AI Machine Learning Interview Questions
Questions Answers Views Company eMail

How do you choose an algorithm for a classification problem?

50

How do bias and variance play out in machine learning?

117

What is a class in machine learning?

60

What is the baseline for machine learning?

54

What Is The Difference Between An Array And Linked List?

51

What is a checkpoint in machine learning?

68

How To Handle Or Missing Data In A Dataset?

75

What is bucketing in machine learning?

73

What are some methods of reducing dimensionality?

45

How do classification and regression differ?

68

What is supervised versus unsupervised learning?

47

Define A HashTable in Machine Learning?

47

What is the bias in machine learning?

48

What is the use of gradient descent?

64

What is backpropagation in machine learning?

109


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Un-Answered Questions { AI Machine Learning }

How would you handle an imbalanced dataset?

75


Explain what is naive bayes in machine learning?

60


What are the different types of classifiers?

66


What is symbolic processing?

82


Explain how do classification and regression differ?

120






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

73


What are confounding variables?

87


What is Perceptron in Machine Learning?

69


How a roc curve works?

49


What is sequence classification?

53


What is the activation function in Machine Learning?

91


Is octave good for machine learning?

44


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

56


How is decision tree pruned?

46


Is it better to have too many false positives or too many false negatives? Explain.

46