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 pruning in decision trees?

118

What is data pre-processing technique for machine learning?

What is data structure? And what are the different types of data structures supported in r programming?

113

What is data augmentation in ml?

107

What is feature scaling?

What is type I vs type ii error?

348

What sentiment analysis?

Can you explain bias-variance trade-off?

126

What is batch normalization?

How is machine learning (ml) different from artificial intelligence (ai)?

123

What is feature engineering?

Can you explain rescaling data technique in data pre-processing?

What is the difference between probability and likelihood?

164

What is pca in ml?

115

What are the important data pre-processing techniques in python machine learning?

Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Differentiate between data science, machine learning and ai.

What is the difference between Type 1 and Type 2 errors?

142

Tell me how a roc curve works?

What is ROC curve and what does it represent?

108

Give a drawback of gradient descent ?

Tell us when should you use classification over regression?

Explain the steps in making a decision tree.

134

How was bayes’ theorem useful in a machine learning context?

Is bayesian a machine learning?

114

What is bagging in Machine Learning?

103

What is recall?

Tell us how would you approach the “netflix prize” competition?

What is a sigmoid function in Machine learning?

143

Is rotation necessary in PCA?

172

What is convergence in machine learning?

120

For More Un-Answered { AI Machine Learning } Questions Click Here