An advanced topics course on artificial intelligence by Dr. Michael S. Gashler.
This course investigates some advanced topics in artificial intelligence, including deep Q-learning, kd-trees, nonlinear dimensionality reduction, cognitive architectures, using the extended Kalman filter with neural networks, and Bayesian graphical models (a.k.a. belief networks).