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

The basics of matrices and vectors (a short and sweet refresher)

Using Math.Net numerics, you can create matrices and vectors easily. The following section shows how. However, before you can create the vector or the matrix using Math.NET API, you have to reference the library properly. The examples in this chapter run using the F# script.

You have to write the following code at the beginning of the file and then run these in the F# interactive:

Creating a vector

You can create a vector as follows:

The vector values must always be float as per Math.NET. Once you run this in the F# interactive, it will create the following output:

Creating a matrix

A matrix can be created in several ways using the Math.NET package. In the examples in this chapter, you will see the following ways most often:

  • Creating a matrix by hand: A matrix can be created manually using the Math.Net F# package, as follows:

    Once you run this, you will get the following in the F# interactive:

  • Creating a matrix from a list of rows...