Machine Learning Projects for .NET Developers
(Sprache: Englisch)
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...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
90.94 €
45 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Machine Learning Projects for .NET Developers “
Klappentext zu „Machine Learning Projects for .NET Developers “
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.
Inhaltsverzeichnis zu „Machine Learning Projects for .NET Developers “
IntroductionChapter 1: Machine Learning Warm-up: Building an Optical Character Recognition System from Scratch
Chapter 2: Spam or Ham? Software that Learns from Text
Chapter 3: The Joy of Type Providers: Using R from F#
Chapter 4: Decision Trees and Random Forests: Making Predictions from Incomplete Data
Chapter 5: Building a Smart Recommendation Engine
Chapter 6: Looking for Patterns in Data with Unsupervised Machine Learning
Chapter 7: Predicting a Number
Chapter 8: Spotting Trends and Anomalies: Analyzing Trending Topics on Twitter
Chapter 9: Where to Go From Here
Appendix
Autoren-Porträt von 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 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.
Bibliographische Angaben
- Autor: Mathias Brandewinder
- 2015, 1st ed., XIX, 300 Seiten, Maße: 18,4 x 25,3 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1430267674
- ISBN-13: 9781430267676
Sprache:
Englisch
Kommentar zu "Machine Learning Projects for .NET Developers"
0 Gebrauchte Artikel zu „Machine Learning Projects for .NET Developers“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Machine Learning Projects for .NET Developers".
Kommentar verfassen