roboticcam/machine-learning-notes
A continuously updated collection of machine learning, probabilistic models, and deep learning lecture notes with slides and video links.
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This repository hosts lecture notes and slides for a machine learning research seminar series taught by the author. The materials cover learning theory topics such as Rademacher complexity, PAC Bayes, and neural tangent kernels, as well as generative AI topics including Transformer models implemented with PyTorch. The content is maintained in both English and Chinese with over 2000 pages of notes.