Book Image

Mastering Machine Learning with R, Second Edition - Second Edition

Book Image

Mastering Machine Learning with R, Second Edition - 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

Sequential data analysis


There are known knowns. These are things we know that we know. There are known unknowns. That is to say, there are things that we know we don't know. But there are also unknown unknowns. There are things we don't know we don't know.                                                           - Donald Rumsfeld, Former Secretary of Defense

The very first business question I came across after the 1st edition was published revolved around product sequential analysis. The team worked on complicated Excel spreadsheets and pivot tables, along with a bunch of SAS code, to produce insights. After coming across this problem, I explored what could be done with R and was pleasantly surprised to stumble into the TraMineR package, specifically designed for just such a task. I believe the application of R to the problem would have greatly simplified the analysis.

The package was designed for the social sciences, but it can be used in just about every situation where you want to mine...