MachineLearningAlgorithms

Documentation on algorithms, for machine learning. Produced by team at GoldSax Consulting. Source code for the algorithms in  Coré:- C, C++, C#, D, Java.  Added Core: Python 2.7.3, Scala, Groovy 2.2 – Grails 2.3.3, PHP 5.3.10, Perl V5.14.2, Ruby 1.9.3, Action Script 3, JavaScript, Jquery.  Functional Core: F#, Lisp, Clojure, Prolog, Erlang 5.01, Ada, Eiffel  Math/Stat: R, MATLAB , Octave 3.2.4, Mathematica, MathStatica, ML, Haskell, Q, Pure, AMPL, APL, go, AUTOCAD 11.  Compilers/VM: GCC, GDC, JVM, Cython, PyPy, VM, CLISP, GNU/SWI/2/ Prolog 1.4.2.  Architecture Description Languages: IDEF, BPMN, BPML, BPQL, ACME, COSA, Darwin, Rapide, Archimate, AADL, UML, SysML.  Declarative/DRL/DSL: Erlang, Drools, Elixir, IBM ILOG, CPLEX CEP, DRL (Decision Representation Language), E.P.L (Event Processing Language), EP-SPARQL, ANSI SQL, ETL, PL-SQL, T-SQL, CQL, HiveQL, Pig Latin can be found in my GitHub Repository. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.