Machine Learning Projects for .Net Developers [Audiobook] download free by Mathias Brandewinder

Machine Learning Projects for .Net Developers Audiobook download free by Mathias Brandewinder
  • Listen audiobook: Machine Learning Projects for .Net Developers
  • Author: Mathias Brandewinder
  • Release date: 2015/12/29
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9781430267676
  • Rating: 8.86 of 10
  • Votes: 299
  • Review by: Axel Najera
  • Review rating: 7.85 of 10
  • Review Date: 2018/11/13
  • Duration: 3H43M11S in 256 kbps (60 MB)
  • Date of creation of the audiobook: 2018-08-08
  • You can listen to this audiobook in formats: FLAC, MPEG4, MP3, WMA, AIFF, MP4, WAV (compression BZ, CAB, RAR, ZIP)
  • Total pages original book: 300
  • Includes a PDF summary of 26 pages
  • Duration of the summary (audio): 19M13S (5.2 MB)
  • Description or summary of the audiobook: 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 scratchCode a spam filter that learns by exampleUse 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 predictionsFind patterns in data when you don't know what you're looking forPredict numerical values using regression modelsImplement an intelligent game that learns how to play from experienceAlong 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.
  • Other categories, genre or collection: Artificial Intelligence, Operating Systems, Software Engineering, Machine Learning, Computer Science, Microsoft Programming
  • Download servers: Uploaded, Dropbox,, FileCupid, BitShare, 4Shared, FileServe. Compressed in BZ, CAB, RAR, ZIP
  • Format: Paperback
  • Approximate value: 50.37 USD
  • Dimensions: 178x254x16mm
  • Weight: 574g
  • Printed by: aPress
  • Published in: Berlin, Germany

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