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 symbolic planning?

108

What is the difference between machine learning and artificial intelligence?

116

What is symbolic learning in AI?

What is non symbolic Interactionism?

What is connectionist AI?

130

What is statistical reasoning in artificial intelligence?

114

What is Bayes theorem in artificial intelligence?

105

What is reasoning and its types in artificial intelligence?

157

What is the Difference between Concept Learning and Classification Learning in Machine Learning?

222

What is the Difference between Inductive Learning and Analytical Learning in Machine Learning?

Explain the Algorithm of Decision Trees in Machine Learning?

Explain the Algorithm of Neural Networks (back propagation) in Machine Learning?

109

Explain the Algorithm of Probabilistic networks in Machine Learning?

Explain the Algorithm of Nearest Neighbor in Machine Learning?

146

Explain the Algorithm of Support vector machines in Machine Learning?

Un-Answered Questions { AI Machine Learning }

What do you think of our current data process?

How will you choose the most appropriate machine learning algorithm for your classification problem?

Explain me how would you handle an imbalanced dataset?

What is the “kernel trick” and how is it useful?

119

Tell me how a roc curve works?

What is Random Forest?

115

What are the most common types of machine learning task?

Explain the most common types of machine learning task?

What is data augmentation in ml?

How bayes theorem is useful in a machine learning context?

What is the benefit of naive bayes in machine learning?

How would you use f1 score?

Explain The Concept Of Machine Learning And Assume That You Are Explaining This To A 5-year-old Baby?

What are the three stages to build any model in machine learning?

Do you have research experience in machine learning?

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