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 meaning of overfitting in machine learning?

100

What do you understand by machine learning?

115

Why overfitting occurs?

111

Differentiate between inductive learning and deductive learning?

105

When does regularization become necessary in machine learning?

208

What are the five popular algorithms we use in machine learning?

175

What are the functions of unsupervised learning?

What do you understand by decision tree in machine learning?

What is regularization? What kind of problems does regularization solve?

What do you understand by underfitting?

Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?

What are the similarities and differences between bagging and boosting in machine learning?

What do you understand by the f1 score?

What do you understand by cluster sampling?

What are the necessary steps involved in machine learning project?

179

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Un-Answered Questions { AI Machine Learning }

Explain the Algorithm Technique of Learning to Learn in Machine Learning?

170

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

Is java used for ai?

168

What is data structure? And what are the different types of data structures supported in r programming?

113

What is the difference between data mining and machine learning?

185

What is the difference between a.i. And machine learning, and has a.i. Been oversold for decades because of sci-fi?

What is root cause analysis?

164

Explain the purpose of a classifier?

When should one use mean absolute error over root mean square error as a performance measure for regression problems?

162

What are the two main components of the hadoop framework?

What are two techniques of Machine Learning?

127

How difficult is machine learning?

117

What is collaborative filtering in machine learning?

162

How do classification and regression differ?

117

What is a bayesian model?

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