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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is algorithm independent machine learning?

116

What is the difference between artificial learning and machine learning?

95

What is the classifier in machine learning?

90

What are the advantages of Naive Bayes?

118

In what areas Pattern Recognition is used?

85

How would you approach the “Netflix Prize” competition?

163

What are the different methods of Sequential Supervised Learning?

84

What are the areas in robotics and information processing where the sequential prediction problem arises?

99

What is batch statistical learning?

141

What is PAC Learning?

103

What are the different categories you can categorize the sequence learning process?

154

What is sequence learning?

91

What are two techniques of Machine Learning?

119

What is the bias-variance decomposition of classification error in the ensemble method?

134

What is an Incremental Learning algorithm in the ensemble?

94


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is the difference between type I and type ii error?

153


What is decision tree classification?

128


Explain the Inductive Learning in Machine Learning?

87


What is Genetic Programming?

104


What according to you, is more important between model accuracy and model performance?

164


What are the most common types of machine learning task?

80


What is naive bayes classifier?

124


What is your favorite algorithm and also explain the algorithm in briefly in a minute?

75


What are some common unsupervised tasks other than clustering?

72


Explain the steps in making a decision tree.

122


Explain what is the difference between inductive machine learning and deductive machine learning?

71


An example where ensemble techniques might be useful?

109


Explain the purpose of machine learning?

69


What is Time Series Analysis/ Forecasting?

94


What is the calibration layer in machine learning?

127