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 will 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 are new to F#, this book will give you everything you need to get started. If you are already familiar with F#, this is your chance to put the language into action in an exciting new context.
Want to take a look at the code? Check it out on GitHub!
ML Conf, New York City, Apr 15th, 2016: I'll talk MBrace and big data processing, register here!
San Francisco, Feb 9th, 2016: Eugene Chuvyrov and I will discuss Spark and MBrace: register here!
BuildStuff / Vilnius (Lithuania), Nov 18 - 22, 2015: I will be speaking, and running a two-days hands-on workshop on ML and F# at BuildStuff 2015.
DevDay / Krakow (Poland), Sep 16th, 2015: I will be running a one-day hands-on workshop on ML and F# at DevDay 2015. Hope to see you there!
Mountain View, Aug 19th, 2015: I'll be speaking at Hackers & Founders on F# and Machine Learning, register here!
I recommend this book primarily for an intermediate audience, however I will be using it in my introduction to programming classes as well, as I believe with some guidance, this book will spark far more programming discussion and thought than the simpler topics. The book is complete with functioning code and downloadable data sets; a perfect educational tool.
Hello there! I am Mathias Brandewinder, I live in San Francisco, California, where I write code, primarily in .NET. I have been doing that for the past 10 years or so, initially in C#, now mostly in F#, a language I fell in love with around 2010. My other area of interest is math and probability; my background is in Operations Research and Economics, and I enjoy building models to help others make better decisions, using data and math. And if you want to know more, just ping me on Twitter!Follow @brandewinder on Twitter!