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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What is calibration in machine learning?

102

Explain the Algorithm Technique of Supervised Learning in Machine Learning?

81

Explain the Algorithm Technique of Unsupervised Learning in Machine Learning?

82

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

98

Explain the Algorithm Technique of Reinforcement Learning in Machine Learning?

95

Explain the Algorithm Technique of Transduction in Machine Learning?

101

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

170

What is the Model Building in Machine Learning?

138

What is the Model testing in Machine Learning?

249

What is the Applying the model in Machine Learning?

135

Explain the Genetic Programming in Machine Learning?

76

Explain the Inductive Learning in Machine Learning?

91

What is sequence classification?

167

What is sequence model?

117

What is keras sequential model?

352


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Why do we convert categorical variables into factor? Which function is used in r to perform the same?

117


Why is harmonic mean used to calculate f1 score and not the arithmetic mean?

109


Differentiate between inductive learning and deductive learning?

105


What is a fourier transform?

100


What is the batch in machine learning?

114


Why are vectors and norms used in machine learning?

110


What is bias and variance in a Machine Learning model?

249


What do you understand by Eigenvectors and Eigenvalues?

114


what is the function of ‘supervised learning’?

66


Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?

167


What is false positive and false negative and how are they significant?

105


What is symbolic learning?

112


Explain me what cross-validation technique would you use on a time series dataset?

131


Tell us what's the difference between a generative and discriminative model?

83


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

98