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Mastering Machine Learning with R, Second Edition

You're reading from   Mastering Machine Learning with R, Second Edition Advanced prediction, algorithms, and learning methods with R 3.x

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787287471
Length 420 pages
Edition 2nd 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 (17) Chapters Close

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 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

The planet isn't going anywhere. We are! We're goin' away.
                                                                         - Philosopher and comedian, George Carlin

Climate change is happening. It always has and will, but the big question, at least from a political and economic standpoint, is I the climate change man-made? I will use this chapter to put econometric time series modeling to the test to try and learn whether carbon emissions cause, statistically speaking, climate change, and in particular, rising temperatures. Personally, I would like to take a neutral stance on the issue, always keeping in mind the tenets that Mr. Carlin left for us in his teachings on the subject...

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