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Mathematical Sciences Research Institute

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Summer Graduate School

Representations of High Dimensional Data July 09, 2018 - July 20, 2018
Parent Program: --
Location: MSRI: Simons Auditorium, Atrium
Organizers Blake Hunter (Claremont McKenna College), Deanna Needell (University of California, Los Angeles)
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Description
In today's world, data is exploding at a faster rate than computer architectures can handle. This summer school will introduce students to modern and innovative mathematical techniques that address this phenomenon. Hands-on topics will include data mining, compression, classification, topic modeling, large-scale stochastic optimization, and more. Suggested Prerequisites: The minimum requirements for students to benefit from this program are: A foundation in graduate analysis, at least one course An undergraduate degree in Mathematics or related field including courses in Probability and Linear Algebra Some programming experience (Matlab, C, C++, Python, Java, etc.) For eligibility and how to apply, see the Summer Graduate Schools homepage
Keywords and Mathematics Subject Classification (MSC)
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