What is machine learning?
Two definitions of machine learning are given here.
Arthur Samuel described it as: "Machine learning gives computers the ability to learn without explicit programming." This is an old, informal definition.
Tom Mitchell gave a more modern definition: "A computer program is considered to learn from experience E about a certain type of task T and performance measurement P experience, if its task performance in T (measured by P) Improve with experience E."
For example: playing checkers.
E=The experience of playing many checkers games.
T=The task of playing chess.
P=The probability that the program wins the next round.
Generally speaking, any machine learning problem can be divided into two categories:
supervised learning and unsupervised learning.
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