The math behind machine learning — from zero.
Start with arithmetic and fractions. Finish with the calculus, linear algebra, probability and statistics that modern ML is built on — and the Python to code it. Every idea is built from the one before it.
Eight free Pro lessons — one from each advanced course — plus all of Foundations. No sign-up. Feel how the interactive figures teach before you commit to anything.
The Gradient
The single most important object in deep learning — drag it, and feel why it points uphill.
Your First Program
Python from absolute zero — type a line, run it in the page, and watch the machine obey.
Foundations — the whole first course
29 lessons from absolute zero — numbers, fractions, algebra, graphs. No account needed.
Nine courses, in order. The amber strand — where each idea reappears in machine learning — runs through every lesson.
Foundations
Start from zero — numbers, fractions, percents, exponents, algebra, graphs, functions.
Python from Zero
Programming for ML with no experience — from your first print() to reading real gradient descent code.
Calculus I
Sequences, limits, derivatives, optimization, integration, Taylor series.
Linear Algebra
Vectors, matrices, eigenvalues, SVD, projections — the native language of neural nets.
Calculus II
Multivariable: gradients, Jacobians, Hessians, multivariate optimization — backprop math.
Probability
Random variables, distributions, information theory, limit theorems.
Statistics
Estimation, MLE, hypothesis testing, regression, model evaluation.
Optimization for ML
Gradient descent to Adam — how models actually learn, step by step.
Machine Learning: from Math to Models
Regression, classification, trees, ensembles, clustering — and why learning generalizes.
Finish with a certificate that checks out
A test after every module, a final exam for every course — and every course you pass is added to your single Certificate of Completion. One document, one verification code anyone can check online; finish everything and it becomes the Complete Curriculum certificate. Download it as a PDF, share it on LinkedIn.
The Foundations certificate is free — just sign in, pass the final exam, and it's yours.
Work toward yours →Start from zero.
If you can count, you can begin. Open the first lesson and build all the way up.