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, , 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. /email to provide support at vancekingsaxbe@powerdominionenterprise.com, businessaffairs@powerdominionenterprise.com, For donations please write to fundraising@powerdominionenterprise.com/
forked from VanceKingSaxbeA/MachineLearningAlgorithms
-
Notifications
You must be signed in to change notification settings - Fork 0
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.…
v-supreetha/MachineLearningAlgorithms
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
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.…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published