This article is part 2 of my Popular Machine Learning Interview questions. Here I feature more questions I usually see asked during interviews. I shall note that this isn't an interview prep guide nor a conclusive list of all questions. Rather, you should use this article as a refresher for your Machine Learning knowledge. I suggest reading the question then try to answer it yourself before reading the answer.

What are different types of Machine Learning and briefly explain them? The expected answer should mention supervised, unsupervised, and reinforcement learning. Supervised Learning You give the algorithm labeled data and the algorithm has to learn from it and figure out how to solve future similar problems. Think of it as if you're giving the algorithm problems and answers, the algorithm has to learn how these problems were solved in order to solve future problems in a similar manner. This is like the above example where the bank learns from your habits which credit card transactions are legit and which are fraudulent.