Is bigger data really better? Predictive analytics with massive fine-grained data on consumer behavior.
The best-selling O’Reilly book: Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking.
Foster Provost is coauthor of the O’Reilly best-selling book, Data Science for Business (http://data-science-for-biz.com). He has designed data science solutions for businesses for over two decades, and has co-founded several successful companies focusing on data science for advertising (incl., Dstillery & Integral Ad Science). In his current job as Professor and NEC Faculty Fellow at the NYU Stern School of Business, Foster teaches in the MS in Data Science, MS in Business Analytics, MBA, and PhD programs. His data science research has won many awards and is broadly cited. He served as Program Chair for the ACM SIGKDD Conference and for many years as Editor-in-Chief for the journal Machine Learning.
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