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Introduction to Data Science – Free eBook


A new free eBook became available: Introduction to Data Science by Jeffrey Stanton, Associate Professor at Syracuse University. This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science.

Book Review: Doing Data Science


O’Reilly Media does it right. Their PR department gives valuable support to the grassroots efforts in the data science community by helping out local Meetup groups. A case in point is how they provided a number of current titles to be given away as raffle prizes for the Los Angeles R User Group of which […]

Book Review: Machine Learning for Hackers


It isn’t often that I get excited about a book in my field of data science, but I must admit that I was highly energized the first time I thumbed through a new copy of Machine Learning for Hackers by Drew Conway and John Myles White courtesy of O’Reilly Media. This is not a reference […]

Book Review: An Introduction to Statistical Learning


I’m excited to be writing this book review. It is a book for which I’ve been waiting a long time. An Introduction to Statistical Learning with Application in R by James, Witten, Hastie, and Tibshirani is a contemporary re-work of the classic machine learning text Elements of Statistical Learning by Hastie, Tibshirani, and Friedman. This […]

Free eBook: How Data Science is Transforming Health Care


The health care industry is notorious for lagging behind other prominent industries in the adoption of big data technology. At the same time, few other industries could benefit as much from data science and machine learning as health care. The U.S. ranks 37th out of developed economies in life expectancy and other measures of health, […]

Naked Statistics: Stripping the Dread from the Data


In Naked Statistics, author Charles Wheelan strives to impart the intuitions behind foundational statistical concepts such as correlation, regression and inference without with any complex formulas and algorithms.  Although targeted toward “those who slept through Stats 101,” the book may be of interest to more accomplished “dataphiles.” I greatly appreciate books like this because they shed […]