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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?

354


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

91


How many types are available in machine learning?

187


List down various approaches for machine learning?

69


What is a model selection in machine learning?

88


Please explain the concept of a boltzmann machine.

97


What are the topics in machine learning?

86


Is naïve bayes a supervised or unsupervised method?

112


What is symbolic reasoning?

150


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

131


Explain the Algorithm of Probabilistic networks in Machine Learning?

85


Which one would you prefer to choose – model accuracy or model performance?

185


Why machine learning is so important?

118


How will you know which machine learning algorithm to choose for your classification problem?

87


What is bias-variance trade-off in machine learning?

95


What are standardization and normalisation? Give one advantage of each over the other?

70