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 is the function of ‘unsupervised learning’?

When is ridge regression favorable over lasso regression?

165

What is the box-cox transformation used for?

What kind of problems does regularization solve?

How would you evaluate a logistic regression model?

131

Define a hash table?

List out some important methods of reducing dimensionality.

What is the difference between covariance and correlation?

134

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

152

What is regularization in machine learning?

132

How will you explain machine learning to a layperson?

Why instance based learning algorithm sometimes referred as lazy learning algorithm?

What is the difference between heuristic for rule learning and heuristics for decision trees?

what is the function of ‘supervised learning’?

Explain cross-validation.

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Un-Answered Questions { AI Machine Learning }

What is machine learning good for?

Tell us what's the f1 score? How would you use it?

What is ‘tuning’ in ML?

129

What is boosting in Machine Learning?

Tell us how do you ensure you're not overfitting with a model?

167

What is a Confusion Matrix?

117

What according to you, is more important between model accuracy and model performance?

172

Tell me how is knn different from k-means clustering?

113

Explain the Genetic Programming in Machine Learning?

What is a boltzmann machine?

183

When should one use mean absolute error over root mean square error as a performance measure for regression problems?

166

Why is python so good?

109

What is a seq2seq model?

144

What is the best language to learn machine learning?

Explain what is precision and Recall?

102

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