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Mastering Machine Learning with R

You're reading from   Mastering Machine Learning with R Advanced machine learning techniques for building smart applications with R 3.5

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Product type Paperback
Published in Jan 2019
Publisher
ISBN-13 9781789618006
Length 354 pages
Edition 3rd Edition
Languages
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Author (1):
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Cory Lesmeister Cory Lesmeister
Author Profile Icon Cory Lesmeister
Cory Lesmeister
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Table of Contents (16) Chapters Close

Preface 1. Preparing and Understanding Data 2. Linear Regression FREE CHAPTER 3. Logistic Regression 4. Advanced Feature Selection in Linear Models 5. K-Nearest Neighbors and Support Vector Machines 6. Tree-Based Classification 7. Neural Networks and Deep Learning 8. Creating Ensembles and Multiclass Methods 9. Cluster Analysis 10. Principal Component Analysis 11. Association Analysis 12. Time Series and Causality 13. Text Mining 14. Creating a Package 15. Other Books You May Enjoy

Association Analysis

If we have data, let’s look at data. If all we have are opinions, let’s go with mine.
- Jim Barksdale, former Netscape CEO

You would have to live on the dark side of the Moon to not see the results of the techniques that we're about to discuss in this chapter every day. If you visit www.amazon.com, watch movies on www.netflix.com, or visit any retail website, you'll be exposed to terms such as related products, because you watched..., customers who bought x also bought y, and recommended for you, at every twist and turn. With large volumes of historical real-time or near real-time information, retailers utilize various algorithms in an attempt to increase both the quantity of buyers' purchases and the value of those purchases.

The techniques to do this can be broken down into two categories: association rules and recommendation...

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