tommy / data-science-books
Books of interest for data scientists, covering mathematics, scientific computing, optimization, statistics, etc.
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Statistical Rethinking
(amazon.com)
Added 1 day ago
Statistics // Richard McElreath (2020)
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The Basics of Practical Optimization
(amazon.com)
Added 1 day ago
Optimization // Adam B. Levy (2022)
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Optimization Modelling: A Practical Approach
(amazon.com)
Added 1 day ago
Optimization // Sarker et al (2007)
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Essentials of Metaheuristics
(amazon.com)
Added 1 day ago
Optimization // Sean Luke (2012)
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Linear Programming: Foundations and Extensions
(amazon.com)
Added 1 day ago
Optimization // Robert J. Vanderbei (2021)
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Convex Optimization
(amazon.com)
Added 1 day ago
Optimization // Boyd et al (2004)
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Numerical Optimization
(amazon.com)
Added 1 day ago
Optimization // Nocedal et al (2006)
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The Algorithm Design Manual
(amazon.com)
Added 1 day ago
Algorithms // Steven S. Skiena (2021)
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Algorithms
(amazon.com)
Added 1 day ago
Algorithms // Dasgupta et al (2006)
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Competitive Programming
(cpbook.net)
Added 1 day ago
Algorithms // Halim et al
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Collection timeline
Created: April 26, 2025 Updated: April 26, 2025
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