Редактирование: Machine learning (раздел)

== Types of Machine Learning ==

Machine Learning is split into 2 categories; Supervised and Unsupervised Learning. 

=== Supervised Learning ===

Supervised learning can be described as a type of machine learning where we already know what the output should look like. 
If we know the relationship of X and Y (as an example), this gives us a basis for knowing what the output will look like.

==== Categories of Supervised Learning ====

'''Regression'''

If we are given a selection of prices of cars relative to their model year, we can find out where a specified model year may result in a specific price.

In order to use a regression problem, we must have a continuous output. Price being the case here.

'''Classification'''

If we are given a selection of variables such as Age and Height, we may wish to group these variables to find out the chance of someone who is perhaps 16 years old, being a certain height or not. 

In order to do this, we must classify or group inputs into categories in order to make an informed prediction.

=== Unsupervised Learning ===

Unsupervised learning is used where we have little or no idea what the results may look like.

With unsupervised learning, data can be clumped or clustered into groups based on the variables in the data. By doing so, we can create new structure from a data set.

It can also be used in the reverse using what is known as "non-clustering" to find specific data from a larger array. An example of non-clustering is the "cocktail party algorithm" which allows you to find structure in a chaotic environment.

A well known example of unsupervised learning is Google news.

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