The Online Books Page

Machine learning -- Mathematical models

See also what's at your library, or elsewhere.

• Machine learning
• Mathematical models

• Gaussian Processes for Machine Learning (online edition; originally published Cambridge, MA and London: MIT Press, c2006), by Carl Edward Rasmussen and Christopher K. I. Williams (PDF with commentary at gaussianprocess.org)

Items below (if any) are from related and broader terms.

• 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)
• A Course in Machine Learning (online edition; 2017), by Hal Daumé (PDF with commentary at Wayback Machine)
• 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)
• Machine Learning, Neural and Statistical Classification, ed. by Donald Michie, D. J. Spiegelhalter, and Charles C. Taylor (PDF and gzipped Postscript in the UK)

• Mathematics for Machine Learning (prepublication free online edition; 2020), by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong (PDF with commentary at github.io)

• Fairness and Machine Learning: Limitations and Opportunities (prepublication version; 2019), by Solon Barocas, Moritz Hardt, and Arvind Narayanan (HTML with commentary at fairmlbook.org)

• Journal of Machine Learning Research (2000-) (full serial archives)
• Mathematical Statistics and Learning (partial serial archives)

• Learning Deep Architectures for AI (c2009), by Yoshua Bengio (PDF at Wayback Machine)

• 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)

• Boosting: Foundations and Algorithms (Cambridge, MA and London: MIT Press, c2012), by Robert E. Schapire and Yoav Freund (HTML with commentary at MIT Press)

• Boosting: Foundations and Algorithms (Cambridge, MA and London: MIT Press, c2012), by Robert E. Schapire and Yoav Freund (HTML with commentary at MIT Press)

• An Introduction to Statistical Learning, With Applications in R (corrected first edition and second edition; 2017 and 2021), by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (PDF with commentary at statlearning.com)
• Modeling with Data (Princeton : Princeton University Press, c2009), by Ben Klemens (PDF with commentary at modelingwithdata.org)

• Physical Modeling in MATLAB, by Allen Downey (multiple formats at Green Tea Press)

• ESAIM: Mathematical Modelling and Numerical Analysis (partial serial archives)

• An Introduction to Statistical Learning, With Applications in R (corrected first edition and second edition; 2017 and 2021), by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani (PDF with commentary at statlearning.com)

• Modeling and Simulation in Python (version 3.4.3; Needham, MA: Green Tea Press, 2017), by Allen Downey (PDF with commentary at Green Tea Press)
• The Nature of Code (c2012), by Daniel Shiffman, ed. by Shannon Fry, illust. by Zannah Marsh (illustrated HTML with commentary at natureofcode.com)
• A Practical Manual on the Monte Carlo Method for Random Walk Problems (Los Alamos, NM: Los Alamos Scientific Laboratory of the University of California, 1957), by E. D. Cashwell and C. J. Everett, contrib. by O. W. Rechard (page images at HathiTrust)

• Game Theory (second edition, c2018), by Giacomo Bonanno (PDF with commentary at UC Davis)
• Economics and Language: Five Essays (2000), by Ariel Rubinstein (PDF in Israel)
• Economic Fables (Cambridge, UK: Open Book Publishers, c2012), by Ariel Rubinstein
  • PDF and HTML with commentary at Open Book Publishers
  • page images at Google
• Climate Games: Experiments on How People Prevent Disaster (Ann Arbor: University of Michigan Press, 2024), by Talbot M. Andrews, Andrew W. Delton, and Reuben Kline (multiple formats with commentary at fulcrum.org)
• The Strategic Constitution (prepublication version, 1999), by Robert Cooter (PDF at bepress.com)
• Modeling Bounded Rationality (1998), by Ariel Rubinstein (PDF in Israel)
• Rules, Games, and Common-Pool Resources (Ann Arbor: University of Michigan Press, c1994), ed. by Elinor Ostrom, Roy Gardner, and James Walker (page images at HathiTrust)
• Bargaining and Markets (electronic edition; with corrections from 1990 edition), by Martin J. Osborne and Ariel Rubinstein (PDF files with commentary at Toronto)

• Statistical Learning With Sparsity: The Lasso and Generalizations (corrected online edition, 2016), by Trevor Hastie, Robert Tibshirani, and Martin Wainwright (PDF with commentary at Stanford)

• A Practical Manual on the Monte Carlo Method for Random Walk Problems (Los Alamos, NM: Los Alamos Scientific Laboratory of the University of California, 1957), by E. D. Cashwell and C. J. Everett, contrib. by O. W. Rechard (page images at HathiTrust)

• Determination of Azimuth Angle at Burnout for Placing a Satellite Over a Selected Earth Position (NASA Technical Note D-233; 1960), by T. H. Skopinski and Katherine G. Johnson (page images at HathiTrust)

• Determination of Azimuth Angle at Burnout for Placing a Satellite Over a Selected Earth Position (NASA Technical Note D-233; 1960), by T. H. Skopinski and Katherine G. Johnson (page images at HathiTrust)

• Bank Management and Portfolio Behavior (Cowles Foundation monograph #25; New Haven and London: Yale University Press, 1975), by Donald D. Hester and James L. Pierce (PDF at Yale)

• Numerical Methods and Modeling for Chemical Engineers (New York et al.: Wiley, c1984), by Mark E. Davis (PDF files at Caltech)

• Urban Travel Demand: A Behavioral Analysis, by Thomas A. Domencich and Daniel L. McFadden (PDF files at Berkeley)

• GOALS (Global Ocean-Atmosphere-Land System) for Predicting Seasonal-to-Interannual Climate (1994), by National Research Council Climate Research Committee (page images with commentary at NAP)

• Urban Travel Demand: A Behavioral Analysis, by Thomas A. Domencich and Daniel L. McFadden (PDF files at Berkeley)

• Economic Theory of Teams (Cowles Foundation monograph #22; New Haven and London: Yale University Press, 1972), by Jacob Marschak and Roy Radner (PDF at Yale)
• Decision Making Under Uncertainty: Theory and Application (Cambridge, MA and London: MIT Press, c2015), by Mykel J. Kochenderfer (PDF at Stanford)

• The Theoretical Foundation of Dendritic Function: Selected Papers of Wilfrid Rall With Commentaries (Cambridge, MA and London: MIT Press, c1995), by Wilfrid Rall, ed. by Idan Segev, John Rinzel, and Gordon M. Shepherd (PDF with commentary at MIT Press)

• Dispersion Simulation Techniques for Assessing the Air Pollution Impacts of Ground Transportation Systems (Chicago: Illinois Institute for Environmental Quality, 1974), by L. J. Habegger, T. D. Wolsko, J. E. Camaioni, David A. Kellermeyer, and Peter A. Dauzvardis (page images at HathiTrust)

More items available under broader and related terms at left.