[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-fengdu78--machine_learning_beginner":3,"tool-fengdu78--machine_learning_beginner":65},[4,23,32,40,49,57],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":22},2268,"ML-For-Beginners","microsoft\u002FML-For-Beginners","ML-For-Beginners 是由微软推出的一套系统化机器学习入门课程，旨在帮助零基础用户轻松掌握经典机器学习知识。这套课程将学习路径规划为 12 周，包含 26 节精炼课程和 52 道配套测验，内容涵盖从基础概念到实际应用的完整流程，有效解决了初学者面对庞大知识体系时无从下手、缺乏结构化指导的痛点。\n\n无论是希望转型的开发者、需要补充算法背景的研究人员，还是对人工智能充满好奇的普通爱好者，都能从中受益。课程不仅提供了清晰的理论讲解，还强调动手实践，让用户在循序渐进中建立扎实的技能基础。其独特的亮点在于强大的多语言支持，通过自动化机制提供了包括简体中文在内的 50 多种语言版本，极大地降低了全球不同背景用户的学习门槛。此外，项目采用开源协作模式，社区活跃且内容持续更新，确保学习者能获取前沿且准确的技术资讯。如果你正寻找一条清晰、友好且专业的机器学习入门之路，ML-For-Beginners 将是理想的起点。",84991,2,"2026-04-05T10:45:23",[13,14,15,16,17,18,19,20,21],"图像","数据工具","视频","插件","Agent","其他","语言模型","开发框架","音频","ready",{"id":24,"name":25,"github_repo":26,"description_zh":27,"stars":28,"difficulty_score":29,"last_commit_at":30,"category_tags":31,"status":22},3128,"ragflow","infiniflow\u002Fragflow","RAGFlow 是一款领先的开源检索增强生成（RAG）引擎，旨在为大语言模型构建更精准、可靠的上下文层。它巧妙地将前沿的 RAG 技术与智能体（Agent）能力相结合，不仅支持从各类文档中高效提取知识，还能让模型基于这些知识进行逻辑推理和任务执行。\n\n在大模型应用中，幻觉问题和知识滞后是常见痛点。RAGFlow 通过深度解析复杂文档结构（如表格、图表及混合排版），显著提升了信息检索的准确度，从而有效减少模型“胡编乱造”的现象，确保回答既有据可依又具备时效性。其内置的智能体机制更进一步，使系统不仅能回答问题，还能自主规划步骤解决复杂问题。\n\n这款工具特别适合开发者、企业技术团队以及 AI 研究人员使用。无论是希望快速搭建私有知识库问答系统，还是致力于探索大模型在垂直领域落地的创新者，都能从中受益。RAGFlow 提供了可视化的工作流编排界面和灵活的 API 接口，既降低了非算法背景用户的上手门槛，也满足了专业开发者对系统深度定制的需求。作为基于 Apache 2.0 协议开源的项目，它正成为连接通用大模型与行业专有知识之间的重要桥梁。",77062,3,"2026-04-04T04:44:48",[17,13,20,19,18],{"id":33,"name":34,"github_repo":35,"description_zh":36,"stars":37,"difficulty_score":29,"last_commit_at":38,"category_tags":39,"status":22},519,"PaddleOCR","PaddlePaddle\u002FPaddleOCR","PaddleOCR 是一款基于百度飞桨框架开发的高性能开源光学字符识别工具包。它的核心能力是将图片、PDF 等文档中的文字提取出来，转换成计算机可读取的结构化数据，让机器真正“看懂”图文内容。\n\n面对海量纸质或电子文档，PaddleOCR 解决了人工录入效率低、数字化成本高的问题。尤其在人工智能领域，它扮演着连接图像与大型语言模型（LLM）的桥梁角色，能将视觉信息直接转化为文本输入，助力智能问答、文档分析等应用场景落地。\n\nPaddleOCR 适合开发者、算法研究人员以及有文档自动化需求的普通用户。其技术优势十分明显：不仅支持全球 100 多种语言的识别，还能在 Windows、Linux、macOS 等多个系统上运行，并灵活适配 CPU、GPU、NPU 等各类硬件。作为一个轻量级且社区活跃的开源项目，PaddleOCR 既能满足快速集成的需求，也能支撑前沿的视觉语言研究，是处理文字识别任务的理想选择。",74939,"2026-04-05T23:16:38",[19,13,20,18],{"id":41,"name":42,"github_repo":43,"description_zh":44,"stars":45,"difficulty_score":46,"last_commit_at":47,"category_tags":48,"status":22},3215,"awesome-machine-learning","josephmisiti\u002Fawesome-machine-learning","awesome-machine-learning 是一份精心整理的机器学习资源清单，汇集了全球优秀的机器学习框架、库和软件工具。面对机器学习领域技术迭代快、资源分散且难以甄选的痛点，这份清单按编程语言（如 Python、C++、Go 等）和应用场景（如计算机视觉、自然语言处理、深度学习等）进行了系统化分类，帮助使用者快速定位高质量项目。\n\n它特别适合开发者、数据科学家及研究人员使用。无论是初学者寻找入门库，还是资深工程师对比不同语言的技术选型，都能从中获得极具价值的参考。此外，清单还延伸提供了免费书籍、在线课程、行业会议、技术博客及线下聚会等丰富资源，构建了从学习到实践的全链路支持体系。\n\n其独特亮点在于严格的维护标准：明确标记已停止维护或长期未更新的项目，确保推荐内容的时效性与可靠性。作为机器学习领域的“导航图”，awesome-machine-learning 以开源协作的方式持续更新，旨在降低技术探索门槛，让每一位从业者都能高效地站在巨人的肩膀上创新。",72149,1,"2026-04-03T21:50:24",[20,18],{"id":50,"name":51,"github_repo":52,"description_zh":53,"stars":54,"difficulty_score":46,"last_commit_at":55,"category_tags":56,"status":22},2234,"scikit-learn","scikit-learn\u002Fscikit-learn","scikit-learn 是一个基于 Python 构建的开源机器学习库，依托于 SciPy、NumPy 等科学计算生态，旨在让机器学习变得简单高效。它提供了一套统一且简洁的接口，涵盖了从数据预处理、特征工程到模型训练、评估及选择的全流程工具，内置了包括线性回归、支持向量机、随机森林、聚类等在内的丰富经典算法。\n\n对于希望快速验证想法或构建原型的数据科学家、研究人员以及 Python 开发者而言，scikit-learn 是不可或缺的基础设施。它有效解决了机器学习入门门槛高、算法实现复杂以及不同模型间调用方式不统一的痛点，让用户无需重复造轮子，只需几行代码即可调用成熟的算法解决分类、回归、聚类等实际问题。\n\n其核心技术亮点在于高度一致的 API 设计风格，所有估算器（Estimator）均遵循相同的调用逻辑，极大地降低了学习成本并提升了代码的可读性与可维护性。此外，它还提供了强大的模型选择与评估工具，如交叉验证和网格搜索，帮助用户系统地优化模型性能。作为一个由全球志愿者共同维护的成熟项目，scikit-learn 以其稳定性、详尽的文档和活跃的社区支持，成为连接理论学习与工业级应用的最",65628,"2026-04-05T10:10:46",[20,18,14],{"id":58,"name":59,"github_repo":60,"description_zh":61,"stars":62,"difficulty_score":10,"last_commit_at":63,"category_tags":64,"status":22},3364,"keras","keras-team\u002Fkeras","Keras 是一个专为人类设计的深度学习框架，旨在让构建和训练神经网络变得简单直观。它解决了开发者在不同深度学习后端之间切换困难、模型开发效率低以及难以兼顾调试便捷性与运行性能的痛点。\n\n无论是刚入门的学生、专注算法的研究人员，还是需要快速落地产品的工程师，都能通过 Keras 轻松上手。它支持计算机视觉、自然语言处理、音频分析及时间序列预测等多种任务。\n\nKeras 3 的核心亮点在于其独特的“多后端”架构。用户只需编写一套代码，即可灵活选择 TensorFlow、JAX、PyTorch 或 OpenVINO 作为底层运行引擎。这一特性不仅保留了 Keras 一贯的高层易用性，还允许开发者根据需求自由选择：利用 JAX 或 PyTorch 的即时执行模式进行高效调试，或切换至速度最快的后端以获得最高 350% 的性能提升。此外，Keras 具备强大的扩展能力，能无缝从本地笔记本电脑扩展至大规模 GPU 或 TPU 集群，是连接原型开发与生产部署的理想桥梁。",63927,"2026-04-04T15:24:37",[20,14,18],{"id":66,"github_repo":67,"name":68,"description_en":69,"description_zh":70,"ai_summary_zh":71,"readme_en":72,"readme_zh":73,"quickstart_zh":74,"use_case_zh":75,"hero_image_url":76,"owner_login":77,"owner_name":78,"owner_avatar_url":79,"owner_bio":80,"owner_company":81,"owner_location":82,"owner_email":83,"owner_twitter":81,"owner_website":84,"owner_url":85,"languages":86,"stars":99,"forks":100,"last_commit_at":101,"license":81,"difficulty_score":46,"env_os":102,"env_gpu":102,"env_ram":102,"env_deps":103,"category_tags":113,"github_topics":81,"view_count":10,"oss_zip_url":81,"oss_zip_packed_at":81,"status":22,"created_at":114,"updated_at":115,"faqs":116,"releases":117},1433,"fengdu78\u002Fmachine_learning_beginner","machine_learning_beginner","机器学习初学者公众号作品","machine_learning_beginner 是由“机器学习初学者”公众号精心整理的开源学习资源库，旨在为 AI 新手提供一条清晰、系统的入门路径。面对海量且杂乱的学习资料，许多初学者往往感到无从下手，machine_learning_beginner 通过精选原创文章与实战代码，有效解决了“资料太多、不知如何取舍”的痛点。\n\n该资源库内容涵盖数学基础、Python 编程（包括 Numpy、Pandas、Matplotlib）、机器学习经典算法（Sklearn 案例）以及深度学习框架（PyTorch、TensorFlow、Keras）的核心教程。其中不仅包含了《Python 深度学习》等经典书籍的代码复现，还整合了吴恩达机器学习课程笔记等高质量外部资源，形成了从理论到实践的完整闭环。\n\nmachine_learning_beginner 特别适合本科及硕士学生、刚接触机器学习的博士生，以及希望利用碎片时间系统自学 AI 的开发者。其独特的亮点在于将复杂的学术内容转化为通俗易懂的中文教程，并提供了可直接运行的代码示例，帮助用户在理解原理的同时快速上手实战。无论你是想打好数学根基，还","machine_learning_beginner 是由“机器学习初学者”公众号精心整理的开源学习资源库，旨在为 AI 新手提供一条清晰、系统的入门路径。面对海量且杂乱的学习资料，许多初学者往往感到无从下手，machine_learning_beginner 通过精选原创文章与实战代码，有效解决了“资料太多、不知如何取舍”的痛点。\n\n该资源库内容涵盖数学基础、Python 编程（包括 Numpy、Pandas、Matplotlib）、机器学习经典算法（Sklearn 案例）以及深度学习框架（PyTorch、TensorFlow、Keras）的核心教程。其中不仅包含了《Python 深度学习》等经典书籍的代码复现，还整合了吴恩达机器学习课程笔记等高质量外部资源，形成了从理论到实践的完整闭环。\n\nmachine_learning_beginner 特别适合本科及硕士学生、刚接触机器学习的博士生，以及希望利用碎片时间系统自学 AI 的开发者。其独特的亮点在于将复杂的学术内容转化为通俗易懂的中文教程，并提供了可直接运行的代码示例，帮助用户在理解原理的同时快速上手实战。无论你是想打好数学根基，还是渴望掌握主流深度学习框架，这里都能为你提供坚实的支持，助你顺利跨越入门门槛，建立独立解决问题的能力。","# 机器学习初学者公众号\n\n![公众号](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Ffengdu78_machine_learning_beginner_readme_5ae54986e373.jpg)\n\n本仓库是“机器学习初学者”公众号发布的内容代码。\n\n机器学习qq群：659697409（我们有9个群，加过一个就不需要加了）\n\n## 这个仓库的内容目录\n\n#### 2019年精选文章\n\n[2019](2019\u002F)\n\n#### AI基础\n\n[AI_beginner](AI_beginner\u002F)\n\n#### 深度学习内容\n\n- 1.[PyTorch60分钟入门（中文翻译）](PyTorch_beginner\u002F)（目录名：PyTorch_beginner）\n- 2.[Python深度学习原书代码中文翻译](deep-learning-with-python-notebooks\u002F)（目录名：deep-learning-with-python-notebooks）\n- 3.[强烈推荐的TensorFlow、Pytorch和Keras的样例资源](deep-learning-with-tensorflow-keras-pytorch\u002F)（目录名：deep-learning-with-tensorflow-keras-pytorch）\n\n#### Python基础\n\n- 1.[两天入门Python](python-start\u002F)(目录名：python-start)\n- 2.[适合初学者快速入门的Numpy实战全集](numpy\u002F)(目录名：numpy)\n- 3.[matplotlib学习之基本使用](matplotlib\u002F)(目录名：matplotlib)\n- 4.[Sklearn入门经典案例](pyparis-2018-sklearn\u002F)(目录名：pyparis-2018-sklearn)\n- 5.[两天学会pandas](pandas\u002F)(目录名：pandas)\n\n\n\n## 本站的其他开源仓库\n\n#### 本人整理\n\n- 1.[吴恩达老师的机器学习课程个人笔记](https:\u002F\u002Fgithub.com\u002Ffengdu78\u002FCoursera-ML-AndrewNg-Notes)\n\n- 2.[deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）](https:\u002F\u002Fgithub.com\u002Ffengdu78\u002Fdeeplearning_ai_books)\n\n- 3.[《统计学习方法的代码实现》](https:\u002F\u002Fgithub.com\u002Ffengdu78\u002Flihang-code)\n\n\n#### 大神之作\n\n- 1.[徐亦达老师的机器学习资料分享](https:\u002F\u002Fgithub.com\u002Froboticcam\u002Fmachine-learning-notes)\n- 2.[华校专老师的笔记分享](http:\u002F\u002Fwww.huaxiaozhuan.com\u002F)\n- 3.[LFD习题解答（林轩田机器学习课程内容）（作者秦臻）](https:\u002F\u002Fgithub.com\u002FDoraemonzzz\u002FLearning-from-data)\n\n\n\n> 以下为是公众号创立以来的精选原创文章，适合初学者入门 AI。本文建议用微信收藏用碎片时间学习。（黄海广）\n\n## 一、前言\n\nAI 初学者最大的问题就是：\n\n**资料太多！看不完！！不知道如何取舍！！**\n\n我把 公众号创办以来的原创文章进行整理，文章适合**本科、硕士以及刚接触机器学习的博士**。\n\n学完这些文章学完以后，就基本入门了。\n\n入门以后，遇到问题能上网搜索解决了，也知道接下来应该学什么。\n\n本文建议用微信收藏，利用碎片时间学习。\n\n#### 作者简介：\n\n[那些年做的学术公益-你不是一个人在战斗](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484487&idx=1&sn=1df61f5f1ae6838f2eef1f4a3c702733&chksm=97048ffba07306edb4e816f8fc6ef8bdeb33ed644e68b4353649697fa0c11044f26c3bf788e8&scene=21#wechat_redirect)\n\n## 二、学习路线\n\n- [首发：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484737&idx=1&sn=27c52b4bc4ca98d3ab817344b84226cc&chksm=97048efda07307eb78d4f4ec0039a386a658404156b051af0cb715fafa8d2ae66cbe49343bf3&scene=21#wechat_redirect)[适合初学者入门人工智能的路线及资料下载](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484737&idx=1&sn=27c52b4bc4ca98d3ab817344b84226cc&chksm=97048efda07307eb78d4f4ec0039a386a658404156b051af0cb715fafa8d2ae66cbe49343bf3&scene=21#wechat_redirect)\n\n这篇文章为初学者提供了入门的路线。包含数学基础、python 入门、机器学习、深度学习、特征工程入门等。并把代码放在了 github 仓库：\n\nhttps:\u002F\u002Fgithub.com\u002Ffengdu78\u002FData-Science-Notes\n\n- [机器学习在线手册：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247486187&idx=1&sn=3c86ade48695ce102e93fa813c55f126&chksm=97048157a07308419d900bec1ff4699092c62c7ed331a334734a4225db0b2274a7b134153037&scene=21#wechat_redirect)[像背托福单词一样学机器学习](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247486187&idx=1&sn=3c86ade48695ce102e93fa813c55f126&chksm=97048157a07308419d900bec1ff4699092c62c7ed331a334734a4225db0b2274a7b134153037&scene=21#wechat_redirect)\n\n这篇文章将机器学习的精华部分做成了手册，打开微信就能学习，适合平时时间少的朋友学习机器学习，可以在通勤的时候在手机上学习，建议收藏本文慢慢学习\n\n## 三、基础知识\n\n- [带你少走弯路！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485787&idx=1&sn=d53e991935fc6def2919b2bed6111f8d&chksm=970482e7a0730bf17c9fc7f5a639a21331be477af74b039ec56c0a4eaf0220259733d9852684&scene=21#wechat_redirect)[！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485787&idx=1&sn=d53e991935fc6def2919b2bed6111f8d&chksm=970482e7a0730bf17c9fc7f5a639a21331be477af74b039ec56c0a4eaf0220259733d9852684&scene=21#wechat_redirect)[黄博整理的机器学习数学基础资料来帮你（可在线阅读）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485787&idx=1&sn=d53e991935fc6def2919b2bed6111f8d&chksm=970482e7a0730bf17c9fc7f5a639a21331be477af74b039ec56c0a4eaf0220259733d9852684&scene=21#wechat_redirect)\n\n上面这篇文章是数学基础，也是以下五篇文章的整合版本，可以在线阅读，也可以根据需要分别阅读。\n\n- [首发：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485293&idx=2&sn=2650e61d6268f667333e86cb52ab1df1&chksm=97048cd1a07305c73229a0b3daf887ac4960fcbd3f378bbc0b40b9b38203fca387b29218fcbd&scene=21#wechat_redirect)[吴恩达的 CS229 的数学基础（概率论），有人把它做成了在线翻译版本！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485293&idx=2&sn=2650e61d6268f667333e86cb52ab1df1&chksm=97048cd1a07305c73229a0b3daf887ac4960fcbd3f378bbc0b40b9b38203fca387b29218fcbd&scene=21#wechat_redirect)\n- [首发：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485221&idx=2&sn=105073d243e1d39e10c7ad3dd22043c8&chksm=97048c99a073058fd51d33990ed476ff34acbe22aa7f52cdcd396f2283b22312feafbffb0e5b&scene=21#wechat_redirect)[吴恩达的 CS229 的数学基础（线性代数），有人把它做成了在线翻译版本！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485221&idx=2&sn=105073d243e1d39e10c7ad3dd22043c8&chksm=97048c99a073058fd51d33990ed476ff34acbe22aa7f52cdcd396f2283b22312feafbffb0e5b&scene=21#wechat_redirect)\n- [在线阅读！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[机器学习数学精华：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[高等数学](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)\n- [在线阅读！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[机器学习数学精华：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[线性代数](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)\n- [在线阅读！！机器学习数学精华：概率论与数理统计](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=5&sn=af7c82f85740eac5672080d936869639&chksm=970482b7a0730ba13b6c4be0a40a0dc6c98c500ff9ea29dca61bba592513236144148320636c&scene=21#wechat_redirect)\n\n## 四、机器学习\n\n原创作品为以下三个：\n\n- [吴恩达机器学习课程笔记及资源（github 标星 12000+，提供百度云镜像）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484544&idx=1&sn=c5b92a7c4a2bdca10d92ff06dbb315c4&chksm=97048f3ca073062a00c2e961daa9c17585d8b5cb8e73229b5b0364a6fc680b242dd7b409bd23&scene=21#wechat_redirect)\n- [《统计学习方法》的 python 代码实现（github 标星 7200+）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484580&idx=1&sn=7cf0ca2e05fc1ed71dff380bf1f60ff6&chksm=97048f18a073060e85ae439fd458bd976bf21366ca2b36ed3aeefda297b47d5c5a91196a4513&scene=21#wechat_redirect)\n- [推荐：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484360&idx=1&sn=d1859797428994bdb2b265aa4ddb98b9&chksm=97048874a07301627e89152fd2f84ba82d005348f7f04723a4e10facd463b8607691d6510678&scene=21#wechat_redirect)[《机器学习实战：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484360&idx=1&sn=d1859797428994bdb2b265aa4ddb98b9&chksm=97048874a07301627e89152fd2f84ba82d005348f7f04723a4e10facd463b8607691d6510678&scene=21#wechat_redirect)[基于 Scikit-Learn 和 TensorFlow》中文翻译和代码下载](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484360&idx=1&sn=d1859797428994bdb2b265aa4ddb98b9&chksm=97048874a07301627e89152fd2f84ba82d005348f7f04723a4e10facd463b8607691d6510678&scene=21#wechat_redirect)\n\n后来又制作成了在线阅读版本：\n\n- [带你少走弯路：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485997&idx=1&sn=975216fdafe7e09bc515c944aaf7a26a&chksm=97048191a0730887950f73c6774921eefd0e26da5b3568f100cf6c45f22e783514076624120d&scene=21#wechat_redirect)[五篇文章学完吴恩达机器学习](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485997&idx=1&sn=975216fdafe7e09bc515c944aaf7a26a&chksm=97048191a0730887950f73c6774921eefd0e26da5b3568f100cf6c45f22e783514076624120d&scene=21#wechat_redirect)\n- [经典复现：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247486130&idx=2&sn=401a94b7db6e0e531ab3a745d3a1e3ed&chksm=9704810ea073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)[《统计学习方法》的代码实现（在线阅读！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247486130&idx=2&sn=401a94b7db6e0e531ab3a745d3a1e3ed&chksm=9704810ea073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)[）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247486130&idx=2&sn=401a94b7db6e0e531ab3a745d3a1e3ed&chksm=9704810ea073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)\n\n#### 机器学习相关\n\n- [机器学习练习数据哪里找？](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484828&idx=1&sn=fbd9a75c363580e85d7000fd02ad56af&chksm=97048e20a07307369410f16924178d836587b4407abb4f3e5c9f3017f9adda9b5538fef6f912&scene=21#wechat_redirect)[两行代码搞定！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484828&idx=1&sn=fbd9a75c363580e85d7000fd02ad56af&chksm=97048e20a07307369410f16924178d836587b4407abb4f3e5c9f3017f9adda9b5538fef6f912&scene=21#wechat_redirect)\n- [学完可以解决 90%以上的数据分析问题-利用 python 进行数据分析第二版（代码和中文笔记）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484383&idx=1&sn=de695ff5e6a3e36a1c54a4a498e36a95&chksm=97048863a07301759227c74c174f6596c9da6fbf40b2fa276f87b1e845c808cacd70b51c7f6a&scene=21#wechat_redirect)\n- [特征工程的宝典-《Feature Engineering for Machine Learning》翻译及代码实现](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484297&idx=1&sn=c862ea44abc4f90c52c5d1e9609bd9d7&chksm=97048835a07301239f1bcfcb1ef0eb66058dcb6cce2acfc8f04bbee6660f20d846fbca79a0f0&scene=21#wechat_redirect)\n\n## 五、深度学习\n\n#### 吴恩达深度学习课程笔记和资源\n\n- [吴恩达深度学习笔记及视频等资源（github 标星 8500+，提供百度云镜像）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484558&idx=1&sn=d2033198fa6227a4cd561c70a93f2e2a&chksm=97048f32a07306245660808fe46569d8999491108a3d37eb833a27c8f597cd3a2c18852df014&scene=21#wechat_redirect)\n\n#### TensorFlow 入门：\n\n- [带你少走弯路：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484633&idx=1&sn=adf2dfee2bf09e6dab0a67d329bd0c50&chksm=97048f65a073067365daa419808913b50872a18ef9bb16a5011f90967eb89c335fb204c027d2&scene=21#wechat_redirect)[强烈推荐的 TensorFlow 快速入门资料和翻译（可下载）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484633&idx=1&sn=adf2dfee2bf09e6dab0a67d329bd0c50&chksm=97048f65a073067365daa419808913b50872a18ef9bb16a5011f90967eb89c335fb204c027d2&scene=21#wechat_redirect)\n\n#### keras 入门：\n\n- [带你少走弯路：强烈推荐的 Keras 快速入门资料和翻译（可下载）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484794&idx=1&sn=9b52adc9138fda3d404dff24e03d14b5&chksm=97048ec6a07307d01ae2c93aa887d3c6ac6ec5f9d2ed5a5b8260182e3f47fae3ea9f08a1a0bf&scene=21#wechat_redirect)\n\n#### Pytorch入门：\n\n- [带你少走弯路：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484721&idx=2&sn=f2c6084354c912d91fbbb7f09adaf4ac&chksm=97048e8da073079b40d8a4cad5c016d762e1668ffd52f2d04bcb702e4530a9a275d73035ca9c&scene=21#wechat_redirect)[强烈推荐的 Pytorch 快速入门资料和翻译（可下载）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484721&idx=2&sn=f2c6084354c912d91fbbb7f09adaf4ac&chksm=97048e8da073079b40d8a4cad5c016d762e1668ffd52f2d04bcb702e4530a9a275d73035ca9c&scene=21#wechat_redirect)\n\n### 其他资料\n\n- [首发：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484411&idx=1&sn=0f95762a29249ea40b11edd24648c8d0&chksm=97048847a0730151f4bdd1d99ccf454206108fcf7f5b61b100f3dc39a7c46f926fc3da084c72&scene=21#wechat_redirect)[深度学习入门宝典-《python 深度学习》原文代码中文注释版及电子书](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484411&idx=1&sn=0f95762a29249ea40b11edd24648c8d0&chksm=97048847a0730151f4bdd1d99ccf454206108fcf7f5b61b100f3dc39a7c46f926fc3da084c72&scene=21#wechat_redirect)\n- [强烈推荐的 TensorFlow、Pytorch 和 Keras 的样例资源（深度学习初学者必须收藏）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484393&idx=1&sn=c22c28eb324e052bdb5a399915c0b1c4&chksm=97048855a073014366257382f64e44b7ef6dcc59a0c3991abe0bb4128c0e471e28cf328ae9e4&scene=21#wechat_redirect)\n- [Ubuntu 18.04 深度学习环境配置（CUDA9.0+CUDDN7.4+TensorFolw1.8）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484401&idx=1&sn=73e97612c8a8c6cbb65461f999c024ff&chksm=9704884da073015bfc9e3ee0d5c9765f9a48bee1091da319d024de63bc2d202c9a53ca6057b7&scene=21#wechat_redirect)\n\n## 六、Python 相关\n\n- [学习 python 入门的个人建议及资料](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484426&idx=1&sn=c1971be3d85a8c247a5c77bfd925733d&chksm=97048fb6a07306a0ad6f51f1aa90225c685e46ad5adddf929a110cdd46ed9105ff1c1b1a90e9&scene=21#wechat_redirect)\n- [Python 环境的安装（Anaconda+Jupyter notebook+Pycharm）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484364&idx=1&sn=2d7cf6b8d8a4647a32459cb3798f3d76&chksm=97048870a0730166a7c2e9be889cb926b98585947d123500d958f2afe5afbfd21a5718684896&scene=21#wechat_redirect)\n- [Python 代码写得丑怎么办？](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484361&idx=1&sn=086b8b9cbed37fd1932b6a8e6e517e2d&chksm=97048875a07301633726942278aac93d005fc673dcf740b8f6d6c75c544d0254828dc7e60b58&scene=21#wechat_redirect)[推荐几个神器拯救你](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484361&idx=1&sn=086b8b9cbed37fd1932b6a8e6e517e2d&chksm=97048875a07301633726942278aac93d005fc673dcf740b8f6d6c75c544d0254828dc7e60b58&scene=21#wechat_redirect)\n- [Numpy 练习题 100 题-提高你的数据分析技能](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484368&idx=1&sn=9ec8ab2ab1f368b877799c90d0cdc671&chksm=9704886ca073017a452532d35129f4923b895c09e43e9e9debaa8261d895540462ab5dbda239&scene=21#wechat_redirect)\n- [Pandas 练习题-提高你的数据分析技能](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484373&idx=1&sn=e48f845dccdec3c912e6cd16c7e363a8&chksm=97048869a073017fd8d4dd571807dd220940c7c9d729cf9c45fb66bab37ae0bc741272e79135&scene=21#wechat_redirect)\n- [python 绘图工具基础-matplotlib 学习之基本使用](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484389&idx=1&sn=7ab4f99f76b02a5198740c2b5fde91dc&chksm=97048859a073014f9fda1dc00eef5b47b78c15def4478463bc4bba773790474b225ff9606e8e&scene=21#wechat_redirect)\n- [数据可视化的利器-Seaborn 简易入门](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484376&idx=1&sn=cd3ac06f4a0125eebb317578db3c4ec5&chksm=97048864a0730172f24c35e922573763213f2a2c0da4a6a8d2787d0f09315a3eac6e37634997&scene=21#wechat_redirect)\n\n## 七、NLP\n\n- [一些 NLP 的入门资料参考](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484419&idx=1&sn=3a21e26b420fcd52d17cf3e1a456ee10&chksm=97048fbfa07306a9f0454fa330155e16127f6020525986ccc0fcf182c089b08b9b503c888a95&scene=21#wechat_redirect)\n- [推荐：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484317&idx=1&sn=83e5d0bc7258c49c2427be4afa6cb588&chksm=97048821a0730137fc9df879f8e0d0ae9cbd88160d40750aaa4b3e5c7accd85e328e7c53c451&scene=21#wechat_redirect)[常见 NLP 模型的代码实现（基于 TensorFlow 和 PyTorch）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484317&idx=1&sn=83e5d0bc7258c49c2427be4afa6cb588&chksm=97048821a0730137fc9df879f8e0d0ae9cbd88160d40750aaa4b3e5c7accd85e328e7c53c451&scene=21#wechat_redirect)\n- [图解 word2vec（原文翻译）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484301&idx=1&sn=ef50f185d8c41be4f54e141a9b4d0923&chksm=97048831a073012770f6b7bab14c3ff61e4215f24b38b9e98b701384ac798f2b6fee964816e6&scene=21#wechat_redirect)\n\n## 八、学术技巧\n\n- [推荐几个提高工作效率的神器](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484301&idx=1&sn=ef50f185d8c41be4f54e141a9b4d0923&chksm=97048831a073012770f6b7bab14c3ff61e4215f24b38b9e98b701384ac798f2b6fee964816e6&scene=21#wechat_redirect)\n- [科研工作者的神器--zotero 论文管理工具](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484429&idx=1&sn=5663338e5c76374512fa354d68b5a67d&chksm=97048fb1a07306a70bd1259038701cd7aeca49482a593646d1399166b87071b3ddc35ae4df4d&scene=21#wechat_redirect)\n- [分享：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484279&idx=1&sn=786aa47073fa3522f4cce1493fba9f11&chksm=970488cba07301dd977fef7b761843dc6b84d26a62daff79e1121433090538b42aa3de5cb0fb&scene=21#wechat_redirect)[我是怎么在 github 上找到优秀的仓库的？](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484279&idx=1&sn=786aa47073fa3522f4cce1493fba9f11&chksm=970488cba07301dd977fef7b761843dc6b84d26a62daff79e1121433090538b42aa3de5cb0fb&scene=21#wechat_redirect)\n\n## 总结\n\n本文总结了“**机器学习初学者**”公众号创立以来的精选**原创**文章，可以作为 AI 入门的宝典，让初学者少走弯路，强烈建议**收藏**本文！\n\n--------------------\n\n\n\n# 本站2018年的所有文章\n\n**机器学习资源**\n\n- 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[机器学习训练秘籍完整中文版下载（吴恩达老师新作）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483815&idx=1&sn=c220c09741e942b6d402f1090a2d72da&chksm=c0791cbef70e95a88745a8df9b3f2f0e2fe93591a21a3f4c331a920d74cdc6bf564ab33ff8df&scene=21#wechat_redirect)\n- [首发：深度学习入门宝典-《python深度学习》原文代码中文注释版及电子书](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483804&idx=1&sn=9e862f6d127d70c2619e362c499e15b1&chksm=c0791c85f70e9593cd6106679feaac4b1eace9f717b788f9fbbae05c1b198308c45342ea6992&scene=21#wechat_redirect)\n- [强烈推荐的TensorFlow、Pytorch和Keras的样例资源（深度学习初学者必须收藏）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483961&idx=1&sn=7fa7e3e8a1cd4abf3e3357b2f6448118&chksm=c0791f20f70e9636821676c4302a1113016e547632c8e3872bcf815b41de95a7a5b25f3c5f62&scene=21#wechat_redirect)\n- [机器学习小抄-（像背托福单词一样理解机器学习）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483707&idx=1&sn=2f28175ecea445129a5e62441aeebd37&chksm=c0791c22f70e95340f61a978147314dd02bf8ab1bd9c49f3b86f928e371dac0ead6eda64116a&scene=21#wechat_redirect)\n- [深度学习初学者的另一份小抄-《一天学懂深度学习（李宏毅）》（中文标注）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483860&idx=1&sn=514c1c053e31c4ced3bffe75e02f4b05&chksm=c0791ccdf70e95dba8c32d3b12836359159a2045019e8d5fb45ca578a9846f4601439b42bba3&scene=21#wechat_redirect)\n- [一些NLP的入门资料参考](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483752&idx=1&sn=779b10f781fd7699040d7fcd5889b998&chksm=c0791c71f70e9567c91c9459641bff333c490a3326e0549fbdc58131fcc9fa5245f8785a54d9&scene=21#wechat_redirect)\n- [革命性提升-宇宙最强的NLP预训练BERT模型（附官方代码）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483930&idx=1&sn=31db561b207aed2b488ddb719ec7513f&chksm=c0791f03f70e9615586cf6be32352d0096da71563e87b20e3b115b206c1804d37bd3703fa5fe&scene=21#wechat_redirect)\n- [50个最佳机器学习公共数据集](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483877&idx=1&sn=ca49142a7bded5c01ce39e25a004b5bd&chksm=c0791cfcf70e95eab42f6565f487c854c803cb072e225e9a30ebf25910ccef7b61ac794990b3&scene=21#wechat_redirect) \n\n**机器学习大师之作**\n\n- [首发：徐亦达老师的机器学习课件及下载（中文目录）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483886&idx=1&sn=e3a0c27f24446edb67b877d25007aec6&chksm=c0791cf7f70e95e1c601dc184bb681a7150c61fe5c4173e5abee72b1b3d9be71b5774b3d6a1a&scene=21#wechat_redirect)\n- [机器学习的宝典-华校专老师的笔记](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483789&idx=1&sn=c6cebaaede9d87fc2ea2b38532f89a7b&chksm=c0791c94f70e9582ff738a80d0138fbb7644dfa2e23f8ef83b9f09da92d4bc31f44773befbee&scene=21#wechat_redirect)\n\n**开源案例和方案**\n\n- [首发：台大林轩田《机器学习基石》系列课程教材的习题解答和实现](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483984&idx=1&sn=0fc0797e69ef856105bf747a43b4fa1e&chksm=c0791f49f70e965f218747c9ff986f3b702df2d5c4b7be80ab267ed9a4a55303c25fb001a83f&scene=21#wechat_redirect)\n- [CTR预估系列：DeepCTR 一个基于深度学习的CTR模型包](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483919&idx=1&sn=5fae97fbf1f94a8dec026f08abf0e9c5&chksm=c0791f16f70e9600a2bd47cade5117ad4a64088fca6fc45c51cd0ef6a41f7652650261f058d9&scene=21#wechat_redirect)\n- [开源-BDCI2018面向电信行业存量用户的智能套餐个性化匹配模型Top1解决方案和代码](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483956&idx=1&sn=5074fcdc8d63a6f2e9d89884d3f369ee&chksm=c0791f2df70e963bbde6058789f6d64c428c07c1f228b96b0056751d08e1b4cd5c6c752021e2&scene=21#wechat_redirect)\n- [开源-BDCI2018供应链需求预测模型第一名解决方案和代码](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483986&idx=1&sn=0c2c9e185c8a7afba37a212d2af947d5&chksm=c0791f4bf70e965da27dff285473d5b72dc9c58674da3261114a98c174f5fd480f85c4a7b3cc&scene=21#wechat_redirect)\n- [海洋大数据应用思考（附资料下载）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483767&idx=1&sn=004de7eff7b8c0621ec25a635bec4b17&chksm=c0791c6ef70e95784174194f028477e1ff9e67b74a1a44a5443c5a659750e0a1610969d6d420&scene=21#wechat_redirect)\n\n**机器学习论文**\n\n- [新论文推荐：Auto-Keras:自动搜索深度学习模型的网络架构和超参数](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483820&idx=1&sn=90fcd5fe6262e5a0e22212480e82ed9d&chksm=c0791cb5f70e95a372bc8bf0bfa382bed6a2dd1c0dab036ff4fae2668dccf660f62b2ec3fd07&scene=21#wechat_redirect)\n- [机器学习新论文推荐-（成对关系约束的非负矩阵分解）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483746&idx=1&sn=e26b8d4a573f87d28ddef4075d7cbe43&chksm=c0791c7bf70e956d8a3918f5441c85c4228f133b65ab57a1ca05a4a1050c760364e284eec89a&scene=21#wechat_redirect) \n\n**硬件和环境配置**\n\n- [Ubuntu 18.04深度学习环境配置（CUDA9.0+CUDNN7.4+TensorFlow1.8）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483901&idx=1&sn=f02bd7866ad172ef0c9669851dffde2a&chksm=c0791ce4f70e95f2343047e62d513c0106eedebc09cc25d1c45598ede21da8655a974c6a69c5&scene=21#wechat_redirect)\n- [深度学习主机环境配置: Win10+Nvidia GTX1080i+CUDA8.0+CUDDN6 ](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483665&idx=1&sn=331d52e5b52fd6eb2ba58c16a0fe3458&chksm=c0791c08f70e951e6c47254389112443e9d50ce919a7da25670a636756b090e500bf81580f1c&scene=21#wechat_redirect)\n\n**Python基础**\n\n- [学习python入门的个人建议及资料](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483690&idx=1&sn=701cc75092e7213b6a9b04b57b5e15f3&chksm=c0791c33f70e9525a1f48179802f17d50fc4deab5333cb8b142df20e15b6a117df353c168a45&scene=21#wechat_redirect)\n- [两天入门Python基础（附代码实现）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483926&idx=1&sn=c19ee22819f98022e01da9343ad4cb85&chksm=c0791f0ff70e9619fd5a02a7cea9ae75bda478eedfcf2accc8ed2853a09b325c331bebfeb8ec&scene=21#wechat_redirect)\n- [学完可以解决90%以上的数据分析问题-利用python进行数据分析第二版（代码和中文笔记）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247484020&idx=1&sn=c281956f8414f38c48cc8b358f9dcc26&chksm=c0791f6df70e967b33e4f828031dc3f070ca7b8ae855692245cb8f41480686122d56db4600a2&scene=21#wechat_redirect)\n- [python绘图工具基础-matplotlib学习之基本使用](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483988&idx=1&sn=0cb80ff3f91f1bf43b14c968ae709576&chksm=c0791f4df70e965b806993b0fe1ead8dc65fa23a010341d0b2f2c5792a66233975895fc43e9e&scene=21#wechat_redirect)\n- [适合初学者快速入门的Numpy实战全集](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247484006&idx=1&sn=1d0b49c0200e901915a99d29f0dadc79&chksm=c0791f7ff70e966929ed3a9b1358beb3b31a1106084f4332176476eafebf3a407fff2150d5b3&scene=21#wechat_redirect)\n- [python进阶之多进程 ](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247484014&idx=1&sn=25a415e5992f9f20c3e4e03dc1678b53&chksm=c0791f77f70e9661dd63cbf156de58fdc906e96f2a02dcef9bed7c35ab8754d9b255fab99aa1&scene=21#wechat_redirect)\n\n**科研入门**\n\n- [机器学习的数学基础](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483685&idx=1&sn=1cc418d56344a222a0b6c9a56bdc5026&chksm=c0791c3cf70e952ada01da3a790baa6325c2656a554566716ad96b83c7d1868770514aca8409&scene=21#wechat_redirect)\n- [吐血推荐收藏的学位论文排版教程（完整版）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483979&idx=1&sn=9accf54de60fa6fe8f01cbd22e4df1a8&chksm=c0791f52f70e9644157b1c7a2ac0e3a0ba3e785ce45ff84ca22dbab50f7f0e542d7e6eb24b4f&scene=21#wechat_redirect)\n- [科研工作者的神器-zotero论文管理工具](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483673&idx=1&sn=013a1171e4c44ce19ffe0ffb743b45a8&chksm=c0791c00f70e9516ca6835acdfefaf539d3e121890354c6aba45fb6802fa8709f3a41cb856a7&scene=21#wechat_redirect)\n- [如何做视频教程笔记](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483829&idx=1&sn=75e97f26a4c9112c8efa932f16a63c1a&chksm=c0791cacf70e95ba585cc7bc302107eb5e5a733a58fe927d7016b590e351300306e78513c60b&scene=21#wechat_redirect)\n- [给初学者推荐一个摆脱变量命名纠结的神器](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483992&idx=1&sn=06c1765f0eb06fd28888b3625c4ccff1&chksm=c0791f41f70e96576c11aa7c301096f5788931ccb4c6adf532d40e6a5de14ef3024f629f4824&scene=21#wechat_redirect)\n- [SQL语法如何入门？（附资料下载）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483760&idx=1&sn=60acdd5afac45fc6d17f5c714389079d&chksm=c0791c69f70e957fbf51c1d213b66817e05b9f5edf9ce128131b4697ceb122798d1bed7eed98&scene=21#wechat_redirect)\n\n**项目合作**\n\n- [公众号合作指南--与本站互相添加长期可转载账号](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483996&idx=1&sn=c0d7eb311071ef1eba98d89e274a35b6&chksm=c0791f45f70e96533089471e6732450739eaa3c07d07e90290652636778eea17e2eac2fa8916&scene=21#wechat_redirect)\n- [赠人玫瑰,手有余香-期待协作更新机器学习的公益项目 ](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483924&idx=1&sn=751c23682abc116ec4c2401e942f4d4d&chksm=c0791f0df70e961bb602b004e70b5c3f780ca56fce49490d6e53cfdbbc374ed1c21c73bcf1a2&scene=21#wechat_redirect)\n\n**过时文章**\n\n过时资料指的是新的文章已经涵盖了旧文章内容，不需要再看了。\n\n- [机器学习简易入门-附推荐学习资料](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483872&idx=1&sn=a8d462ba6bbe582fd35d6a1240c15f86&chksm=c0791cf9f70e95ef60751437a698b0bee4188405bc9bedebea34611a96f7207c10a9b7309bfa&scene=21#wechat_redirect)\n- [机器学习初学者公众号下载资源汇总（一）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483792&idx=1&sn=5fe8d315183102be6f4ad92695d0f475&chksm=c0791c89f70e959fcbeda0ad8290093c8edc70b4fcb310073131bab1d01506795204726b7f07&scene=21#wechat_redirect)\n- [深度学习者的入门福利-Keras深度学习笔记](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483914&idx=1&sn=cecee99473f6d7d33565389c6de4ed16&chksm=c0791f13f70e9605b69e84ee7e1a1a30ff3b4e78e19b71766831e4fa438d2422fed270b15685&scene=21#wechat_redirect)\n- [9月国内大数据赛事资讯-奖池1500万 ](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483701&idx=1&sn=96ac60cf968284a7ae75b733a52df8bd&chksm=c0791c2cf70e953a45690656f2bd68c25287b2ba0a0c31db4debde5a38808c68ad5d82403e81&scene=21#wechat_redirect)\n\n**杂谈**\n\n- [你不是一个人在战斗！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483699&idx=1&sn=1518fb758a87a89fdf4614952baf4069&chksm=c0791c2af70e953c0cb2289ccf672b1f2968273ce1b01b41a8a874853668681c0381e629db33&scene=21#wechat_redirect)\n- [与机器学习相关的数学家，你认识几个？](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483740&idx=1&sn=e5cc3739911f4feb4c9bffed09de209b&chksm=c0791c45f70e9553b2eb33459ecc116327018013a288e0de5b33c39052f2103390ea2697f2ce&scene=21#wechat_redirect)\n- [赚的钱需要有命来花-高薪的互联网从业人员更需要注意身体健康](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483824&idx=1&sn=36f5cdfe9b3830ccb1566d9a4877ffa7&chksm=c0791ca9f70e95bfa5f49d6e411935766a8c1b17a0d831a41f30115a30bbbde485eeb2cf0c95&scene=21#wechat_redirect)\n","# 机器学习初学者公众号\n\n![公众号](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Ffengdu78_machine_learning_beginner_readme_5ae54986e373.jpg)\n\n本仓库是“机器学习初学者”公众号发布的全部内容代码。\n\n机器学习QQ群：659697409（我们共有9个群，已加入其中一个群的用户无需再重复添加）\n\n## 本仓库的内容目录\n\n#### 2019年精选文章\n\n[2019](2019\u002F)\n\n#### AI基础\n\n[AI_beginner](AI_beginner\u002F)\n\n#### 深度学习内容\n\n- 1.[PyTorch60分钟入门（中文翻译）](PyTorch_beginner\u002F)（目录名：PyTorch_beginner）\n- 2.[Python深度学习原书代码中文翻译](deep-learning-with-python-notebooks\u002F)（目录名：deep-learning-with-python-notebooks）\n- 3.[强烈推荐的TensorFlow、Pytorch和Keras的样例资源](deep-learning-with-tensorflow-keras-pytorch\u002F)（目录名：deep-learning-with-tensorflow-keras-pytorch）\n\n#### Python基础\n\n- 1.[两天入门Python](python-start\u002F)(目录名：python-start)\n- 2.[适合初学者快速入门的Numpy实战全集](numpy\u002F)(目录名：numpy)\n- 3.[matplotlib学习之基本使用](matplotlib\u002F)(目录名：matplotlib)\n- 4.[Sklearn入门经典案例](pyparis-2018-sklearn\u002F)(目录名：pyparis-2018-sklearn)\n- 5.[两天学会pandas](pandas\u002F)(目录名：pandas)\n\n\n\n## 本站的其他开源仓库\n\n#### 本人整理\n\n- 1.[吴恩达老师的机器学习课程个人笔记](https:\u002F\u002Fgithub.com\u002Ffengdu78\u002FCoursera-ML-AndrewNg-Notes)\n\n- 2.[deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）](https:\u002F\u002Fgithub.com\u002Ffengdu78\u002Fdeeplearning_ai_books)\n\n- 3.[《统计学习方法的代码实现》](https:\u002F\u002Fgithub.com\u002Ffengdu78\u002Flihang-code)\n\n\n#### 大神之作\n\n- 1.[徐亦达老师的机器学习资料分享](https:\u002F\u002Fgithub.com\u002Froboticcam\u002Fmachine-learning-notes)\n- 2.[华校专老师的笔记分享](http:\u002F\u002Fwww.huaxiaozhuan.com\u002F)\n- 3.[LFD习题解答（林轩田机器学习课程内容）（作者秦臻）](https:\u002F\u002Fgithub.com\u002FDoraemonzzz\u002FLearning-from-data)\n\n\n\n> 以下为是公众号创立以来的精选原创文章，适合初学者入门 AI。本文建议用微信收藏用碎片时间学习。（黄海广）\n\n## 一、前言\n\nAI 初学者最大的问题就是：\n\n**资料太多！看不完！！不知道如何取舍！！**\n\n我把 公众号创办以来的原创文章进行整理，这些文章非常适合**本科、硕士以及刚接触机器学习的博士**阅读。\n\n学完这些文章后，你就能基本掌握机器学习的基础知识。\n\n在掌握了基础知识之后，遇到问题时，你可以通过网络搜索轻松解决，并且也清楚接下来应该学习哪些内容。\n\n本文建议您将这些文章收藏起来，利用碎片时间进行学习。\n\n#### 作者简介：\n\n[那些年做的学术公益-你不是一个人在战斗](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484487&idx=1&sn=1df61f5f1ae6838f2eef1f4a3c702733&chksm=97048ffba07307eb78d4f4ec0039a386a658404156b051af0cb715fafa8d2ae66cbe49343bf3&scene=21#wechat_redirect)\n\n## 二、学习路线\n\n- [首发：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484737&idx=1&sn=27c52b4bc4ca98d3ab817344b84226cc&chksm=97048efda07307eb78d4f4ec0039a386a658404156b051af0cb715fafa8d2ae66cbe49343bf3&scene=21#wechat_redirect)[适合初学者入门人工智能的路线及资料下载](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484737&idx=1&sn=27c52b4bc4ca98d3ab817344b84226cc&chksm=97048efda07307eb78d4f4ec0039a386a658404156b051af0cb715fafa8d2ae66cbe49343bf3&scene=21#wechat_redirect)\n\n这篇文章为初学者提供了入门的路线。内容涵盖了数学基础、Python入门、机器学习、深度学习、特征工程入门等知识点，并将代码整合到了 GitHub 仓库中：\n\nhttps:\u002F\u002Fgithub.com\u002Ffengdu78\u002FData-Science-Notes\n\n- [机器学习在线手册：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247486187&idx=1&sn=3c86ade48695ce102e93fa813c55f126&chksm=97048157a07308419d900bec1ff4699092c62c7ed331a334734a4225db0b2274a7b134153037&scene=21#wechat_redirect)[像背托福单词一样学机器学习](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247486187&idx=1&sn=3c86ade48695ce102e93fa813c55f126&chksm=97048157a07308419d900bec1ff4699092c62c7ed331a334734a4225db0b2274a7b134153037&scene=21#wechat_redirect)\n\n这篇文章将机器学习的核心内容浓缩成了一本手册，打开微信即可学习。它特别适合时间有限的朋友们，可以在通勤途中或闲暇时通过手机学习。建议收藏这篇文章，慢慢学习。\n\n## 三、基础知识\n\n- [带你少走弯路！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485787&idx=1&sn=d53e991935fc6def2919b2bed6111f8d&chksm=970482e7a0730bf17c9fc7f5a639a21331be477af74b039ec56c0a4eaf0220259733d9852684&scene=21#wechat_redirect)[！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485787&idx=1&sn=d53e991935fc6def2919b2bed6111f8d&chksm=970482e7a0730bf17c9fc7f5a639a21331be477af74b039ec56c0a4eaf0220259733d9852684&scene=21#wechat_redirect)[黄博整理的机器学习数学基础资料来帮你（可在线阅读）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485787&idx=1&sn=d53e991935fc6def2919b2bed6111f8d&chksm=970482e7a0730bf17c9fc7f5a639a21331be477af74b039ec56c0a4eaf0220259733d9852684&scene=21#wechat_redirect)\n\n以上文章不仅涵盖了数学基础，还整合了后续五篇文章的内容，读者可以在线阅读，也可以根据需要单独阅读。\n\n- [首发：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485293&idx=2&sn=2650e61d6268f667333e86cb52ab1df1&chksm=97048cd1a07305c73229a0b3daf887ac4960fcbd3f378bbc0b40b9b38203fca387b29218fcbd&scene=21#wechat_redirect)[吴恩达的 CS229 的数学基础（概率论），有人把它做成了在线翻译版本！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485293&idx=2&sn=2650e61d6268f667333e86cb52ab1df1&chksm=97048cd1a07305c73229a0b3daf887ac4960fcbd3f378bbc0b40b9b38203fca387b29218fcbd&scene=21#wechat_redirect)\n- [首发：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485221&idx=2&sn=105073d243e1d39e10c7ad3dd22043c8&chksm=97048c99a073058fd51d33990ed476ff34acbe22aa7f52cdcd396f2283b22312feafbffb0e5b&scene=21#wechat_redirect)[吴恩达的 CS229 的数学基础（线性代数），有人把它做成了在线翻译版本！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485221&idx=2&sn=105073d243e1d39e10c7ad3dd22043c8&chksm=97048c99a073058fd51d33990ed476ff34acbe22aa7f52cdcd396f2283b22312feafbffb0e5b&scene=21#wechat_redirect)\n- [在线阅读！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[机器学习数学精华：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[高等数学](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)\n- [在线阅读！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[机器学习数学精华：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)[线性代数](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=3&sn=7d785108792eb64126812de876245387&chksm=970482b7a0730ba1099dcc3e2b05342907c0057d3d61eb125aa99c8649f186a49cad9e8a4660&scene=21#wechat_redirect)\n- [在线阅读！！机器学习数学精华：概率论与数理统计](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485707&idx=5&sn=af7c82f85740eac5672080d936869639&chksm=970482b7a0730ba13b6c4be0a40a0dc6c98c500ff9ea29dca61bba592513236144148320636c&scene=21#wechat_redirect)\n\n## 四、机器学习\n\n原创作品共分为以下三个部分：\n\n- [吴恩达机器学习课程笔记及资源（GitHub 标星 12000+，提供百度云镜像）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484544&idx=1&sn=c5b92a7c4a2bdca10d92ff06dbb315c4&chksm=97048f3ca07302a000c2e961daa9c17585d8b5cb8e73229b5b0364a6fc680b242dd7b409bd23&scene=21#wechat_redirect)\n- [《统计学习方法》的 Python 代码实现（GitHub 标星 7200+）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484580&idx=1&sn=7cf0ca2e05fc1ed71dff380bf1f60ff6&chksm=97048f18a07302a000c2e961daa9c17585d8b5cb8e73229b5b0364a6fc680b242dd7b409bd23&scene=21#wechat_redirect)\n- [推荐：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484360&idx=1&sn=d1859797428994bdb2b265aa4ddb98b9&chksm=97048874a07302a000c2e961daa9c17585d8b5cb8e73229b5b0364a6fc680b242dd7b409bd23&scene=21#wechat_redirect)[《机器学习实战：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484360&idx=1&sn=d1859797428994bdb2b265aa4ddb98b9&chksm=97048874a07302a000c2e961daa9c17585d8b5cb8e73229b5b0364a6fc680b242dd7b409bd23&scene=21#wechat_redirect)[基于 Scikit-Learn 和 TensorFlow》中文翻译和代码下载](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484360&idx=1&sn=d1859797428994bdb2b265aa4ddb98b9&chksm=97048874a07302a000c2e961daa9c17585d8b5cb8e73229b5b0364a6fc680b242dd7b409bd23&scene=21#wechat_redirect)\n\n后来又制作成了在线阅读版本：\n\n- [带你少走弯路：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485997&idx=1&sn=975216fdafe7e09bc515c944aaf7a26a&chksm=97048191a073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)[五篇文章学完吴恩达机器学习](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247485997&idx=1&sn=975216fdafe7e09bc515c944aaf7a26a&chksm=97048191a073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)\n- [经典复现：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247486130&idx=2&sn=401a94b7db6e0e531ab3a745d3a1e3ed&chksm=9704810ea073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)[《统计学习方法》的代码实现（在线阅读！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247486130&idx=2&sn=401a94b7db6e0e531ab3a745d3a1e3ed&chksm=9704810ea073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)[）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247486130&idx=2&sn=401a94b7db6e0e531ab3a745d3a1e3ed&chksm=9704810ea073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)\n\n#### 机器学习相关\n\n- [机器学习练习数据从哪里找？](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484828&idx=1&sn=fbd9a75c363580e85d7000fd02ad56af&chksm=97048e20a073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)[两行代码搞定！](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484828&idx=1&sn=fbd9a75c363580e85d7000fd02ad56af&chksm=97048e20a073081866aa98753412945734be9e217b8488c26bd0a66d54fbedf9c84f8c07873a&scene=21#wechat_redirect)\n- [学完可以解决 90%以上的数据分析问题——利用 Python 进行数据分析第二版（代码与中文笔记）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484383&idx=1&sn=de695ff5e6a3e36a1c54a4a498e36a95&chksm=97048863a07301759227c74c174f6596c9da6fbf40b2fa276f87b1e845c808cacd70b51c7f6a&scene=21#wechat_redirect)\n- [特征工程的宝典——《Feature Engineering for Machine Learning》翻译与代码实现](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484297&idx=1&sn=c862ea44abc4f90c52c5d1e9609bd9d7&chksm=97048835a07301239f1bcfcb1ef0eb66058dcb6cce2acfc8f04bbee6660f20d846fbca79a0f0&scene=21#wechat_redirect)\n\n## 五、深度学习\n\n#### 吴恩达深度学习课程笔记与资源\n\n- [吴恩达深度学习笔记及视频等资源（GitHub 标星 8500+，提供百度云镜像）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484558&idx=1&sn=d2033198fa6227a4cd561c70a93f2e2a&chksm=97048f32a07306245660808fe46569d8999491108a3d37eb833a27c8f597cd3a2c18852df014&scene=21#wechat_redirect)\n\n#### TensorFlow 入门：\n\n- [带你少走弯路：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484633&idx=1&sn=adf2dfee2bf09e6dab0a67d329bd0c50&chksm=97048f65a073067365daa419808913b50872a18ef9bb16a5011f90967eb89c335fb204c027d2&scene=21#wechat_redirect)[强烈推荐的 TensorFlow 快速入门资料与翻译（可下载）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484633&idx=1&sn=adf2dfee2bf09e6dab0a67d329bd0c50&chksm=97048f65a073067365daa419808913b50872a18ef9bb16a5011f90967eb89c335fb204c027d2&scene=21#wechat_redirect)\n\n#### Keras 入门：\n\n- [带你少走弯路：强烈推荐的 Keras 快速入门资料与翻译（可下载）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484794&idx=1&sn=9b52adc9138fda3d404dff24e03d14b5&chksm=97048ec6a07307d01ae2c93aa887d3c6ac6ec5f9d2ed5a5b8260182e3f47fae3ea9f08a1a0bf&scene=21#wechat_redirect)[强烈推荐的 Keras 快速入门资料与翻译（可下载）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484794&idx=1&sn=9b52adc9138fda3d404dff24e03d14b5&chksm=97048ec6a07307d01ae2c93aa887d3c6ac6ec5f9d2ed5a5b8260182e3f47fae3ea9f08a1a0bf&scene=21#wechat_redirect)\n\n#### PyTorch 入门：\n\n- [带你少走弯路：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484721&idx=2&sn=f2c6084354c912d91fbbb7f09adaf4ac&chksm=97048e8da073079b40d8a4cad5c016d762e1668ffd52f2d04bcb702e4530a9a275d73035ca9c&scene=21#wechat_redirect)[强烈推荐的 PyTorch 快速入门资料与翻译（可下载）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484721&idx=2&sn=f2c6084354c912d91fbbb7f09adaf4ac&chksm=97048e8da073079b40d8a4cad5c016d762e1668ffd52f2d04bcb702e4530a9a275d73035ca9c&scene=21#wechat_redirect)\n\n### 其他资料\n\n- [首发：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484411&idx=1&sn=0f95762a29249ea40b11edd24648c8d0&chksm=97048847a0730151f4bdd1d99ccf454206108fcf7f5b61b100f3dc39a7c46f926fc3da084c72&scene=21#wechat_redirect)[深度学习入门宝典——《Python 深度学习》原文代码中文注释版及电子书](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484411&idx=1&sn=0f95762a29249ea40b11edd24648c8d0&chksm=97048847a0730151f4bdd1d99ccf454206108fcf7f5b61b100f3dc39a7c46f926fc3da084c72&scene=21#wechat_redirect)\n- [强烈推荐的 TensorFlow、PyTorch 和 Keras 的样例资源（深度学习初学者必须收藏）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484393&idx=1&sn=c22c28eb324e052bdb5a399915c0b1c4&chksm=97048855a073014366257382f64e44b7ef6dcc59a0c3991abe0bb4128c0e471e28cf328ae9e4&scene=21#wechat_redirect)\n- [Ubuntu 18.04 深度学习环境配置（CUDA9.0+CUDDN7.4+TensorFolw1.8）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484401&idx=1&sn=73e97612c8a8c6cbb65461f999c024ff&chksm=9704884da073015bfc9e3ee0d5c9765f9a48bee1091da319d024de63bc2d202c9a53ca6057b7&scene=21#wechat_redirect)\n\n## 六、Python 相关\n\n- [学习 Python 入门的个人建议及资料](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484426&idx=1&sn=c1971be3d85a8c247a5c77bfd925733d&chksm=97048fb6a0730a0ad6f51f1aa90225c685e46ad5adddf929a110cdd46ed9105ff1c1b1a90e9&scene=21#wechat_redirect)\n- [Python 环境的安装（Anaconda+Jupyter notebook+Pycharm）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484364&idx=1&sn=2d7cf6b8d8a4647a32459cb3798f3d76&chksm=97048870a0730166a7c2e9be889cb926b98585947d123500d958f2afe5afbfd21a5718684896&scene=21#wechat_redirect)\n- [Python 代码写得丑怎么办？](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484361&idx=1&sn=086b8b9cbed37fd1932b6a8e6e517e2d&chksm=97048875a07301633726942278aac93d005fc673dcf740b8f6d6c75c544d0254828dc7e60b58&scene=21#wechat_redirect)[推荐几个神器拯救你](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484361&idx=1&sn=086b8b9cbed37fd1932b6a8e6e517e2d&chksm=97048875a07301633726942278aac93d005fc673dcf740b8f6d6c75c544d0254828dc7e60b58&scene=21#wechat_redirect)\n- [Numpy 练习题 100 题-提高你的数据分析技能](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484368&idx=1&sn=9ec8ab2ab1f368b877799c90d0cdc671&chksm=9704886ca073017a452532d35129f4923b895c09e43e9e9debaa8261d895540462ab5dbda239&scene=21#wechat_redirect)\n- [Pandas 练习题-提高你的数据分析技能](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484373&idx=1&sn=e48f845dccdec3c912e6cd16c7e363a8&chksm=97048869a073017fd8d4dd571807dd220940c7c9d729cf9c45fb66bab37ae0bc741272e79135&scene=21#wechat_redirect)\n- [python 绘图工具基础-matplotlib 学习之基本使用](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484389&idx=1&sn=7ab4f99f76b02a5198740c2b5fde91dc&chksm=97048859a073014f9fda1dc00eef5b47b78c15def4478463bc4bba773790474b225ff9606e8e&scene=21#wechat_redirect)\n- [数据可视化的利器-Seaborn 简易入门](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484376&idx=1&sn=cd3ac06f4a0125eebb317578db3c4ec5&chksm=97048864a0730172f24c35e922573763213f2a2c0da4a6a8d2787d0f09315a3eac6e37634997&scene=21#wechat_redirect)\n\n## 七、NLP\n\n- [一些 NLP 的入门资料参考](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484419&idx=1&sn=3a21e26b420fcd52d17cf3e1a456ee10&chksm=97048fbfa07306a9f0454fa330155e16127f6020525986ccc0fcf182c089b08b503c888a95&scene=21#wechat_redirect)\n- [推荐：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484317&idx=1&sn=83e5d0bc7258c49c2427be4afa6cb588&chksm=97048821a0730137fc9df879f8e0d0ae9cbd88160d40750aaa4b3e5c7accd85e328e7c53c451&scene=21#wechat_redirect)[常见 NLP 模型的代码实现（基于 TensorFlow 和 PyTorch）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484317&idx=1&sn=83e5d0bc7258c49c2427be4afa6cb588&chksm=97048821a0730137fc9df879f8e0d0ae9cbd88160d40750aaa4b3e5c7accd85e328e7c53c451&scene=21#wechat_redirect)\n- [图解 word2vec（原文翻译）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484301&idx=1&sn=ef50f185d8c41be4f54e141a9b4d0923&chksm=97048831a073012770f6b7bab14c3ff61e4215f24b38b9e98b701384ac798f2b6fee964816e6&scene=21#wechat_redirect)\n\n## 八、学术技巧\n\n- [推荐几个提高工作效率的神器](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484301&idx=1&sn=ef50f185d8c41be4f54e141a9b4d0923&chksm=97048831a073012770f6b7bab14c3ff61e4215f24b38b9e98b701384ac798f2b6fee964816e6&scene=21#wechat_redirect)\n- [科研工作者的神器--zotero 论文管理工具](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484429&idx=1&sn=5663338e5c76374512fa354d68b5a67d&chksm=97048fb1a07306a70bd1259038701cd7aeca49482a593646d1399166b87071b3ddc35ae4df4d&scene=21#wechat_redirect)\n- [分享：](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484279&idx=1&sn=786aa47073fa3522f4cce1493fba9f11&chksm=970488cba07301dd977fef7b761843dc6b84d26a62daff79e1121433090538b42aa3de5cb0fb&scene=21#wechat_redirect)[我是怎么在 github 上找到优秀的仓库的？](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzIwODI2NDkxNQ==&mid=2247484279&idx=1&sn=786aa47073fa3522f4cce1493fba9f11&chksm=970488cba07301dd977fef7b761843dc6b84d26a62daff79e1121433090538b42aa3de5cb0fb&scene=21#wechat_redirect)\n\n## 总结\n\n本文总结了“**机器学习初学者**”公众号创立以来的精选**原创**文章，可以作为 AI 入门的宝典，让初学者少走弯路，强烈建议**收藏**本文！\n\n--------------------\n\n\n\n# 本站2018年的所有文章\n\n**机器学习资源**\n\n- [良心推荐：机器学习入门资料汇总及学习建议（2018版）](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247484000&idx=1&sn=92f198b840073e79e1a267d15a48a279&chksm=c0791f2df70e965da27dff285473d5b72dc9c58674da3261114a98c174f5fd480f85c4a7b3cc&scene=21#wechat_redirect)\n- 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[公众号合作指南——与本站互相添加长期可转载账号](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483996&idx=1&sn=c0d7eb311071ef1eba98d89e274a35b6&chksm=c0791f45f70e96533089471e6732450739eaa3c07d07e90290652636778eea17e2eac2fa8916&scene=21#wechat_redirect)\n- [赠人玫瑰，手有余香——期待协作更新机器学习的公益项目 ](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483924&idx=1&sn=751c23682abc116ec4c2401e942f4d4d&chksm=c0791f0df70e961bb602b004e70b5c3f780ca56fce49490d6e53cfdbbc374ed1c21c73bcf1a2&scene=21#wechat_redirect)\n\n**过时文章**\n\n过时资料指的是新的文章已经涵盖了旧文章内容，不需要再看了。\n\n- [机器学习简易入门——附推荐学习资料](http:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg5NzAxMDgwNg==&mid=2247483872&idx=1&sn=a8d462ba6bbe582fd35d6a1240c15f86&chksm=c0791cf9f70e95ef60751437a698b0bee4188405bc9bedebea34611a96f7207c10a9b7309bfa&scene=21#wechat_redirect)\n- 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版本**：建议 Python 3.6 及以上（部分旧教程可能兼容 2.7，但推荐统一使用 3.x）\n\n### 前置依赖\n根据你要学习的具体模块，需安装相应的 Python 库。核心依赖包括：\n- `numpy`, `pandas`, `matplotlib` (数据基础)\n- `scikit-learn` (机器学习)\n- `torch` 或 `tensorflow` \u002F `keras` (深度学习)\n\n**国内加速方案**：\n推荐使用清华源或阿里源安装依赖，以提升下载速度：\n```bash\npip install -i https:\u002F\u002Fpypi.tuna.tsinghua.edu.cn\u002Fsimple numpy pandas matplotlib scikit-learn\n```\n\n## 安装步骤\n\n1. **克隆仓库**\n   使用 Git 将代码下载到本地：\n   ```bash\n   git clone https:\u002F\u002Fgithub.com\u002Ffengdu78\u002Fmachine_learning_beginner.git\n   cd machine_learning_beginner\n   ```\n\n2. **安装特定模块依赖**\n   进入你感兴趣的子目录（例如 PyTorch 入门），安装该目录下的具体要求（如有 `requirements.txt`）：\n   ```bash\n   # 示例：进入 PyTorch 入门目录\n   cd PyTorch_beginner\n   \n   # 安装 PyTorch (官方推荐命令，国内用户可使用清华源)\n   pip install torch torchvision torchaudio --index-url https:\u002F\u002Fdownload.pytorch.org\u002Fwhl\u002Fcu118\n   # 或者仅安装 CPU 版本\n   # pip install torch torchvision torchaudio --index-url https:\u002F\u002Fdownload.pytorch.org\u002Fwhl\u002Fcpu\n   ```\n\n   *注：若无 `requirements.txt`，请参考上方“环境准备”中的通用依赖安装命令。*\n\n## 基本使用\n\n本仓库主要由 Jupyter Notebook (`.ipynb`) 和 Python 脚本 (`.py`) 组成，按章节组织。\n\n### 1. 启动学习\n以\"Python 两天入门”为例，进入对应目录并启动 Jupyter Notebook：\n\n```bash\ncd python-start\njupyter notebook\n```\n浏览器会自动打开，点击对应的 `.ipynb` 文件（如 `01-Python 基础.ipynb`）即可开始交互式学习。\n\n### 2. 运行深度学习示例\n以 PyTorch 60 分钟入门为例：\n\n```bash\ncd PyTorch_beginner\njupyter notebook\n```\n打开 `1_what_is_deep_learning.ipynb` 或其他章节文件，逐个单元格（Cell）运行代码，观察输出结果和模型训练过程。\n\n### 3. 查阅在线阅读版\n如果不想配置本地环境，仓库 README 中提供了大量文章的**微信在线阅读链接**和**Github 笔记链接**（如吴恩达课程笔记、统计学习方法代码实现等），可直接在浏览器或手机端碎片化学习。\n\n> **提示**：建议按照仓库目录结构中的“学习路线”顺序（AI 基础 -> Python 基础 -> 机器学习 -> 深度学习）循序渐进。","计算机专业大三学生李明计划自学机器学习以完成毕业设计，面对海量且零散的网络教程感到无从下手。\n\n### 没有 machine_learning_beginner 时\n- **资源筛选困难**：网上资料良莠不齐，花费数周时间寻找教程，却陷入“收藏从未停止，学习从未开始”的困境，无法判断哪些内容适合初学者。\n- **知识体系断裂**：数学基础、Python 编程与算法理论分散在不同平台，缺乏系统性的学习路线，导致知识点碎片化，难以构建完整的逻辑框架。\n- **代码复现受阻**：找到理论文章后，往往缺少对应的可运行代码或中文注释，在配置环境和调试报错上消耗了大量精力，严重打击学习信心。\n- **进阶路径迷茫**：入门后不知道下一步该学深度学习还是特征工程，缺乏权威的课程笔记（如吴恩达课程）指引，容易在初级阶段原地打转。\n\n### 使用 machine_learning_beginner 后\n- **精选内容直达**：直接获取公众号整理好的 2019 精选文章及 AI 基础目录，省去了筛选成本，第一天即可按照既定路线开始高效学习。\n- **系统化学习闭环**：依托仓库中从\"两天入门 Python\"到\"Sklearn 经典案例”的完整链条，循序渐进地打通了从数学基础到实战应用的知识脉络。\n- **代码即学即用**：利用仓库提供的 PyTorch 60 分钟入门中文版及《Python 深度学习》原书代码翻译，快速跑通 Demo，将理论瞬间转化为可视化的实验结果。\n- **明确进阶方向**：通过查阅吴恩达机器学习笔记及统计学习方法代码实现，清晰掌握了从入门到精通的后续路径，能够自信地规划毕业设计方案。\n\nmachine_learning_beginner 通过整合优质开源资源与系统化学习路线，将初学者从信息过载的焦虑中解放出来，实现了从“盲目搜索”到“精准实战”的高效转变。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Ffengdu78_machine_learning_beginner_f86a6267.png","fengdu78","Huang Haiguang","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002Ffengdu78_2888b480.jpg","黄海广，计算机博士，微信公众号：机器学习初学者；知乎：黄海广；知识星球ID:92416895",null,"Qingdao,China","haiguang2000@qq.com","http:\u002F\u002Fwww.ai-start.com","https:\u002F\u002Fgithub.com\u002Ffengdu78",[87,91,95],{"name":88,"color":89,"percentage":90},"Jupyter Notebook","#DA5B0B",99.6,{"name":92,"color":93,"percentage":94},"Python","#3572A5",0.4,{"name":96,"color":97,"percentage":98},"Shell","#89e051",0,2328,916,"2026-04-03T02:42:22","未说明",{"notes":104,"python":102,"dependencies":105},"本仓库为机器学习与深度学习的学习资料合集，包含吴恩达课程笔记、《统计学习方法》代码实现、《Python 深度学习》代码翻译等。内容涵盖 Python 基础、数学基础、机器学习及深度学习框架（PyTorch, TensorFlow, Keras）入门。由于是教程集合，具体运行环境需参考各子目录（如 PyTorch_beginner, deep-learning-with-python-notebooks 等）内的具体要求。建议初学者按文中提供的学习路线，利用碎片时间通过微信文章或 GitHub 代码进行学习。",[106,107,108,109,110,111,112],"PyTorch","TensorFlow","Keras","Numpy","Matplotlib","Scikit-learn (Sklearn)","Pandas",[18],"2026-03-27T02:49:30.150509","2026-04-06T08:09:10.200667",[],[]]