AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

Questions Answers Views Company eMail

What are PCA, KPCA, and ICA used for?

What is dimension reduction in Machine Learning?

169

What are support vector machines?

190

What are the components of relational evaluation techniques?

147

What is ensemble learning?

Why ensemble learning is used?

When to use ensemble learning?

117

What are the two paradigms of ensemble methods?

149

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

Why overfitting happens?

101

Why Accuracy is important in machine learning?

164

What is accuracy score in machine learning?

114

What is accuracy machine learning?

100

What is Test set in machine learning?

122

What is Training set in machine learning?

209

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Un-Answered Questions { AI Machine Learning }

Explain when should you use classification over regression?

Tell us what's the difference between type I and type ii error?

128

Is coding required for machine learning?

What is conditional probability?

What is a fourier transform?

What is PAC Learning?

103

What is convergence in machine learning?

111

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

162

How To Handle Or Missing Data In A Dataset?

187

What is regularization? What kind of problems does regularization solve?

Tell me what are the last machine learning papers you've read?

198

What is the difference between probability and likelihood?

158

What are the different categories you can categorized the sequence learning process?

Explain the objective of machine learning?

100

What is root cause analysis?

158

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