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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is supervised machine learning?

94

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

75

What are the various aspects of a machine learning process?

75

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 ?

64

Differentiate between inductive and deductive machine learning?

96

What are some common unsupervised tasks other than clustering?

112

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

164

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

77

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

87

How is machine learning used in the movement?

163

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

104

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

158

Can you name some popular machine learning algorithms?

77

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

73

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

55


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Differentiate between inductive and deductive machine learning?

96


What is encoder and decoder in machine learning?

107


Mention any one of the data visualization tools that you are familiar with?

65


What is machine learning good for?

73


Which language is better for machine learning?

113


What are the advantages of Naive Bayes?

134


What are the 3 types of ai?

100


What are the types of machine learning?

100


What is supervised machine learning?

94


What type of learning is needed when the system needs to adapt to rapidly changing data?

133


What is the difference between artificial intelligence and machine learning?

129


What is the most frequent metric to assess model accuracy for classification problems?

147


What are the basic requirements for machine learning?

110


What is the F1 score?

83


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

91