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ml-lectures

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  1. CS229_2026/01 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 1： Introduction.en-orig.vtt +0 -0
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  9. CS229_2026/03 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 3： Weighted Least Squares.mp4 +3 -0
  10. CS229_2026/04 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 4： Exponential Family, GLMs Classification.en-orig.vtt +0 -0
  11. CS229_2026/04 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 4： Exponential Family, GLMs Classification.en.vtt +0 -0
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  26. CS229_2026/09 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 9： K-Means and GMM (non-EM).en.vtt +0 -0
  27. CS229_2026/09 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 9： K-Means and GMM (non-EM).mp4 +3 -0
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  29. CS229_2026/10 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 10： GMM (EM), PCA.en.vtt +0 -0
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  31. CS229_2026/11 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 11： Diffusion Models.en-orig.vtt +0 -0
  32. CS229_2026/11 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 11： Diffusion Models.en.vtt +0 -0
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  34. CS229_2026/12 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 12： Representation Learning.en-orig.vtt +0 -0
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  39. CS229_2026/13 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 13： LLMs, Next-Word Prediction Loss.mp4 +3 -0
  40. CS229_2026/14 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 14： Transformers, In-Context Learning.en-orig.vtt +0 -0
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  43. CS229_2026/15 - Stanford CS229 Machine Learning ｜ Spring 2026 ｜ Lecture 16： Basic Concept in RL, Policy Gradient.en-orig.vtt +0 -0
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