This is the course webpage for Visual Analytics & Machine Learning.
Week 1 (January 25): Introduction to Visual Analytics |
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Week 2 (February 1): Authoring Visualizations with D3 and Observable |
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Week 3 (February 8): Interactive Machine Learning |
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Week 4 (February 15): Mixed-Initiative Visual Exploration, Pt. 1 |
Monday: Steerable Dimensionality Reduction, Pt. 1 slides, pdf, iPCA notebook
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Required Reading: Visual Dimensionality Reduction, iPCA, Contrastive Learning, Brushing Dimensions
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Wednesday: Steerable Dimensionality Reduction, Pt. 2 slides, pdf
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Required Reading: Spatialization Semantics, InterAxis, AxiSketcher, Steerable tSNE
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Friday:
— Assignment 2.1 Due
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Week 5 (February 22): Mixed-Initiative Visual Exploration, Pt. 2 |
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Week 6 (March 1): Mixed-Initiative Visual Exploration, Pt. 3 |
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Week 7 (March 8): Mixed-Initiative Visual Exploration, Pt. 4, Project Proposals |
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Week 8 (March 15): Visual Analytics for Model Understanding, Pt. 1 |
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Week 9 (March 22): Visual Analytics for Model Understanding, Pt. 2 |
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Week 10 (March 29): Visual Analytics for Model Training, Pt. 1 |
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Week 11 (April 5): Visual Analytics for Model Training, Pt. 2 |
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Week 12 (April 12): Visual Analytics for Model Training, Pt. 3 |
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Week 13 (April 19): Learning for Vis, Pt. 1 |
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Week 14 (April 26): Learning for Vis, Final Project Presentations |
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Week 15 (May 3): Project Submission |
Wednesday: Final Project Submissions Due
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