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

Explain me a hash table?

Tell me what is precision and recall?

120

Tell me how would you implement a recommendation system for our company's users?

221

Tell me what are the last machine learning papers you've read?

198

Explain me what is machine learning?

Tell us how do you handle missing or corrupted data in a dataset?

Tell me how much data will you allocate for your training, validation and test sets?

169

Tell me how a roc curve works?

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

Tell us why is “naive” bayes naive?

Do you know what's the “kernel trick” and how is it useful?

Tell us when should you use classification over regression?

Tell us when will you use classification over regression?

115

Tell us how do you ensure you're not overfitting with a model?

161

Tell me what is supervised versus unsupervised learning?

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Un-Answered Questions { AI Machine Learning }

Why overfitting occurs?

103

Is gpu required for machine learning?

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

Explain me what's the trade-off between bias and variance?

Tell us how is a decision tree pruned?

124

Explain Classification and Regression?

164

Tell us how do you ensure you're not overfitting with a model?

161

Why is python so popular in machine learning?

Explain the steps in making a decision tree.

124

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

115

What do you know about bayesian networks?

103

Explain the difference between a generative and discriminative model?

Which is best language for machine learning?

110

What is Time Series Analysis/ Forecasting?

What are the two main components of the hadoop framework?

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