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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Explain the purpose of machine learning?

Explain the 3 types of ai?

Explain the different types of classifiers?

Explain the importance of bayes theorem?

Explain the most common types of machine learning task?

What is classification in machine learning?

Explain the purpose of a classifier?

What is the use of naive bayes?

Explain how does naive bayes classifier work in machine learning?

Explain the topics in machine learning?

Explain the benefit of naive bayes mcq?

Is naive bayes a supervised or unsupervised method?

Explain what is naive bayes in machine learning?

Name the three types of algorithms?

What is the best language to learn machine learning?

Un-Answered Questions { AI Machine Learning }

Explain the difference between a generative and discriminative model?

Tell us what's the difference between type I and type ii error?

Explain how do classification and regression differ?

120

How to decide one problem is a machine learning problem or not?

Is macbook good for machine learning?

What is root cause analysis?

122

What is difference between a parameter and a hyperparameter?

What is Time Series Analysis/ Forecasting?

Is coding required for machine learning?

What are the components of relational evaluation techniques?

Tell us when should you use classification over regression?

What is stratified cross-validation and when should we use it?

How to handle missing data in a dataset in Machine Learning?

Explain me a hash table?

Name a few libraries in Python used for Data Analysis and Scientific Computations?

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