Although it tends towards Deep Learning as opposed to AI, I highly recommend Bishop's Pattern Recognition and Machine Learning. It not only provides a solid Bay

Although it tends towards Deep Learning as opposed to AI, I highly recommend Bishop's Pattern Recognition and Machine Learning. It not only provides a solid Bayesian perspective, but also comments on the subtleties of applying theory. For the latter, its discussion of overparameterization in (I think?) the first chapter comes to mind. [1] - https://www.microsoft.com/en-us/research/people/cmbishop/prml-book/ https://www.microsoft.com/en-us/research/people/cmbishop/prm...