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Machine Learning Projects for .NET Developers
Mathias Brandewinder
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| #439505 in Books | Apress | 2015-06-29 | 2015-07-01 | Original language:English | PDF # 1 | 10.00 x.68 x7.00l,.0 | File type: PDF | 300 pages | Apress||3 of 3 people found the following review helpful.| Excellent hands-on F#|By AddisonG|I'd dabbled with F# for a while before getting this, but this is the book that really made F# click for me. At least, F# in one of its guises--the explore-it-as-we-go scripted guise. The book is well structured and written in an accessible style. Prose and code are entwined to revel how the developer is thinking as the analysis is built. <|About the Author|Mathias Brandewinder is a Microsoft MVP for F# based in San Francisco, California. An unashamed math geek, he became interested early on in building models to help others make better decisions using data. He collected graduate degrees in Busines
Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If you’re new to F#, this book will give you everything yo...
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