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Browsing Library of Congress Call Numbers : "Q325.5 .D45 2020" to "Q360 .R43 1961" (Overview; Include extended shelves)

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Call number Item
Q Science (Go to start of category)
Q325.5 .D45 2020 [Info] 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 [Info] Deep Learning (prepublication version; 2016), by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (illustrated HTML with commentary at deeplearningbook.org)
Q325.5 .G68 2020 [Info] Probabilistic Machine Learning for Civil Engineers (prepublication version; 2020), by James-A. Goulet (PDF files with commentary at polymtl.ca)
Q325.5 .H364 2020 [Info] Graph Representation Learning (prepublication version, 2020), by William L. Hamilton (PDF at McGill)
Q325.5 .M324 [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)
Q325.5 .M58 1997 [Info] Machine Learning (main text c1997; additional chapters c2017), by Tom M. Mitchell (PDF with commentary at CMU)
Q325.5 .M64 2018 [Info] 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 [Info] 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 [Info] 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)
Q325.7 .B465 2009 [Info] Learning Deep Architectures for AI (c2009), by Yoshua Bengio (PDF at Wayback Machine)
Q325.75 .H37 [Info] 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)
Q325.75 .S33 2012 [Info] Boosting: Foundations and Algorithms (Cambridge, MA and London: MIT Press, c2012), by Robert E. Schapire and Yoav Freund (HTML with commentary at MIT Press)
Q327 .B52 2006 [Info] Pattern Recognition and Machine Learning (c2006), by Christopher M. Bishop (PDF at microsoft.com)
Q334 .J68 [Info] Journal of Artificial Intelligence Research (1993-) (full serial archives)
Q335 .A74 2002 [Info] Are We Spiritual Machines? Ray Kurzweil vs. the Critics of Strong A.I. (c2002), ed. by Jay W. Richards, contrib. by Ray Kurzweil, John R. Searle, Michael J. Denton, William A. Dembski, Thomas S. Ray, and George F. Gilder (at kurzweilai.net)
Q335 .F88 2018 [Info] The Future Computed: Artificial Intelligence and its Role in Society (2018), by Microsoft Corporation (PDF with commentary at microsoft.com)
Q335 .K53 2003 [Info] Artificial Intelligence and Responsive Optimization (second edition, 2003), by Mohammad Khosnevisan, Sukanto Bhattacharya, and Florentin Smarandache (PDF at UNM)
Q335 .K87 1992 [Info] The Age of Intelligent Machines (c1992), by Ray Kurzweil (at kurzweilai.net)
Q335 .M2322 2019 [Info] This Could Be Important: My Life and Times with the Artificial Intelligentsia (Pittsburgh: ETC Press, c2019), by Pamela McCorduck (HTML with commentary at pressbooks.com)
Q335 .W56 1993 [Info] Artificial Intelligence (third edition, reprinted with corrections; Reading, MA et al.: Addison-Wesley Pub. Co., 1993), by Patrick Henry Winston (PDF at MIT)
Q335.7 .M33 1996 [Info] Defending AI Research: A Collection of Essays and Reviews (c1996), by John McCarthy (PDF at Stanford)
Q342 .P66 2017 [Info] Artificial Intelligence: Foundations of Computational Agents (second edition, 2017), by David L. Poole and Alan K. Mackworth (illustrated HTML with commentary at artintinfo)
Q360 .G5813 2005 [Info] In the Beginning Was Information: A Scientist Explains the Incredible Design in Nature (Green Forest, AR: Master Books, 2005), by Werner Gitt (illustrated HTML with commentary at answersingenesis.org)
Q360 .M23 2003 [Info] Information Theory, Inference, and Learning Algorithms (2003), by David J. C. MacKay (multiple formats with commentary in the UK)
Q360 .R43 1961 [Info] An Introduction to Information Theory (New York et al.: McGraw-Hill, 1961), by Fazlollah M. Reza (page images at HathiTrust)

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