supervised learning?

Interview Questions and Answers Set 10

What is bias-variance decomposition of classification error in ensemble method?The expected error of a learning algorithm can be decomposed into bias and variance.