Media alert: March 1, 2012
Big Data is huge—in every sense of the word—as we become an increasingly data-driven society. Data scientist is one of the hottest jobs around and data-related stories run consistently above the fold.
This week, we're offering a new collection of data-based titles to help you analyze, visualize, and otherwise understand what it all means. We welcome your reviews on our products and can set up interviews with the authors.
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. In his new book, Machine Learning for Hackers, Drew and co-author John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.