I’ve been preparing to learn Machine Learning for a few days, but always being delayed by some stuffs like building my blog. After beautifying the blog for a long time, I pick up my course today. Today’s course is about the introduction of Machine Learning.
There are two definitions of Machine Learning.
The field of study that gives computers the ability to learn without being explicitly programmed.”
This is an older, informal 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.
Eg: 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.
This is a more modern definition.
