About This Book

Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0

Set up your business application to start using machine learning techniques

Familiarize the user with some of the more common .NET libraries for machine learning

Implement several common machine learning techniques

Evaluate, optimize and adjust machine learning models

Who This Book Is For

This book is targeted at .NET developers who want to build complex machine learning systems. Some basic understanding of data science is required.

What You Will Learn

Write your own machine learning applications and experiments using the latest .NET Framework, including .NET Core 1.0

Set up your business application to start using machine learning

Accurately predict the future of your data using simple, multiple, and logistic regressions

Discover hidden patterns using decision trees

Acquire, prepare, and combine datasets to drive insights

Optimize business throughput using Bayes Classifier

Discover (more) hidden patterns using k-NN and Naive Bayes

Discover (even more) hidden patterns using k-means and PCA

Use Neural Networks to improve business decision making while using the latest ASP.NET technologies