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 }

Is r better than python for machine learning?

126

What is the “curse of dimensionality?

102

Explain the steps in making a decision tree.

134

What is the general principle of an ensemble method and what is bagging and boosting in ensemble method?

Is Python necessary for machine learning?

110

What do you mean by genetic programming?

106

How do you control for biases?

How is ML different from artificial intelligence?

127

What is machine learning and how does it relate to ai?

108

What is your favorite algorithm and also explain the algorithm in briefly in a minute?

Why is naive bayes used for text classification?

155

What is naive bayes in machine learning?

What is symbolic reasoning?

150

Do you know which is more important to you– model accuracy, or model performance?

What is the sigmoid function in machine learning?

114

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