Third-party libraries

The following are a few third-party libraries that we will cover in our book later on.

Math.NET

Math.NET is an open source project that was created to augment (and sometimes replace) the functions that are available in System.Math. Its home page is http://www.mathdotnet.com/. We will be using Math.Net's Numerics and Symbolics namespaces in some of the machine learning algorithms that we will write by hand. A nice feature about Math.Net is that it has strong support for F#.

Accord.NET

Accord.NET is an open source project that was created to implement many common machine learning models. Its home page is http://accord-framework.net/. Although the focus of Accord.NET was for computer vision and signal processing, we will be using Accord.Net extensively in this book as it makes it very easy to implement algorithms in our problem domain.

Numl

Numl is an open source project that implements several common machine learning models as experiments. Its home page is http://numl.net/. Numl is newer than any of the other third-party libraries that we will use in the book, so it may not be as extensive as the other ones, but it can be very powerful and helpful in certain situations. We will be using Numl in several chapters of the book.