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

Machine learning for fun and profit

Machine learning requires a lot of data and most of the time you, as the developer of an algorithm, will not have the time to synthesize or obtain good data. However, you are in luck. Kaggle does that for you. Kaggle is a website where companies host several machine learning problems and they provide training and test data to test your algorithm. Some competitions are linked with employment. So if your model stands out, you stand a chance to interview with the company that hosted the competition. Here is a short list of companies that are using kaggle for their data science/machine learning problems:

The next section gets you started with a kaggle competition; getting the data and solving it.