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Mastering Machine Learning with R

You're reading from Mastering Machine Learning with R Master machine learning techniques with R to deliver insights for complex projects

Product type Paperback

Published in Oct 2015

Publisher

ISBN-13 9781783984527

Length 400 pages

Edition 1st Edition

Languages

R

Tools

RStudio

Concepts

Machine Learning

Author (1):

Cory Lesmeister

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Table of Contents (15) Chapters

Preface

1. A Process for Success FREE CHAPTER

2. Linear Regression – The Blocking and Tackling of Machine Learning

3. Logistic Regression and Discriminant Analysis

4. Advanced Feature Selection in Linear Models

5. More Classification Techniques – K-Nearest Neighbors and Support Vector Machines

6. Classification and Regression Trees

7. Neural Networks

8. Cluster Analysis

9. Principal Components Analysis

10. Market Basket Analysis and Recommendation Engines

11. Time Series and Causality

12. Text Mining

A. R Fundamentals

Index

Chapter 10. Market Basket Analysis and Recommendation Engines

	"It's much easier to double your business by doubling your conversion rate than by doubling your traffic."
	--Jeff Eisenberg, CEO of BuyerLegends.com

	"I don't see smiles on the faces of people at Whole Foods."
	--Warren Buffett

One would have to live on the dark side of the moon in order to not observe—each and every day—the results of the techniques that we are about to discuss in this chapter. If you visit www.amazon.in, watch movies on www.netflix.com, or visit any retail website, you will be exposed to terms such as related products, because you watched…, customers who bought x also bought y, or recommended for you, at every twist and turn. With large volumes of historical real-time or near real-time information, retailers utilize the algorithms discussed here to attempt to increase both your volume and the amount of purchases.

The...

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Authors (1)

Lesmeister

Lesmeister

Cory Lesmeister has over fourteen years of quantitative experience and is currently a senior data scientist for the advanced analytics team at Cummins, Inc. in Columbus, Indiana. He has spent 16 years at Eli Lilly and Company in sales, market research, Lean Six Sigma, marketing analytics, and new product forecasting. He also has several years of experience in the insurance and banking industries, both as a consultant and as a manager of marketing analytics. A former US Army active duty and reserve officer, Cory was stationed in Baghdad, Iraq, in 2009. Here, he served as the strategic advisor to the 29,000-person Iraqi Oil Police, succeeding where others failed by acquiring and delivering promised equipment to help the country secure and protect its oil infrastructure. He has a BBA in aviation administration from the University of North Dakota and a commercial helicopter license.

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