Course Video Archives

All students are strongly encouraged to engage deeply in the course, interact with others, and actively participate (in person during class and asynchronously out of class) in all HS650 activities. Attending lectures regularly in person is important -- physical presence may be the most effective learning strategy.

• Mon Aug 29 - HS650 Syllabus, DSPA Introduction (Chapter 1) Links to an external site.
• Wed Aug 31 - DSPA Chapter 1 (Motivation & Fundamentals) Links to an external site.
• Wed Sept 7 - DSPA Chapter 1 (Distributions, tensors) Links to an external site.
• Mon Sept 12 - Activity 1 Review, End of Chapter 1 and start of Chapter 2 Links to an external site.
• Wed Sept 14 - Chapter 2 - Imputation & Visualization Links to an external site.
• Mon Sept 19 - Chapter 2 - Cohort rebalancing, univariate and mixture distribution model-fitting Links to an external site.
• Wed Sept 21 - Chapter 3 - Linear Algebra and Matrix Computing Links to an external site.
• Mon 9/26/22 - Chapter 3 + Chapter 4 (Linear Dimension Reduction, PCA) Links to an external site.
• Wed 9/28/22 - Chapter 4 (PCA, ICA, t-SNE, and UMAP) Links to an external site.
• Mon 10/3/22 - Chapter 4 + Chapter 5 (kNN) Links to an external site.
• Wed 10/5/22 - Chapter 5 (Decision Trees) Links to an external site.
• Mon 10/10/22 - Chapter 6 (Black-box Methods - SVM, RF) Links to an external site.
• Wed 10/12/22 - Chapter 7 (Text Mining) Links to an external site.
• Wed 10/19/22 - Chapter 8 (Unsupervised Clustering) Links to an external site.
• Mon 10/24/22 - Chapter 9 (Model Assessment & Improvement) Links to an external site.
• Wed 10/26/22 - Chapter 10 (Specialized ML techniques, streaming classification) Links to an external site.
• Mon 10/31/22 - Chapter 10 (R - Python - C/CPP Integration), and Chapter 11 (Feature Importance) Links to an external site.
• Wed 11/2/22 - Chapter 11 (knockoff) and Chapter 12 (Time-series modeling) Links to an external site.
• Mon 11/7/22 - Chapter 11 (Longitudinal data analytics, ARIMA, GEE, LMM, SEM) Links to an external site.
• Wed 11/9/22 - Optimization (part 1) Links to an external site.
• Mon 11/14/22 - Optimization (part 2) Links to an external site.
• Wed 11/16/22 - Optimization (part 3) Links to an external site.
• Mon 11/21/22 - Chapter 14 (Intro to DNN) Links to an external site.
• Mon, 11/28/22 - Chapter 14 (DNN design, training, applications) Links to an external site.
• Wed 11/30/22 - Chapter 14 (DCNN, transfer Learning, Synth image generation) Links to an external site.
• Please prepare for Term paper presentations