xi, 344 pages : illustrations ; 24 cm.
"Learning made easy."
Includes bibliographical references (pages 327-329) and index.
Part 1: The Tools of the Trade
CHAPER 1: R: What It Does and How It Does It
CHAPTER 2: Working with Packages
CHAPTER 3: Getting Graphic
Part 2: Interacting with a User
CHAPTER 4: Working with a Browser
CHAPTER 5: Dashboards - How Dashing!
Part 3: Machine Learning
CHAPTER 6: Tools and Data for Machine Learning Projects
CHAPTER 7: Decisions, Decisions, Decisions
CHAPTER 8: Into the Forest, Randomly
CHAPTER 9: Support Your Local Vector
CHAPTER 10: K-Means Clustering
CHAPTER 11: Neural Networks
Part 4: Large(ish) Data Sets
CHAPTER 12: Exploring Marketing
CHAPTER 13: From the City That Never Sleeps
Part 5: Maps and Images
CHAPTER 14: All Over the Map
CHAPTER 15: Fun with Pictures
Part 6: The Part of Tens
CHAPTER 16: More Than Ten Packages for Your R Projects
CHAPTER 17: More than Ten Useful Resources
Why spend weeks learning a complex, costly statistical software package? With the help of this book, you can quickly master R, the free data science toolkit that some of the world's top companies use. These projects give you hands-on methods, and process images. You'll learn the skills you'll need to work with R's extensive toolset and understand exactly how to apply R in projects you'll encounter on the job.
R projects for dummies