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🤖 AI / ML Foundations

The math and Python behind machine learning — run it yourself.

1
Lesson 1 — Data as numbers
basics · 7 min
→2
Lesson 2 — Normalisation
easy · 9 min
→3
Lesson 3 — Similarity
medium · 10 min
→4
Lesson 4 — Prediction by average
medium · 10 min
→5
Lesson 5 — The sigmoid
medium · 10 min
→6
Lesson 6 — A tiny training step
hard · 13 min
→7
Lesson 7 — Sigmoid
medium · 9 min
→8
Lesson 8 — Accuracy
hard · 10 min
→9
Lesson 9 — Train / test split
hard · 11 min
→10
Lesson 10 — Mean squared error
hard · 10 min
→11
Lesson 11 — Feature scaling
medium · 9 min
→12
Lesson 12 — Cosine similarity
hard · 12 min
→13
Lesson 13 — k-NN (tiny)
hard · 13 min
→14
Lesson 14 — One-hot encoding
medium · 10 min
→15
Lesson 15 — Confusion counts
hard · 11 min
→16
Lesson 16 — Gradient step
hard · 12 min
→