AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

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Why naïve bayes is called naïve?

What are the 3 types of ai?

Explain the objective of machine learning?

Explain the machine learning techniques?

Explain the types of machine learning?

What is regression in machine learning?

Explain the difference between machine learning and regression?

What is conditional probability?

Explain the difference between bayes and naive bayes?

How bayes theorem is useful in a machine learning context?

What are the classification problems in machine learning?

Explain why is naive bayes better than decision tree?

Explain the benefit of naive bayes in machine learning?

Why naive bayes is called naive?

Explain the difference between bayesian and frequentist?

Un-Answered Questions { AI Machine Learning }

What do you understand by underfitting?

What is the difference between heuristic for rule learning and heuristics for decision

Tell us what's the f1 score? How would you use it?

Tell us when will you use classification over regression?

Explain why Navie Bayes is so Naive?

Why is “naive” bayes naive?

What do you mean by ensemble learning?

What are the most common types of machine learning task?

What is convex hull?

What is data augmentation? Can you give some examples?

How will you explain machine learning to a layperson in an easily comprehensible manner?

How would you approach the “Netflix Prize” competition?

Name the three types of algorithms?

Explain Principal Component Analysis (PCA)?

Explain Classification and Regression?

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