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

Why naïve bayes is called naïve?

105

What are the 3 types of ai?

Explain the objective of machine learning?

109

Explain the machine learning techniques?

110

Explain the types of machine learning?

101

What is regression in machine learning?

176

Explain the difference between machine learning and regression?

What is conditional probability?

Explain the difference between bayes and naive bayes?

146

How bayes theorem is useful in a machine learning context?

What are the classification problems in machine learning?

157

Explain why is naive bayes better than decision tree?

Explain the benefit of naive bayes in machine learning?

101

Why naive bayes is called naive?

Explain the difference between bayesian and frequentist?

106

Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Tell us what is the difference between supervised and unsupervised machine learning?

Is machine learning artificial intelligence?

What are the different methods for Sequential Supervised Learning?

109

Describe the classifier in machine learning.

What do you mean by Inductive Logic Programming (ILP)?

102

What Is The Difference Between Machine Learning And Data Mining?

117

Tell us what is your training in machine learning and what types of hands-on experience do you have?

Explain me how would you handle an imbalanced dataset?

Where do we use encoder and decoder?

107

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

Why do we need to convert categorical variables into factor?

What do you mean by parametric models?

Explain how do you think google is training data for self-driving cars?

155

Can naive bayes be used for multiclass classification?

What is the difference between data mining and machine learning?

185

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