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What is regularization? Can you give some examples of regularization techniques?
Do you know what's the “kernel trick” and how is it useful?
Do gradient descent methods at all times converge to a similar point?
Choose any machine learning algorithm and describe it.
Is naive bayes good?
Tell us which one would you prefer to choose – model accuracy or model performance?
What is the benefit of naive bayes in machine learning?
What are some methods of reducing dimensionality?
What are the five popular algorithms we use in machine learning?
What is svm algorithm?
What are the three stages to build the hypotheses or model in machine learning?
Explain why Navie Bayes is so Naive?
What are the similarities and differences between bagging and boosting in machine learning?
When should you use classification over regression?
Which method is frequently used to prevent overfitting?
