Machine learning -- MathematicsSee also what's at your library, or elsewhere.
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Filed under: Machine learning -- Mathematics
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Filed under: Machine learning- Graph Representation Learning (prepublication version, 2020), by William L. Hamilton (PDF at McGill)
- Probabilistic Machine Learning for Civil Engineers (prepublication version; 2020), by James-A. Goulet (PDF files with commentary at polymtl.ca)
- Foundations of Machine Learning (second edition; Cambridge, MA and London: MIT Press, c2018), by Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar (HTML at ublish.com)
- Elements of Causal Inference: Foundations and Learning Algorithms (Cambridge, MA and London: MIT Press, c2017), by Jonas Peters, Dominik Janzing, and Bernhard Schölkopf (PDF with commentary at MIT Press)
- Machine Learning (main text c1997; additional chapters c2017), by Tom M. Mitchell (PDF with commentary at CMU)
- Deep Learning (prepublication version; 2016), by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (illustrated HTML with commentary at deeplearningbook.org)
- Bayesian Reasoning and Machine Learning (free online edition, c2014), by David Barber (PDF with commentary in the UK)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction (second edition, 2009), by Trevor Hastie, Robert Tibshirani, and J. H. Friedman (PDF with commentary at Stanford)
- Reinforcement Learning: An Introduction (first and second editions, 1998 and 2018), by Richard S. Sutton and Andrew G. Barto (HTML and PDF at incompleteideas.net)
- Pattern Recognition and Machine Learning (c2006), by Christopher M. Bishop (PDF at microsoft.com)
- Ethics and Data Science (c2019), by Michael Kosta Loukides, Hilary Mason, and DJ Patil (HTML at oreilly.com)
- A Course in Machine Learning, by Hal Daumé (PDF with commentary at ciml.info)
- Machine Learning, Neural and Statistical Classification, ed. by Donald Michie, D. J. Spiegelhalter, and Charles C. Taylor (PDF and gzipped Postscript in the UK)
Filed under: Machine learning -- Mathematical modelsFiled under: Machine learning -- PeriodicalsFiled under: Computational learning theoryFiled under: Reinforcement learningFiled under: Supervised learning (Machine learning)
Filed under: Boosting (Algorithms)
Filed under: Mathematics- The Essence of Mathematics Through Elementary Problems (Cambridge, UK: Open Book Publishers, c2019), by Alexandre Borovik and A. Gardiner (multiple formats with commentary at Open Book Publishers)
- Six Septembers: Mathematics for the Humanist (Lincoln, NE: Zea Books, 2017), by Patrick Juola and Stephen Ramsay (PDF with commentary at unl.edu)
- An Introduction to Proofs and the Mathematical Vernacular (2015), by Martin V. Day (PDF with commentary at vt.edu)
- Math in Society (Creative Commons edition, c2013), by David Lippmann (PDF, Word, and video files at opentextbookstore.com)
- Acta Academiae Aboensis B: Mathematica et Physica (partial serial archives)
- Exploring Math (c2002), by Kenneth E. Iverson (PDF at jsoftware.com)
- Basic Concepts of Mathematics (electronic edition; West Lafayette, IN: Trillia Group, c2001), by Elias Zakon (PDF with commentary at trillia.com)
- Discrete Mathematics: An Open Introduction (third edition, 2020), by Oscar Levin (illustrated HTML and PDF with commentary at openmathbooks.org)
- Mathematical Tools for Physics (electronic edition, 2004), by James C. Nearing (PDF with commentary at Miami)
- Mathematical Methods in Physics and Engineering (first edition; New York et al.: McGraw-Hill Book Co., 1962), by John W. Dettman (page images at HathiTrust)
- Mathematics for the Physical Sciences (c1962), by Herbert S. Wilf (PDF with commentary here at Penn)
- Mathematics as a Culture Clue, and Other Essays (Collected Works v1; New York: Scripta Mathematica, Yeshiva Univ., 1947), by Cassius Jackson Keyser (page images at HathiTrust)
- Practical Mathematics for Shipfitters and Other Shipyard Workers (New York and Chicago: Pitman Pub. Corp., c1941), by Louis Quentin Moss (page images at HathiTrust)
- A Mathematician's Apology (1940), by G. H. Hardy (PDF in Canada; NO US ACCESS)
- The Mathematics of Novelty: Badiou's Minimalist Metaphysics (2008), by Sam Gillespie (PDF with commentary at re-press.org)
- Mathematics for Students of Agriculture (New York: Macmillan, c1921), by Samuel Eugene Rasor (page images at HathiTrust)
- Elementary Practical Mathematics: With Numerous Exercises for the Use of Students and Especially of Mechanical and Electrical Engineering Students (London, Macmillan and Co., 1913), by John Perry (multiple formats at archive.org)
- The Evanston Colloquium, by Felix Klein (page images at Cornell)
- In Memoriam Dominici Chelini: Collectanea Mathematica (collection in various languages; Milan et al.: U. Hoepli, 1881), ed. by Luigi Cremona and Eugenio Beltrami
- Introduction to Finite Mathematics (second and third published editions, with an electronic fourth edition in preparation), by John G. Kemeny, J. Laurie Snell, and Gerald Luther Thompson (PDF files at Dartmouth)
- An Introduction to Mathematics, by Alfred North Whitehead (Gutenberg LaTeX and PDF)
- Leçons d'Algèbre et d'Analyse, à l'Usage des Élèves des Classes de Mathématiques Spéciales (2 volumes in French; Paris: Gauthier-Villars, 1906), by Jules Tannery
- Lectures on Elementary Mathematics, by J. L. Lagrange (page images at Cornell)
- Practical Foundations of Mathematics, by Paul Taylor (HTML with commentary at paultaylor.eu)
- Principia Mathematica (Cambridge: Cambridge University Press, 1910-1913), by Alfred North Whitehead and Bertrand Russell
- Selected works and commentary, by William Rowan Hamilton (multiple formats in Ireland)
- Audels Machinists and Tool Makers Handy Book (New York: T. Audel and Co., c1941), by Frank Duncan Graham (page images at HathiTrust; US access only)
- The Collected Mathematical Works of George William Hill, by George William Hill
- Mysticism and Logic, and Other Essays (reprint of the 1917 edition), by Bertrand Russell (Gutenberg text and page images)
Filed under: Mathematics -- Data processingMore items available under broader and related terms at left. |