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Machine Learning Projects for .NET Developers
Mathias Brandewinder
€ 103.95
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Description for Machine Learning Projects for .NET Developers
Paperback. Num Pages: 300 pages, 84 black & white illustrations, biography. BIC Classification: UYQM. Category: (P) Professional & Vocational. Dimension: 186 x 257 x 18. Weight in Grams: 594.
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. ... Read more
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. ... Read more
Product Details
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Format
Paperback
Publication date
2015
Condition
New
Number of Pages
300
Place of Publication
Berlin, Germany
ISBN
9781430267676
SKU
V9781430267676
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Mathias Brandewinder
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 ... Read more
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