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Books with the subject: Ai & Machine Learning
Up to 20 books are listed, in descending order of popularity
Superintelligence: Paths, Dangers, Strategies
Nick Bostrom
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Deep Learning (Adaptive Computation and Machine Learning Series)
Ian Goodfellow
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Turtles, Termites, and Traffic Jams: Explorations in Massively Parallel Microworlds
Mitchel Resnick
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Fluid Concepts and Creative Analogies: Computer Models Of The Fundamental Mechanisms Of Thought
Douglas R Hofstadter
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You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place
Janelle Shane
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Lifebox, the Seashell, and the Soul
Rudy Rucker
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Introduction to Autonomous Mobile Robots
Roland Siegwart
,
Illah R Nourbakhsh
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How to Build a Speech Recognition Application: Second Edition
Bruce Balentine
,
David P Morgan
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The Alignment Problem: Machine Learning and Human Values
Brian Christian
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Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again
Eric Topol
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A World Without Work: Technology, Automation, and How We Should Respond
Daniel Susskind
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Richard S Sutton
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Understanding Beliefs
Nils J Nilsson
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From Newspeak to Cyberspeak: A History of Soviet Cybernetics
Slava Gerovitch
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Thinking Machines: The Quest for Artificial Intelligence--and Where It's Taking Us Next
Luke Dormehl
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Attention and performance XV
edited by Carlo Umilt?a and Morris Moscovitch
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Machine Learning in Action
Peter Harrington
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Smart Machines: IBM's Watson and the Era of Cognitive Computing
John E Kelly III
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Steve Hamm
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