Foster Provost

Foster Provost
Professor | NEC Faculty Fellow, NYU | Stern

@FakeFoster

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.

Sessions

Data-Driven Business
Location: 118-119.
Foster Provost ( NYU | Stern )
Average rating: ****.
(4.00, 8 ratings)
For predictive analytics, a major source of the value of big data comes from incorporating massive, fine-grained data. We see this in applications ranging from analyzing banking customers to fraud detection to online ad targeting to finding similar users on their mobile devices to predicting people's personality traits from Facebook Likes...and more. Read more.
Location: 211-212
Foster Provost ( NYU | Stern )
Average rating: ****.
(4.00, 26 ratings)
As we've moved from simple statistical analyses of big data to decision-making based on big data and data-science models, we face an ironic "dirty secret." It is becoming increasingly difficult to understand why particular decisions have been made. In many applications, data-driven models now take as input massive numbers of "signals", including words in text, locations frequented... Read more.