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Converting the code from "Machine Learning in Action" from Python to F#
F# Puppet
branch: master

Simplified nonZeroes function

Removed fold from non-zero function in SVD, replaced by Array
comprehension.
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MachineLearningInAction
.gitattributes added .gitignore and .gitattributes
.gitignore Setup unit tests project (NUnit, FsUnit)
readme.txt Update readme.txt

readme.txt

Machine Learning in Action, in F#

This project is inspired by the book "Machine Learning in Action" by Peter Harrington, published at Manning Publications Co.:
http://www.manning.com/pharrington/
My goal is to convert the book samples from Python to F#, in a functional style.
The project page contains links to blog posts which provide some explanation on the algorithms and coding approach:
http://mathias-brandewinder.github.com/Machine-Learning-In-Action/
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