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Q315 .P37 : Parsegian, Vozcan Lawrence,
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This cybernetic world of men, machines, and earth systems / by V. L. Parsegian. -
Moore Stacks:Available
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Book
|
1972
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Q315 .P5
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Philosophy and cybernetics; essays delivered to the Philosophic Institute for Artificial Intelligence
Moore Stacks:Available
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Book
|
1967
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Q316 : National Academies of Sciences, Engineering, and Medicine (U.S.).
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A 21st century cyber-physical systems education / Committee on 21st Century Cyber-Physical Systems Ed
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Bestseller
|
2016
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Q320
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Biomimétisme : il y a du génie dans la nature! / Jean-Philippe Camborde ; préface de Gilles Boeuf.
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Bestseller
|
2018
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Process heat transfer : principles and applications / R.W. Serth.
|
Bestseller
|
2014
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Q320 .C9 1964 : Cybernetic Sciences Symposium
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Biophysics and cybernetic systems; prceedings of the Second Cybernetic Sciences Symposium / edited by
Moore Stacks:Available
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Book
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1965
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Q320 .F63 2012
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Focus on biomimetics research / editors, Abele Scipione.
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Bestseller
|
2013
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Q320 .G4 : George, F. H.
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Cybernetics and biology / by F. H. George.
Moore Stacks:Available
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Book
|
1965
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Q320 .T7613 : T͡Setlin, Mikhail Lʹvovich,
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Automaton theory and modeling of biological systems / M.L. Tsetlin. Translated by Scitran (Scientific
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Bestseller
|
1973
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Q324.4 .S25 2011eb : Saitta, Lorenza,
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Phase transitions in machine learning / Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols.
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Bestseller
|
2011
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|
Q325
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Adaptation and evolution in collective systems / Akira Namatame.
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Bestseller
|
2006
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Consciousness and robot sentience / Pentti O. Haikonen.
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Bestseller
|
2012
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Q325 .A78 2010eb : Wivace
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|
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Artificial Life and Evolutionary Computation : Proceedings of Wivace 2008, Venice, Italy, 8-10 Septem
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Bestseller
|
2010
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Q325 .C748t : Conference on Cybernetics
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Transactions. / Edited by Heinz von Foerster [and others]
Moore Stacks:Available
|
Book
|
1950
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Q325 .F6 : Formby, John.
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An introduction to the mathematical formulation of self-organizing systems / John Formby.
Moore Stacks:Available
|
Book
|
1965
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Q325 .F65 1986 : Forsyth, Richard.
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|
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Machine learning : applications in expert systems and information retrieval / R. Forsyth and R. Rada.
Moore Stacks:Available
|
Book
|
1986
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Q325 .H39 2012eb : Haykin, Simon S.,
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|
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Cognitive dynamic systems : perception--action cycle, radar, and radio / Simon Haykin.
|
Bestseller
|
2012
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Q325 .J65 2002 : Johnson, Steven.
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|
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Emergence : the connected lives of ants, brains, cities, and software / Steven Johnson.
Moore Stacks:Available
|
Book
|
2002
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|
Q325 .M32 1983
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|
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Machine learning : an artificial intelligence approach / contributing authors, John Anderson ... [and
Moore Stacks:Available
|
Book
|
1983
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|
Q325 .P68 1985 : Poundstone, William.
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|
|
The recursive universe : cosmic complexity and the limits of scientific knowledge / William Poundston
Moore Stacks:Available
|
Book
|
1985
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Q325 .S436 2011eb : Seaman, Bill,
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|
|
Neosentience : the benevolence engine / Bill Seaman and Otto E. Rössler.
|
Bestseller
|
2011
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|
Q325 .S437 2013eb
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|
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Self-organization : theories and methods / editors, WenJun Zhang.
|
Bestseller
|
2013
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Q325 .S93 2012eb
|
|
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System thinking in the control of organizational and technical problems / [edited by] I. Gorgidze ...
|
Bestseller
|
2012
|
|
Q325 .T7413 1973eb : T͡Sypkin, I͡A. Z.
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|
|
Foundations of the theory of learning systems / Ya. Z. Tsypkin ; translated by Z.J. Nikolic.
|
Bestseller
|
1973
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|
Q325.4 .T47 2000eb : Thornton, Christopher James.
|
|
|
Truth from trash : how learning makes sense / Chris Thornton.
|
Bestseller
|
2000
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Q325.5
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|
ADVANCED DEEP LEARNING WITH TENSORFLOW 2 AND KERAS : APPLY DL, GANS, VAES, DEEP RL, UNSUPERVISED LEAR
|
Bestseller
|
2020
|
Advanced machine learning with R : tackle data analytics and machine learning challenges and build co
|
Bestseller
|
2019
|
Apache Mahout clustering designs : explore the clustering algorithms used with Apache Mahout / Ashish
|
Bestseller
|
2015
|
Apache Spark 2.x machine learning cookbook : over 100 recipes to simplify machine learning model impl
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Bestseller
|
2017
|
101 additional entries
|
|
|
|
Q325.5 .A32 1999eb
|
|
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Advances in kernel methods : support vector learning / edited by Bernhard Schölkopf, Christopher J.C.
|
Bestseller
|
1999
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|
Q325.5 .A34 2000eb
|
|
|
Advances in large margin classifiers / edited by Alexander J. Smola [and others].
|
Bestseller
|
2000
|
|
Q325.5 .A383 2014eb
|
|
|
Advances in machine learning research / Sharad Shandilya, editor.
|
Bestseller
|
2014
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|
Q325.5 .A47 2021eb : Alpaydin, Ethem,
|
|
|
Machine learning / Ethem Alpaydin.
|
Bestseller
|
2021
|
|
Q325.5 .A57 2020 : Amr, Tarek,
|
|
|
Hands-on machine learning with scikit-learn and scientific Python toolkits : a practical guide to imp
|
Bestseller
|
2020
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Q325.5 .A94 2020 : Auffarth, Ben.
|
|
|
Artificial intelligence with python cookbook : proven recipes for applying ai algorithms and deep lea
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Bestseller
|
2020
|
|
Q325.5 .B35 2016eb : Bali, Raghav,
|
|
|
R machine learning by example : understand the fundamentals of machine learning with R and build your
|
Bestseller
|
2016
|
|
Q325.5 .B66 2017eb : Bonnin, Rodolfo,
|
|
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Machine learning for developers : uplift your regular applications with the power of statistics, anal
|
Bestseller
|
2017
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|
Q325.5 .B74 1996eb : Briscoe, Garry.
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|
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A compendium of machine learning. Vol. 1, Symbolic machine learning / Garry Briscoe, Terry Caelli.
|
Bestseller
|
1996
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|
Q325.5 .C35 2021 : Callahan, Emily A.
|
|
|
Using systems applications to inform obesity solutions : proceedings of a workshop / Emily A. Callaha
|
Bestseller
|
2021
|
|
Q325.5 .C449 2018 : Chew, Xuanyi.
|
|
|
Go Machine Learning Projects : Eight Projects Demonstrating End-To-end Machine Learning and Predictiv
|
Bestseller
|
2018
|
|
Q325.5 .C533 2018 : Ciaburro, Giuseppe.
|
|
|
Keras Reinforcement Learning Projects : 9 Projects Exploring Popular Reinforcement Learning Technique
|
Bestseller
|
2018
|
|
Q325.5 .D37 2009
|
|
|
Dataset shift in machine learning / [edited by] Joaquin Quiñonero-Candela ... [and others].
|
Bestseller
|
2009
|
|
Q325.5 .D39 2020 : Dawani, Jay,
|
|
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Hands-on mathematics for deep learning : build a solid mathematical foundation for training efficient
|
Bestseller
|
2020
|
|
Q325.5 .F74 1998eb : Frey, Brendan J.
|
|
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Graphical models for machine learning and digital communication / Brendan J. Frey.
|
Bestseller
|
1998
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|
Q325.5 .F846 2018 : Fuentes, Alvaro.
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|
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Mastering Predictive Analytics with Scikit-Learn and TensorFlow : Implement Machine Learning Techniqu
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Bestseller
|
2018
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Q325.5 .G37 2013eb : Garreta, Raúl.
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|
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Learning scikit-learn : machine learning in Python : experience the benefits of machine learning tech
|
Bestseller
|
2013
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Q325.5 .H48 2002eb : Herbrich, Ralf.
|
|
|
Learning kernel classifiers : theory and algorithms / Ralf Herbrich.
|
Bestseller
|
2002
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|
Q325.5 .H63 2019 : Hodnett, Mark.
|
|
|
Deep Learning with R for Beginners : Design Neural Network Models in R 3. 5 Using TensorFlow, Keras,
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Bestseller
|
2019
|
|
Q325.5 .I583 2022 : International Conference on Machine Learning and Intelligent Systems
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Machine learning and artificial intelligence : proceedings of MLIS 2022 / edited by Jon-Lark Kim.
|
Bestseller
|
2022
|
|
Q325.5 .J37 2011eb : Japkowicz, Nathalie.
|
|
|
Evaluating Learning Algorithms : a classification perspective / Nathalie Japkowicz, Mohak Shah.
|
Bestseller
|
2011
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|
Q325.5 .J69 2019 : Joseph, Anthony D.,
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|
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Adversarial machine learning / Anthony D. Joseph, University of California, Berkeley, Blaine Nelson,
Moore Stacks:Available
|
Book
|
2019
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|
Q325.5 .K36 2017eb : Kamath, Uday,
|
|
|
Mastering Java machine learning : mastering and implementing advanced techniques in machine learning
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Bestseller
|
2017
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|
Q325.5 .K44 1994eb : Kearns, Michael J.
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|
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An introduction to computational learning theory / Michael J. Kearns, Umesh V. Vazirani.
|
Bestseller
|
1994
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|
Q325.5 .L367 2019 : Lantz, Brett,
|
|
|
Machine learning with R : expert techniques for predictive modeling / Brett Lantz.
|
Bestseller
|
2019
|
|
Q325.5 .L37 2020 : Lapan, Maxim,
|
|
|
Deep reinforcement learning hands-on : apply modern RL methods to practical problems of chatbots, rob
|
Bestseller
|
2020
|
|