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?

124

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

Un-Answered Questions { AI Machine Learning }

Is r better than python for machine learning?

126

Explain the various benefits of r language?

How do you choose an algorithm for a classification problem?

102

Describe the classifier in machine learning.

What is the difference between supervised and unsupervised learning?

What is the difference between Gini Impurity and Entropy in a Decision Tree?

229

Explain what is the difference between inductive machine learning and deductive machine learning?

What is A/B Testing?

143

Explain machine learning in to a layperson?

What is data pre-processing technique for machine learning?

Is rotation necessary in PCA?

172

What is batch normalization?

What is the difference between a.i. And machine learning, and has a.i. Been oversold for decades because of sci-fi?

What do you understand by the confusion matrix?

What is machine learning basics?

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