Algorithmic Foundations of Data Science
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David Steurer
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Spring Semester
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Location: rack 8, shelf 1
This course provides rigorous theoretical foundations for the design and mathematical analysis of efficient algorithms that can solve fundamental tasks relevant to data science.
![]() READING ROOM ONLY
NOT AVAILABLE
![]() ![]() High-dimensional statisticsA non-asymptotic viewpoint Martin J. Wainwright (University of California, Berkeley)
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