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Supervised and Non-Supervised Learning

In Machine Learning , "Supervised" and "Non-Supervised" are often used.

Many methods are used as one side. But Neural Network and MT method are used for both.

Supervised Learning

If there is the data "Y" and "X". It is Supervised Learning.

Regression Analysis , Discriminant Analysis , Decision Tree and so on.


Non-Supervised Learning

Non-Supervised Learning is used to find the characteristics of the data.

Cluster Analysis , Principal Component Analysis , Self Organizing Map and so on.


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