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Mastering Machine Learning with R, Second Edition - Second Edition

You're reading from  Mastering Machine Learning with R, Second Edition - Second Edition

Product type Book
Published in Apr 2017
Publisher Packt
ISBN-13 9781787287471
Pages 420 pages
Edition 2nd Edition
Languages
Toc

Table of Contents (23) Chapters close

Title Page
Credits
About the Author
About the Reviewers
Packt Upsell
Customer Feedback
Preface
1. A Process for Success 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 and Deep Learning 8. Cluster Analysis 9. Principal Components Analysis 10. Market Basket Analysis, Recommendation Engines, and Sequential Analysis 11. Creating Ensembles and Multiclass Classification 12. Time Series and Causality 13. Text Mining 14. R on the Cloud 15. R Fundamentals 16. Sources

Business understanding and recommendations


This business case is a joke, literally. Maybe it is more appropriate to say a bunch of jokes, as we will use the Jester5k data from the recommenderlab package. This data consists of 5,000 ratings on 100 jokes sampled from the Jester Online Joke Recommender System. It was collected between April 1999 and May 2003, and all the users have rated at least 36 jokes (Goldberg, Roeder, Gupta, and Perkins, 2001). Our goal is to compare the recommendation algorithms and select the best one.

As such, I believe it is important to lead off with a statistical joke to put one in the proper frame of mind. I'm not sure of how to properly provide attribution for this one, but it is popular all over the Internet.

A statistician's wife had twins. He was delighted. He rang the minister who was also delighted. "Bring them to church on Sunday and we'll baptize them", said the minister. "No", replied the statistician. "Baptize one. We'll keep the other as a control."

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