Machine learning: Types of Machine learning Machine learning is the advanced technology in which an AI model is trained from data and make real life decisions. This article covers the three main part of machine learning: supervised, unsupervised and reinforcement learning.

Abstract

In today’s digital era, machine learning has become a vital part of modern technology. Machine learning refers
to design of algorithm or system that can make predictions and decisions on its own by extracting data. From the
recommendation systems on platforms like Youtube or Netflix to spam filtering email, Machine learning models
are used. It’s main goal is to develop a system that don’t need explicit programming.
As the world is constantly revolving and the use of data is continues to grow, it is very essential for IT students
and professionals to learn machine learning to keep up with the world. Among its different approaches,
unsupervised, supervised and reinforcement learning are that ones that makes the basis of machine learning
model.