Supervised Learning

From Deep_Learning_Machine_Learning_and_Artificial_Intelligence
Jump to: navigation, search

In supervised Learning, the machine is trained with traning examples, in which each sample is a pair of features and a desired output value. That is, the machine is given right answer, and machine tries to figure out how to get the right answer out of the features.

Examples:

  • Finding relation between house properties (size, number of bedrooms, etc) and the price of the house.
  • Distinguishing malignant (cancer) and benign (harmless).
  • Given emails labeled as spam/not spam, learn a spam filter :
  • Given a dataset of patients diagnosed as either having diabetes or not, learn to classify new patients as having diabetes or not.

Reference

Personal tools
Namespaces

Variants
Actions
Navigation
Toolbox