Mastering .NET Machine Learning.pdf

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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
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