#Apress Source Code
This repository accompanies [*Machine Learning Projects for .NET Developers*](http://www.apress.com/9781430267676) by Mathias Brandewinder (Apress, 2015).
Download the files as a zip using the green button, or clone the repository to your machine using Git.
##Releases
Release v1.0 corresponds to the code in the published book, without corrections or updates.
##Contributions
See the file Contributing.md for more information on how you can contribute to this repository.
Machine Learning Projects for .NET Developers 源代码
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2017-01-26
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收藏 19.03MB ZIP 举报 
machine-learning-projects-for-dot-net-developers-master.zip （99个子文件） 
machine-learning-projects-for-dot-net-developers-master 
contributing.md 677B
LICENSE.txt 1KB
9781430267676.jpg 11KB machine-learning-projects-for-dot-net-developers-master chapter-3 DataExploration DataExploration.sln 992B DataExploration WorldMap.fsx 2KB packages.config 576B app.config 416B DataExploration.fsproj 5KB StackOverflow.fsx 4KB World.fsx 2KB chapter-8 Digits-Revisited Digits-Revisited.sln 995B Data validationsample.csv 897KB trainingsample.csv 8.72MB Digits-Revisited Logistic.fsx 3KB packages.config 720B Digits-Revisited.fsproj 5KB SVM.fsx 1KB Tuning.fsx 3KB NeuralNetwork.fsx 2KB chapter-4 Regression packages.config 622B Script.fsx 4KB app.config 652B algebra.fsx 6KB Regression.sln 966B day.csv 56KB MathNet.Numerics.MKL.dll 41MB Regression.fsproj 4KB libiomp5md.dll 1.08MB chapter-7 Game Game Game.fsproj 4KB Brains.fs 2KB Game.fs 2KB Rendering.fs 1KB App.config 182B Program.fs 2KB Headless.fsx 2KB Game.sln 1KB ModifiedGame Brains.fs 3KB ModifiedGame.fsproj 3KB Game.fs 2KB Rendering.fs 1KB App.config 684B Program.fs 2KB Headless.fsx 2KB LICENSE 1KB chapter-1 DigitsRecognizer Visualization Visualization.fsproj 3KB Script.fsx 2KB DigitsRecognizer.sln 2KB CSharp Program.cs 861B IClassifier.cs 199B FunctionalExample.cs 1KB ManhattanDistance.cs 694B BasicClassifier.cs 1KB Properties AssemblyInfo.cs 1KB CSharp.csproj 3KB App.config 182B Observation.cs 423B IDistance.cs 120B DataAccess.cs 869B Evaluator.cs 703B Data validationsample.csv 897KB trainingsample.csv 8.72MB FSharp Script.fsx 2KB FSharp.fsproj 3KB chapter-5 Charts 
projections-3-4.png 25KB component-3-4.png 38KB Thumbs.db 45KB clusters-after-normalization.png 18KB projections-1-2.png 24KB final-clusters.png 17KB component-1-2.png 36KB Unsupervised Unsupervised.sln 983B Unsupervised KMeans.fs 2KB packages.config 372B PCA.fs 2KB Unsupervised.fsproj 4KB Script.fsx 6KB app.config 416B userprofiles-toptags.txt 109KB Miscellaneous.fsx 4KB PCA-demo.fsx 3KB Recommendations.fsx 4KB PCA.fsx 4KB .gitignore 3KB chapter-2 SpamOrHam SpamOrHam.sln 974B SpamOrHam SpamOrHam.fsproj 3KB Set-Seq-Array.fsx 1KB Script.fsx 1KB NaiveBayes.fs 2KB NaiveBayes.fsx 6KB Data SMSSpamCollection 467KB chapter-6 Titanic Titanic.fsproj 3KB Feature-Learning.fsx 3KB Tree.fs 7KB packages.config 135B Stumps.fsx 5KB Titanic-Tree.fsx 4KB titanic.csv 59KB Titanic.sln 960B README.md 534B资源评论
qiangchong20092017-09-27非常好，难得的.Net下关于机器学习的资料
