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