News

Thursday, Mar 29, 2018
Fatehkia, a CSML Undergraduate Certificate student who is majoring in operations research and financial engineering, logged innumerable hours on Facebook last summer, but not in the usual way.
Tuesday, Mar 27, 2018
Barbara Engelhardt, Associate Professor in Computer Science and the Center for Statistics and Machine Learning, has received an 
Monday, Mar 12, 2018
by Melissa Moss
As an increasing number of research groups across the disciplines find themselves relying on data-driven predictive insights only possible through machine learning applications, a nagging problem has arisen.
Tuesday, Feb 20, 2018
Picture yourself trying to build a machine to detect email spam. You might start with simple rules that identify key words such as “drugs,” for instance. Of course, some legitimate emails could contain those key words, so you add rules to take into account these cases.
Wednesday, Jan 31, 2018
    Stress can run high for students during final exams, so we put our heads together to plan an event where our students could relax and recharge.
Wednesday, Jan 31, 2018
President Christopher L. Eisgruber and five Princeton faculty members participated in and led discussions on global issues at the annual meeting of the World Economic Forum in Davos, Switzerland, last week.
Friday, Jan 19, 2018
Professor Amir Ali Ahmadi has received the SEAS Innovation Award for his proposal titled “Nonconvex Polynomial Optimization for Machine Learning in Finance”. This grant is funded by the generous donations of Princeton alumni, parents and other donors.
Friday, Jan 12, 2018
 Princeton students currently enrolled in a Ph.D or Master’s program are eligible for this certificate.  For more information or to enroll, please visit our Graduate Certificate Program page.   
Thursday, Dec 21, 2017
Tools like social media, cell phones, and other digital marvels have changed how we live, but they have also enabled scientists to collect and process data on human behavior on a huge scale.
Wednesday, Dec 20, 2017
Demonstrating a potential privacy breach, a team of Princeton University engineers has developed an app that can locate and track people through their smartphones even when access to the Global Positioning System, or GPS, data on their devices is turned off.

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