Hello everyone, this article will be a part of a series of articles on Machine Learning. In this
series, we will take you from the basics of Machine Learning and teach you a few of the famous
algorithms used in Machine Learning. This article will be a soft introduction for those of you
who are not at all familiar with this particular field. So let’s dive in.
What is Machine Learning?
There isn’t a well-accepted definition for Machine Learning but one definition for the term
given by Arthur Samuel in 1959 is “Field of study that gives computers to learn without
explicitly being programmed”. An example of such a task would be automatic spam detection.
Another well-known definition of Machine Learning is “A computer program is said to learn
from experience ‘E’ with respect to some task ‘T’ and some performance measure ‘P’, if its
performance on ‘T’, as measured by ‘P’, improves with experience ‘E’.”