Algorithmic Foundations of Data Science

This course provides rigorous theoretical foundations for the design and mathematical analysis of efficient algorithms that can solve fundamental tasks relevant to data science.

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High-dimensional statistics

A non-asymptotic viewpoint

Martin J. Wainwright (University of California, Berkeley)

Signature Year Rack/Shelf Lecture Return Date Status
Textbook.M.204.03.2 2019 11 / 4 Optimization for Data Science Available
Textbook.M.165.01.1 2019 8 / 1 Algorithmic Foundations of Data Science Available
Textbook.M.204.03.1 2019 11 / 4 Optimization for Data Science On-site use only
AVAILABLE
READING ROOM ONLY
NOT AVAILABLE
ONLINE VERSION
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Algorithmic aspects of machine learning

Ankur Moitra, Massachusetts Institute of Technology

Signature Year Rack/Shelf Lecture Return Date Status
Textbook.M.165.02.1 2018 8 / 1 Algorithmic Foundations of Data Science Unavailable
AVAILABLE
READING ROOM ONLY
NOT AVAILABLE
ONLINE VERSION
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High-dimensional probability

An introduction with applications in data science

Roman Vershynin (University of California, Irvine)

Signature Year Rack/Shelf Lecture Return Date Status
Textbook.M.165.03.1 2018 8 / 1 Algorithmic Foundations of Data Science Unavailable