Supervised Machine Learning: Predispositions, Practices and Perspectives

Abstract

Technology is growing rapidly in today’s fast moving world and everything is now expected to be done automatically by machine or bots instead of being driven manually by humans be it at office, home or outside markets. In every field, the intention of human is to reduce manual efforts and drive fastest results with high accuracy and efficiency.

Machine learning is one such growing technology which is being adopted now a days in every field for improving efficiency. It is a subset of Artificial Intelligence (AI)   which learns automatically by analysing data, repeatedly by identifying patterns, without any human intervention.

Supervised , Unsupervised and Reinforcement Learning are the three major types of techniques used in Machine Learning. In this paper we have explained various Supervised Machine Learning techniques.