Comment

Comment by Ilan Chamovitz on April 17, 2018 at 2:29pm

Hi Vincent, good article. Please consider including a reference/credits at the bottom, in figures ;-).

If they are shared there will be a reference to the website. 

Comment by TRR on August 22, 2017 at 1:02am

Is Random forest part of Decision Trees in the above diagram?

Comment by M'hamed Bilal ABIDINE on June 13, 2017 at 12:47pm

Hi!

I'm agree with Dragos, the Neural networks is also used for Classification task !

Comment by Tony Pellerin on May 28, 2017 at 3:37am

Hello Vincent

Thank you for this article (and all the others!)
Shall we include reinforcement learning as another ML category?

Comment by Mbaye Babacar GUEYE on April 11, 2017 at 10:46pm

Hi!

I'm agree with Dragos.

Comment by Lance Norskog on February 28, 2017 at 4:59pm

The "Three Cs": Classification, Cooccurrence, Clustering. Isn't regression an implementation of classification?

Where are recommenders?

Comment by Dragos Bandur on February 16, 2017 at 8:02am

Hello Vincent,

I follow with interest your posts for their diversity. This diagram is very interesting and, if I may suggest, should include deep learning as a link between unsupervised and supervised learning.

Also, not all neural networks should go under supervised learning: I would add self-organizing (e.g. Kohonen) networks under unsupervised learning.

Comment by Dragos Bandur on February 16, 2017 at 7:59am

Hello Alind,

Logistic Regression is within the GLM under Regression

Comment by Oscar Wijsman on February 11, 2017 at 5:09am

A decision tree gives a description of the data. The resulting classification tree can be an input for making a decision. A nice article on decision tree classifiers is this one http://mines.humanoriented.com/classes/2010/fall/csci568/portfolio_... 

Comment by Alind Agrawal on February 8, 2017 at 9:00am

Where Logistic Regression would fall in this diagram?

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