CS229 机器学习
斯坦福研究生级机器学习课程:严格数学推导 + 精炼 notes,覆盖 GLM、SVM、学习理论、EM、强化学习,吴恩达主讲版本是经典中的经典,适合打深基础。Stanford's graduate-level ML course with rigorous math derivations and concise notes, covering GLMs, SVMs, learning theory, EM and RL.
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斯坦福研究生级机器学习课程:严格数学推导 + 精炼 notes,覆盖 GLM、SVM、学习理论、EM、强化学习,吴恩达主讲版本是经典中的经典,适合打深基础。Stanford's graduate-level ML course with rigorous math derivations and concise notes, covering GLMs, SVMs, learning theory, EM and RL.
斯坦福 NLP 旗舰课:从词向量到 Transformer、预训练与提示,Manning 主讲,几乎是大模型时代的「前置必修课」,讲义与作业质量双高。Stanford's NLP flagship course from word vectors to Transformers and prompting, taught by Christopher Manning — the prerequisite course for the LLM era.
斯坦福王牌 CV 课程:从图像分类与 kNN 讲到 CNN、检测、分割、3D 与生成模型,课程 notes(中文翻译版流传极广)质量极高,Fei-Fei Li 团队出品。Stanford's flagship computer vision course: from image classification to CNNs, detection, segmentation and generative models, with legendary course notes.