Foundations
Embeddings
Meaning as direction in high-dimensional space.
You can jump straight in, but this star assumes Neural Networks. Not recommended as a first stop.
Four layers of depth
Each layer ends with a quiz. Finish layer 4 and you own this concept.
- L1IntuitionWhy models turn words, images, and other discrete things into lists of numbers, and what 'closeness' in that space means.5m
40 XP - L2MechanicsHow embeddings are actually learned via lookup tables and training signal, and how similarity is measured and used.8m
70 XP - L3CodeImplementing an embedding lookup and a mini word2vec-style training loop, then computing nearest neighbors.12m
110 XP - L4FoundationsThe formal skip-gram objective, negative sampling, and why embedding geometry captures linear semantic relationships.15m
180 XP
Where this leads
33 stars in the atlas.