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Saturday, April 05, 2014

Alternative Machine Learning Environments

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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