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

Multiclass classification using logistic regression

You have seen in the previous section how logistic regression can be used to perform binary classification. In this section, you will see how to use logistic regression (which is known to do the binary classification) for multiclass classification. The algorithm used is known as the "one-vs-all" method.

The algorithm is very intuitive. It learns many models as many different classes of items are there in the training dataset. Later, when a new entry is given for identification, all the models are used to compute the confidence score that reflects the confidence of the model that the new entry belongs to that class. The model with the highest confidence is selected.

In this example, you will see how Accord.NET can be used to implement multiclass classification to identify iris flowers. There are three types of iris flowers, namely, Iris versicolor, Iris setosa, and Iris virginica. The task is to identify a given flower from the measurements...