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 }

Comparision between Machine Learning and Big Data?

123

What is the general principle of an ensemble method and what is bagging and boosting in ensemble method?

What is pca in ml?

115

What Is The Difference Between Bias And Variance?

136

What is a binary classification in machine learning?

What is machine learning in artificial intelligence?

Explain latent dirichlet allocation (lda).

112

Why ensemble learning is used?

102

Explain the Algorithm Technique of Transduction in Machine Learning?

101

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

What do you mean by Inductive Logic Programming (ILP)?

102

What is the difference between supervised and unsupervised machine learning?

129

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

What’s the trade-off between bias and variance?

111

Explain how do you think google is training data for self-driving cars?

155

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