Thursday, Jul 27, 2017
by jd7
CSML welcomes its new director, Professor Peter J. Ramadge the Gordon Y.S. Wu Professor of Engineering and Professor of Electrical Engineering. His research interests range from theoretical aspects of machine learning and data analysis to the applications of machine learning in domains such as neuroscience, robotics, and signal processing.
Wednesday, Jun 7, 2017
by jd7
CSML would like to congratulate the 2017 SML Program Certificate Graduates! We wish you the best! Neamah Abdulhusein Rene Chalom Advait Chauhan Julie Chen Xinyi Chen Eric Chiou Daway Chou-Ren Dong Wook (Daniel) Chung Ujjwal Dahuja Vladimir Feinberg
Friday, Apr 7, 2017
by jd7
Princeton juniors Lamia Ateshian, Sally Jiao, Jonathan Lu and Omkar Shende have been awarded one-year Goldwater Scholarships, the premier award for outstanding undergraduates interested in careers in mathematics, the natural sciences and engineering.   
Thursday, Mar 16, 2017
by jd7
SML's Program Director, Kosuke Imai featured in article "Winning 'hearts and minds' in Afghanistan carries risks for civilians " Read More:
Friday, Mar 10, 2017
by jd7
Can machines dream? Can they compose symphonies? Princeton Data Science (PDS) presents "Machine Learning & Art" -- no prior technical knowledge necessary. 
Tuesday, Feb 21, 2017
by jd7
SML Certificate Program associated faculty, Han Liu and Amir Ali Ahmadi are two of six Princeton University faculty members named as 2017 Sloan Research Fellows. Awarded by the Alfred P. Sloan Foundation, the $60,000 fellowships recognize promising early-career scientists who have been nominated by their colleagues.
Wednesday, Jan 25, 2017
by Joe Capizzi
Please join us on Monday. February 20, 2017 from 12:00pm-1:00pm, for our first SML Lunch & Learn. Please note: 26 Prospect Avenue is the former home of the Bendheim Center for Finance.
Tuesday, Jan 10, 2017
by jd7
CSML is now located at 26 Prospect Ave. (Bendheim Center for Finance).  Please stop by and say hello!    
Monday, Nov 21, 2016
by jd7
  The premise of Princeton University sociologist Matthew Salganik's forthcoming book, "Bit by Bit: Social Science in the Digital Age," is that technological innovation creates new opportunities for social science researchers.