Full Curriculum
20 topics. No gaps. Linear algebra, calculus, statistics, and probability, the mathematical language behind ML algorithms.
0understood0in progress20live0 planned
01
Linear Algebra
Scalars, vectors, matrices, and the directions that matter
4/4
02
Calculus for ML
Derivatives, gradients, and the chain rule, how models find the bottom
6/6
03
Statistics & Distributions
Variance, bell curves, and the shapes data takes
6/6
04
Probability
Bayes, conditional probability, and maximum likelihood, reasoning under uncertainty
4/4