fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Comprehensive study notes covering supervised learning (linear/logistic regression, SVMs, neural networks), unsupervised learning (K-means, PCA, anomaly detection, collaborative filtering), and practical ML systems design—all with mathematical derivations and gradient descent implementations. The repository includes original course slides, bilingual subtitles, Markdown/Word/HTML formatted notes with LaTeX formulas, and Python code examples aligned with the 2014 Stanford curriculum structure.
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