Mathematics
10 min
Linear Algebra for Machine Learning: Vectors, Matrices, and Eigenvalues (with NumPy)
Learn linear algebra for machine learning: vectors, dot products, matrix multiplication, and eigenvalues, with runnable NumPy examples and PCA.
Xray AI Lab
Learn linear algebra for machine learning: vectors, dot products, matrix multiplication, and eigenvalues, with runnable NumPy examples and PCA.
Learn how machine learning detects cyber threats, from supervised models to anomaly detection, with a runnable Python example and honest limits.
Learn how Retrieval-Augmented Generation (RAG) works, why it outperforms basic LLMs for custom data, and how to build a working RAG app in Python.
Learn how AI agents work, explore real-world applications, compare top frameworks, and build a simple AI agent with Python.
A beginner-friendly roadmap to the mathematics behind machine learning: linear algebra, geometry, calculus, probability, and optimization, and how they connect.