Machine Learning Explained in 2 minutes

Machine learning is a tool that is used to extract information from data. The most common machine learning algorithms automate processes by generalizing "some rules" based on some examples. In more general terms, the machine learning algorithm is given pairs of inputs and desired outputs, and the algorithm finds a way to produce the desired output given some unseen inputs. This is called supervised learning because the user "supervises" the machine learning algorithm by giving it the desired output for each learned example. Unsupervised learning is the second type of machine learning algorithm where input data is known, but no output data is given to the algorithms.