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Monday, April 24, 2017

Which ML Algorithms to Use?

A somewhat unusual thing to see from SAS.  In the SAS blog, a cheat sheet for using machine learning algorithms for the beginner.   Largely non technical.  Nicely done piece that worth linking to. See also many such cheat sheets by DSC (Data Science Central).  That provide similar approaches. In the link below, a chart that summarizes it all, not complete, but provides a very good overview of the space.  Click through for a larger and expandable chart..

Which machine learning algorithm should I use?  
By Hui Li on Subconscious Musings  

This resource is designed primarily for beginning data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest.

A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which algorithm should I use?” The answer to the question varies depending on many factors, including:

The size, quality, and nature of data.
The available computational time.
The urgency of the task.
What you want to do with the data.

Even an experienced data scientist cannot tell which algorithm will perform the best before trying different algorithms. We are not advocating a one and done approach, but we do hope to provide some guidance on which algorithms to try first depending on some clear factors.   ... " 

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