Coming soon
Probability & Statistics for ML
Beginner
Uncertainty, likelihood and the maths of learning from noisy data.
Random variablesMaximum likelihoodBayes' ruleHypothesis tests
The academy
Courses
Each course is a labyrinth: rings of chambers that mix video, mathematics, interactive labs and research practice, with a boss waiting at the centre.
Available now · Beginner
Mathematics for Machine Learning
Learn to read the language every machine-learning paper is written in.
9 chambers 1 boss battle ~6 hours
0%Start
Available now · Beginner
Linear Algebra for Machine Learning
Vectors, matrices and the geometry hiding inside every model.
9 chambers 1 boss battle ~8 hours
0%Start
Available now · Beginner
Neural Networks from First Principles
From a single neuron to your first research write-up.
8 chambers 1 boss battle ~5 hours
0%Start
On the roadmap
New labyrinths being built. Each will plug into the same XP, badges and Codex.
Coming soon
Transformers & Attention from Scratch
Intermediate
Build the architecture behind modern language models, one equation at a time.
EmbeddingsSelf-attentionPositional encodingsScaling laws
Coming soon
Reinforcement Learning: Agents that Learn
Intermediate
Rewards, policies and value functions, from bandits to deep RL.
BanditsMDPsQ-learningPolicy gradients
Coming soon
Generative Models: VAEs, GANs & Diffusion
Advanced
Teach machines to imagine, and learn to measure what they make.
Latent variablesAdversarial trainingScore matchingEvaluation
Coming soon
The Research Workflow: Idea to Publication
Intermediate
Pick problems, run a lab notebook, survive peer review and give great talks.
Choosing problemsExperiment trackingRebuttalsResearch talks