APCOMP 209B: Data Science 2: Advanced Topics in Data Science

APCOMP 209B/COMPSCI 109B/STAT 109B is a direct continuation of APCOMP 209A/COMPSCI 109A/STAT 109A that will cover topics such as smoothing and additive models, unsupervised learning, Bayesian analysis, deep learning including convolutional neural networks, recurrent neural networks, language models, generative models and deep reinforcement learning. The course aligns with the QRD criteria by teaching methods for analyzing data, drawing statistical inferences, and making predictions applied to real data sets. Prerequisites: APCOMP 209A/COMPSCI 109A/STAT 109A.

Register for APCOMP 209B