Status: 🟢 Active Learning Focus: Linear Algebra, Statistics, Calculus for Machine Learning Tools: Python, NumPy, Pandas, Matplotlib
This repository documents my systematic journey to master the mathematical foundations required for Artificial Intelligence engineering. As an Applied AI student and Systems Thinker, I believe in building a "First Principles" understanding of the algorithms I use.
| Date | Topic | Key Concepts | Code |
|---|---|---|---|
| Nov 2025 | Vectors | Definition, Magnitude, Direction, Dot Product | vectors_basics.py |
| Upcoming | Matrices | Matrix Multiplication, Transposition, Inverse | ... |
| Upcoming | Statistics | Mean, Variance, Standard Deviation | ... |
"You cannot build a skyscraper if you don't understand the physics of the materials." Similarly, I cannot build robust AI systems if I don't understand the Linear Algebra that powers them.
# Clone the repo
git clone [https://github.com/LouisGreive/AI-Math-Foundations.git](https://github.com/LouisGreive/AI-Math-Foundations.git)
# Install dependencies
pip install numpy pandas matplotlib