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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

What are PCA, KPCA, and ICA used for?

94

What is dimension reduction in Machine Learning?

175

What are support vector machines?

198

What are the components of relational evaluation techniques?

151

What is ensemble learning?

96

Why ensemble learning is used?

102

When to use ensemble learning?

125

What are the two paradigms of ensemble methods?

157

What measure how far the predictions are from the actual values in machine learning?

80

Why overfitting happens?

111

Why Accuracy is important in machine learning?

170

What is accuracy score in machine learning?

116

What is accuracy machine learning?

108

What is Test set in machine learning?

128

What is Training set in machine learning?

211


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

Describe precision and recall?

154


Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

71


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

170


Tell us what is the difference between supervised and unsupervised machine learning?

70


What is unsupervised learning?

83


What is not Machine Learning?

104


What is a class in machine learning?

103


What’s the difference between a generative and discriminative model?

108


What is conditional probability?

95


What do you understand by underfitting?

88


Is machine learning jobs in demand?

64


What are confounding variables?

132


What are classification problems in machine learning?

94


Which linux is best for machine learning?

74


What is the difference between inductive machine learning and deductive machine learning?

146