{"id":31918721,"url":"https://github.com/mlnlp-world/machinelearning2025spring--notes","last_synced_at":"2026-02-16T23:40:22.866Z","repository":{"id":316059113,"uuid":"1061791377","full_name":"MLNLP-World/MachineLearning2025Spring--Notes","owner":"MLNLP-World","description":"Notes about courses Machine Learning 2025 Spring by Hung-yi 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unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-10-13T21:15:32.123Z","updated_at":"2026-02-16T23:40:22.838Z","avatar_url":"https://github.com/MLNLP-World.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\u003cp align=\"center\"\u003e\n\u003ch1 align=\"center\"\u003e \u003cimg src=\"https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/raw/main/imgs/icon/ai.png\" width=\"30\" /\u003e《李宏毅机器学习2025春》\u003c/h1\u003e\n\u003c/p\u003e\n\n\u003cdiv align=\"center\"\u003e\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"#项目动机\"\u003e项目动机\u003c/a\u003e/\n  \u003ca href=\"#课程简介\"\u003e课程简介\u003c/a\u003e/\n  \u003ca href=\"#课程资源\"\u003e课程资源\u003c/a\u003e/\n  \u003ca href=\"#笔记\"\u003e笔记\u003c/a\u003e/\n  \u003ca href=\"#组织者\"\u003e组织者\u003c/a\u003e/\n  \u003ca href=\"#贡献者\"\u003e贡献者\u003c/a\u003e\n\u003c/p\u003e\n\u003c/div\u003e\n\n---\n\n## \u003cimg src=\"https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/raw/main/imgs/icon/motivation.png\" width=\"25\" /\u003e 项目动机\n\n《机器学习2025春》是**李宏毅老师**（计算机科学家，台湾大学电机工程学系教授）主讲的一系列机器学习视频。本项目收集了我们在暑假期间学习《机器学习2025春》过程中详细的**markdown笔记**。我将该**markdown**笔记开源，希望与大家共同学习进步.\n\n\u003e本项目的特色：\n\u003e**markdown笔记**与原课程视频一一对应，可以帮助大家一边听课一边理解。\n\n课程视频**共12节**，视频时长由半小时到两小时不等.由于篇幅问题，我将reason_eval、reason_shorter、edit三个视频合成为一篇笔记**Model Editing**。\n\n本项目所用徽章来自互联网，如侵犯了您的图片版权请联系删除，谢谢。\n\n## \u003cimg src=\"https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/raw/main/imgs/icon/intro.png\" width=\"25\" /\u003e 课程简介\n\n本项目分享的课程==机器学习 2025 春==是台湾大学李宏毅教授面向**生成式 AI** 时代的最新课程，融合经典机器学习与前沿生成模型、AI Agent 技术，以生动案例和实践项目帮助学生掌握从基础到前沿的全栈能力。\n\n\n本课程不仅涵盖`监督学习`、`无监督学习`、`迁移学习`等传统机器学习方法，还重点引入了生成式 AI 推理能力和AI Agent 多步骤任务执行两大前沿主题。李宏毅教授通过实际演示，如利用 ChatGPT 生成讲稿、Breezy Voice 合成语音、Heygen 制作数字人视频，让学生直观感受生成式 AI 的应用潜力。\n\n同时，课程深入剖析了`自回归生成`、`Token 化原理`、**Transformer** 与 **Mamba**架构的优缺点，并通过订餐等生活化案例讲解 Agent 的规划、工具调用和交互判断能力。这使得学生在掌握技术原理的同时，也能学会将其落地到实际场景中。\n\n## \u003cimg src=\"https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/raw/main/imgs/icon/resource.png\" width=\"25\" /\u003e 课程资源\n\n- 课程网址：[ML 2025 Spring](https://speech.ee.ntu.edu.tw/~hylee/ml/2025-spring.php)\n- 李宏毅老师Youtube主页（亦可从主页进入观看）：[Hung-yi Lee](https://www.youtube.com/@HungyiLeeNTU)\n- Bilibili课程网址：[BV1aiADewEBC](https://www.bilibili.com/video/BV1aiADewEBC/?spm_id_from=333.337.search-card.all.click)\n\n此外，本门课程还附带有课堂练习，老师还附带有相应的代码实现。可从课程网址[ML 2025 Spring](https://speech.ee.ntu.edu.tw/~hylee/ml/2025-spring.php)中查看相应练习\n\n\n\n\n## \u003cimg src=\"https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/raw/main/imgs/icon/notes.png\" width=\"25\" /\u003e 笔记\n\n\u003ctable\u003e\n  \u003cthead\u003e\n    \u003ctr\u003e\n      \u003cth style=\"width: 24%\"\u003e章节\u003c/th\u003e\n      \u003cth style=\"width: 30%\"\u003e课程\u003c/th\u003e\n      \u003cth style=\"width: 16%\"\u003e链接\u003c/th\u003e\n      \u003cth style=\"width: 30%\"\u003e笔记\u003c/th\u003e\n    \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i-blog.csdnimg.cn/direct/09004ff797f343a392aec78506740a24.png\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e1.生成式人工智能的技术突破和未来发展\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=QLiKmca4kzI\u0026t=4846s\"\u003e第一讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-1.md\"\u003e1.生成式人工智能技术突破和未来发展\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i-blog.csdnimg.cn/direct/62d5ae7ed16e412ea92dd70648dd4b5e.png\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e2.一堂课搞懂AI Agent的原理\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=M2Yg1kwPpts\u0026t=5963s\"\u003e第二讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-2.md\"\u003e2.AI Agent\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i-blog.csdnimg.cn/direct/0ecb12d6888e4ba48ca9fc728fb5842f.png\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e3.大型语言模型内部运作机制\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=Xnil63UDW2o\"\u003e第三讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-3.md\"\u003e3.语言模型内部运作机制\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i-blog.csdnimg.cn/direct/6a2f818f0b4841c59652330302ce6c02.png\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e4.介绍Transformer的竞争者们\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=gjsdVi90yQo\u0026t=513s\"\u003e第四讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-4.md\"\u003e4.Transformer的竞争者们\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i-blog.csdnimg.cn/direct/d8dcaa70c1f6439fb3d0b66fbd96c05a.png\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e5.大型语言模型训练方法——预训练-对齐\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=Ozos6M1JtIE\u0026pp=0gcJCcoJAYcqIYzv\"\u003e第五讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-5.md\"\u003e5.预训练-对齐\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i-blog.csdnimg.cn/direct/5a7cbc11fbe943929da7b8e325f343b2.png\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e6.生成式人工智能的后训练与遗忘问题\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=Z6b5-77EfGk\u0026t=386s\"\u003e第六讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-6.md\"\u003e6.生成式人工智能的后训练和遗忘问题\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i-blog.csdnimg.cn/direct/8691e309f6724dc785b850c650ab737b.png\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e7.DeepSeek-R1这类大型语言模型是如何思考的\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=bJFtcwLSNxI\"\u003e第七讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-7.md\"\u003e7.大型语言模型的推理能力从何而来\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i.ytimg.com/vi/ip3XnTpcxoA/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB\u0026rs=AOn4CLAUFPU3uYcQmn2QZpxPQomWMR_fUw\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e8.大型语言模型的推理过程不用过长\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=ip3XnTpcxoA\u0026t=1273s\"\u003e第八讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-8.md\"\u003e8.模型编辑\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i.ytimg.com/vi/s266BzGNKKc/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB\u0026rs=AOn4CLAcGq3KTAmxdgVOKNFvPRkOb5AEBQ\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e9.大型语言模型的能力评估\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=s266BzGNKKc\"\u003e第九讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-8.md\"\u003e8.模型编辑\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i.ytimg.com/vi/9HPsz7F0mJg/hqdefault.jpg?sqp=-oaymwEnCNACELwBSFryq4qpAxkIARUAAIhCGAHYAQHiAQoIGBACGAY4AUAB\u0026rs=AOn4CLAU7gEuIAbT0zm5AwLZHF7cPBXKAQ\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e10.人工智能的\"微创手术\"——模型编辑\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=9HPsz7F0mJg\"\u003e第十讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-8.md\"\u003e8.模型编辑\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i-blog.csdnimg.cn/direct/3129a78df213466082930495a3e06b65.png\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e11.模型融合\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=jFUwoCkdqAo\"\u003e第十一讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-9.md\"\u003e9.模型融合\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003ctd\u003e\u003cimg src=\"https://i-blog.csdnimg.cn/direct/174e93c55d6447d4a5a6e3fe89149b80.png\" width=\"170\"\u003e\u003c/td\u003e\n      \u003ctd\u003e12.大型语音语言模型的发展\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://www.youtube.com/watch?v=gkAyqoQkOSk\"\u003e第十二讲\u003c/a\u003e\u003c/td\u003e\n      \u003ctd\u003e\u003ca href=\"https://github.com/RichardSchoolbag/MachineLearning2025Spring--Notes/blob/main/Notes/%E7%AC%94%E8%AE%B0-10.md\"\u003e10.语音语言模型的发展\u003c/a\u003e\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\n\n\n\n## \u003cimg src=\"https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/raw/main/imgs/icon/organizer.png\" width=\"25\" /\u003e 组织者\n感谢以下同学对本项目的组织\n\n\u003ca href=\"https://github.com/RichardSchoolbag\"\u003e  \u003cimg src=\"https://avatars.githubusercontent.com/u/187307077?s=96\u0026v=4\"  width=\"80\" /\u003e\u003c/a\u003e \n\n## \u003cimg src=\"https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/raw/main/imgs/icon/heart.png\" width=\"25\" /\u003e 贡献者\n感谢以下同学对本项目的支持与贡献\n\n\u003ca href=\"https://github.com/RichardSchoolbag\"\u003e  \u003cimg src=\"https://avatars.githubusercontent.com/u/187307077?s=96\u0026v=4\"  width=\"80\" /\u003e\u003c/a\u003e \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlnlp-world%2Fmachinelearning2025spring--notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmlnlp-world%2Fmachinelearning2025spring--notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlnlp-world%2Fmachinelearning2025spring--notes/lists"}