{"id":23099013,"url":"https://github.com/nl8590687/machine-learning-tutorial-chinese","last_synced_at":"2025-08-17T22:12:31.721Z","repository":{"id":114452548,"uuid":"153873442","full_name":"nl8590687/Machine-Learning-Tutorial-Chinese","owner":"nl8590687","description":"专门面向中文用户的机器学习相关的学习资料大集合","archived":false,"fork":false,"pushed_at":"2021-01-22T14:47:39.000Z","size":22,"stargazers_count":150,"open_issues_count":0,"forks_count":45,"subscribers_count":9,"default_branch":"master","last_synced_at":"2025-06-07T09:07:23.034Z","etag":null,"topics":["artificial-intelligence","deep-learning","machine-learning","tutorials"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/nl8590687.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2018-10-20T05:38:19.000Z","updated_at":"2025-04-05T01:12:42.000Z","dependencies_parsed_at":"2023-06-07T23:30:48.120Z","dependency_job_id":null,"html_url":"https://github.com/nl8590687/Machine-Learning-Tutorial-Chinese","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/nl8590687/Machine-Learning-Tutorial-Chinese","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nl8590687%2FMachine-Learning-Tutorial-Chinese","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nl8590687%2FMachine-Learning-Tutorial-Chinese/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nl8590687%2FMachine-Learning-Tutorial-Chinese/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nl8590687%2FMachine-Learning-Tutorial-Chinese/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nl8590687","download_url":"https://codeload.github.com/nl8590687/Machine-Learning-Tutorial-Chinese/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nl8590687%2FMachine-Learning-Tutorial-Chinese/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270913801,"owners_count":24667020,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-17T02:00:09.016Z","response_time":129,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["artificial-intelligence","deep-learning","machine-learning","tutorials"],"created_at":"2024-12-16T23:16:44.617Z","updated_at":"2025-08-17T22:12:31.711Z","avatar_url":"https://github.com/nl8590687.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine-Learning-Tutorial-Chinese\n### 专门面向中文用户的机器学习相关的学习资料大集合\n\n任何学习教程的**不在数量多，而在质量精**，几个优秀的、经典的教程学完吃透，比天天下载收藏一堆花里胡哨的资源帖却很少看要来的更实在。作者在这里集合一批**优质的**、并且**对中文用户友好的**各类机器学习相关的学习资料，希望能对大家的学习工作起到一定的帮助。\n\n欢迎各位大虾随时来补充和更新~\n\n也欢迎各位同学一起加群学习交流，提供资源下载，加入QQ群：**894112051**，加入微信群请先加微信 **ailemon-me**，并注明来自GitHub学习资料项目，稍后会拉您入群。\n\n---\n\n## 机器学习基础知识教程\n* [机器学习 - 吴恩达](https://www.coursera.org/learn/machine-learning) Coursera视频课程 中文字幕\n* [斯坦福大学公开课 ：机器学习课程](http://open.163.com/special/opencourse/machinelearning.html) 中文字幕\n* 谷歌机器学习速成课程： \n  [中文版](\u003chttps://developers.google.com/machine-learning/crash-course/\u003e)\n  [英文版](\u003chttps://ai.google/education/\u003e)\n\n* 书籍\n  * 《机器学习》 周志华 清华大学出版社\n  * 《统计学习方法》 李航 清华大学出版社\n  * 《统计学习方法(第二版)》 李航 清华大学出版社 (2019年5月1日出版)\n\n* 其他推荐的英文课程\n  * [CS229: Machine Learning](http://cs229.stanford.edu/) 吴恩达\n\n## 深度学习基础知识教程\n* [深度学习工程师 - 吴恩达](https://mooc.study.163.com/smartSpec/detail/1001319001.htm) - 网易公开课 中文字幕\n  * [神经网络和深度学习](https://mooc.study.163.com/course/2001281002#/info)\n  * [改善深层神经网络：超参数调试、正则化以及优化](https://mooc.study.163.com/course/2001281003#/info)\n  * [结构化机器学习项目](https://mooc.study.163.com/course/2001280004#/info)\n  * [卷积神经网络](https://mooc.study.163.com/course/2001281004#/info)\n  * [序列模型](https://mooc.study.163.com/course/2001280005#/info)\n\n* [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) 中文字幕\n\n* 书籍\n  * 《动手深度学习》 MXNet Community 人民邮电出版社\n\n    [官网](\u003chttps://zh.gluon.ai/\u003e) | \n    [在线阅读](\u003chttps://zh.d2l.ai/\u003e) | \n    [在线视频课程目录](\u003chttps://discuss.gluon.ai/t/topic/753\u003e) |\n    [GitHub仓库](\u003chttps://github.com/d2l-ai/d2l-zh\u003e) | \n    [GitHub仓库(英文)](\u003chttps://github.com/d2l-ai/d2l-en\u003e) |\n    [中文PDF版下载(GitHub)](\u003chttps://github.com/d2l-ai/d2l-zh/releases\u003e) \n  * *Pattern Recognition and Machine Learning (PRML)* \n  * 花书：《Deep Learning / 深度学习》 [美]伊恩·古德费洛(Ian Goodfellow)等 著 赵申剑等 译 中国工信出版集团 人民邮电出版社\n\n* 其他推荐的英文课程\n  * [CS224d: Deep Learning for Natural Language Processing](\u003chttp://cs224d.stanford.edu/\u003e)\n  * [CS231n: Convolutional Neural Networks for Visual Recognition](\u003chttp://vision.stanford.edu/teaching/cs231n/index.html\u003e)\n\n## 编程语言及计算机学科基础知识\n* Python3 学习教程: \n  * [廖雪峰的Python3教程](www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000)\n  * [Python语言程序设计 - 中国大学MOOC](\u003chttps://www.icourse163.org/course/BIT-268001\u003e) 北京理工大学计算机课程 (国家精品课)\n* C/C++ 学习资料：\n  * 书籍：《C Primer Plus》 《C++ Primer》\n* 数据结构和算法：\n  * 书籍：《数据结构（清华版）》《算法（普林斯顿大学版）》《算法导论》《剑指Offer》\n  * 做题：LeetCode、牛客网\n\n## 计算机视觉\n* CS231n: [CS231n: Convolutional Neural Networks for Visual Recognition](\u003chttp://vision.stanford.edu/teaching/cs231n/index.html\u003e) [CS231n计算机视觉课程 网易云课堂](https://study.163.com/course/courseLearn.htm?courseId=1003223001#/learn/video?lessonId=1003659005\u0026courseId=1003223001)\n* 书籍\n  * 《计算机视觉》 贾云德\n## 语音识别\n* 书籍\n  * 《语音识别——原理与应用》 洪青阳 李琳 著 中国工信出版集团 电子工业出版社\n  * 《解析深度学习——语音识别实践》 【美】俞栋 邓力 著 电子工业出版社\n  * 《Kaldi语音识别实战》 陈果果 都家宇 那兴宇 张俊博 著 中国工信出版集团 电子工业出版社\n\n* 相关GitHub仓库\n  * [ASRT语音识别项目](\u003chttps://github.com/nl8590687/ASRT_SpeechRecognition\u003e)\n  * [ASRT配套客户端(WPF)](\u003chttps://github.com/nl8590687/ASRT_SpeechClient_WPF\u003e)\n  * [ASRT配套客户端(UWP)](\u003chttps://github.com/nl8590687/ASRT_SpeechClient_UWP\u003e)\n  * [复现的百度DeepSpeech架构](\u003chttps://github.com/mozilla/DeepSpeech\u003e)\n  * [Kaldi项目](\u003chttps://github.com/kaldi-asr/kaldi\u003e)\n\n## 数据挖掘\n* 书籍\n  * 《数据挖掘：概念与技术》 韩家炜 机械工业出版社\n  * 《数据挖掘导论》 Pang-Ning Tan 人民邮电出版社\n\n## 自然语言处理\n* [CS224d: Deep Learning for Natural Language Processing](\u003chttp://cs224d.stanford.edu/\u003e)\n\n## 其他相关教程\n* 书籍\n  * 《数学之美》 吴军 人民邮电出版社\n\n* 重要论文\n[查看论文目录](Papers.md)\n\n* 相关文章教程\n[查看文章教程目录](Tutorial.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnl8590687%2Fmachine-learning-tutorial-chinese","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnl8590687%2Fmachine-learning-tutorial-chinese","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnl8590687%2Fmachine-learning-tutorial-chinese/lists"}