Machine Learning Projects for .NET Developers by Mathias Brandewinder (English)

Description: Machine Learning Projects for .NET Developers by Mathias Brandewinder Estimated delivery 3-12 business days Format Paperback Condition Brand New Description "User level: intermediate-advanced"--Back cover. Publisher Description 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. Youll 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 youre new to F#, this book will give you everything you need to get started. If youre 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, youll 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 intoinformative features, and use them to make accurate predictionsFind patterns in data when you dont know what youre looking forPredict numerical values using regression modelsImplement an intelligent game that learns how to play from experienceAlong the way, youll 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. Author Biography 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. Details ISBN 1430267674 ISBN-13 9781430267676 Title Machine Learning Projects for .NET Developers Author Mathias Brandewinder Format Paperback Year 2015 Pages 300 Edition 1st Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:140356933; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2025-01-18T03:42:59.000Z

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