This is the course webpage for Visual Analytics & Machine Learning.
| Week 1 (January 30): Introduction to Visual Analytics, Visualization, and Machine Learnin, Pt.1 |
|
|
| Week 2 (February 6): Introduction to Visual Analytics, Visualization, and Machine Learnin, Pt. 2 |
|
|
| Week 3 (February 13): Project Proposals |
Thursday: Project Introdution
|
Required Reading: Examples
|
|
| Week 4 (February 20): Mixed-Initiative Visual Exploration, Pt.1 |
Thursday: Steerable Dimensionality Reduction, Exploring Topic Models (slides, pdf)
|
Required Documents: TBA
|
|
| Week 5 (February 27): Mixed-Initiative Visual Exploration, Pt.2 |
Thursday: Clustering, Ranking, Regression, and Graphs(slides, pdf, notebook)
|
Required Reading: TBA
|
|
| Week 6 (March 5): Visual Analytics for Model Understanding, Pt.1 |
Thursday: Understanding Classification Outputs, Deep Learning: Dataflows, Training(slides, pdf, notebook)
|
Required Reading: TBA
|
|
Week 7 (March 12): Visual Analytics for Model Understanding, Pt.2 |
Thursday:Understanding Convolutional Networks, Generative Models Networks(slides, pdf, notebook)
|
Required Reading: TBA
|
|
| Week 8 (March 19): Spring Recess (No Class) |
|
| Week 9 (March 26): Project Baseline Presentations |
Thursday:Presenting the Project Baseline
|
Required Reading: TBA
|
|
| Week 10 (April 2): Visual Analytics for Model Understanding, Pt.3 |
Thursday: Understanding Language Models
|
Required Reading: TBA
|
|
| Week 11 (April 9): Visual Analytics for Model Training, Pt.1 |
Thursday: Visually Constructing Classifiers, (Inter-)Active Learning of Classifiers, Constructing Topic Models(slides, pdf, notebook)
|
Required Reading: TBA
|
|
| Week 12 (April 16): Visual Analytics for Model Training, Pt.2 |
Thursday: Constructing Topic Models, Model Ensembles, Decision Trees, Metric Learning(slides, pdf, notebook)
|
Required Reading: TBA
|
|
| Week 13 (April 23): Machine Learning for Visualization, Pt.1 |
Thursday: Machine Learning for Visualization(slides, pdf, notebook)
|
Required Reading: TBA
|
|
| Week 14 (April 30): Machine Learning for Visualization, Pt.2 |
Thursday: Machine Learning for Visualization(slides, pdf, notebook)
|
Required Reading: TBA
|
|
| Week 15 (May 7): Project Presentations |
|
|
This course is based on the Visual Analytics and Machine Learning course designed by Professor Matthew Berger (Vanderbilt University).
