“Data Analytics Handbook” is a new resource meant to inform young professionals about the field of data science. Written by a group of students at UC Berkeley: Brian Liou, Tristan Tao, and Elizabeth Lin. Edition One of the book includes in-depth interviews with Data Scientists & Data Analysts.
Book Review: Data Crush
March 17, 2014 by 1 Comment
A new book came across my desk the other day that I really enjoyed in terms of its timeliness for the audience of Big Data decision makers trying to make sense of this new technology. “Data Crush – How the Information Tidal Wave is Driving New Business Opportunities,” by Christopher Surdak aims to spark a widespread business movement beyond the pressing goal of surviving the data tsunami.
Data Science 101: Deep Learning Methods and Applications
March 7, 2014 by Leave a Comment
Microsoft Research, the research arm of the software giant, is a hotbed of data science and machine learning research. Microsoft has the resources to hire the best and brightest researchers from around the globe. A recent publication is available for download (PDF): “Deep Learning: Methods and Applications” by Li Deng and Dong Yu, two prominent researchers in the field.
Book Review: Big Data Marketing by Lisa Arthur
December 11, 2013 by Leave a Comment
I’ve been promoting the concept of Computational Marketing for some time here on insideBIGDATA and elsewhere because it is quite clear that modern marketing is nothing without data. So it’s great to see a new book aligned with this notion – Big Data Marketing by Lisa Arthur. The data driven movement is marching forward at […]
Introduction to Data Science – Free eBook
December 5, 2013 by Leave a Comment
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
November 16, 2013 by Leave a Comment
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
October 17, 2013 by Leave a Comment
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
October 6, 2013 by Leave a Comment
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
September 20, 2013 by Leave a Comment
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
September 9, 2013 by 1 Comment
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 […]
