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 unsupervised learning?

How do you control for biases?

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

129

Explain the various benefits of r language?

Why data cleansing is important in data analysis?

What are the two main components of the hadoop framework?

What are confounding variables?

132

Differentiate between data science, machine learning and ai.

Give examples of machine-to-machine communications?

What is root cause analysis?

164

Compare sas, r and python programming?

168

Give me an examples of nosql architecture?

What is logistic regression? State an example when you have used logistic regression recently.

182

Explain the steps in making a decision tree.

134

What do you understand by algorithm independent machine learning?

Un-Answered Questions { AI Machine Learning }

What do you understand by the confusion matrix?

Tell us what kind of problems does regularization solve?

What is an imbalanced dataset? Can you list some ways to deal with it?

122

Explain me what is machine learning?

What is A/B Testing?

143

What are the components of relational evaluation techniques?

151

What is the bias-variance decomposition of classification error in the ensemble method?

143

Explain the Genetic Programming in Machine Learning?

What's the “kernel trick” and how is it useful?

What is a seq2seq model?

138

What language does google use for machine learning?

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

What is the “kernel trick” and how is it useful?

119

What is sequence classification?

167

How does machine learning differ from deep learning?

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