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Statistical and Computational Tradeoffs
Computational limitations of statistical problems have largely been ignored or simply overcome by ad hoc relaxations techniques. -
Data Science and Big Data Analytics: Making Data-Driven Decisions
Discover how to turn big data into even bigger results in this seven-week online course. Choose from two dates with courses starting in September and October. -
MicroMasters in Statistics and Data Science
Learn data science methods and tools, get hands-on training in data analysis and machine learning, and find opportunities in a growing field. Courses launch fall 2018.
News
Suvrit Sra awarded NSF TRIPODS + X grant
Sra's cross-disciplinary research explores how machine learning can improve medical imaging.
Philippe Rigollet awarded NSF BIGDATA grant
Research uses the theory of optimal transport to address data that are whole geometric objects rather than a collection of individual points, wit...
MITx MicroMasters adds new pathways to access to master’s degrees
Learners from around the globe now have enhanced access to “blended” master’s programs at MIT and elsewhere.
Upcoming
Thu
18
Topics in Information and Inference Seminar
Guy Bresler (MIT)
32-D677
October 18 @ 4:00 pm - 5:00 pm
Fri
19
Algorithmic thresholds for tensor principle component analysis
Aukosh Jagannath (Harvard University)
E18-304
October 19 @ 11:00 am - 12:00 pm
Thu
25
Topics in Information and Inference Seminar
Abbas El Gamal (Stanford University)
October 25 @ 4:00 pm - 5:00 pm
Fri
26
On the cover time of two classes of graph
Alan Frieze (Carnegie Mellon University)
E18-304
October 26 @ 11:00 am - 12:00 pm
Nov
01
Topics in Information and Inference Seminar
Abbas El Gamal (Stanford University)
November 1 @ 4:00 pm - 5:00 pm