| Call number | Item |
| Q | Science (Go to start of category) |
| Q223 .O64 2004 | ![[Info]](https://onlinebooks.library.upenn.edu/info.gif) Open Access and the Public Domain in Digital Data and Information for Science: Proceedings of an International Symposium (2004), ed. by Julie M. Esanu and P. F. Uhlir (HTML and page images with commentary at NAP) |
| Q223 .O643 2018 | Open Science by Design: Realizing a Vision for 21st Century Research (c2018), by National Academies of Sciences, Engineering, and Medicine (HTML with commentary at NAP) |
| Q223 .S96 | The Role of Scientific and Technical Data and Information in the Public Domain: Proceedings of a Symposium (2003), ed. by Julie M. Esanu and P. F. Uhlir (page images with commentary at NAP) |
| Q223 .U5242 1989 | Federal Scientific and Technical Information in an Electronic Age: Opportunities and Challenges (1989), by United States Congress Office of Technology Assessment |
| Q224.3 .U6 H45 1990 | Helping America Compete: The Role of Federal Scientific and Technical Information (1990), by United States Congress Office of Technology Assessment |
| Q224.3 .U6 N37 | Preserving Scientific Data On Our Physical Universe: A New Strategy for Archiving the Nation's Scientific Information Resources (1995), by National Research Council Commission on Physical Sciences, Mathematics, and Applications (page images with commentary at NAP) |
| Q224.5 .M44 2019 | Science Communication Online: Engaging Experts and Publics on the Internet (Columbus, OH: Ohio State University Press, 2019), by Ashley Rose Mehlenbacher (PDF at Ohio State) |
| Q225 .H45 1991 | Headline News, Science Views (1991), ed. by David Jarmul (page images with commentary at NAP) |
| Q225 .H45 1993 | Headline News, Science Views II (1993), ed. by David Jarmul (page images with commentary at NAP) |
| Q225.2.U6 H378 | Worlds Apart: How the Distance Between Science and Journalism Threatens America's Future, by Jim Hartz and Rick Chappell (PDF at Freedom Forum) |
| Q295 .E33 1987 | A Fuller Explanation: The Synergetic Geometry of R. Buckminster Fuller (1987 edition), by Amy C. Edmondson (HTML at pauladaunt.com) |
| Q295 .E33 2007 | A Fuller Explanation: The Synergetic Geometry of R. Buckminster Fuller (Pueblo, CO: EmergentWorld Press, c2007), by Amy C. Edmondson (page images at Google) |
| Q295 .F84 | Synergetics: Explorations in the Geometry of Thinking (electronic edition), by R. Buckminster Fuller and E. J. Applewhite (HTML at rwgrayprojects.com) |
| Q295 .G64 1994 | Chaotic Logic: Language, Thought and Reality From the Perspective of Complex Systems Science (prepublication version), by Ben Goertzel (HTML at goertzel.org) |
| Q300 .M688 | Journal of Machine Learning Research (2000-) (full serial archives) |
| Q325.5 .B36 2019 | Fairness and Machine Learning: Limitations and Opportunities (prepublication version; 2019), by Solon Barocas, Moritz Hardt, and Arvind Narayanan (HTML with commentary at fairmlbook.org) |
| Q325.5 .D45 2020 | 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) |
| Q325.5 .G6 | Deep Learning (prepublication version; 2016), by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (illustrated HTML with commentary at deeplearningbook.org) |
| Q325.5 .G68 2020 | Probabilistic Machine Learning for Civil Engineers (prepublication version; 2020), by James-A. Goulet (PDF files with commentary at polymtl.ca) |
| Q325.5 .H364 2020 | Graph Representation Learning (prepublication version, 2020), by William L. Hamilton (PDF at McGill) |
| Q325.5 .M324 | Machine Learning, Neural and Statistical Classification, ed. by Donald Michie, D. J. Spiegelhalter, and Charles C. Taylor (PDF and gzipped Postscript in the UK) |
| Q325.5 .M58 1997 | Machine Learning (main text c1997; additional chapters c2017), by Tom M. Mitchell (PDF with commentary at CMU) |
| Q325.5 .M64 2018 | 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) |
| Q325.5 .P48 2017 | 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) |
| Q325.6 .S88 | 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) |