The official title of this free book available in PDF format is Machine Learning Cheat Sheet. But it's more about elements of machine learning, with a strong emphasis on classic statistical modeling, and rather theoretical - maybe something like a rather comprehensive, theoretical foundations (or handbook) of statistical science. Anyway, very interesting, and it's free. See table of content screenshot below. …

This article presents various ways of measuring the popularity or market share of software for analytics including: Alpine, Alteryx, Angoss, C / C++ / C#, BMDP, FICO, IBM SPSS Statistics, IBM SPSS Modeler, InfoCentricity Xeno, Java, JMP, KNIME, Lavastorm, Mathworks’ MATLAB, Megaputer’s PolyAnalyst, Minitab, NCSS, Python, R, RapidMiner, SAS, SAS Enterprise Miner, Salford Predictive Modeler (SPM) etc., SAP KXEN, TIBCO Spotfire, Stata, Statistica, Systat, WEKA / Pentaho. …

Interesting comparison table and comments, regarding the following statistical packages: R, MATLAB, SAS, STATA and SPSS. I wish Statistica would be included. The table tells you which statistical methods are available in each package. The list of statistical methods is itself impressive. Note that Jackknife (a resampling method in the table below) has nothing to do with …