tommy / data-science-papers
Papers of interest for data scientists, covering mathematics, scientific computing, optimization, statistics, etc.
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Top 10 algorithms in data mining
(icdm.zhonghuapu.com)
Added 13 hours ago
Wu, X., Kumar, V., Ross Quinlan, J. et al. Knowl Inf Syst 14, 1–37 (2008). https://doi.org/10.1007/s10115-007-0114-2
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Pen and Paper Exercises in Machine Learning
(arxiv.org)
Added 13 hours ago
Michael U. Gutmann (2022), This is a collection of (mostly) pen-and-paper exercises in machine learning.
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Disciplined Convex Programming
(researchgate.net)
Added 13 hours ago
Grant, Michael & Boyd, Stephen & Ye, Yinyu. (2006). Disciplined Convex Programming. 10.1007/0-387-30528-9_7.
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Added 13 hours ago
Pedersen EJ, Miller DL, Simpson GL, Ross N. 2019. PeerJ 7:e6876 https://doi.org/10.7717/peerj.6876
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Added 13 hours ago
Andrew Gelman, Aki Vehtari (2020)
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Added 13 hours ago
I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle Friedler (2020)
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Added 13 hours ago
Michael Betancourt, (2018)
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Added 13 hours ago
Lars Buitinck et al, (2013)
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A comparison of numerical optimizers for logistic regression
(tminka.github.io)
Added 13 hours ago
Thomas P. Minka, October 22, 2003 (revised Mar 26, 2007)
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Machine Learning project checklist
(ic.unicamp.br)
Added 13 hours ago
From the book 'Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow' by 'Aurélien Géron'.
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Created: April 26, 2025 Updated: April 26, 2025
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