The Mathematics of AI: A Complete Guide from Basic Algebra to Transformers
Every AI course eventually says "and then we compute the gradient" or "this is just a dot product" — and assumes you already know what that means. Most people don't, and that gap is exactly where people quietly give up on understanding AI at a real level.The Mathematics of AI closes that gap completely. It's a full path from basic algebra to the actual math behind transformers, with every idea connected directly to how AI really works — not math for its own sake.What's inside — built in four partsFoundations — algebra refresher, functions, coordinate geometry, all reconnected to AI (a neural network is a function; loss surfaces are graphs)Linear Algebra — the language of AI — vectors, matrices, eigenvectors, and SVD, building up to concepts like cosine similarity and dimensionality reductionCalculus — the mathematics of learning — derivatives, the chain rule (the engine behind backpropagation), gradients, and optimization, explained through the lens of loss functionsProbability, Optimization, Machine Learning, Deep Learning, and Transformers — carrying the math all the way through to the architecture behind modern AI modelsWhat makes this differentEvery chapter includes an "AI Connection" section explicitly tying the math to a real AI concept — a neuron, a loss surface, backpropagation, dimensionality reduction — so you never learn math in the abstract without knowing exactly why it matters. Every chapter also includes worked examples and exercises, not just theory.Who this is forAnyone learning AI/ML who keeps hitting a math wall in tutorials and coursesSelf-taught developers who want the "why" behind the formulas, not just the codeReaders of the companion guide, Python for Artificial Intelligence, who want the math foundation underneath itWhat you'll walk away withA genuine, connected understanding of the math that powers AI — from solving for x, all the way to understanding what a transformer is actually computing — so formulas in papers and courses stop being intimidating symbols and start being ideas you actually understand.Format: PDF, instant download
Get it → abelipet.gumroad.com