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 }

How is KNN different from K-means clustering?

126

Why do we convert categorical variables into factor? Which function is used in r to perform the same?

117

Which os is best for machine learning?

138

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

160

Explain the 3 types of ai?

126

Tell me what is the most frequent metric to assess model accuracy for classification problems?

What is machine learning in artificial intelligence?

What is Genetic Programming?

111

What are the different types of algorithm methods in machine learning?

what’s a fourier transform?

133

What is data pre-processing technique for machine learning?

Tell us when will you use classification over regression?

121

Why data cleansing is important in data analysis?

How do you control for biases?

What are the two main components of the hadoop framework?

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