machine-learning Machine learning and it's classification 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.

This is an older, informal definition.

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:

  1. Supervised learning
  2. Unsupervised learning.