Supervised and Unsupervised Machine Learning Algorithms

Last Updated on August 20, 2020

What is supervised machine learning and how does it relate to unsupervised machine learning?

In this post you will discover supervised learning, unsupervised learning and semi-supervised learning. After reading this post you will know:

• About the classification and regression supervised learning problems.
• About the clustering and association unsupervised learning problems.
• Example algorithms used for supervised and unsupervised problems.
• A problem that sits in between supervised and unsupervised learning called semi-supervised learning.

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Supervised Machine Learning

The majority of practical machine learning uses supervised learning.

Supervised learning is where you have input variables (x) and an output variable (Y) and you use an algorithm to learn the mapping function from the input to the output.

Y = f(X)

The goal is to approximate the mapping function
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