Phase 01: 数学基础

本阶段包含 22 课时。

原始课程来源：AI Engineering from Scratch (MIT License)

---

• Linear Algebra Intuition
• Vectors, Matrices & Operations
• Matrix Transformations
• Calculus for Machine Learning
• Chain Rule & Automatic Differentiation
• Probability and Distributions
• Bayes' Theorem
• Optimization
• Information Theory
• Dimensionality Reduction
• Singular Value Decomposition
• Tensor Operations
• Numerical Stability
• Norms and Distances
• Statistics for Machine Learning
• Sampling Methods
• Linear Systems
• Convex Optimization
• Complex Numbers for AI
• The Fourier Transform
• Graph Theory for Machine Learning
• Stochastic Processes