I am starting to examine Machine Learning Platforms for an application. This post is mostly for my own and a few collaborators use. Not complete or just open source. Do not claim to be expert in any of these methods, but have encountered them in a number of very differing machine learning contexts. In some cases used for building a system from the ground up, in other cases reviewing or extending existing modeling efforts. R is not included here, it is more of a programming language than a learning platform. All these are worth examining. Open to alternative ideas.
IBM SPSS Modeler (Which I formerly used as Clementine): http://www-01.ibm.com/software/analytics/spss/products/modeler/
Weka: http://www.cs.waikato.ac.nz/ml/weka/
Also Orange Data Mining http://orange.biolab.si/
And BigML Data Mining: https://bigml.com/how_it_works
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