Machine Learning
The maths under the library call, with a tutor who ships models for a living.
$10 to $12 a month, per tutor
Someone here teaches Machine Learning.
Subscribe to them and every lesson, note and quiz they publish for this course opens, with an email whenever a new one lands.
What you walk out with
- Derive gradient descent by hand
- Diagnose over- and underfitting from curves
- Pick a model for a dataset with reasons
- Explain a transformer block
- 28
- lessons
- 24h
- of live time
- 17
- tutors on it
The pathway
6 units to machine learning.
Start at unit one and keep going, or jump to the unit that is actually on your exam. About 11 hours of live teaching end to end.
Linear models
Regression and logistic, derived not imported.
Unit 1 of 6 · 110 min
Optimisation
Gradient descent and its failure modes.
Unit 2 of 6 · 100 min
Evaluation
Splits, leakage, and the metric that matches the problem.
Unit 3 of 6 · 90 min
Trees and ensembles
Why gradient boosting still wins on tables.
Unit 4 of 6 · 100 min
Neural networks
Backpropagation, done slowly once.
Unit 5 of 6 · 140 min
Transformers
Attention as a lookup you can reason about.
Unit 6 of 6 · 130 min
End of the pathway. You can teach this back.
