Making AI knowledge accessible to everyone.
Akiyue breaks down complex topics in AI and data science into clear, intuitive explanations — backed by math, code, and worked examples.
We believe that understanding why something works is just as important as knowing how to use it. Akiyue exists to bridge the gap between academic papers and practical understanding.
Whether you're a student exploring these fields for the first time or a practitioner looking for a refresher, every article follows a first-principles approach: start with the intuition, build up the math, and connect it to real-world applications.
Statistics & Mathematics
Probability, distributions, hypothesis testing, Bayesian methods, and the mathematical foundations that underpin all of data science.
Machine Learning
From linear regression to ensemble methods, covering the classical algorithms that form the backbone of applied ML.
Deep Learning & AI
Neural networks, CNNs, RNNs, Transformers, and the modern architectures powering today's AI breakthroughs.
Intuition first
Every concept starts with the "why" — building understanding from the ground up before diving into formulas.
Math + code
Theory backed by implementations. See the equations, then see them in action with practical code examples.
Open & free
All content is freely available. Knowledge should be accessible to everyone, everywhere.
Start exploring
Akiyue is an evolving project with new articles added regularly. Dive into any category or browse the full collection.