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Books like Introduction to artificial intelligence by Philip C. Jackson


First publish date: 1974
Genre: Technology & Computing/Artificial Intelligence
Authors: Philip C. Jackson
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Introduction to artificial intelligence by Philip C. Jackson

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Books similar to Introduction to artificial intelligence (12 similar books)

Artificial intelligence by 8706355|Stuart J. Russell book cover

📘 Artificial intelligence
 by Stuart J. Russell

A comprehensive, up‑to‑date introduction to the theory and practice of artificial intelligence.

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AI superpowers by 13832701|Kai-Fu Lee book cover

📘 AI superpowers
 by Kai-Fu Lee

Kai‑Fu Lee explains how China has rapidly closed the gap with the United States in artificial intelligence, outlining the economic and labor implications of this emerging AI duopoly and proposing practical responses to the coming disruptions.

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Deep Learning by 11775475|Ian Goodfellow book cover

📘 Deep Learning
 by Ian Goodfellow

Deep Learning is a comprehensive textbook that equips students and practitioners with the foundational knowledge and practical skills needed to enter the fields of machine learning and deep learning.

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Artificial intelligence by 6781948|Patrick Henry Winston book cover

📘 Artificial intelligence
 by Patrick Henry Winston


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Artificial intelligence by 8315746|George F. Luger book cover

📘 Artificial intelligence
 by George F. Luger

A foundational guide to artificial intelligence, covering problem solving, knowledge representation, and the use of programming languages like Lisp and Prolog.

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Introducing Artifical Intelligence by 7443988|Henry Brighton book cover

📘 Introducing Artifical Intelligence
 by Henry Brighton


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The cult of information by 552209|Roszak, Theodore book cover

📘 The cult of information
 by Roszak, Theodore


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The science of artificial intelligence by 861382|Fred D'Ignazio book cover

📘 The science of artificial intelligence
 by Fred D'Ignazio

Defines artificial intelligence, compares it with human intelligence, and explains how it is being used in computer technology and robotics.

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An introduction to artificial intelligence by 6946517|Janet Finlay book cover

📘 An introduction to artificial intelligence
 by Janet Finlay

"In this authoritative and accessible one-stop introduction to artificial intelligence, a full first course in AI is presented, making it ideal for a modular undergraduate degree scheme or Masters conversion course." "The book has been designed to provide an understanding of the foundations of artificial intelligence. It examines the central computational techniques embraced by AI - knowledge representation, search, reasoning and learning - and the principal application domains - experts systems, natural language, vision, robotics, software agents and cognitive modelling. In a concluding section some of the major philosophical and ethical issues of AI are also introduced."--BOOK JACKET.

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Mind Over Machine by 12683064|Hubert L. Dreyfus book cover

📘 Mind Over Machine
 by Hubert L. Dreyfus

The author challenges the notion of replicating human intelligence with computers.

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Computation and cognition by 2531650|Zenon W. Pylyshyn book cover

📘 Computation and cognition
 by Zenon W. Pylyshyn


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Python machine learning by 11634595|Sebastian Raschka book cover

📘 Python machine learning
 by Sebastian Raschka

Explore Python’s powerful libraries—scikit‑learn, Theano, Pylearn2—to build machine learning models, perform data mining, and analyze natural language, all while learning how to unlock predictive insights for business growth.

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Some Other Similar Books

Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
Artificial Intelligence: Foundations of Computational Agents by David L. Poole, Alan K. Mackworth
Artificial Intelligence: A New Synthesis by Nils J. Nilsson
Artificial Intelligence: Foundations and Applications by Lenny D. Bora
Artificial Intelligence: Structures and Strategies for Complex Problem Solving by George Luger
Artificial Intelligence: A Modern Approach by Stuart Russell, Peter Norvig
Artificial Intelligence: A Guide to Intelligent Systems by Michael Negnevitsky
Pattern Recognition and Machine Learning by Christopher Bishop

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