3 ms·
PAIP is a great book, but I wouldn't call it ML. It is more about traditional AI research based on symbolic computing, in the Lisp and Prolog tradition. Modern
by coliveira 6y ago
PAIP is a great book, but I wouldn't call it ML. It is more about traditional AI research based on symbolic computing, in the Lisp and Prolog tradition. Modern ML is 90% based on statistical and optimization algorithms.
- worik 6y agoGiven that Neural Networks seem to be approaching the limits of what they can do it may be time for a return to symbolics. NN at the limit? Is that too controversial? The "black box" approach is having difficulty with the last 5% is it not? Hence we do not have self driving cars.
- NotPavlovsDog 6y agoI recently read a great paper covering a survey on AI. They were interviewing AI field experts, and one of the problems they encountered were the multiple, often opposing, viewpoints, with some experts plain out refusing to discuss AI, as they only recognized machine learning. I suppose for applied ML the approach suggested by one of the top comments would be perhaps the most viable - just start running code and see where it gets you.