ACS 4510 Advanced Topics in Data Science (DS 2.4)
This course covers popular advanced machine learning and deep learning concepts including recommendation systems (RS) and Deep RS, Bayesian networks, probabilistic graphical models, natural language processing, LSTM neural networks, Generative Adversarial Networks (GANs), and advanced computer vision (Unet). Students complete individual comprehensive projects in one of the topic areas and present their findings in a seminar format. Prerequisites:
ACS 3520 (DS 2.2),
ACS 2130 (CS 1.3)