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 and Part 2.
Wednesday, Sept 1, 2021 (Introduction) Complete Video & Video with transcript.
Wed 9/8/21 (Foundations) Video with Transcript.
Mon 9/13/2021 (Foundations & Data Management) Video and video with transcript.
Wed 9/15/21 (Data Management) video with transcript.
Mon 9/20/21 (Data Management and Visualization) video with transcript.
Wed, 9/22/21 (Visualization and Linear Algebra), part 1 and part 2.
Mon 9/27/21 (Part 1: Matrix Computing) and (Part2: Dimensionality Reduction/PCA)
Wed 9/29/21: (Part 1 ICA/FA) & (Part 2 t-SNE)
Mon 10/4/21: Part 1: t-SNE/UMAP & Part 2: kNN
Wed 10/6/21: kNN and Naive-Bayesian Classification
Mon 10/11/21: Part 1: Naive Bayesian + Decision Trees & Part 2: Decision Trees
Wed 10/13/21: Linear Modeling/Regression
Wed 10/20/21: NN/SVM/Apriori Algorithms (2 parts)
Mon 10/25/21: Apriori/Kmeans (2-parts)
Wed 10/27/21: Clustering & Model Assessment and Improvement (2-parts)
Mon 11/1/21: (Chapter 14 (Model Improvement) and Chapter 15 (Services, formats, streaming, R+Python/R+C/R+X)
Wed 11/3/21: Chapter 15 (R+Python+C++) and Chapter 16 (Variable Selection)
Mon 11/8/21: Chapter 17: Regularized Linear Modeling
Wed 11/10/21: Chapter 17: Regularized Linear Modeling, FDR-Controlled Variable Selection and start of Longitudinal Data Analysis (Chapter 18)
Mon 11/15/21: Chapter 18 Longitudinal Data Analysis (ARIMA/ARIMAX)
Wed 11/17/21: Chapter 18 Longitudinal Data Analysis (SEM, GLMM, GEE) and Chapter 19 (Text Mining/NLP)
Mon 11/22/21: Chapter 20 (Cross-Validation) and start of Chapter 21 (Optimization)
Wed 11/24/21: Chapter 21 (Optimization)
Mon 11/29/21: Chapter 22 (Deep Neural Networks)
Wed 12/1/21: Chapter 22 (DCNN, Image Classification, Transfer Learning)
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