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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 }

Is naive bayes supervised learning?

136


Give me an examples of nosql architecture?

83


Explain the Algorithm of Decision Trees in Machine Learning?

92


Which method is frequently used to prevent overfitting?

100


What is the use of naive bayes?

100


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

117


Tell me what is the difference between bias and variance?

116


What is svm in machine learning? What are the classification methods that svm can handle?

225


How is KNN different from K-means clustering?

126


What is ‘Overfitting’ in Machine learning?

103


Explain the benefit of naive bayes in machine learning?

101


Why naïve bayes is called naïve?

105


Is bayesian statistics useful?

169


How is F1 score is used?

197


What is Genetic Programming?

111