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Books with the subject: Machine Learning
Up to 20 books are listed, in descending order of popularity
Superintelligence: Paths, Dangers, Strategies
Nick Bostrom
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The Elements of Statistical Learning: Data Mining, Inference and Prediction (Springer Series in Statistics)
T Hastie
,
R Tibshirani
,
J Friedman
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Machine Learning
Tom M Mitchell
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Deep Learning (Adaptive Computation and Machine Learning Series)
Ian Goodfellow
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Blondie 24: Playing At The Edge of AI
David B Fogel
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Turtles, Termites, and Traffic Jams: Explorations in Massively Parallel Microworlds
Mitchel Resnick
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Machine Learning: A Probabilistic Perspective
Kevin P Murphy
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Foundations of Machine Learning
Mehryar Mohri
,
Afshin Rostamizadeh
,
Ameet Talwalkar
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Pattern Recognition and Machine Learning (Information Science and Statistics)
Christopher M Bishop
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Fluid Concepts and Creative Analogies: Computer Models Of The Fundamental Mechanisms Of Thought
Douglas R Hofstadter
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Introduction to Autonomous Mobile Robots
Roland Siegwart
,
Illah R Nourbakhsh
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Lifebox, the Seashell, and the Soul
Rudy Rucker
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How to Build a Speech Recognition Application: Second Edition
Bruce Balentine
,
David P Morgan
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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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Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again
Eric Topol
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Aurélien Géron
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The Alignment Problem: Machine Learning and Human Values
Brian Christian
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A World Without Work: Technology, Automation, and How We Should Respond
Daniel Susskind
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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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