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Biologically-Inspired Computing for the Arts (Scientific Data Through Graphics)

By Anna Ursyn

Biologically-Inspired Computing for the Arts (Scientific Data Through Graphics)

By Anna Ursyn

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Cloud Computing Service and Deployment Models (Layers and Management)

By Alberto M. Bento, Anil Aggarwal

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Algorithmic Short Selling with Python (Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product)

By Laurent Bernut, Michael Covel

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By Laurent Bernut, Michael Covel

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Neural Networks (Step-By-Step Understand How Neural Networks Work, Starting with Simple Ideas)

By Matthew Harper

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Neural Networks and Intellect (Using Model Based Concepts)

By Leonid Perlovsky

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Theory of neural information processing systems

By A.C.C. Coolen, R. Kuehn, P. Sollich

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By A.C.C. Coolen, R. Kuehn, P. Sollich

£77.86

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By A. C. C. Coolen, R. Kuehn, P. Sollich

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By A. C. C. Coolen, R. Kuehn, P. Sollich

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Pattern Recognition in Industry

By Phiroz Bhagat

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By Phiroz Bhagat

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Calculus of Thought (Neuromorphic Logistic Regression in Cognitive Machines)

By Daniel M. Rice

Calculus of Thought (Neuromorphic Logistic Regression in Cognitive Machines)

By Daniel M. Rice

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Deep Learning Illustrated (A Visual, Interactive Guide to Artificial Intelligence (Addison-Wesley Data & Analytics Series))

By Krohn, Jon, Beyleveld, Grant, Aglaé Bassens

Deep Learning Illustrated (A Visual, Interactive Guide to Artificial Intelligence (Addison-Wesley Data & Analytics Series))

By Krohn, Jon, Beyleveld, Grant, Aglaé Bassens

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Elements of Causal Inference (Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series))

By Bernhard Scholkopf, Jonas Peters, Dominik Janzing

Elements of Causal Inference (Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series))

By Bernhard Scholkopf, Jonas Peters, Dominik Janzing

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Reinforcement Learning (An Introduction (Adaptive Computation and Machine Learning series))

By Sutton, Richard S., Barto, Andrew G.

Reinforcement Learning (An Introduction (Adaptive Computation and Machine Learning series))

By Sutton, Richard S., Barto, Andrew G.

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776

Verifying Cyber-Physical Systems (A Path to Safe Autonomy (Cyber Physical Systems Series))

By Mitra, Sayan

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Prince, S (Understanding Deep Learning)

By Prince, Simon J. D.

Prince, S (Understanding Deep Learning)

By Prince, Simon J. D.

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Multi-Agent Reinforcement Learning (Foundations and Modern Approaches)

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Multi-Agent Reinforcement Learning (Foundations and Modern Approaches)

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An Introduction to Natural Computation (Complex Adaptive Systems)

By Ballard, Dana H.

An Introduction to Natural Computation (Complex Adaptive Systems)

By Ballard, Dana H.

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Neural Smithing (Supervised Learning in Feedforward Artificial Neural Networks (A Bradford Book))

By Reed, Russell, Marks, Robert J., II

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By Reed, Russell, Marks, Robert J., II

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Perceptrons, Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou (An Introduction to Computational Geometry)

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54

The Cortex and the Critical Point (Understanding the Power of Emergence)

By Beggs, John M.

The Cortex and the Critical Point (Understanding the Power of Emergence)

By Beggs, John M.

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Computational Explorations in Cognitive Neuroscience (Understanding the Mind by Simulating the Brain (Bradford Book A))

By O'Reilly, Randall C., Munakata, Yuko, James L. McClelland

Computational Explorations in Cognitive Neuroscience (Understanding the Mind by Simulating the Brain (Bradford Book A))

By O'Reilly, Randall C., Munakata, Yuko, James L. McClelland

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The Mind within the Net (Models of Learning, Thinking, and Acting (Bradford Book A))

By Manfred

The Mind within the Net (Models of Learning, Thinking, and Acting (Bradford Book A))

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