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Machine Learning Summarized in One Picture

Here is a nice summary of traditional machine learning methods, from Mathworks.

I also decided to add the following picture below, as it illustrates a method that was very popular 30 years ago but that seems to have been forgotten recently: mixture of Gaussian. In the example below, it is used  to separate the data set into two clusters. Note that you can use a mixture of any distributions, not just Gaussian, for instance, (data-driven) estimated distributions such as those based on kernel density estimation.

Also, I would put neural networks in the supervised learning category.

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Comment by Edyta Brzychczy on February 6, 2017 at 9:49pm
I have only one question to that drawing. If decision trees shouldnt be also in classification part? From my point of you they are more often used for classification than regression task.

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