Starting at the basic level, machine learning is a set of tasks working together to solve a problem. It is also a subfield of Artificial Intelligence. Machine learning uses a combination of statistical analysis, mathematics such as linear algebra, and algorithm prediction modeling.

Types of Machine Learning

The following are types of machine learning:

  • Supervised Learning

Supervised learning is a method of using known input to predict a specified output or target. The expected type of out come is feed to our machines, and trained to produce the desired result.

  • Unsupervised Learning

Unsuperivsed learning

Unsupervised learning is a method that uses known input to allow the constructed model to make predictions without any further input on training. The machine learning system or algorithm takes the information it has been given to identify specific patterns.

  • Reinforcement Learning

Reinforcement learning is a compromise between supervised and unsupervised learning. The learning algorithm will adjust to the environment if it performs an action that is favorable.