布客·ApacheCN 编程/后端/大数据/人工智能学习资源 2020.7

怼烎@ 2023-02-21 01:52 12阅读 0赞

## **公告** ##

1.  我们的群共享文件有备份到 IPFS 的计划，具体时间待定。
2.  我们的机器学习群（915394271）正式改名为财务提升群，望悉知。
3.  请关注我们的公众号“ApacheCN”，回复“教程/路线/比赛/报告/技术书/课程/轻小说/漫画/新知”来获取更多资源。
4.  我们正在招募项目负责人，完成三次贡献可以申请，请联系片刻（529815144）。[几十个项目等你来申请和参与][Link 1]，不装逼的朋友，我们都不想认识。
5.  [CDNDrive][] 第二次扩容完毕，新增了 3 个图床。
6.  “开源互助联盟”已终止，我们对此表示抱歉和遗憾。除非特地邀请，我们不再推广他人的任何项目。
7.  我们接受“环材化生劝退”话题的投稿，并在全平台推送。请联系飞龙（562826179），或[在这里留言][Link 2]。

## **编程语言** ##

1.  Java
    
    1.  [On Java 8 中文版（Java 编程思想第五版）⭐↗][On Java 8 _Java]
    2.  [Effective Java 中文第三版⭐↗][Effective Java]
    3.  [Java 编程思想][Java]
    4.  [Java 8 简明教程][Java 8]
    5.  [Java 从 0~1 个人笔记][Java _ 0_1]
    6.  [Java8 中文官方教程][Java8]
    7.  [JavaTutorialNetwork 中文系列教程][JavaTutorialNetwork]
    8.  [HowToDoInJava 中文系列教程][HowToDoInJava]
    9.  [JavaBeginnersTutorial 中文系列教程][JavaBeginnersTutorial]
2.  Python
    
    1.  [Think Python 中文第二版↗][Think Python]
    2.  [笨办法学 Python · 续 中文版][Python _ _]
    3.  [PythonSpot 中文系列教程][PythonSpot]
    4.  [PythonBasics 中文系列教程][PythonBasics]
    5.  [PythonGuru 中文系列教程][PythonGuru]
    6.  [Python 分布式计算↗][Python]
3.  JavaScript
    
    1.  [JavaScript 编程精解 中文第三版][JavaScript _]
    2.  [写给不耐烦程序员的 JavaScript][JavaScript]
4.  C
    
    1.  [笨办法学 C 中文版][C]
5.  PHP
    
    1.  [手把手教你写 PHP 协程扩展][PHP]
6.  Ruby
    
    1.  [我爱 Ruby][Ruby]
7.  综合
    
    1.  [TutorialsPoint 中文系列教程][TutorialsPoint]
    2.  [BeginnersBook 中文系列教程][BeginnersBook]
    3.  [ZetCode 中文系列教程][ZetCode]
    4.  [Succinctly 中文系列教程][Succinctly]
    5.  [Programiz 中文系列教程][Programiz]

## **后端/大数据** ##

1.  [Spark 2.2.0 中文文档][Spark 2.2.0]
2.  [Storm 1.1.0 中文文档][Storm 1.1.0]
3.  [Kafka 1.0.0 中文文档][Kafka 1.0.0]
4.  [Beam 中文文档][Beam]
5.  [Zeppelin 0.7.2 中文文档][Zeppelin 0.7.2]
6.  [Elasticsearch 5.4 中文文档][Elasticsearch 5.4]
7.  [Kibana 5.2 中文文档][Kibana 5.2]
8.  [Kudu 1.4.0 中文文档][Kudu 1.4.0]
9.  [Spring Boot 1.5.2 中文文档][Spring Boot 1.5.2]
10. [Airflow 0.10.2 中文文档][Airflow 0.10.2]
11. [HBase 3.0 中文参考指南][HBase 3.0]
12. [Flink 1.7 中文文档][Flink 1.7]
13. [Django 1.8 中文文档][Django 1.8]
14. [Hudi 0.5 中文文档][Hudi 0.5]
15. [HighScalability 中文示例][HighScalability]

## **工具** ##

1.  Numpy 技术栈中文文档
    
    1.  [Numba 0.44 中文文档⭐][Numba 0.44]
    2.  [Cython 3.0 中文文档⭐][Cython 3.0]
2.  [Scapy 中文文档][Scapy]
3.  [笨办法学 Linux 中文版][Linux]
4.  [Git 中文参考][Git]
5.  [Scrapy 1.6 中文文档][Scrapy 1.6]
6.  [PyQt4 中文文档][PyQt4]
7.  [命令行的艺术][Link 3]
8.  [rpy2 2.8 中文文档][rpy2 2.8]
9.  [Learning Scrapy 中文版↗][Learning Scrapy]

## **区块链** ##

1.  [Solidity 中文文档][Solidity]

## **数学笔记** ##

1.  MIT 公开课课本/笔记
    
    1.  [MIT 18.06 线性代数笔记↗][MIT 18.06]
    2.  [MIT 18.03 写给初学者的微积分][MIT 18.03]

## **数据科学文档** ##

1.  Numpy 技术栈中文文档
    
    1.  [NumPy 1.11 中文文档⭐][NumPy 1.11]
    2.  [Pandas 0.19.2 中文文档⭐][Pandas 0.19.2]
    3.  [Matplotlib 2.0 中文文档⭐][Matplotlib 2.0]
    4.  [statsmodels 中文文档⭐][statsmodels]
    5.  [seaborn 0.9 中文文档⭐][seaborn 0.9]
2.  [SimuPy 中文文档↗][SimuPy]

## **数据科学教程** ##

1.  斯坦福公开课课本/笔记
    
    1.  [斯坦福 STATS60 课本：21 世纪的统计思维⭐][STATS60 _21]
    2.  [斯坦福博弈论中文笔记⭐][Link 4]
2.  UCB 公开课课本/笔记
    
    1.  [UCB Data8 课本：计算与推断思维⭐][UCB Data8]
    2.  [UCB Prob140 课本：面向数据科学的概率论⭐][UCB Prob140]
    3.  [UCB DS100 课本：数据科学的原理与技巧⭐][UCB DS100]
3.  [ApacheCN 数据分析译文集⭐][ApacheCN]
4.  [TutorialsPoint NumPy 教程][TutorialsPoint NumPy]
5.  [复杂性思维 中文第二版][Link 5]
6.  [利用 Python 进行数据分析 · 第 2 版][Python _ _ _ 2]
7.  [fast.ai 数值线性代数讲义 v2][fast.ai _ v2]
8.  [Pandas Cookbook 带注释源码][Pandas Cookbook]
9.  [数据科学 IPython 笔记本][IPython]
10. [UCSD COGS108 数据科学实战中文笔记][UCSD COGS108]
11. [USF MSDS501 计算数据科学中文讲义][USF MSDS501]
12. [数据可视化的基础知识][Link 6]
13. [Joyful Pandas↗][Joyful Pandas]

## **CS 教程** ##

1.  [计算机公开课推荐⭐][Link 7]
2.  [LeetCode，HackRank，剑指 offer，经典算法实现（已停更）][LeetCode_HackRank_ offer]
3.  [GeeksForGeeks 翻译计划][GeeksForGeeks]
4.  UCB 公开课课本/笔记
    
    1.  [UCB CS61a 课本：SICP Python 描述⭐][UCB CS61a _SICP Python]
    2.  [UCB CS61b 课本：Java 中的数据结构⭐][UCB CS61b _Java]
5.  [UIUC CS241 系统编程中文讲义][UIUC CS241]
6.  [数据结构思维][Link 8]
7.  [操作系统思维][Link 9]
8.  [中国大学 MOOC 计算机操作系统笔记][MOOC]
9.  [简单数据结构实现][Link 10]
10. [司镜的数据结构课程（持续更新）][Link 11]
11. [从零编写简单的数据库][Link 12]

## **AI 教程** ##

1.  AILearning - 机器学习实战⭐
    
    1.  [文字教程][Link 13]
    2.  [教学版视频][Link 14]
    3.  [讨论版视频][Link 15]
2.  [AI 路线图（知识树）⭐][AI]
3.  [Sklearn 与 TensorFlow 机器学习实用指南第二版⭐↗][Sklearn _ TensorFlow]
4.  [Machine Learning Mastery 博客文章翻译⭐][Machine Learning Mastery]
5.  斯坦福公开课课本/笔记
    
    1.  [斯坦福 CS229 机器学习中文笔记⭐↗][CS229]
    2.  [DeepLearning.ai 深度学习中文笔记⭐↗][DeepLearning.ai]
    3.  [斯坦福 CS224n 自然语言处理中文笔记⭐][CS224n]
    4.  [斯坦福 CS234 强化学习中文笔记⭐][CS234]
6.  UCB 公开课课本/笔记
    
    1.  [UCB CS294-112 深度强化学习中文笔记⭐↗][UCB CS294-112]
7.  [台湾大学林轩田机器学习笔记↗][Link 16]
8.  [Python 自然语言处理 中文第二版][Python _]
9.  [Scikit-learn 秘籍][Scikit-learn]
10. [PythonProgramming.net 教程翻译][PythonProgramming.net]
11. [写给人类的机器学习][Link 17]
12. [面向机器学习的特征工程][Link 18]
13. [Python 数据分析与挖掘实战（带注释源码）][Python 1]
14. [与 TensorFlow 的初次接触][TensorFlow]
15. [TensorFlow Eager 教程][TensorFlow Eager]
16. [SciPyCon 2018 Sklearn 教程][SciPyCon 2018 Sklearn]
17. [TensorFlow 学习指南][TensorFlow 1]
18. [fast.ai 机器学习和深度学习中文笔记][fast.ai]
19. [HackCV 网站文章翻译][HackCV]
20. [数据科学和人工智能技术笔记][Link 19]
21. [Girls In AI：面向编程零基础女孩子的AI算法工程师养成计划⭐↗][Girls In AI_AI]
22. [Sklearn 学习指南][Sklearn]
23. [南瓜书（西瓜书公式推导解析）↗][Link 20]
24. [Daily Interview - 人工智能面经↗][Daily Interview -]
25. [百页机器学习小书][Link 21]
26. [Natural Language Processing with PyTorch 中文版][Natural Language Processing with PyTorch]
27. [李宏毅机器学习笔记↗][Link 22]
28. [推荐系统遇上深度学习↗][Link 23]
29. [可解释的机器学习][Link 24]
30. [Python 机器学习在线指南][Python 2]

## **AI 综述翻译计划** ##

1.  [图嵌入综述（Arxiv 1709.07604）][Arxiv 1709.07604]
2.  [基于深度学习的推荐系统：综述和新视角][Link 25]
3.  [关于卷积神经网络我们理解了什么][Link 26]
4.  [机器学习超级复习笔记][Link 27]

## **AI 文档** ##

1.  Numpy 技术栈中文文档
    
    1.  [Sklearn 0.19 中文文档⭐][Sklearn 0.19]
2.  [PyTorch 0.2/0.3/0.4/1.0 中文文档和教程⭐][PyTorch 0.2_0.3_0.4_1.0]
3.  [XGBoost 中文文档][XGBoost]
4.  [LightGBM 中文文档][LightGBM]
5.  [FastText 中文文档][FastText]
6.  [Gensim 中文文档][Gensim]
7.  [OpenCV 4.0 中文文档][OpenCV 4.0]

## **AI 比赛** ##

1.  [Interview：简历指南 + LeetCode + Kaggle⭐][Interview_ _ LeetCode _ Kaggle]
2.  [数据科学/人工智能比赛解决方案汇总][Link 28]
3.  [Kaggle 学习系列视频⭐][Kaggle]
4.  [数据科学比赛收集平台⭐↗][Link 29]

## **安全** ##

1.  [Kali Linux 秘籍 中文版][Kali Linux _]
2.  [Kali Linux Web 渗透测试秘籍 中文版][Kali Linux Web _]
3.  [Kali Linux 无线渗透测试入门指南 中文版][Kali Linux _ 1]
4.  [Kali Linux 网络扫描秘籍 中文版][Kali Linux _ 2]
5.  [Web Hacking 101 中文版][Web Hacking 101]
6.  [米斯特白帽培训讲义][Link 30]
7.  [安卓应用安全指南 中文版][Link 31]
8.  [渗透测试实战第三版（红队版）↗][Link 32]
9.  [生成软件测试][Link 33]
10. [CobaltStrike 4.0 中文用户手册↗][CobaltStrike 4.0]

## **其它** ##

1.  [ApacheCN 公众号历史文章][ApacheCN 1]
2.  [简历分享系列视频⭐][Link 34]
3.  [斯坦福 CS183 系列 / YC 创业课系列中文笔记⭐][CS183 _ _ YC]
4.  [独立开发/自由职业/远程工作资源列表][Link 35]
5.  [通往财富自由之路精细笔记][Link 36]
6.  [5 分钟商学院精细笔记][5]
7.  [English - World Travel][]
8.  [Gainlo 面试指南][Gainlo]
9.  [Evil Huawei - 华为作过的恶↗][Evil Huawei -]
10. [iBooker 布客老实人报⭐][iBooker]
11. [程序媛计划：儿童性教育项目↗][Link 37]
12. [环材化生劝退计划][Link 38]
13. [ZhangYi 的博客文章↗][ZhangYi]

## **关于我们** ##

> 我们是布客（iBooker），一个大型开源社区、自媒体和网赚社区，旗下 QQ 群共一万余人，订阅用户至少一万人。Github Star 数量超过 60k 个，在所有 Github 组织中[排名前 100][100]。旗下所有网站日 uip 超过 4k，[Alexa 排名的峰值为 20k][Alexa _ 20k]。我们的核心成员拥有[ CSDN 博客专家][CSDN]和[简书程序员优秀作者][Link 39]认证。我们建立了公益性文档和教程翻译项目 [ApacheCN][ApacheCN 2]。
> 
> 与商业组织不同，我们并不会追逐热点，或者唯利是图。作为公益组织，我们将完成项目放在首要位置，并有足够时间把项目打磨到极致。我们希望做出广大 AI 爱好者和个人开发者真正需要的东西，打造真正有价值的长尾作品。
> 
> 我们要感谢 [Datawhale][]、[AI 有道][AI 1]、[黄海广博士][Link 40]、[PythonChina][]、[苍海国际][Link 41]、[黑客派][Link 42]、[GirlsInAI][]、[DataSciComp][]、[SeanCheney][]、[AI 科技大本营][AI 2]、[BiliDrive][]、[FlyAI][]、[Tesra][] 的创意和支持。

*  【主页】[apachecn.org][]
 *  【导航】[docs.apachecn.org][]
 *  【Github】[@ApacheCN][ApacheCN 2]
 *  【Gitee】[@ApacheCN][ApacheCN 3]
 *  【邮件订阅】[notice.ibooker.org.cn][]
 *  【知识星球】[iBooker 布客][iBooker 1]
 *  自媒体平台
    
     *  [微博：@ApacheCN][ApacheCN 4]
     *  [知乎专栏：AILearning][AILearning]
     *  [公众号：ApacheCN][ApacheCN 5]
     *  [CSDN][CSDN 1] | [博客园][Link 43] | [OSChina][] | [SF][] | [掘金][Link 44]
     *  [简书][Link 45] | [搜狐号][Link 46] | [头条号][Link 47] | [bilibili][]
 *  **We are ApacheCN Open Source Organization, not ASF! We are fans of AI, and have no relationship with ASF!**
 *  合作 or 侵权，请联系 [apachecn@163.com][apachecn_163.com] | 请抄送一份到 [wizard.z@foxmail.com][wizard.z_foxmail.com]

## **赞助我们** ##

通过平台自带的打赏功能，或[点击这里][Link 48]。

[Link 1]: https://docs.apachecn.org/join
[CDNDrive]: https://github.com/apachecn/CDNDrive
[Link 2]: https://github.com/apachecn/awesome-article-recomm
[On Java 8 _Java]: https://github.com/LingCoder/OnJava8?utm_source=home
[Effective Java]: https://github.com/it-ebooks/effective-java-3rd-chinese?utm_source=home
[Java]: https://github.com/apachecn/thinking-in-java-zh?utm_source=home
[Java 8]: https://github.com/apachecn/modern-java-zh?utm_source=home
[Java _ 0_1]: https://javaee.strivebo.com?utm_source=home
[Java8]: https://github.com/apachecn/java8-tut-zh?utm_source=home
[JavaTutorialNetwork]: https://github.com/apachecn/jtn-zh?utm_source=home
[HowToDoInJava]: https://github.com/apachecn/howtodoinjava-zh?utm_source=home
[JavaBeginnersTutorial]: https://github.com/apachecn/jbt-zh?utm_source=home
[Think Python]: https://github.com/apachecn/think-py-2e-zh?utm_source=home
[Python _ _]: https://github.com/apachecn/lmpythw-zh?utm_source=home
[PythonSpot]: https://github.com/apachecn/pythonspot-zh?utm_source=home
[PythonBasics]: https://github.com/apachecn/pythonbasics-zh?utm_source=home
[PythonGuru]: https://github.com/apachecn/pythonguru-zh?utm_source=home
[Python]: https://www.jianshu.com/c/1bf7cf31175f
[JavaScript _]: https://github.com/apachecn/eloquent-js-3e-zh?utm_source=home
[JavaScript]: https://github.com/apachecn/impatient-js-zh?utm_source=home
[C]: https://github.com/apachecn/lcthw-zh?utm_source=home
[PHP]: https://github.com/apachecn/study?utm_source=home
[Ruby]: https://github.com/apachecn/iloveruby-zh
[TutorialsPoint]: https://github.com/apachecn/tutorialspoint-ebooks-zh?utm_source=home
[BeginnersBook]: https://github.com/apachecn/beginnersbook-zh?utm_source=home
[ZetCode]: https://github.com/apachecn/zetcode-zh?utm_source=home
[Succinctly]: https://github.com/apachecn/succinctly-zh?utm_source=home
[Programiz]: https://github.com/apachecn/programiz-zh?utm_source=home
[Spark 2.2.0]: https://github.com/apachecn/spark-doc-zh?utm_source=home
[Storm 1.1.0]: https://github.com/apachecn/storm-doc-zh?utm_source=home
[Kafka 1.0.0]: https://github.com/apachecn/kafka-doc-zh?utm_source=home
[Beam]: https://github.com/apachecn/beam-site-zh?utm_source=home
[Zeppelin 0.7.2]: https://github.com/apachecn/zeppelin-doc-zh?utm_source=home
[Elasticsearch 5.4]: https://github.com/apachecn/elasticsearch-doc-zh?utm_source=home
[Kibana 5.2]: https://github.com/apachecn/kibana-doc-zh?utm_source=home
[Kudu 1.4.0]: https://github.com/apachecn/kudu-doc-zh?utm_source=home
[Spring Boot 1.5.2]: https://github.com/apachecn/spring-boot-doc-zh?utm_source=home
[Airflow 0.10.2]: https://github.com/apachecn/airflow-doc-zh?utm_source=home
[HBase 3.0]: https://github.com/apachecn/hbase-doc-zh?utm_source=home
[Flink 1.7]: https://github.com/apachecn/flink-doc-zh?utm_source=home
[Django 1.8]: https://github.com/apachecn/django-doc-18-zh?utm_source=home
[Hudi 0.5]: https://github.com/apachecn/hudi-doc-zh?utm_source=home
[HighScalability]: https://github.com/apachecn/highscalability-examples-zh
[Numba 0.44]: https://github.com/apachecn/numba-doc-zh?utm_source=home
[Cython 3.0]: https://github.com/apachecn/cython-doc-zh?utm_source=home
[Scapy]: https://github.com/apachecn/scapy-docs-zh?utm_source=home
[Linux]: https://github.com/apachecn/llthw-zh?utm_source=home
[Git]: https://github.com/apachecn/git-doc-zh?utm_source=home
[Scrapy 1.6]: https://github.com/apachecn/scrapy-doc-zh?utm_source=home
[PyQt4]: https://github.com/apachecn/pyqt4-doc-zh?utm_source=home
[Link 3]: https://github.com/apachecn/the-art-of-command-line/blob/master/README-zh.md?utm_source=home
[rpy2 2.8]: https://github.com/apachecn/rpy2-doc-zh?utm_source=home
[Learning Scrapy]: https://www.jianshu.com/c/a3b6e459f76c
[Solidity]: https://github.com/apachecn/solidity-doc-zh?utm_source=home
[MIT 18.06]: https://github.com/apachecn/math?utm_source=home
[MIT 18.03]: https://github.com/apachecn/calc4b-zh?utm_source=home
[NumPy 1.11]: https://github.com/apachecn/numpy-ref-zh?utm_source=home
[Pandas 0.19.2]: https://github.com/apachecn/pandas-doc-zh?utm_source=home
[Matplotlib 2.0]: https://github.com/apachecn/matplotlib-user-guide-zh?utm_source=home
[statsmodels]: https://github.com/apachecn/statsmodels_doc_zh?utm_source=home
[seaborn 0.9]: https://github.com/apachecn/seaborn-doc-zh?utm_source=home
[SimuPy]: https://github.com/cycleuser/simupy-doc-cn?utm_source=home
[STATS60 _21]: https://github.com/apachecn/stats-thinking-21-zh?utm_source=home
[Link 4]: https://github.com/apachecn/stanford-game-theory-notes-zh?utm_source=home
[UCB Data8]: https://github.com/apachecn/data8-textbook-zh?utm_source=home
[UCB Prob140]: https://github.com/apachecn/prob140-textbook-zh?utm_source=home
[UCB DS100]: https://github.com/apachecn/ds100-textbook-zh?utm_source=home
[ApacheCN]: https://github.com/apachecn/apachecn-da-zh
[TutorialsPoint NumPy]: https://github.com/apachecn/misc-docs-zh/blob/master/docs/tutorialspoint-numpy.md?utm_source=home
[Link 5]: https://github.com/apachecn/think-comp-2e-zh?utm_source=home
[Python _ _ _ 2]: https://github.com/apachecn/pyda-2e-zh?utm_source=home
[fast.ai _ v2]: https://github.com/apachecn/fastai-num-linalg-v2-zh?utm_source=home
[Pandas Cookbook]: https://github.com/apachecn/pandas-cookbook-code-notes?utm_source=home
[IPython]: https://github.com/apachecn/ds-ipynb-zh?utm_source=home
[UCSD COGS108]: https://github.com/apachecn/ucsd-cogs108-notes?utm_source=home
[USF MSDS501]: https://github.com/apachecn/usf-msds501-notes-zh?utm_source=home
[Link 6]: https://github.com/apachecn/found-data-vis-zh?utm_source=home
[Joyful Pandas]: https://github.com/datawhalechina/joyful-pandas?utm_source=home
[Link 7]: https://github.com/apachecn/awesome-cs-courses-zh?utm_source=home
[LeetCode_HackRank_ offer]: https://github.com/apachecn/LeetCode?utm_source=home
[GeeksForGeeks]: https://github.com/apachecn/geeksforgeeks-zh?utm_source=home
[UCB CS61a _SICP Python]: https://github.com/apachecn/sicp-py-zh?utm_source=home
[UCB CS61b _Java]: https://github.com/apachecn/cs61b-textbook-zh?utm_source=home
[UIUC CS241]: https://github.com/apachecn/uiuc-cs241-notes-zh?utm_source=home
[Link 8]: https://github.com/apachecn/think-dast-zh?utm_source=home
[Link 9]: https://github.com/apachecn/think-os-zh?utm_source=home
[MOOC]: https://github.com/apachecn/Computer-operating-system-notes?utm_source=home
[Link 10]: https://github.com/apachecn/DataStructure?utm_source=home
[Link 11]: https://www.bilibili.com/video/av41164819?utm_source=home
[Link 12]: https://github.com/apachecn/misc-docs-zh/blob/master/docs/simple-db-zh?utm_source=home
[Link 13]: https://github.com/apachecn/AiLearning?utm_source=home
[Link 14]: https://space.bilibili.com/97678687/channel/detail?cid=22486&utm_source=home
[Link 15]: https://space.bilibili.com/97678687/channel/detail?cid=13045&utm_source=home
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[Sklearn _ TensorFlow]: https://www.jianshu.com/c/d2daceee15a2
[Machine Learning Mastery]: https://github.com/apachecn/ml-mastery-zh?utm_source=home
[CS229]: http://ai-start.com/ml2014/?utm_source=home
[DeepLearning.ai]: http://ai-start.com/dl2017/?utm_source=home
[CS224n]: https://github.com/apachecn/stanford-cs224n-notes-zh?utm_source=home
[CS234]: https://github.com/apachecn/stanford-cs234-notes-zh?utm_source=home
[UCB CS294-112]: https://github.com/apachecn/ucb-cs294-112-notes-zh?utm_source=home
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[Link 18]: https://github.com/apachecn/feature-engineering-for-ml-zh?utm_source=home
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[HackCV]: https://github.com/apachecn/HackCV-Translate?utm_source=home
[Link 19]: https://github.com/apachecn/ds-ai-tech-notes?utm_source=home
[Girls In AI_AI]: https://github.com/YZHANG1270/Girls-In-AI?utm_source=home
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[Link 20]: https://github.com/datawhalechina/pumpkin-book?utm_source=home
[Daily Interview -]: https://github.com/datawhalechina/Daily-interview?utm_source=home
[Link 21]: https://github.com/apachecn/ml-book-100-zh?utm_source=home
[Natural Language Processing with PyTorch]: https://github.com/apachecn/NLP-with-PyTorch?utm_source=home
[Link 22]: https://github.com/datawhalechina/Leeml-Book?utm_source=home
[Link 23]: https://www.jianshu.com/c/e12d7195a9ff?utm_source=home
[Link 24]: https://github.com/apachecn/interpretable-ml-book-zh?utm_source=home
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[Arxiv 1709.07604]: https://github.com/apachecn/misc-docs-zh/blob/master/docs/ge-survey-arxiv-1709-07604-zh?utm_source=home
[Link 25]: https://github.com/apachecn/misc-docs-zh/blob/master/docs/rs-survey-arxiv-1707-07435-zh?utm_source=home
[Link 26]: https://github.com/apachecn/misc-docs-zh/blob/master/docs/what-do-we-understand-about-convnet?utm_source=home
[Link 27]: https://github.com/apachecn/misc-docs-zh/blob/master/docs/super-machine-learning-revision-notes?utm_source=home
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[Interview_ _ LeetCode _ Kaggle]: https://github.com/apachecn/Interview?utm_source=home
[Link 28]: https://github.com/apachecn/awesome-data-comp-solution?utm_source=home
[Kaggle]: https://www.bilibili.com/video/av53119200?utm_source=home
[Link 29]: https://github.com/iphysresearch/DataSciComp?utm_source=home
[Kali Linux _]: https://github.com/apachecn/kali-linux-cookbook-zh?utm_source=home
[Kali Linux Web _]: https://github.com/apachecn/kali-linux-web-pentest-cookbook-zh?utm_source=home
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[Kali Linux _ 2]: https://github.com/apachecn/kali-linux-network-scanning-cookbook-zh?utm_source=home
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[Link 30]: https://github.com/apachecn/mst-sec-lecture-notes?utm_source=home
[Link 31]: https://github.com/apachecn/android-app-sec-guidebook-zh?utm_source=home
[Link 32]: https://github.com/Snowming04/The-Hacker-Playbook-3-Translation?utm_source=home
[Link 33]: https://github.com/apachecn/fuzzingbook-zh?utm_source=home
[CobaltStrike 4.0]: https://github.com/Snowming04/CobaltStrike4.0_related?utm_source=home
[ApacheCN 1]: https://github.com/apachecn/awesome-article-recomm?utm_source=home
[Link 34]: https://www.bilibili.com/video/av53122083?utm_source=home
[CS183 _ _ YC]: https://github.com/apachecn/stanford-cs183-notes?utm_source=home
[Link 35]: https://github.com/apachecn/awesome-indie-zh?utm_source=home
[Link 36]: https://github.com/apachecn/the-way-to-wealth-freedom-notes?utm_source=home
[5]: https://github.com/apachecn/5min-business-notes?utm_source=home
[English - World Travel]: https://github.com/apachecn/English?utm_source=home
[Gainlo]: https://github.com/apachecn/gainlo-interview-guide-zh?utm_source=home
[Evil Huawei -]: https://github.com/evil-huawei/evil-huawei?utm_source=home
[iBooker]: https://zhuanlan.zhihu.com/plain-dealer?utm_source=home
[Link 37]: https://www.cxy61.com/girl/child_sexual_education/index.html?utm_source=home
[Link 38]: https://home.apachecn.org/docs/%E7%8E%AF%E6%9D%90%E5%8C%96%E7%94%9F%E5%8A%9D%E9%80%80/?utm_source=home
[ZhangYi]: http://codewithzhangyi.com/blog/?utm_source=home
[100]: https://gitstar-ranking.com/apachecn
[Alexa _ 20k]: http://home.apachecn.org/img/about/alexa_201906.png
[CSDN]: https://blog.csdn.net/wizardforcel
[Link 39]: https://www.jianshu.com/u/b508a6aa98eb
[ApacheCN 2]: https://github.com/apachecn
[Datawhale]: http://home.apachecn.org/img/about/datawhale_qr.jpg
[AI 1]: http://home.apachecn.org/img/about/redstone_qr.jpg
[Link 40]: http://home.apachecn.org/img/about/huanghaiguang_qr.jpg
[PythonChina]: https://github.com/pycn
[Link 41]: https://www.258ch.com/
[Link 42]: https://hacpai.com/
[GirlsInAI]: https://www.weibo.com/u/2650740963
[DataSciComp]: https://iphysresearch.github.io/DataSciComp/
[SeanCheney]: https://www.jianshu.com/u/130f76596b02
[AI 2]: https://blog.csdn.net/dQCFKyQDXYm3F8rB0
[BiliDrive]: https://github.com/Hsury/BiliDrive
[FlyAI]: https://www.flyai.com/
[Tesra]: https://www.tesra.org/
[apachecn.org]: http://apachecn.org
[docs.apachecn.org]: https://docs.apachecn.org/
[ApacheCN 3]: https://gitee.com/apachecn
[notice.ibooker.org.cn]: http://notice.ibooker.org.cn/index
[iBooker 1]: https://t.zsxq.com/Jq3vZZB
[ApacheCN 4]: https://weibo.com/u/6326715527
[AILearning]: https://zhuanlan.zhihu.com/apachecn-mlia
[ApacheCN 5]: http://home.apachecn.org/img/about/apachecn_qr.jpg
[CSDN 1]: https://blog.csdn.net/wizardforcel/article/category/8437073
[Link 43]: https://www.cnblogs.com/apachecn
[OSChina]: https://my.oschina.net/u/1777350?tab=newest&catalogId=6512710
[SF]: https://segmentfault.com/blog/flygon
[Link 44]: https://juejin.im/user/57960af3128fe10056c637e4/posts
[Link 45]: https://www.jianshu.com/c/4ee721d0c474
[Link 46]: https://mp.sohu.com/profile?xpt=NDhjYmViMzMtZWE2Yi00NTlmLWE3OTQtY2FjNjIwNDBlZDJl
[Link 47]: https://www.toutiao.com/c/user/3901644178/
[bilibili]: http://space.bilibili.com/97678687
[apachecn_163.com]: mailto:apachecn@163.com
[wizard.z_foxmail.com]: mailto:wizard.z@foxmail.com
[Link 48]: https://imgconvert.csdnimg.cn/aHR0cDovL2hvbWUuYXBhY2hlY24ub3JnL2ltZy9hYm91dC9kb25hdGUuanBn?x-oss-process=image/format,png