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.
Contents
Want to take a look at the code? Check it out on GitHub!
256 Shades of Gray
Using Distances to Detect Similarity between Images
Spam or Ham
Automatically detect Spam in text using Bayes Theorem
The Joy of Type Providers
Finding and preparing data, from anywhere
Of bikes and men
Fitting a curve to data with gradient descent
You are not a unique snowflake
Detecting patterns with clustering and principal components analysis
Trees and Forests
Transforming data into informative decision trees
A strange game
Learning from experience with reinforcement learning
Digits, revisited: practical tips
Optimizing and scaling your algorithm code
News & Announcements
Copenhagen, Feb 22-24: I'll be in town for Mini-NDC Copenhagen, with a workshop, a talk, and a presentation at the local user group!
What people are saying
I finally finished reading Machine Learning Projects for .NET Developers by @brandewinder Mind blowing stuff and examples #ML #fsharp
— Matti Petrelius (@mattipet) February 8, 2017
Reading http://t.co/rnZz7NTuXX by @brandewinder so far awesome. Very clearly written, understandable even for a ML noob like me. 😋
— Colin Bull (@colinbul) July 17, 2015
Improved output for excellent @brandewinder Chapter 5 #fsharp #datascience #datamining #machinelearning pic.twitter.com/lv4YJ9cxX5
— Mark Tabladillo (@MarkTabNet) July 5, 2015
Really excited about what's on p.4 of Machine Learning Projects for .NET Devs by @brandewinder http://t.co/bAPd3CpKYB pic.twitter.com/YrBDjNq42w
— Jeremy Clark (@jeremybytes) July 9, 2015
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.
About the author
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!