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Describe a time when you took an unpopular decision.

What sort of problems have you faced with supervised machine learning? How would you overcome them?

What are the essential elements of Naive Bayes and how do you decide on the classification threshold?

What is one of the projects you are super proud of being a part of? Why?

Can you distinguish between the k-means and KNN techniques?

Write a code to implement a hash table in Python

Would you be able to script a utility to reverse strings?

In your own words, how does MapReduce operate?

Can you outline the algorithmic time complexity for training a support vector machine? What would you estimate the time complexity to be for an SVM during the inference stage? How do Linear and RBF kernels influence the computational time complexity of SVMs?

See if you can identify the anagrams among these words - Silent, Listen, Race, Care.