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

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

Tell us how would you approach the “netflix prize” competition?

Tell me what are your favorite use cases of machine learning models?

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

Tell us what are some differences between a linked list and an array?

145

Explain me how would you handle an imbalanced dataset?

Explain me what's the trade-off between bias and variance?

101

Can you name some feature extraction techniques used for dimensionality reduction?

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

113

Tell us how do bias and variance play out in machine learning?

Tell us an example where ensemble techniques might be useful?

Can you explain what is the difference between inductive machine learning and deductive machine learning?

151

Tell us what kind of problems does regularization solve?

Tell us what is decision tree classification?

197

Do you know what is kernel svm?

Un-Answered Questions { AI Machine Learning }

What is Perceptron in Machine Learning?

233

What is symbolic machine learning?

122

Explain the bias-variance tradeoff.

What do you understand by selection bias?

196

Explain the Algorithm Technique of Semi-supervised Learning in Machine Learning?

What is the difference between inductive and deductive learning?

150

What do you understand by machine learning?

117

Why is Python better for machine learning?

312

Do you know which is more important to you– model accuracy, or model performance?

what is the function of ‘unsupervised learning’?

Explain the difference between a generative and discriminative model?

What do you mean by parametric models?

Explain the Algorithm Technique of Supervised Learning in Machine Learning?

Do gradient descent methods at all times converge to a similar point?

129

Explain the topics in machine learning?

146

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