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There are many insightful books on artificial intelligence that cater to various interests and expertise levels. For beginners, titles like "Artificial Intelligence: A Guide to Intelligent Systems" by Michael Negnevitsky provide foundational knowledge. More advanced readers might consider "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, which dives deep into neural networks. Other popular choices include "Superintelligence: Paths, Dangers, Strategies" by Nick Bostrom, exploring the implications of advanced AI, and "Life 3.0" by Max Tegmark, discussing the future of AI in society. These books offer a blend of theoretical understanding and practical insights into the rapidly evolving field of AI.
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