AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is the difference between bayesian and frequentist?

75

What are the machine learning techniques?

76

Is machine learning hard?

167

How many types are available in machine learning?

98

What is the purpose of machine learning?

57

Why is logistic regression better than naive bayes?

85

Is bayesian a machine learning?

73

What is the benefit of naive bayes in machine learning?

49

Why is python so good?

50

Why is python best for machine learning?

42

What is machine learning basics?

55

What are the topics in machine learning?

51

Why machine learning is so important?

78

Which language is best for deep learning?

85

Is machine learning a good career?

51


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Un-Answered Questions { AI Machine Learning }

Why do we need a validation set and test set? What is the difference between them?

71


Explain the Algorithm Technique of Semi-supervised Learning in Machine Learning?

59


How is a decision tree pruned?

51


What is conditional probability explain with an example?

70


What is calibration in machine learning?

58






What are the basics of machine learning?

49


What is the objective of machine learning?

69


How does a classifier work?

52


How will you explain machine learning into a layperson?

37


What is sequence learning?

53


What is the F1 score?

45


What is meant by naive bayes classifier?

48


How do we know which machine learning algorithm is better for us to solve our problem?

44


What are the machine learning techniques?

76


Describe the relationship between machine learning and artificial intelligence?

54