Book Image

Mastering Machine Learning with R - Second Edition

Book Image

Mastering Machine Learning with R - Second Edition

Overview of this book

This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you’ll understand how these concepts work and what they do. With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets.
Table of Contents (23 chapters)
Title Page
Credits
About the Author
About the Reviewers
Packt Upsell
Customer Feedback
Preface
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.

The first order of business is to find and gather the data. For temperature, I chose the HadCRUT4 annual median temperature time series, which is probably the gold standard. This data is compiled by a cooperative effort of the Climate Research Unit of the University of East Anglia and...