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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is pruning in decision trees?

 125

What is data pre-processing technique for machine learning?

 76

What is data structure? And what are the different types of data structures supported in r programming?

 117

What is data augmentation in ml?

 112

What is feature scaling?

 82

What is type I vs type ii error?

 350

What sentiment analysis?

 79

Can you explain bias-variance trade-off?

 126

What is batch normalization?

 100

How is machine learning (ml) different from artificial intelligence (ai)?

 127

What is feature engineering?

 75

Can you explain rescaling data technique in data pre-processing?

 99

What is the difference between probability and likelihood?

 166

What is pca in ml?

 115

What are the important data pre-processing techniques in python machine learning?

 100

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Un-Answered Questions { AI Machine Learning }

How will you explain a linked list and an array?

72

Is naive bayes a supervised or unsupervised method?

89

Why is python so popular in machine learning?

81

Define what is Fourier Transform in a single sentence?

106

What skills do you need for machine learning?

84

What is data structure? And what are the different types of data structures supported in r programming?

117

Is gpu required for machine learning?

74

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

Can you name some popular machine learning algorithms?

77

How many types are available in machine learning?

191

Explain the two components of Bayesian logic program?

92

Explain why Navie Bayes is so Naive?

76

What Is The Difference Between Bias And Variance?

138

How do you choose an algorithm for a classification problem?

111

What is convergence in machine learning?

124

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