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Browsing Library of Congress Call Numbers : "Q325.5 .H364 2020" to "Q370 .G73" (Overview; Include extended shelves)

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Call number Item
Q Science (Go to start of category)
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)
Q334.7 .C45 2022 [Info] Can We Trust AI? (Baltimore: Johns Hopkins University Press, c2022), by Rama Chellappa, contrib. by Eric Niiler (multiple formats with commentary at Project MUSE)
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 .T69 2018 [Info] Towards a New Enlightenment? A Transcendent Decade (Madrid: BBVA, c2018), contrib. by Francisco González Rodríguez, Martin J. Rees, José M. Sánchez Ron, María Martinón-Torres, Alex Pentland, Sandeep Tiwari, Joanna J. Bryson, Ramon López de Mántaras, José M. Mato, Daniela Rus, Samuel H. Sternberg, Peter Kalmus, Ernesto Zedillo Ponce de León, Victoria Robinson, Barry J. Eichengreen, Michelle Baddeley, Nancy H. Chau, S. M. Ravi Kanbur, Vivien Ann Schmidt, Diana Marie Owen, Yang Xu, Carlo Ratti, and Amos N. Guiora (multiple formats 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)
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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