tommy / data-science-papers
Papers of interest for data scientists, covering mathematics, scientific computing, optimization, statistics, etc.
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Pedro Domingos (2012)
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Matrix Factorization Techniques for Recommender Systems
(datajobs.com)
Added 1 day ago
Yehuda Koren, Robert Bell and Chris Volinsky (2009) https://doi.org/10.1109/MC.2009.263
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Statistical Modeling: The Two Cultures
(doi.org)
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Leo Breiman. Statist. Sci. 16 (3) 199 - 231, August 2001
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Factorization Machines
(ismll.uni-hildesheim.de)
Added 1 day ago
Rendle, S. (2010). 2010 IEEE International Conference on Data Mining. doi:10.1109/icdm.2010.127
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Cynthia Rudin, 2018, "Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead"
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The garden of forking paths
(sites.stat.columbia.edu)
Added 1 day ago
Andrew Gelman and EricLoken, 2013, The garden of forking paths: Why multiple comparisons can be a problem
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Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results
(doi.org)
Added 1 day ago
Silberzahn R, Uhlmann EL, Martin DP, et al. Advances in Methods and Practices in Psychological Science. 2018 1(3):337-356. doi:10.1177/2515245917747646
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Wilson G, Bryan J, Cranston K, Kitzes J, Nederbragt L, Teal TK (2017). PLoS Comput Biol 13(6): e1005510.
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Created: April 26, 2025 Updated: April 26, 2025
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