I’m very proud (and relieved) to announce that my year-long+ book project is finally done! “Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R” is available from Technics Publications. The book provides an introduction to the entire data science process, highlighting the ways that machine learning can be used to solve business problems. Both supervised and unsupervised statistical learning techniques are included. The R statistical programming language is used throughout. Here is the table of contents:
Introduction
Chapter 1: Machine Learning Overview
Chapter 2: Data Access
Chapter 3: Data Munging
Chapter 4: Exploratory Data Analysis
Chapter 5: Regression
Chapter 6: Classification
Chapter 7: Evaluating Model Performance
Chapter 8: Unsupervised Learning
The book is perfect for newbies just entering the data science field who wish to quickly get up to speed with the technology. I plan to use the book for the introductory courses I teach for corporations and universities. You can pre-order the book on Amazon HERE. You can find all the R code used in the book at this GitHub repo.
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