Machine Learning Projects for .NET Developers

Authors: Brandewinder, Mathias

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  • 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.

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eBook $39.99
price for USA
  • ISBN 978-1-4302-6766-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Softcover $49.99
price for USA
  • ISBN 978-1-4302-6767-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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 you need to get started. If you’re already familiar with F#, this is your chance to put the language into action in an exciting new context.

In a series of fascinating projects, you’ll learn how to:

  • Build an optical character recognition (OCR) system from scratch
  • Code a spam filter that learns by example
  • Use F#’s powerful type providers to interface with external resources (in this case, data analysis tools from the R programming language)
  • Transform your data into informative features, and use them to make accurate predictions
  • Find patterns in data when you don’t know what you’re looking for
  • Predict numerical values using regression models
  • Implement an intelligent game that learns how to play from experience

Along the way, you’ll learn fundamental ideas that can be applied in all kinds of real-world contexts and industries, from advertising to finance, medicine, and scientific research. While some machine learning algorithms use fairly advanced mathematics, this book focuses on simple but effective approaches. If you enjoy hacking code and data, this book is for you.

About the authors

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 Business, Economics and Operations Research, and fell in love with programming shortly after arriving in the Silicon Valley. He has been developing software professionally since the early days of .NET, developing business applications for a variety of industries, with a focus on predictive models and risk analysis.

Table of contents (9 chapters)

Buy this book

eBook $39.99
price for USA
  • ISBN 978-1-4302-6766-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Softcover $49.99
price for USA
  • ISBN 978-1-4302-6767-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning Projects for .NET Developers
Authors
Copyright
2015
Publisher
Apress
Copyright Holder
Mathias Brandewinder
eBook ISBN
978-1-4302-6766-9
DOI
10.1007/978-1-4302-6766-9
Softcover ISBN
978-1-4302-6767-6
Edition Number
1
Number of Pages
XIX, 300
Number of Illustrations and Tables
84 b/w illustrations
Topics