What is Machine Learning?
Two definitions of Machine Learning are offered.
Arthur Samuel described it as: "the field of study that gives computers the ability to learn without being explicitly programmed."
Tom Mitchell provides a more modern definition: "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E."
Example: playing checkers. E = the experience of playing many games of checkers T = the task of playing checkers. P = the probability that the program will win the next game.
In general, any machine learning problem can be assigned to one of two broad classifications:
- supervised learning
- unsupervised learning
Other types of machine learning algorithms:
- Reinforcement learning
- Recommender systems