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F# for Machine Learning Essentials

You're reading from  F# for Machine Learning Essentials

Product type Book
Published in Feb 2016
Publisher
ISBN-13 9781783989348
Pages 194 pages
Edition 1st Edition
Languages
Author (1):
Sudipta Mukherjee Sudipta Mukherjee
Profile icon Sudipta Mukherjee

Table of Contents (16) Chapters

F# for Machine Learning Essentials
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Introduction to Machine Learning Linear Regression Classification Techniques Information Retrieval Collaborative Filtering Sentiment Analysis Anomaly Detection Index

Objective


After reading this chapter, you will be able to break down a real problem to a classification problem whenever applicable and then be able to use the proper algorithm to solve the problem.

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