First Post! The Types of Machine Learning

December 19, 2016

Here’s what I learned today:

Types of Machine Learning

There are two main types of Machine Learning:

  1. Supervised
  2. Unsupervised

You kinda get a general sense for what these two categories might entail, but let’s talk about them abit more.

1. Supervised Machine Learning

In supervised learning, we are given a data set and already know what our correct output should look like .. this usually means we have some sort of hunch about the relationship between the input and the output.

The Supervised category is further divided into 2 subcategories:

2. Unsupervised Machine Learning

Unsupervised learning, on the other hand, allows us to approach problems with little or no idea what our results should look like. We can derive structure from data where we don’t necessarily know the effect of the variables.

We can derive this structure by clustering the data based on relationships among the variables in the data.

With unsupervised learning there is no feedback based on the prediction results, i.e., there is no teacher to correct you. It’s not just about clustering. For example, associative memory is unsupervised learning.

There are a bunch of categories of unsupervised machine learning: