What is the difference between bayes and naive bayes?
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What is regularization? Can you give some examples of regularization techniques?
Is machine learning hard?
Explain what is the difference between inductive machine learning and deductive machine learning?
Tell us how do classification and regression differ?
What kind problems are solved by regularization?
Tell us how do you handle missing or corrupted data in a dataset?
What's the f1 score? How would you use it?
Explain how do you handle missing or corrupted data in a dataset?
Explain the Algorithm Technique of Transduction in Machine Learning?
Why do we need a validation set and test set? What is the difference between them?
Can you name some popular machine learning algorithms?
Why is naive bayes used for text classification?
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