Deep Learning : Foundations and Concepts
Christopher M. Bishop
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Data Science: The Hard Parts : Techniques for Excelling at Data Science
Daniel Vaughan
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Pattern and Chaos in Art, Science and Everyday Life : Critical Intersections and Creative Practice
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Putting Ourselves Back in the Equation : Why Physicists Are Studying Human Consciousness and AI to Unravel the Mysteries of the Universe
George Musser
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The Language of Deception : Weaponizing Next Generation AI
Justin (United States Air Force) Hutchens
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Training Data for Machine Learning
Anthony Sarkis
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Oxford Handbook of Digital Ethics
Carissa V?liz
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The Machine Age : An Idea, a History, a Warning
Robert Skidelsky
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Industry 4.0 : Concepts, Processes and Systems
Ravi Kant
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Artificial Intelligence and the City : Urbanistic Perspectives on AI
Federico Cugurullo
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Handbook of Geospatial Artificial Intelligence
Song Gao
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Basic AI : A Human Guide to Artificial Intelligence
David Shrier
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Distributed Machine Learning Patterns
Yuan Tang
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Pattern and Chaos in Art, Science and Everyday Life : Critical Intersections and Creative Practice
Sarah Horton
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Aesthetics Imperfections
Gianpaolo Tucci
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The Book of Why : The New Science of Cause and Effect
Judea Pearl
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Weapons of Math Destruction : How Big Data Increases Inequality and Threatens Democracy
Cathy O'Neil
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How to Speak Whale : A Voyage into the Future of Animal Communication
Tom Mustill
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Rewired : The McKinsey Guide to Outcompeting in the Age of Digital and AI
Eric Lamarre
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Machine Learning : A Probabilistic Perspective
Kevin P. Murphy
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Superintelligence : Paths, Dangers, Strategies
Nick (Professor in the Faculty of Philosophy & Oxford Martin Bostrom
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A Brief History of Intelligence : Why the Evolution of the Brain Holds the Key to the Future of Ai
Max Bennett
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The Emperor's New Mind : Concerning Computers, Minds, and the Laws of Physics
Roger (University of Oxford) Penrose
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