Recorded:
Aug 26, 2017
Uploaded:
September 21, 2017
Part of
BMM Summer Course Reunion 2017 Alumni Presentations
Speaker(s):
Anna Leshinskaya
Anna Leshinskaya, UPenn
Recorded:
Sep 20, 2017
Uploaded:
September 20, 2017
Part of
CBMM Workshop - Sestri Levante
CBMM Speaker(s):
Boris Katz, Andrei Barbu
Boris Katz & Andrei Barbu, MIT
Recorded:
Jun 21, 2016
Uploaded:
September 20, 2017
Part of
CBMM Workshop - Sestri Levante
CBMM Speaker(s):
Shimon Ullman
Shimon Ullman, Massachusetts Institute of Technology (MIT), Weizmann Institute of Science
Recorded:
Jun 22, 2016
Uploaded:
September 15, 2017
Part of
CBMM Workshop - Sestri Levante
Speaker(s):
Tom M. Mitchell
Tom M. Mitchell, Carnegie Mellon University
Recorded:
Jun 21, 2016
Uploaded:
September 15, 2017
Part of
CBMM Workshop - Sestri Levante
Speaker(s):
Tony Prescott
Tony Prescott, University of Sheffield
Recorded:
Jun 21, 2016
Uploaded:
September 14, 2017
Part of
CBMM Workshop - Sestri Levante
CBMM Speaker(s):
Laura Schulz
Laura Shulz, MIT
Recorded:
Jun 22, 2016
Uploaded:
September 14, 2017
Part of
CBMM Workshop - Sestri Levante
CBMM Speaker(s):
Giorgo Metta
Giorgio Metta, IIT
Recorded:
Sep 13, 2017
Uploaded:
September 13, 2017
Part of
Statistical Learning Theory and Applications
CBMM Speaker(s):
Tomaso Poggio, Lorenzo Rosasco
Original lecture videos from the Fall 2017 course are posted on the CBMM YouTube channel. Material from the course will be published on MIT OpenCourseWare, including edited lecture videos, slides, readings, tutorials, and resources to support...
Recorded:
Sep 5, 2017
Uploaded:
September 11, 2017
Part of
Computational Tutorials
Speaker(s):
Alex Williams
Taught by: Alex Williams, Stanford University
In many scientific domains, data is coded in large tables or higher-dimensional arrays. Compressing these data into smaller, more manageable representations is often critical for extracting scientific...
Recorded:
Sep 5, 2017
Uploaded:
September 11, 2017
Part of
Computational Tutorials
Speaker(s):
Alex Williams
Taught by: Alex Williams, Stanford University
In many scientific domains, data is coded in large tables or higher-dimensional arrays. Compressing these data into smaller, more manageable representations is often critical for extracting scientific...
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