Machine Learning notes

Machine Learning Comments

What is Machine learning

Arthur Samuel described it as : "Machine learning is the science of getting computers 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.

Application of machine learning:

  • Database mining
  • Applications can't program by hand (NLP,CV)
  • Self-customizing programs
  • Understanding human learning

In general, any machine learning problem can be assigned to one of two broad classifications:

  • Supervised learning
  • Unsupervised learning

Supervised Learning