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?

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

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

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?

146

Tell us what kind of problems does regularization solve?

Tell us what is decision tree classification?

187

Do you know what is kernel svm?

Un-Answered Questions { AI Machine Learning }

Explain how do you handle missing or corrupted data in a dataset?

How much do ai programmers make?

229

What is A/B Testing?

143

What are the important data pre-processing techniques in python machine learning?

What is a boltzmann machine?

179

What is bagging in Machine Learning?

103

What is Model Selection in Machine Learning?

129

What is the sigmoid function in machine learning?

114

How many types are available in machine learning?

187

What is data augmentation in ml?

105

How will you explain machine learning to a layperson?

Why are vectors and norms used in machine learning?

110

How do deductive and inductive machine learning differ?

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

Differentiate between statistics and ML?

145

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