-
Book Overview & Buying
-
Table Of Contents
-
Feedback & Rating
F# for Machine Learning Essentials
By :
F# for Machine Learning Essentials
By:
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 (9 chapters)
Preface
Free Chapter
1. Introduction to Machine Learning
2. Linear Regression
3. Classification Techniques
4. Information Retrieval
5. Collaborative Filtering
6. Sentiment Analysis
7. Anomaly Detection
Index
Customer Reviews
