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

AI Machine Learning Interview Questions

Questions Answers Views Company eMail

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

105

What is the curse of dimensionality? Can you list some ways to deal with it?

122

What is an imbalanced dataset? Can you list some ways to deal with it?

122

Can you explain the differences between supervised, unsupervised, and reinforcement learning?

109

What is data augmentation? Can you give some examples?

110

What are convolutional networks? Where can we use them?

107

What are the steps for wrangling and cleaning data before applying machine learning algorithms?

Microsoft,

Choose any machine learning algorithm and describe it.

Microsoft,

255

What do you mean by finite automata?

Verifone,

What are different types of Compilers and also define how to convert NFA to DFA?

Tavant Technologies, Verifone,

Why is naïve bayes machine learning algorithm naïve?

152

what’s a fourier transform?

133

What are parametric models? Give an example.

Explain latent dirichlet allocation (lda).

112

Explain the bias-variance tradeoff.

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Un-Answered Questions { AI Machine Learning }

Is python better than r?

117

What is an imbalanced dataset? Can you list some ways to deal with it?

122

How will you explain machine learning to a layperson?

Give examples of machine-to-machine communications?

What is batch statistical learning?

152

Explain the Algorithm Technique of Unsupervised Learning in Machine Learning?

What is Training set in machine learning?

211

Is machine learning hard?

199

Explain the difference between type I and type ii error?

Describe the classifier in machine learning.

What is the difference between probability and likelihood?

164

Which os is good for machine learning?

124

What is keras sequential model?

352

Tell me how is knn different from k-means clustering?

What is connectionist AI?

136

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