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Browsing Library of Congress Call Numbers : "Q295 .E33 1987" to "Q335 .W56 1993" (Overview; Include extended shelves)

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Call number Item
Q Science (Go to start of category)
Q295 .E33 1987 [Info] A Fuller Explanation: The Synergetic Geometry of R. Buckminster Fuller (1987 edition), by Amy C. Edmondson (HTML at
Q295 .E33 2007 [Info] 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 [Info] Synergetics: Explorations in the Geometry of Thinking (electronic edition), by R. Buckminster Fuller and E. J. Applewhite (HTML at
Q295 .G64 1994 [Info] Chaotic Logic: Language, Thought and Reality From the Perspective of Complex Systems Science (prepublication version), by Ben Goertzel (HTML at
Q300 .M688 [Info] Journal of Machine Learning Research (2000-) (full serial archives)
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
Q325.5 .G6 [Info] Deep Learning (prepublication version; 2016), by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (illustrated HTML with commentary at
Q325.5 .G68 2020 [Info] Probabilistic Machine Learning for Civil Engineers (prepublication version; 2020), by James-A. Goulet (PDF files with commentary at
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
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
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
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
Q335 .F88 2018 [Info] The Future Computed: Artificial Intelligence and its Role in Society (2018), by Microsoft Corporation (PDF with commentary at
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
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
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)

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