Linear Algebra for Computing
Vectors and matrices show up constantly in computing — a colour is three numbers, an image is a grid of them, a neural network's weights are a matrix, a 3D rotation is a matrix multiply — because linear algebra is the…
Mathematics for Computing
Linear algebra, calculus and optimization, and probability and statistics — the recurring mathematical toolkit behind graphics, machine learning, and data analysis.
Calculus and Optimization
Differentiation and integration are usually taught as opposites — one measures instantaneous rate of change, the other accumulates area under a curve — and for computing purposes, differentiation is the one that matters…
Probability and Statistics for Computing
Almost every piece of machine-learning and data-science content on this site leans on a small, recurring set of probability and statistics concepts — this page collects them in one place, following DeGroot and…
Interval Arithmetic
Every number a computer stores as a float is, in general, already an approximation — Binary Representation and Computer Arithmetic covers why 0.1 has no exact binary representation at all. Interval arithmetic takes that…