Books like Artificial Intelligence by Michael Wooldridge


First publish date: 2018
Authors: Michael Wooldridge
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Artificial Intelligence by Michael Wooldridge

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Books similar to Artificial Intelligence (9 similar books)

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πŸ“˜ Machine Learning


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πŸ“˜ The Hundred-Page Machine Learning Book


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πŸ“˜ Pattern Recognition and Machine Learning


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

πŸ“˜ An introduction to artificial intelligence

"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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πŸ“˜ Artificial Intelligence


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πŸ“˜ Artificial Intelligence


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πŸ“˜ Artificial Intelligence


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Some Other Similar Books

Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
Artificial Intelligence: Foundations of Computational Agents by David L. Poole and Alan K. Mackworth
Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman
AI: A Very Short Introduction by Margaret A. Boden
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
Artificial Intelligence: Foundations of Computational Agents by David L. Poole and Alan K. Mackworth
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman
Learning from Data by Younes Bensouda Mourri and Roberto Tamassia
Artificial Intelligence: Structures and Strategies for Complex Problem Solving by George F. Luger

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