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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is the meaning of overfitting in machine learning?

106

What do you understand by machine learning?

117

Why overfitting occurs?

117

Differentiate between inductive learning and deductive learning?

107

When does regularization become necessary in machine learning?

210

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

175

What are the functions of unsupervised learning?

94

What do you understand by decision tree in machine learning?

82

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

82

What do you understand by underfitting?

116

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

83

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

96

What do you understand by the f1 score?

74

What do you understand by cluster sampling?

60

What are the necessary steps involved in machine learning project?

179


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

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

83


Tell me what is precision and recall?

129


What is the best language to learn machine learning?

96


Is machine learning artificial intelligence?

99


What is data normalization in ml?

141


Which is best language for machine learning?

115


What is conditional probability explain with an example?

104


What is motor sequence learning?

116


Why machine learning is so important?

120


Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?

173


what is the function of ‘unsupervised learning’?

86


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

88


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

123


Is naïve bayes a supervised or unsupervised method?

118


Is it better to learn python or r?

101