I have data and a have a problem. What are the best practices when deciding on what type of model to use for a specific problem? Flowcharts? Any no-brainers? Trial and error?
Microsoft provides a few hints how to choose a ML algorithm depending on the prediction problem (regressio, classification, etc).<p><a href="http://download.microsoft.com/download/A/6/1/A613E11E-8F9C-424A-B99D-65344785C288/microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf" rel="nofollow">http://download.microsoft.com/download/A/6/1/A613E11E-8F9C-4...</a>