AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

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What is unsupervised learning?

How do you control for biases?

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

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?

Differentiate between data science, machine learning and ai.

Give examples of machine-to-machine communications?

What is root cause analysis?

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Compare sas, r and python programming?

Give me an examples of nosql architecture?

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

Explain the steps in making a decision tree.

What do you understand by algorithm independent machine learning?

Un-Answered Questions { AI Machine Learning }

Differentiate between data science, machine learning and ai.

What is roc?

How can you ensure that you are not overfitting with a particular model?

What are the 3 types of ai?

Tell us what do you think of our current data process?

How machine learning is deployed in real world scenarios?

What is the most frequent metric to assess model accuracy for classification problems?

What is sequence learning?

Why is python best for machine learning?

How will you explain a linked list and an array?

What is type I vs type ii error?

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What is the box-cox transformation used for?

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

How would you screen for outliers and what should you do if you find one?

Explain the benefit of naive bayes in machine learning?

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