Machine Learning Basic Q&A.

Ans. ML is about building systems that can learn from data. Learning means getting better at some task, given some performance measurse. A labeled training set is a training set that contains the desired solution (a.k.a alabel) for each instance. The two most common supervised tasks are regression and classification. Reinforcement Learning is likely to perform best if we want a robot to learn to walk in various unknown terrains, since this is typically the type of problems as a supervised or semi-supervised learning problem, but it would be less natural.