Drew Conway is a PhD candidate in Politics at NYU. He studies international relations, conflict, and terrorism using the tools of mathematics, statistics, and computer science in an attempt to gain a deeper understanding of these phenomena. His academic curiosity is informed by his years as an analyst in the U.S. intelligence and defense communities.
John Myles White is a PhD candidate in Psychology at Princeton. He studies pattern recognition, decision-making, and economic behavior using behavioral methods and fMRI. He is particularly interested in anomalies of value assessment.
I wouldn't recommend this book to someone who desires to learn Machine Learning through coding.
Maybe the authors only misunderstand some R functions, but too little care was taken to fact check the book by the editors or authors.
Cons: The book has a couple of very grievous errors, that make me wonder the authors understand the subject matter.
Drew Conway and John Myles White’s credentials are impeccable—Conway used to work in intel, White is a psychologist, statistician and maintainer of several ‘R’ packages. Read morePublished 7 months ago by MCNAUGHTON NEIL
I enjoyed reading this book.
The text is parsimonious.
The examples are interesting.
The coding is clever. Read more
The way this is formatted for Kindle makes it basically unusable. Page numbers in the middle of the text, mangled figures and tables, no chapter breaks and more. Read morePublished 10 months ago by Austin Clemens
This book is more of an introduction to R then anything to do with Machine Learning.. as a R introduction it's not bad minus the horibad sample code ... Read morePublished 15 months ago by anthonyl
It goes through the very basics of statistics to build the necessary knowledge to the machine learning algorithms. Read morePublished 16 months ago by Filipe
This book is an attempt to give someone an introduction to the very, very basic concepts used in Machine Learning, using R. Read morePublished 20 months ago by Michael Flynn
(Disclosure: I received a free review copy of this book.)
I had high hopes for this book after the first few chapters. Read more
... who found this book difficult to work through.
I was really looking forward to working through this book as a way to get hands-on experience with some machine... Read more
This is a pretty accessible introduction to basic ML concepts using R. Two things would benefit this book immensely: (1) Remove chapter 11 since it's completely deprecated and... Read morePublished 21 months ago by Megan Squire