Ben Schneiderman to give talk on “The New ABCs of Research”

On Thursday, April 21st at 12:30pm, Ben Schneiderman, Computer Science Professor at the University of Maryland, will give a talk on The New ABCs of Research: Achieving Breakthrough Collaborations, his newly released book. See below for details, abstract, and bio. Date:  Thursday, April 21, 2016 Time:  12:30pm Location:  44 West 4th St, Kaufman Management Center, … Continue reading Ben Schneiderman to give talk on “The New ABCs of Research”

Economics and Big Data Meetup on July 31st: “Machine Learning: How Should the Art of Decision Making Intersect with Science?”

When:  Thursday, July 31st at 6:30pm Where:  NYU Courant, 251 Mercer Street, Room 109, New York, NY 10012 Topic:  Machine Learning: How Should the Art of Decision Making Intersect with Science? Murli Buluswar, VP and Chief Science Officer at AIG Property/Casualty, will be speaking on integrating Behavioral Economics, Data Science and Big Data Platforms and giving … Continue reading Economics and Big Data Meetup on July 31st: “Machine Learning: How Should the Art of Decision Making Intersect with Science?”

Bernhard Schölkopf to Present Courant Lectures This Week, April 25 and 26

THE COURANT LECTURES Created to commemorate Richard Courant’s 70th birthday on January 8, 1958, the Courant Lectures officially began when friends established a fund to endow a series of lectures to be delivered every two years. The first speaker was Eugene Wigner in 1959, one of the greatest mathematical physicists of the 20th century and … Continue reading Bernhard Schölkopf to Present Courant Lectures This Week, April 25 and 26

Big data: Statistical and computational challenges and opportunities

ABSTRACT: I will review several successful consumer products and argue that huge datasets played a central role in their construction. Among these products, I will describe Zite, a personalized magazine built by my team and acquired by CNN, which uses massive classifiers to label nearly a billion documents and personalize content for millions of users. … Continue reading Big data: Statistical and computational challenges and opportunities