Course Video Archives
All students are strongly encourages to engage deeply in the course, interact with others, and actively participate in all HS650 activities. Attending lectures regularly is important (physical presence may be more effective than ZM participation). This page will archive videos of prior course recordings in chronological order. In general, all class video recordings are here.
- Monday, Aug 30, 2021 (Motivation and Introduction) Part 1 Links to an external site. and Part 2 Links to an external site..
- Wednesday, Sept 1, 2021 (Introduction) Complete Video Links to an external site. & Video with transcript Links to an external site..
- Wed 9/8/21 (Foundations) Video with Transcript Links to an external site..
- Mon 9/13/2021 (Foundations & Data Management) Video Links to an external site. and video with transcript Links to an external site..
- Wed 9/15/21 (Data Management) video with transcript Links to an external site..
- Mon 9/20/21 (Data Management and Visualization) video with transcript Links to an external site..
- Wed, 9/22/21 (Visualization and Linear Algebra), part 1 Links to an external site. and part 2 Links to an external site..
- Mon 9/27/21 (Part 1: Matrix Computing) Links to an external site. and (Part2: Dimensionality Reduction/PCA Links to an external site.)
- Wed 9/29/21: (Part 1 ICA/FA Links to an external site.) & (Part 2 t-SNE Links to an external site.)
- Mon 10/4/21: Part 1: t-SNE/UMAP Links to an external site. & Part 2: kNN Links to an external site.
- Wed 10/6/21: kNN and Naive-Bayesian Classification Links to an external site.
- Mon 10/11/21: Part 1: Naive Bayesian + Decision Trees Links to an external site. & Part 2: Decision Trees Links to an external site.
- Wed 10/13/21: Linear Modeling/Regression Links to an external site.
- Wed 10/20/21: NN/SVM/Apriori Algorithms (2 parts) Links to an external site.
- Mon 10/25/21: Apriori/Kmeans (2-parts) Links to an external site.
- Wed 10/27/21: Clustering & Model Assessment and Improvement (2-parts) Links to an external site.
- Mon 11/1/21: (Chapter 14 (Model Improvement) and Chapter 15 (Services, formats, streaming, R+Python/R+C/R+X) Links to an external site.
- Wed 11/3/21: Chapter 15 (R+Python+C++) and Chapter 16 (Variable Selection) Links to an external site.
- Mon 11/8/21: Chapter 17: Regularized Linear Modeling Links to an external site.
- Wed 11/10/21: Chapter 17: Regularized Linear Modeling, FDR-Controlled Variable Selection and start of Longitudinal Data Analysis (Chapter 18) Links to an external site.
- Mon 11/15/21: Chapter 18 Longitudinal Data Analysis (ARIMA/ARIMAX) Links to an external site.
- Wed 11/17/21: Chapter 18 Longitudinal Data Analysis (SEM, GLMM, GEE) and Chapter 19 (Text Mining/NLP) Links to an external site.
- Mon 11/22/21: Chapter 20 (Cross-Validation) and start of Chapter 21 (Optimization) Links to an external site.
- Wed 11/24/21: Chapter 21 (Optimization) Links to an external site.
- Mon 11/29/21: Chapter 22 (Deep Neural Networks) Links to an external site.
- Wed 12/1/21: Chapter 22 (DCNN, Image Classification, Transfer Learning) Links to an external site.
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