Machine learning, just like regular programming, is a way of telling computers what to do. But instead of telling the computer exactly how to carry out a specific task (say recognizing cats and dogs in pictures), we write a program where the computer can alter some parameters based on the training examples we show it. In this process, called training, it arrives at an implementation that (hopefully) will perform well on the task we ask it to accomplish.