Machine learning (ML) is about using a set of statistical and mathematical algorithms to perform tasks such as concept learning, predictive modeling, clustering, and mining useful patterns can be performed. The ultimate goal is to improve the learning in such a way that it becomes automatic, so that no more human interactions are needed, or to reduce the level of human interaction as much as possible.
We now refer to a famous definition of ML by Tom M. Mitchell (Machine Learning, Tom Mitchell, McGraw Hill, 1997), where he explained what learning really means from a computer science perspective:
"A computer program is said to learn from experience E with respect to some class of tasks T and performance ...
