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You're reading from  F# for Machine Learning Essentials

Product typeBook
Published inFeb 2016
Reading LevelExpert
Publisher
ISBN-139781783989348
Edition1st Edition
Languages
F#
Tools
Visual Studio
Concepts
Machine Learning
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Author (1)
Sudipta Mukherjee
Sudipta Mukherjee
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Sudipta Mukherjee

Sudipta Mukherjee was born in Kolkata and migrated to Bangalore. He is an electronics engineer by education and a computer engineer/scientist by profession and passion. He graduated in 2004 with a degree in electronics and communication engineering. He has a keen interest in data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning at large. His first book on Data Structure using C has been received quite well. Parts of the book can be read on Google Books. The book was also translated into simplified Chinese, available from Amazon.cn. This is Sudipta's second book with Packt Publishing. His first book, .NET 4.0 Generics , was also received very well. During the last few years, he has been hooked to the functional programming style. His book on functional programming, Thinking in LINQ, was released in 2014. He lives in Bangalore with his wife and son. Sudipta can be reached via e-mail at sudipto80@yahoo.com and via Twitter at @samthecoder.
Read more about Sudipta Mukherjee

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APIs used

In this chapter, you will learn how to use the preceding APIs to solve problems using several linear regression methods and plot the result.

FsPlot is a charting library for F# to generate charts using industry standard JavaScript charting APIs, such as HighCharts. FsPlot provides a nice interface to generate several combination charts, which is very useful when trying to understand the linear regression model. You can find more details about the API at its homepage at https://github.com/TahaHachana/FsPlot.

Math.NET Numerics for F# 3.7.0

Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, in engineering, and in everyday use. It supports F# 3.0 on .Net 4.0, .Net 3.5, and Mono on Windows, Linux, and Mac; Silverlight 5 and Windows 8 with PCL portable profile 47; Android/iOS with Xamarin.

You can get the API from the NuGet page at https://www.nuget.org/packages/MathNet.Numerics.FSharp/. For...

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F# for Machine Learning Essentials
Published in: Feb 2016Publisher: ISBN-13: 9781783989348
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Sudipta Mukherjee

Sudipta Mukherjee was born in Kolkata and migrated to Bangalore. He is an electronics engineer by education and a computer engineer/scientist by profession and passion. He graduated in 2004 with a degree in electronics and communication engineering. He has a keen interest in data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning at large. His first book on Data Structure using C has been received quite well. Parts of the book can be read on Google Books. The book was also translated into simplified Chinese, available from Amazon.cn. This is Sudipta's second book with Packt Publishing. His first book, .NET 4.0 Generics , was also received very well. During the last few years, he has been hooked to the functional programming style. His book on functional programming, Thinking in LINQ, was released in 2014. He lives in Bangalore with his wife and son. Sudipta can be reached via e-mail at sudipto80@yahoo.com and via Twitter at @samthecoder.
Read more about Sudipta Mukherjee

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