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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is supervised machine learning?

83

How was bayes’ theorem useful in a machine learning context?

71

What are the various aspects of a machine learning process?

69

You are given a dataset where the number of variables (p) is greater than the number of observations (n) (p>n). Which is the best technique to use and why ?

58

Differentiate between inductive and deductive machine learning?

89

What are some common unsupervised tasks other than clustering?

72

How will you set the threshold for credit card fraud detection model?

146

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

71

What are the similarities & difference between machine learning and human learning?

79

How is machine learning used in the movement?

153

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

92

“People who bought this, also bought….” Recommendations on amazon are a result of which machine learning algorithm?

146

Can you name some popular machine learning algorithms?

69

What is false positive and false negative in terms of machine learning?

71

How will you explain machine learning to a layperson in an easily comprehensible manner?

51


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

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

71


How do deductive and inductive machine learning differ?

52


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

154


What is the “curse of dimensionality?

96


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

93


What are the two main components of the hadoop framework?

67


What language does google use for machine learning?

83


Why is machine learning important?

123


Why instance based learning algorithm sometimes referred as lazy learning algorithm?

61


What is dimension reduction in Machine Learning?

169


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

91


What is the convex function in machine learning?

85


How do classification and regression differ?

107


Which method is frequently used to prevent overfitting?

90


How much data will you allocate for your training, validation and test sets?

62