Which Machine Learning to use? A #cheatsheet

In current teams driving data science, there has been an on-slot of discussions around which machine learning method to use and which algorithms perform optimally for which solutions.

There are several dependencies to make that decision. Some are primarily linked to:
1. Type of data: such as quantity, quality and varsity in data.
2. Resources for the task
3. Expected time for the task
4. Expectation from the data

Our friends at SAS has put together a great cheet sheet that could work as a great starting point.

Chart picked from: SAS Blog

Originally Posted at: Which Machine Learning to use? A #cheatsheet

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