Fundamental Concepts in Structured ML
101 pages
Archive
Spring 2025-2026
Slides and recordings from a past semester of the course. For the current semester, see the Winter 2026-2027 page.
Lecture Modules
Structured Learning via Tabular Learning
100 pages
Node and Tuple Embedding
87 pages
Crash Course on Deep Learning
73 pages
Message-Passing Graph Neural Networks
98 pages
Relational Foundation Models
98 pages
Tutorials
Deep Learning Review
28 pages
SlidesTabular Feature Engineering
33 pages
SlidesGraph Feature Engineering
30 pages
SlidesDimensionality Reduction
26 pages
SlidesEmbedding
30 pages
SlidesIntro to GNNs
40 pages
SlidesScalability of GNNs
33 pages
SlidesExpressivity
31 pages
SlidesAttention and Transformers
23 pages
Slides