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Machine learning under a modern optimization lens
By: Bertsimas, Dimitris
Contributor(s): Dunn, Jack [Co-author]
Material type:
Text
Publisher: Massachusetts Dynamic Ideas LLC 2019
Description: xviii, 589 p. Includes reference and index
ISBN: 9781733788502
Subject(s): Machine learning | Lens optimization | Matrix methods | Perspective analytics
DDC classification: 006.31
Summary: The book provides an original treatment of machine learning (ML) using convex, robust and mixed integer optimization that leads to solutions to central ML problems at large scale that can be found in seconds/minutes, can be certified to be optimal in minutes/hours, and outperform classical heuristic approaches in out-of-sample experiments. https://lib.mit.edu/record/cat00916a/mit.002821190
List(s) this item appears in: Machine Learning
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Vikram Sarabhai Library General Stacks
Slot 103 (0 Floor, West Wing)
Non-fiction
006.31 B3M2 (Browse shelf)
Checked out
09/09/2021
200849

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