How Machine Learning works

Example 1:
Handwritten Digit Recognition

Description: Identify a number which is written by a Person

First we need to collect the ways of writing by different people. That will be stored each with identity. Take one number: 2.

Exeperience(E): Collecting the hand written patterns for number 2 by many people. This experience is needed to identity number 2 in the future.
Task(T): Handwritten Digit Recognition
Performance(P): Percentage of digits correctly classified.

Example 2:
Self Driving Vehicles

Exeperience(E): A Sequence of images and steering commands recorded while observing a human driver.
Task(T): Driving on four-lane highways using vision sensors.
Performance(P): Average distance traveled before a human- judged error.

Machine Learning some more examples