{"repo":"tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations","free":true,"listed":false,"github":"https://github.com/tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations","clone":"git clone https://github.com/tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations.git","description":"A book on the mathematical foundations of AI from an engineering perspective.","language":"Python","stars":160,"topics":["artificial-intelligence","book","books","calculus","deep-learning","educational","linear-algebra","machine-learning","mathematics","neural-network"],"license":"MIT","category":"machine-learning","readme_excerpt":"The Math Behind Artificial Intelligence A comprehensive guide to AI's mathematical foundations from an engineering perspective Star History --- Read on FreeCodeCamp New book is out! How to Build Optimal AI Agents That Actually Work – A Handbook for Devs Table of Contents - What is this? - Preview - Getting Started - Table of Contents (Book) - Code Examples - Contributing - Related Resources - Built With - Contact - License --- What is this? Most AI math books are written by mathematicians for mathematicians. However, this one is completely different. Written from an engineering perspective (think in terms of building blocks), it connects theory to practice with visualizations, Python code, and real life applications. Whether you are a student, self-taught dev, or practitioner, you'll find clear explanations of complex math topics that make complex concepts accessible. You will explore not just what the math is but why it matters and where it is applied in real life. For example, how derivatives make the backpropagation algorithm possible. Which in turn enables neural networks, which enable all LLMs. In less than a week it got over 20K views, and since then it is only growing! What's included: - The Architecture of Mathematics : How math connects from foundations to AI, including Gödel's paradoxes and Einstein's relativity - The Field of Artificial Intelligence : From Control Theory to modern AI, understanding symbolic vs. non-symbolic AI approaches - Linear Algebra : Vectors,","default_branch":null,"files":null,"tree":[],"storefront":"/r/tiagomonteiro0715","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}