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Books like Artificial Intelligence by Michael Negnevitsky

Name: Artificial Intelligence
Author: Michael Negnevitsky

📘 Artificial Intelligence by Michael Negnevitsky

First publish date: 2001

Authors: Michael Negnevitsky

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Books similar to Artificial Intelligence (6 similar books)

📘 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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📘 Pattern Recognition and Machine Learning

by Christopher M. Bishop

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📘 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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📘 Artificial intelligence and statistics

by William A. Gale

An introductory textbook that explores the intersection of artificial intelligence and statistical methods, offering mathematical foundations, expert system concepts, and case studies for students and practitioners.

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📘 Artificial Intelligence and Intelligent Systems

by N. P. Padhy

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📘 Artificial Intelligence

by Michael Wooldridge

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Books like Artificial Intelligence

Some Other Similar Books

Artificial Intelligence: A Guide to Intelligent Systems by Michael Negnevitsky
Artificial Intelligence: Foundations of Computational Agents by David L. Poole, Alan K. Mackworth
Artificial Intelligence: A New Synthesis by Nils J. Nilsson
Artificial Intelligence: A Modern Approach by Stuart Russell, Peter Norvig
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
Artificial Intelligence: Structures and Strategies for Complex Problem Solving by George Luger
Artificial Intelligence: Foundations of Computational Agents by Michael Negnevitsky
Reinforcement Learning: An Introduction by Richard S. Sutton, Andrew G. Barto

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