CS 220 — Machine Learning I
Computation & Intelligent Systems · 4 units · Required core — everyone takes it
The Two Registers
- Catalog register: Foundations of machine learning — models, training, evaluation, limits.
- Teaching frame: What a model is, how it trains, what it can and cannot know.
Outcomes Served
- Command of Intelligence
- Judgment
What This Course Is About
The machine that learned to finish your sentences is not a mystery — it is matrices, gradients, and data. Build small models from scratch so the big ones stop being magic.
The Made Thing
A model trained from scratch on data you gathered — with an honest evaluation of where it fails.
The Daily Path
One session per course day — each one designed to look easy and pull you in. This course is at syllabus stage — the daily path is not yet written, so it is not yet live.
- Day 01 — to be written
- Day 02 — to be written
- Day 03 — to be written
- Day 04 — to be written
- Day 05 — to be written
- Day 06 — to be written
- Day 07 — to be written
- Day 08 — to be written
- Day 09 — to be written
- Day 10 — to be written
- Day 11 — to be written
- Day 12 — to be written
- Day 13 — to be written
- Day 14 — to be written
- Day 15 — to be written
Every course here is built to one standard: it ends in a made thing you can show, and it ships day by day.