3 Types of Machine Learning Algorithms to Read now

Machine learning algorithms are one of the hot topics in today’s world. We are started our journey from Mainframe computers to PC and now in CLOUD computing. What is machine learning?

What is Machine learning

Machine learning is a subfield of computer science that evolved from the study-of-pattern- recognition and computational-learning-theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a “Field of study that gives computers the ability to learn without being explicitly programmed.”

Types of  Machine Learning Algorithms
Types of Machine Learning Algorithms

Related: Commonly Used Languages in Machine Learning

Three types of machine learning algorithms

  1. Supervised learning: This algorithm consist of a target / outcome variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables).
  2. Un-supervised learning: In this algorithm, we do not have any target or outcome variable to predict / estimate.  It is used for clustering population in different groups
  3. Reinforcement learning: Using this algorithm, the machine is trained to make specific decisions. It works this way: the machine is exposed to an environment where it trains itself continually using trial and error.


Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.