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There are two textbooks that I most love and am most afraid of in the world: Introduction to Algorithms by Cormen et al. and Artificial Intelligence: A Modern Approach by Norvig et al. I have started the "AI: A Modern Approach" more than once, but the book is so dense and full of theory that I get discouraged after a couple of weeks and stop.
I am looking for a similar AI book but with an equal emphasis on theory and practice. Some examples of what I am looking for:
The Elements of Statistical Learning by Tibshirani et al. (detailed theory)
An Introduction to Statistical Learning: With Applications in R by
Tibshirani et al. (theory+practical)
Digital Image Processing by Gonzalez et al. (detailed theory)
Digital Image Processing Using MATLAB by Gonzalez et al.
Artificial intelligence is a broad field: that's why Artificial Intelligence: A Modern Approach (AIMA) may look a bit dense to newcomers, given that it covers many different aspects of AI, such as search, machine learning, and natural language processing.
AI is not just ML!
The first book in this answer is a good book, but it focuses on computational intelligence approaches, which are often considered part of AI too. The other books that you mention in your post also focus on subfields of AI, such as machine learning or image processing, so they do not cover all aspects of AI.