AI Machine Learning Interview Questions
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What is calibration in machine learning?

62

Explain the Algorithm Technique of Supervised Learning in Machine Learning?

54

Explain the Algorithm Technique of Unsupervised Learning in Machine Learning?

51

Explain the Algorithm Technique of Semi-supervised Learning in Machine Learning?

63

Explain the Algorithm Technique of Reinforcement Learning in Machine Learning?

59

Explain the Algorithm Technique of Transduction in Machine Learning?

63

Explain the Algorithm Technique of Learning to Learn in Machine Learning?

63

What is the Model Building in Machine Learning?

82

What is the Model testing in Machine Learning?

183

What is the Applying the model in Machine Learning?

56

Explain the Genetic Programming in Machine Learning?

39

Explain the Inductive Learning in Machine Learning?

56

What is sequence classification?

55

What is sequence model?

66

What is keras sequential model?

314


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Un-Answered Questions { AI Machine Learning }

Do you know which is more important to you– model accuracy, or model performance?

46


Who invented machine learning?

58


If a highly positively skewed variable has missing values and we replace them with mean, do we underestimate or overestimate the values?

110


What is conditional probability explain with an example?

72


What is connectionist AI?

78






What is svm algorithm?

92


What is pruning in decision trees?

85


How is a decision tree pruned?

53


What is the bias-variance decomposition of classification error in the ensemble method?

58


What are the common ways to handle missing data in a dataset?

87


Tell us what is decision tree classification?

61


What is pruning in decision trees and how is it done?

55


Explain the benefit of naive bayes in machine learning?

79


What is Machine learning?

54


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

42