Well Defined Learning Problem

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 in tasks T, as measured by P, improves with experience E.

Features in a Learning Problem

• The class of tasks (T)
• The measure of performance to be improved (P)
• The source of experience (E)

Examples of Well Defined Learning Problem

Checkers Learning Problem

• Task (T): Playing Checkers
• Performance Measure (P): Percent of games won against opponents.
• Training Experience (E): Playing practice games against itself.

Handwriting Recognition Learning Problem

• Task (T): Recognizing and classifying handwritten words within images.
• Performance Measure (P): Percent of words correctly classified.
• Training Experience (E): A dataset of handwritten words with given classifications.

Robot Driving License Problem

• Task (T): Driving on public four-lane highways using vision cameras.
• Performance Measure (P): Average distance travelled before an error (as judged by a human observer).
• Training Experience (E): A sequence of images and steering commands recorded while observing a human driver.

This tutorial is originally published at - https://www.asquero.com/article/well-defined-learning-problem/

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Advantages and Disadvantages of Machine Learning - https://www.asquero.com/article/advantages-and-disadvantages-of-machine-learning