AI Machine Learning Interview Questions
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Explain the purpose of machine learning?

3

Explain the 3 types of ai?

3

Explain the different types of classifiers?

3




Explain the importance of bayes theorem?

3

Explain the most common types of machine learning task?

3

What is classification in machine learning?

3

Explain the purpose of a classifier?

3

What is the use of naive bayes?

3




Explain how does naive bayes classifier work in machine learning?

3

Explain the topics in machine learning?

3

Explain the benefit of naive bayes mcq?

3

Is naive bayes a supervised or unsupervised method?

3

Explain what is naive bayes in machine learning?

3

Name the three types of algorithms?

3

What is the best language to learn machine learning?

3


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Un-Answered Questions { AI Machine Learning }

Define kernel svm?

3


Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?

5


What is collaborative filtering in machine learning?

5


You are given a dataset where the number of variables (p) is greater than the number of observations (n) (p>n). Which is the best technique to use and why ?

7


What are the five popular algorithms of Machine Learning?

5






Explain the Algorithm Technique of Supervised Learning in Machine Learning?

5


What are some methods of reducing dimensionality?

5


Mention key business metrics that help ML?

5


What is regularization? Can you give some examples of regularization techniques?

5


What are the different methods of Sequential Supervised Learning?

5


List down various approaches for machine learning?

5


What is the difference between inductive machine learning and deductive machine learning?

5


What is the trade-off between bias and variance?

5


What are the important data pre-processing techniques in python machine learning?

3


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

5