Jul 292017
 
Doing data science

There you are: among the many new jobs and jobs descriptions that swarm the labor market, the “new” field of Data Science stands out like a beacon signaling the promised land of a never ending job supply. Yet, this is more than a passing fad, it is simply the realization of everything the evolving information economy always had in store for IT specialists, for the economy itself and for the world at large.

With this information-rich book the authors set out to elucidate how to go beyond the Big Data hype by presenting in a very comprehensive set of chapters everything that is permeated by Data in a globalized world. At the center of it all is the “data scientist”, a data-savvy, quantitative-minded, coding-literate problem solver, who could be part of the solution of the world’s problem, as long as she is part of multidisciplinary teams. The book, intended for experienced data scientists, statisticians, science PhDs, students and those new to data science, among others, wants to describe the current state of data science as well prescribe what data science could be as an academic discipline. This must-have guide includes numerous illustrative code samples and a helpful supplemental reading list that you will definitely need to really get into doing Data Science, for instance, math, coding (R and Python), data analysis and statistical inference, artificial intelligence and machine learning, experimental design and visualization.

Doing data science : straight talk from the frontline. Cathy O’Neil, Rachel Schutt. Sebastopol, CA.: O’Reilly Media, 2013. First Edition.

Mar 242015
 
Information Diet

Have you come across folks carrying an iPad or a smartphone and “reading” the news or simply browsing, but not reading, a huge number of publications? Not to mention the proud feeling of just being the owners of one (or more) of these extraordinary gadgets? Well, whether you are carring a tablet or a laptop computer, or sitting at home or office in front of an Internet browser, that will undoubtedly put a humongous amount of information (and misinformation) readily available to you in an instant. However, that does not change the fact that you still have to read it and digest it. The whole process has not changed, but “Information overconsumption” is what permeates our society. You still need to have good “information habits” in your “information diet” in order to avoid getting Information Obesity, and the goal of the author, Clay A. Johnson, is to show you how, whether you are a “liberal” or a “conservative”. Johnson, a former transparency advocate in Washington D.C., draws a clever parallel between our food consumption and our information consumption (hence, for instance, the theme of the book cover), and he believes that this is just not a fancy metaphor but a harsh reality and that a “conscious consumption of information is possible”, lest more and more proofs of information indigestion keep cropping up in the media, like that oxymoronic protest sign that read: Keep your government hands off my Medicare. Learn more about the incongruences that even people considered intelligent and educated utter in public more often than not, as just one of the many symptoms of this modern epidemic.

The information diet: a case for conscious consumption. Clay A. Johnson. Sebastopol, CA: O’Reilly Media Inc., 2012. First edition, second release.

Mar 182015
 
Beautiful data

That’s what a sign read in the office of a (disgruntled?) statistician. Joking aside, this is an extraordinary book, a sign of the times, where data is, as Microsoft put it, the new form of energy. With this book you will be able to discover just how wide-ranging—and beautiful—working with data can be. From social data analysis to the “life in data” and the story of the DNA, and Radiohead’s house of cards, to image data processing of Mars, information platforms and the rise of the data scientist, in between. Discover and better understand the “raw material” of the Web and business decisions.  The book presents in 20 mind stimulating chapters, fresh and engaging stories ranging from data collection, data storage, organization, retrieval, visualization and analysis. You don’t have to be a consummated or aspiring data scientist to enjoy this collection of elegant solutions presented by 39 of the best data practitioners today.

Beautiful data: the stories behind elegant data solutions. By Toby Segaran, Jeff Hammerbacher. Sebastopol, CA: O’Reilly, 2009. 1st edition.