Book Image

F# for Machine Learning Essentials

By : Sudipta Mukherjee
Book Image

F# for Machine Learning Essentials

By: Sudipta Mukherjee

Overview of this book

The F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs. If you want to learn how to use F# to build machine learning systems, then this is the book you want. Starting with an introduction to the several categories on machine learning, you will quickly learn to implement time-tested, supervised learning algorithms. You will gradually move on to solving problems on predicting housing pricing using Regression Analysis. You will then learn to use Accord.NET to implement SVM techniques and clustering. You will also learn to build a recommender system for your e-commerce site from scratch. Finally, you will dive into advanced topics such as implementing neural network algorithms while performing sentiment analysis on your data.
Table of Contents (16 chapters)
F# for Machine Learning Essentials
About the Author
About the Reviewers

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

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 For...