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SUMMARY:Gil Strang (MIT)
DTSTART:20210928T160000Z
DTEND:20210928T170000Z
DTSTAMP:20260423T004756Z
UID:ESME/18
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/ESME/18/">Li
 near Algebra and Deep Learning</a>\nby Gil Strang (MIT) as part of Online 
 Seminar On Undergraduate Mathematics Education\n\n\nAbstract\n"Deep learni
 ng" is shorthand for the creation of a function F(x\, v) so that the input
 s v (the training data) produce correct outputs. So it is a new type of in
 terpolation. The mathematics is a combination of linear algebra and calcul
 us (optimizing the weights) and statistics (controlling the variance). The
  18.065 course at MIT has become a "second course in linear algebra" for s
 tudents from all departments and all years. It has a textbook\, Linear Alg
 ebra and Learning from Data. Video lectures are on OpenCourseWare. The key
  link from linear algebra to data science is the Singular Value Decomposit
 ion. It has become the foundation of applied linear algebra and we need to
  teach it.\n
LOCATION:https://researchseminars.org/talk/ESME/18/
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