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?

127

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

223

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

206

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?

177

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?

121

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

167

Tell me what is supervised versus unsupervised learning?

103

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Un-Answered Questions { AI Machine Learning }

How can you avoid overfitting?

110

Explain cross-validation.

What is regularization in machine learning?

130

What are the five popular algorithms of Machine Learning?

109

What’s the trade-off between bias and variance?

111

Explain the difference between type I and type ii error?

When is ridge regression favorable over lasso regression?

161

What is difference between a parameter and a hyperparameter?

180

What is the baseline for machine learning?

101

Explain me machine learning in to a layperson?

148

Explain what is a recommendation system?

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

194

What is the difference between type I and type ii error?

161

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

Give me an examples of nosql architecture?

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