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 the difference between data mining and machine learning?

203

Describe the classifier in machine learning.

What is the method to avoid overfitting?

162

What is a model selection in machine learning?

How is machine learning used in day-to-day life?

What do you understand by reinforcement learning technique?

151

What are the functions of supervised learning?

101

Why instance-based learning algorithm sometimes referred to as lazy learning algorithm?

What are the different types of algorithm methods in machine learning?

What are the three stages of building the hypotheses or model in machine learning?

How does machine learning differ from deep learning?

What is svm in machine learning? What are the classification methods that svm can handle?

227

What do you know about bayesian networks?

105

What according to you, is the standard approach to supervised learning?

What do you mean by ensemble learning?

120

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Un-Answered Questions { AI Machine Learning }

What is optimization in ML?

161

What is 'naive' in the Naive Bayes classifier?

111

What is data normalization in ml?

141

Explain me what's the trade-off between bias and variance?

101

What evaluation approaches would you work to gauge the effectiveness of a machine learning model?

Explain the Inductive Learning in Machine Learning?

What is the difference between probability and likelihood?

166

Is naive bayes supervised learning?

139

What is the activation function in Machine Learning?

146

What is the difference between Entropy and Information Gain?

136

Why naive bayes is called naive?

Is it better to have too many false positives or too many false negatives? Explain.

How is ML different from artificial intelligence?

129

Explain the purpose of machine learning?

What is PCA, KPCA and ICA used for?

104

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