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

Item-item collaborative filtering

Like the user-user approach, items can be used to find similarities and then items can be recommended. The idea is to locate similar items based on who is purchasing them. This approach is generally taken when user bases grow. So, if the number of users is denoted by M and number of items is denoted by N, when M >> N (read: M is much greater than N) then this approach yields a good result. Most of the e-commerce sites use this algorithm to recommend items to users.

Amazon's "People who bought this also bought these" is a simple output of this approach. You can think of this as an inverted index of items and users in a very simple way, devoid of all the details about how ratings are persisted.









Now, if a new user buys item I2, then the system will list all the other items that have been purchased by U3 and U1, which are I1 and I3. On the other hand, if the new user buys item I3, then the system will...