Parent is talking about Agent systems and just about everything that isn't regular statistics. Basically, in the past 20 years, computers got 1000 times smarter and people didn't, so old statistical models became tractable to apply to terabytes of data, and the schools of "invent a thinking algorithm" stopped being relevant.
/slightly bitter former "academic AI" student.
It's not really Academic vs Industry, though. It is Agents and Logic vs Statistics.
The standard text is Elements of Statistical Learning. It is a grad-level and mostly theory. For goofing around in Python, Programming Collective Intelligence
I agree that Rusell and Norvig AI doesn't have much penetration yet. As for Elements of Statistical Learning...
That's the canonical textbook for ML. If industry relies on splines, boosting, and support vector machines, then it is really not that far from modern academic ML research.
/slightly bitter former "academic AI" student.
It's not really Academic vs Industry, though. It is Agents and Logic vs Statistics.
The standard text is Elements of Statistical Learning. It is a grad-level and mostly theory. For goofing around in Python, Programming Collective Intelligence