DSCI 634. Machine Learning II. 4 Credits.
Advanced methods in machine learning. This course will feature a diverse range of techniques to round out student mastery of cutting-edge predictive modeling. Includes clustering and multivariate ordination redux, Bayesian model fitting procedures with Hamiltonian Monte Carlo, and deep learning with various classes of artificial neural network. Students will also gain exposure to the art of feature engineering and learn how to define effective, tailored loss functions. Sequence with DSCI 633.