AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is Machine learning?

62

Who invented machine learning?

62

Is machine learning artificial intelligence?

51

What are the basics of machine learning?

55

Why is machine learning important?

60

What is candidate sampling in machine learning?

70

Mention the difference between Data Mining and Machine learning?

82

What is A/B testing in Machine Learning?

82

Explain How We Can Capture The Correlation Between Continuous And Categorical Variable?

71

What is ‘Overfitting’ in Machine learning?

65

Why does overfitting happen?

55

How can you avoid overfitting?

66

What is the difference between artificial intelligence and machine learning?

71

Is Python necessary for machine learning?

56

What is machine learning artificial intelligence?

57


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Un-Answered Questions { AI Machine Learning }

What is naive bayes used for?

56


How is machine learning used in the movement?

137


What are the two methods used for the calibration in Supervised Learning?

64


What are the types of machine learning?

68


Why ensemble learning is used?

57






What do you understand by cluster sampling?

39


Is regression a machine learning?

54


Differentiate between inductive and deductive machine learning?

73


Why naïve bayes is called naïve?

77


How will you design an email spam filter?

95


What is the convex function in machine learning?

61


Explain the two components of Bayesian logic program?

62


Explain how do you handle missing or corrupted data in a dataset?

65


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

68


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

97