Mastering .NET machine learning : master the art of machine learning with .NET and gain insight into real-world applications / by Dixon, Jamie, Safari Books Online

Table of Contents: “…; Getting ready for machine learning; Setting up Visual Studio; Learning F#; Third-party libraries; Math.NET; Accord.NET; Numl; Summary; Chapter 2: AdventureWorks Regression; Simple linear regression; Setting up the environment; Preparing the test data; Standard deviation…”
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Mastering . NET Machine Learning. by Dixon, Jamie, ProQuest Ebook Subscriptions

Table of Contents: “…-- Getting ready for machine learning -- Setting up Visual Studio -- Learning F♯ -- Third-party libraries -- Math.NET -- Accord.NET -- Numl -- Summary -- Chapter 2: AdventureWorks Regression -- Simple linear regression -- Setting up the environment -- Preparing the test data -- Standard deviation -- Pearson's Correlation -- Linear regression -- Math.NET -- Regression try 1 -- Regression try 2 -- Accord.NET -- Regression -- Regression evaluation using RSME -- Regression and the real world -- Regression against actual data -- AdventureWorks app -- Setting up the environment -- Updating the existing web project -- Implementing the regression -- Summary -- Chapter 3: More AdventureWorks Regression -- Introduction to multiple linear regression -- Intro example -- Keep adding x variables? …”
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