Skip to content
This repository has been archived by the owner. It is now read-only.
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
c01
 
 
 
 
 
 
 
 
 
 

Statistics for Machine Learning in Go

This repository aims to contain the code snippets of the book Statistics for Machine Learning of Packt but written in Go, rather than Python and R, in order to experiment, how Go can be used for this purpose.

Implementation

The snippets are implemented as follow:

  • All the code snippets are written in Go example functions
  • Each chapter is package, whose names is prefixed by c (of chapter) and follow with 2 digits which represent the number of the chapter.
  • It uses external dependencies, as the goal is to experiment with Go package which can provide functionalities for statistics and machine learning as the ones used in the book for python an R and when the Go standard library doesn't provide them. Those dependencies are currently informed using Go dep.

License

All the source code keeps the same license as the original source written in Python and R, although I haven't been able to find under which terms the sources are released, the book is under the Packt Publishing Copyright, so the contest of this repository doesn't aim nor change them and don't try to reproduce any part of the book, just only used the examples to experiment how the Go language looks like for Statistics Machine Learning calculation.

In case that there is any problem legally with this work, don't hesitate to open an issue.

About

Snippets of code of the book Packt Statistics for Machine Learning written in Go

Resources

Releases

No releases published

Packages

No packages published

Languages