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.
Webcast: An Introduction to Machine Learning for Hackers September 18, 2012
We'll introduce programmers to two of the most common tools in the machine learning toolkit: linear regression and logistic regression. We'll show how these two tools let you make a first pass at solving almost any machine learning problem you might...
"If youre looking for a very solid, well written, overview of machine learning in R, Machine Learning for Hackers is a great starting point, as long as youre willing to read around the subject (the recommended texts and books cited list works well)."
--Jonathan Hammler, Compsoc -- Durham University Computing Society
"I recommend this book to anyone with interest in machine learning with a statistics background."
--Nilesh Thatte, BCS
"If youre looking for a hands-on introduction to machine learning, maybe as a prelude to or complement to a more theoretical text, youll enjoy this book."
--John D. Cook, The Endeavour
"I recommend it to any programmer who needs to generate predictions or classifications from data -- using R and learning more about the statistical techniques behind the methods will help you to create better data hacking applications in the long run."
--David Smith, Revolution Analytics