Skip to content

Mathematica implementations of machine learning algorithms used for prediction and personalization.

License

Notifications You must be signed in to change notification settings

GaussBackyard/MathematicaForPrediction

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Mission statement

This open source project is for Mathematica (Wolfram Language) implementations of statistical and Machine Learning algorithms that can be used for data analysis, forecast, prediction, and recommendation systems.

License matters

All code files and executable documents are with the license GPL 3.0. For details see http://www.gnu.org/licenses/ .

All documents are with the license Creative Commons Attribution 4.0 International (CC BY 4.0). For details see https://creativecommons.org/licenses/by/4.0/ .

Organization

The algorithms implementations are given in Mathematica package files ("*.m").

Explanations or presentations about the algorithms are given in Mathematica notebook files ("*.nb"), in PDF files, or in Markdown files.

Here are some fairly unique to the Mathematica / WL landscape algorithms:

The implemented algorithms are (usually) well documented. There is a fair amount of documents with related applications. There are also monadic programming implementations closely related to the "main directory" packages.

Some of the packages listed above have:

(The code in the R directory in this repository though is not updated, it is just kept for references. See the corresponding, actively worked on, dedicated repository R-packages.)

Associated blog (at WordPress)

There is a blog associated with this project, see MathematicaForPrediction at WordPress.


Support & appreciation

"Buy Me A Coffee"

😅 ☕️ 😀


Anton Antonov
04.07.2013, Florida, USA
11.01.2017, Florida, USA (updated)
09.17.2019, Florida, USA (updated)
29.10.2022, Florida, USA (updated)

About

Mathematica implementations of machine learning algorithms used for prediction and personalization.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Mathematica 87.5%
  • R 8.7%
  • Java 2.2%
  • Lua 1.5%
  • AMPL 0.1%