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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is dimensionality reduction? Explain in detail.

117

On what basis do you choose a classifier?

193

Mention key business metrics that help ML?

99

What is kernel SVM?

91

What is the decision tree classification?

126

What is a recommendation system?

142

What are the five popular algorithms of Machine Learning?

109

What are the different Algorithm techniques in Machine Learning?

94

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

97

What is the standard approach to supervised learning?

107

What is ‘Training set’ and ‘Test set’?

105

List down various approaches to machine learning?

172

What is not Machine Learning?

104

Explain what is the function of ‘Unsupervised Learning’?

87

Explain what is the function of ‘Supervised Learning’?

91


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Is r better than python for machine learning?

126


Can you explain the differences between supervised, unsupervised, and reinforcement learning?

109


Tell us where do you usually source datasets?

76


Explain the function of Supervised Learning?

92


Choose any machine learning algorithm and describe it.

255


What is adagrad algorithm in machine learning?

106


Explain the difference between a generative and discriminative model?

70


Tell us how do bias and variance play out in machine learning?

93


What should I learn before machine learning?

192


What is the objective of machine learning?

197


What is root cause analysis?

164


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

88


Explain the benefit of naive bayes in machine learning?

101


Differentiate between inductive and deductive machine learning?

91


What is dimension reduction in Machine Learning?

175