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Browsing Library of Congress Call Numbers : "Q225.2.U6 H378" to "Q370 .G73" (Overview; Include extended shelves)

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Call number Item
Q Science (Go to start of category)
Q225.2.U6 H378 [Info] 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 [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 .G6 [Info] Deep Learning (prepublication version; 2016), by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (illustrated HTML with commentary at
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 .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
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)
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 .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
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)
Q370 .G73 [Info] Entropy and Information Theory (electronic edition, 2000), by Robert M. Gray (PDF at Stanford)

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