ApacheCN 公众号文章汇总 2019.8

朴灿烈づ我的快乐病毒、 2021-10-23 14:30 348阅读 0赞

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly93aXphcmQuYmxvZy5jc2RuLm5ldA_size_16_color_FFFFFF_t_70][]

> **ApacheCN 优质博文推荐计划正式启动**
> 
> 接受以下主题的博文：
> 
>  *  人工智能（论文解读，比赛心得，面经，知识点讲解）
>  *  环材化生劝退
>  *  CS 留学申请，IT 外企求职
> 
> 每日从所有投稿中精选两篇，在 ApacheCN 全公众平台推送。
> 
> 请在 [apachecn/awesome-article-recomm][apachecn_awesome-article-recomm] 仓库新建 Issue，按以下格式填写：
> 
> 1.  博文地址
> 2.  是否为个人原创
> 3.  投稿推荐语
> 4.  原作者信息（选填）：作者昵称，原始发布平台，联系方式
> 
> 非原创投稿，ApacheCN 将主动向原作者申请授权后使用。
> 
> 个人原创投稿一经投稿视为授权 ApacheCN 在保留原作者信息的情况下使用博文。

### 2019.8 ###

*  [仰望大佬：如何活学活用，用技术找对象][Link 1]
 *  [AI 能否解救，被枪击阴霾笼罩的美国][AI]
 *  [IJCAI 2019 最佳论文陆续出炉，从底层到应用][IJCAI 2019]
 *  [Ta 在假笑么？这个识别算法可以鉴定][Ta]
 *  [今日黄历：宜智能开房，周到又优雅][Link 2]
 *  [如何高质量地度过大学四年时光，不认命是改变的开始][Link 3]
 *  [从中科院到BAT，如何准备秋招那件事儿（附B站录播）][BAT_B]
 *  [GNN 系列（三）：GraphSAGE][GNN _GraphSAGE]
 *  [数据竞赛专题 | 数据探索-从数据中发现隐藏价值][_ _-]
 *  [AI是泡沫？那是你还没看过这些应用][AI 1]
 *  [Github | 备战秋招&社招，最全面试题集合！][Github _]
 *  [Github| 分享两个有趣实用的开源项目][Github_]
 *  [我在北京这几年（三）— 在中关村的三年（1）][_1]
 *  [我在北京这几年（三）–尴尬的一段][Link 4]
 *  [ApacheCN 活动汇总 2019.8.9][ApacheCN _ 2019.8.9]
 *  [人工智能/数据科学比赛汇总 2019.8][2019.8]
 *  [Sklearn 0.21 中文文档校对活动 | ApacheCN][Sklearn 0.21 _ _ ApacheCN]
 *  [PyTorch 自然语言处理翻译完成 | ApacheCN][PyTorch _ _ ApacheCN]
 *  [可解释的机器学习翻译项目启动 | ApacheCN][_ ApacheCN]
 *  [Google最新论文，首次引入自动网络设计高效解决大规模深度推荐模型的特征嵌入问题][Google]
 *  [一文看懂GAN演进图谱][GAN]
 *  [最新！五大顶会2019必读的深度推荐系统相关的论文][2019]
 *  [一文看懂AutoEncoder模型演进图谱][AutoEncoder]
 *  [推荐召回算法之深度召回模型串讲][Link 5]
 *  [图解word2vec（原文翻译）][word2vec]
 *  [2019腾讯广告算法大赛方案分享（冠军）][2019 1]
 *  [推荐：腾讯开源的词向量精简版本下载][Link 6]
 *  [《李宏毅机器学习完整笔记》发布，Datawhale开源项目LeeML-Notes][Datawhale_LeeML-Notes]
 *  [特征工程的宝典-《Feature Engineering for Machine Learning》翻译及代码实现][-_Feature Engineering for Machine Learning]
 *  [GNN 系列：图神经网络的“开山之作”CGN模型][GNN _CGN]
 *  [GNN 系列：Graph 基础知识介绍][GNN _Graph]
 *  [转行成为数据分析师的经验分享][Link 7]
 *  [ApacheCN 2019.4~7 总结][ApacheCN 2019.4_7]
 *  [就在刚刚！吴恩达的这门新课程终于开放注册了][Link 8]
 *  [重磅！李飞飞 CS231n 最全学霸笔记精炼版来了][CS231n]
 *  [开源！《Python 机器学习》第二版（附电子版 pdf）][Python _ pdf]
 *  [重磅！李航《统计学习方法》Python 代码更新，适应第二版！][Python]
 *  [创立三年，广受好评：如何评价 ApacheCN ？][ApacheCN]
 *  [ApacheCN 活动汇总 2019.8.3][ApacheCN _ 2019.8.3]
 *  [ApacheCN 编程/大数据/数据科学/人工智能学习资源 2019.8][ApacheCN _ 2019.8]
 *  [暑期组队学习计划][Link 9]
 *  [数据竞赛专题 | 从赛题理解到竞赛入门基础][Link 10]
 *  [敲门算法：和你一起学李宏毅][Link 11]
 *  [Datawhale专访 | 周涛：从窄门进最终走出宽路来][Datawhale_ _]
 *  [ApacheCN 活动汇总 2019.7.27][ApacheCN _ 2019.7.27]
 *  [图深度学习论文笔记整理活动 | ApacheCN][_ ApacheCN 1]
 *  [ApacheCN 公众号文章汇总 2019.7][ApacheCN _ 2019.7]

### 2019.7 ###

*  [ApacheCN 活动汇总 2019.7.19][ApacheCN _ 2019.7.19]
 *  [卷积的计算][Link 12]
 *  [关于 awesome-algorithm 仓库中 Python Leetcode 代码删除一事][awesome-algorithm _ Python Leetcode]
 *  [深度学习 500 问！一份火爆 GitHub 的面试手册][500 _ GitHub]
 *  [GirlsInAI 近期计划，求扩散，欢迎大家转起来！][GirlsInAI]
 *  [GIA张怡：关于小白入门AI算法工程师的直播分享][GIA_AI]
 *  [人工智能/数据科学比赛汇总 2019.7][2019.7]
 *  [ApacheCN 活动汇总 2019.7.12][ApacheCN _ 2019.7.12]
 *  [Datawhale x 机器之心 免费赠送20张门票！与吴恩达、李航等邂逅GMIS全球数据智能峰会][Datawhale x _ _20_GMIS]
 *  [Datawhale x 科大讯飞 iFLYTEK A.I.开发者大赛重磅开启！][Datawhale x _ iFLYTEK A.I.]
 *  [Auto Machine Learning 自动化机器学习笔记][Auto Machine Learning]
 *  [深度推荐系统与CTR预估2019年上半年值得精读的论文][CTR_2019]
 *  [机器学习笔记的github镜像下载（github个人star数量排名175）][github_github_star_175]
 *  [Scrapy 1.6 中文文档校对活动 | ApacheCN][Scrapy 1.6 _ _ ApacheCN]
 *  [ApacheCN 活动汇总 2019.7.5][ApacheCN _ 2019.7.5]
 *  [人工智能进军餐饮：AI 调酒，越喝越有][AI 2]
 *  [我在北京这几年（三）–尴尬的一段][Link 13]
 *  [ApacheCN 编程/大数据/数据科学/人工智能学习资源 2019.7][ApacheCN _ 2019.7 1]
 *  [宋仲基宋慧乔没能找到对的人，算法能帮我们找到么？][Link 14]
 *  [从入门到冠军 中国移动人群画像赛TOP1经验分享][_TOP1]
 *  [TensorFlow2.0 系列开篇： Windows下GPU版本详细安装教程][TensorFlow2.0 _ Windows_GPU]
 *  [ApacheCN 活动汇总 2019.6.28][ApacheCN _ 2019.6.28]
 *  [男人真的挺苦的。][Link 15]
 *  [GBDT详细讲解&常考面试题要点][GBDT]
 *  [ApacheCN 公众号文章汇总 2019.6][ApacheCN _ 2019.6]
 *  [我在北京这几年（二）— 一段不愉快的记忆][Link 16]

### 2019.6 ###

*  [实践 | 手把手教你开发三子棋AI][_ _AI]
 *  [这是一篇关于如何成为一名AI算法工程师的长文][AI 3]
 *  [ApacheCN 翻译活动进度公告 2019.6.21][ApacheCN _ 2019.6.21]
 *  [论文 | 经典VGG 论文解读][_ _VGG]
 *  [重磅! | 比Pytorch Hub更早？三分钟带你弄懂Paddle Hub！  ][_ _Pytorch Hub_Paddle Hub_ _]
 *  [我在北京这几年（一）— 第一年][Link 17]
 *  [ApacheCN 翻译活动进度公告 2019.6.15][ApacheCN _ 2019.6.15]
 *  [PyTorch 1.0 中文文档正式接受校对 | ApacheCN][PyTorch 1.0 _ _ ApacheCN]
 *  [斯坦福 CS224n 中文笔记整理活动][CS224n]
 *  [没有电脑也能数据分析，安卓运行Jupyter notebook 操作指南][Jupyter notebook]
 *  [ApacheCN 翻译活动进度公告 2019.6.7][ApacheCN _ 2019.6.7]
 *  [Sklearn 与 TensorFlow 机器学习实用指南（补档）][Sklearn _ TensorFlow]
 *  [百页机器学习小书翻译活动·正式启动][Link 18]
 *  [“爱装X”开源组织：“教科书级”AI知识树究竟长什么样？][X_AI]
 *  [ApacheCN 编程/大数据/数据科学/人工智能学习资源 2019.6][ApacheCN _ 2019.6 1]
 *  [ApacheCN 翻译活动进度公告 2019.5.25][ApacheCN _ 2019.5.25]
 *  [求职攻略 | Datawhale助力秋招最强战甲][_ Datawhale]
 *  [ApacheCN 人工智能知识树 v1.0][ApacheCN _ v1.0]
 *  [ApacheCN 翻译活动进度公告 2019.5.17][ApacheCN _ 2019.5.17]
 *  [ApacheCN 翻译活动进度公告 2019.5.11][ApacheCN _ 2019.5.11]
 *  [分享AI有道干货 | 126 篇 AI 原创文章精选（ML、DL、资源、教程）][AI_ _ 126 _ AI _ML_DL]
 *  [人工智能/数据科学比赛汇总 2019.5][2019.5]
 *  [USF MSDS501 计算数据科学中文讲义·翻译完成][USF MSDS501]

### 2019.5 ###

*  [ApacheCN 编程/大数据/数据科学/人工智能学习资源 2019.5][ApacheCN _ 2019.5]
 *  [InteractiveGraph 实现酷炫关系图谱之前瞻][InteractiveGraph]
 *  [美食图谱复现指南之依存句法分析][Link 19]
 *  [左手读红楼梦，右手写BUG，闲快活][BUG]
 *  [手把手教你完成一个数据科学小项目（9）：情感分析与词云][9]
 *  [Datawhale第七期组队学习计划][Datawhale]
 *  [推荐：机器学习实战项目练手的平台][Link 20]
 *  [推荐：常见算法的python实现（github上25000多star）][python_github_25000_star]
 *  [TIANCHI-全球城市计算挑战赛-完整方案及关键代码分享（季军）][TIANCHI-_-]
 *  [首发：一份国内机器学习爱好者的性别比例的抽样调查][Link 21]
 *  [100多篇CV博文持续更新，上交博士带你研读CV前沿Paper][100_CV_CV_Paper]
 *  [如何判断数据背离正态分布？][Link 22]
 *  [GitHub上能让你重拾学习热情的AI项目：权游预测/AI作画/与AlphaZero对弈][GitHub_AI_AI_AlphaZero]
 *  [Python，数据结构，神经网络-面经][Python_-]
 *  [吴恩达CS230深度学习开课了！视频配套PPT应有尽有][CS230_PPT]
 *  [教程 | 西瓜书公式看不懂？Datawhale开源项目pumpkin-book来帮您][_ _Datawhale_pumpkin-book]
 *  [ApacheCN 翻译活动进度公告 2019.5.3][ApacheCN _ 2019.5.3]
 *  [Impatient JavaScript 中文版校对活动期待大家的参与][Impatient JavaScript]
 *  [ApacheCN 翻译活动进度公告 2019.4.28][ApacheCN _ 2019.4.28]
 *  [ApacheCN 2019Q1 总结][ApacheCN 2019Q1]
 *  [人工智能/数据科学比赛汇总 2019.4][2019.4]
 *  [实践 | 一文教你用 Neo4j 快速构建明星关系图谱][_ _ Neo4j]
 *  [重磅 | 完备的 AI 学习路线，最详细的资源整理！][_ _ AI]
 *  [ApacheCN 交流社区一周热点 2019.4 wk1][ApacheCN _ 2019.4 wk1]
 *  [Machine Learning Mastery 博客文章翻译：XGBoost][Machine Learning Mastery _XGBoost]
 *  [ApacheCN 编程/大数据/数据科学/人工智能学习资源 2019.4][ApacheCN _ 2019.4]
 *  [ApacheCN 翻译活动进度公告 2019.3.31][ApacheCN _ 2019.3.31]

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly93aXphcmQuYmxvZy5jc2RuLm5ldA_size_16_color_FFFFFF_t_70]: /images/20211023/e5a83d6d5fda4dd690b5316c559722d9.png
[apachecn_awesome-article-recomm]: https://github.com/apachecn/awesome-article-recomm
[Link 1]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483938&idx=1&sn=c95a3aeab28cadafaac68723e15d5e2c&chksm=fd3ba734ca4c2e222e5613f5a9314261fbf38ac1d38211f680b1067bd17557396ef5b53b1460#rd
[AI]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483938&idx=2&sn=271d99231bb0911f57c257775c6fbc19&chksm=fd3ba734ca4c2e223cdc8ebc56b13efcaa6efa546ef346725884d3138e82562394089da69527#rd
[IJCAI 2019]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483938&idx=3&sn=6379b1ddf563d493526ede47412fa282&chksm=fd3ba734ca4c2e2213befb3eedc48414a2bb3e2f894e8e16cafe9c188bf5ea3734b10f1252d4#rd
[Ta]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483938&idx=4&sn=4d5fe64fbdf89f2f7b06b0f009fb8183&chksm=fd3ba734ca4c2e22da39371a65fb30ebfb089b2898e17c1960afa7910eb4c60956274cba49a3#rd
[Link 2]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483938&idx=5&sn=3b2188695014cb01a37667b574551c9f&chksm=fd3ba734ca4c2e22ca22289fac9e24ff2806eb73ff1b040a2c30726946746c0b54d954e6d8ee#rd
[Link 3]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483936&idx=1&sn=5bd8176e5a428068b96b381422e040a8&chksm=fd3ba736ca4c2e2035c35a72287a5d9e6531bd6a3458981308e8a17e84a12510ea77006d1e6a#rd
[BAT_B]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483936&idx=2&sn=bd57eb427ff35a4c5822fe9670856896&chksm=fd3ba736ca4c2e207893059aa499405f22a709225ddb0feb9a36c3a505c0c5baabf0dd924f9f#rd
[GNN _GraphSAGE]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483936&idx=3&sn=a00e66688141cf7823b55b5175897266&chksm=fd3ba736ca4c2e20f5c7852abf08104eacc46f66125da3ca187ccd7b777f94418fcf1ed95a4a#rd
[_ _-]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483936&idx=4&sn=9a24ef940ec5061bf623102afd58c960&chksm=fd3ba736ca4c2e2066b9164a50196e0bb3e48dc177a61f58e661465eadba45bfabfaa0eb7408#rd
[AI 1]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483934&idx=1&sn=dae6e267bb68889e2be297e2137579b3&chksm=fd3ba708ca4c2e1e15a81881499bfe35ef92da88b58279d1f94955f3539adf31f7b63cf49a99#rd
[Github _]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483934&idx=2&sn=2630b43c14423c417261e4ab40e8db1a&chksm=fd3ba708ca4c2e1ef0931305156fa391b6cd95385d91f8ad764c8133b7a0f3bda2f7661d5c37#rd
[Github_]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483934&idx=3&sn=f97f0aaeed5e6b6781d18489af2af77c&chksm=fd3ba708ca4c2e1e8cb4b822170ec1d03cf63e71a49dd26b711a825e0119474a176df78c0e81#rd
[_1]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483934&idx=4&sn=8e9fd88cd039c0b7272e79b56d59a8cd&chksm=fd3ba708ca4c2e1e3da568848661836409a870715760900756ef74bef9dd3a4fb5608b325e0b#rd
[Link 4]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483934&idx=5&sn=5930962ca8cf97bbc473e5b9d31b5d42&chksm=fd3ba708ca4c2e1e408c8803662622465f99aff4992c9ab25041a490da1ab4f7a46363fca689#rd
[ApacheCN _ 2019.8.9]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483932&idx=1&sn=6e1a43cc63a5b036ccad46453359b6f2&chksm=fd3ba70aca4c2e1ce6015118211c31c00c3ee4fd9eb4a4a2f2c253691e78e49253c18c0c09d5#rd
[2019.8]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483932&idx=2&sn=9d77848a3729c8c8b816527ba6a922cd&chksm=fd3ba70aca4c2e1ca6d22c5fceda724b6512cc04e0f2b3d9b3d01e6d41a569ae8dbc2cbfeaec#rd
[Sklearn 0.21 _ _ ApacheCN]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483932&idx=3&sn=e31d47f300ee307b09a4a57a332d5db2&chksm=fd3ba70aca4c2e1c1016a246d6e0d5b4a685819c3fff32cc3778de8e85db0a93314588218685#rd
[PyTorch _ _ ApacheCN]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483932&idx=4&sn=d55af5fa8debe345edde316f05cc64af&chksm=fd3ba70aca4c2e1c8320eecab8ceaa71b86e83aa4c2c0114497b6f6ee2e7d743dd4e68ebb220#rd
[_ ApacheCN]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483932&idx=5&sn=d37f6f99a7baff3b92fe5c50dca33cff&chksm=fd3ba70aca4c2e1c21d5659657266ff111f3ead24c1457a5a4e1910425bf926036f47024a8e1#rd
[Google]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483919&idx=1&sn=e257f7081657a2256da9eae6a605ea84&chksm=fd3ba719ca4c2e0f23eea2e2da472e72536c2050b36cdfaff2a952944aff23373b68227bd01d#rd
[GAN]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483919&idx=2&sn=c84e93e4c6df4d1a1f2264c4e0f30f04&chksm=fd3ba719ca4c2e0f189cdf17b3cce81c144e0524c4e3053e57b1c65c2314058ce76d7503c80d#rd
[2019]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483919&idx=3&sn=1fdbf55161994953dd179c46b85eb75c&chksm=fd3ba719ca4c2e0f9a13c5b6834e8b8e47b1d73695b4ef18b88154c529ccc9108cd01a9bdae6#rd
[AutoEncoder]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483919&idx=4&sn=1e12427bf20dda9d49221efaaa6e5429&chksm=fd3ba719ca4c2e0f6a5392ce0a14aeec8d35f94f9110f9e91cb73872ee22465b0b550bd0c5a1#rd
[Link 5]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483919&idx=5&sn=7cecd6f026a590ef3f394c0d99e0e1a5&chksm=fd3ba719ca4c2e0f87f550d4327f2928c39cf57d4ac19cd21cf2fc6af04b86bbd734e5ee7dab#rd
[word2vec]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483917&idx=1&sn=d4090db0aef14ed521497760aad19aff&chksm=fd3ba71bca4c2e0dfeb534462cde84bcc90d07128f773b7d90c89189a95f23d359f32ddad093#rd
[2019 1]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483917&idx=2&sn=02b66bd0bd97e56d1d53eceb50bd7aa4&chksm=fd3ba71bca4c2e0d0397126f2954ed903433ef6eb24fba62800811a2afe26091a72135d2804b#rd
[Link 6]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483917&idx=3&sn=e1458be2c2a525c4646fd65264d7bd4c&chksm=fd3ba71bca4c2e0d24b0e11f35f65ef0e2d345ae0515e2f6e2ddd3042faeef881e41817f717b#rd
[Datawhale_LeeML-Notes]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483915&idx=1&sn=a071d156fc24d0ec3c0662149816e2d8&chksm=fd3ba71dca4c2e0b9210a3ad79c179a18c18c9e2e287850261b818fd1b8d803e3363e13378b9#rd
[-_Feature Engineering for Machine Learning]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483915&idx=2&sn=e00b9a2a801e51d5f904b7c61a50d04e&chksm=fd3ba71dca4c2e0be2d2cab52bed3b3e3426d91c1c67d7f87f7ed3f9bb78123232169bc7f0dc#rd
[GNN _CGN]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483915&idx=3&sn=f702f0906e0d2b9fe7d7a28e232e6a2c&chksm=fd3ba71dca4c2e0bd4fa5e122049a499498f99b36402fe6f87b576a57fe1657c19562986edf9#rd
[GNN _Graph]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483915&idx=4&sn=76bcce80054dc4620352628d81ae726a&chksm=fd3ba71dca4c2e0b4ce0e2e2c57f098f615035d73397047ad286bb3316edd30f4cdf1b23e73b#rd
[Link 7]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483915&idx=5&sn=e9436d89bbb61bbfb733e3fc73125f3e&chksm=fd3ba71dca4c2e0b3c63b4852cae405f3a6eab5f29c479d9616179689e8f1e831226a8a85a87#rd
[ApacheCN 2019.4_7]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483913&idx=1&sn=c56b71e2e899b3f88a250e55a52eca68&chksm=fd3ba71fca4c2e09e0d47273350bcea9cb5128f48452ae6ef1b4b2eddfc0bfbdea9aefbd1f29#rd
[Link 8]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483908&idx=1&sn=80485d15d1d13c8f44277b5273872d5f&chksm=fd3ba712ca4c2e049f420f8025bc414204fd4208d331acb61b621680a93b128471c5217498f3#rd
[CS231n]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483908&idx=2&sn=8284b33a494cce8ace08bcc586e8f40c&chksm=fd3ba712ca4c2e0499293fd1f57c7869f6ddf071bff40ea7caa7c853e95b5f8d487db5b1a5a8#rd
[Python _ pdf]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483908&idx=3&sn=72bf3ca4185ae97d0e7faf3239a77256&chksm=fd3ba712ca4c2e04aee2eb2f1960d09f41691ed3f17b48e3cec64017da00a926de21e8dbf0b0#rd
[Python]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483908&idx=4&sn=c7eb4abf8943baf5695668b31806cd93&chksm=fd3ba712ca4c2e046130a64045423ebf08e9d1b2784d1b362e32d4e4646818b91276f99eac5a#rd
[ApacheCN]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483906&idx=1&sn=ee401f9931c4e18928d34757b613aec5&chksm=fd3ba714ca4c2e0273da3af056ed17c7635d3048aee8a0f1115bc567901fe5df03db7cde78d7#rd
[ApacheCN _ 2019.8.3]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483901&idx=1&sn=1dfbe49181a04e19e35fbc63bf5f68ed&chksm=fd3ba4ebca4c2dfd859c0c2248b78ee8d7ba8c629c40a46caa46fcbf7425c558e7a032912dc5#rd
[ApacheCN _ 2019.8]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483897&idx=1&sn=b8044ce2162d924c679a84ecfaa7e561&chksm=fd3ba4efca4c2df9be4b4a00a0e92d367d3d246cf943282b3a3b6fd18cd5f721d7736b021082#rd
[Link 9]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483893&idx=1&sn=1b42cce0483823a558a894ce25f123ee&chksm=fd3ba4e3ca4c2df56855eb7a97bb8b209d69b38ac8da563892aa79e6e51a40d861348e2ee390#rd
[Link 10]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483893&idx=2&sn=990a1ad7e5f0ed7859c456b09f07726d&chksm=fd3ba4e3ca4c2df5bf056b6fd1484a7d17f29ac04a11f1fb35fb02db1e9b0f660286916ee832#rd
[Link 11]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483893&idx=3&sn=de26680cdbb89e2de3e6aa411d70bc1d&chksm=fd3ba4e3ca4c2df5fc5f20b43286b1bf202d21081b81375a460b101ba1dc80f5ec28ca55cef3#rd
[Datawhale_ _]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483893&idx=4&sn=e95aa29d052890f8b59448614f1daaa0&chksm=fd3ba4e3ca4c2df5f805a3ce8177ee1b3fadfbaca269139e6b2ae5efb86da337cb8ad6f3c6d8#rd
[ApacheCN _ 2019.7.27]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483891&idx=1&sn=52d16d6d7b822df30a40bdbb0a8d63e0&chksm=fd3ba4e5ca4c2df3705c8700c5782e819758a6b3856cfee3788bd50e1a5a4a51ce57b9c379e7#rd
[_ ApacheCN 1]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483887&idx=1&sn=52af08a879e2f3847ff7af56320b5a9e&chksm=fd3ba4f9ca4c2def0c33773e2aadba491ae557df358a37dadbf651b71c9ca600eff107812af3#rd
[ApacheCN _ 2019.7]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483883&idx=1&sn=b6ea577617c673ad960dc7401a248ca0&chksm=fd3ba4fdca4c2deb345600c34c374b0c4519a09c952b75e16340a7d42f69d7307a2eff7cd148#rd
[ApacheCN _ 2019.7.19]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483879&idx=1&sn=e1f1a7f59ba0e9f34f9451be8041c8d8&chksm=fd3ba4f1ca4c2de7f63dd4c6366e77d786483976101c4d1b78edd3c47699189b42ebb6a9bb25#rd
[Link 12]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483875&idx=1&sn=36143922fcc9f97a60c0d624feb9ccbe&chksm=fd3ba4f5ca4c2de30e6e232f3db9adda56964a41087d2ea32e53e936bdda473888c41a2386c9#rd
[awesome-algorithm _ Python Leetcode]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483871&idx=1&sn=f0d8e0c5a48739f2e39897a6d0590e82&chksm=fd3ba4c9ca4c2ddf1a094c08928fcfd1c6b5f0576e17e6e8d5615acacb589d89a73a4be3cb2d#rd
[500 _ GitHub]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483867&idx=1&sn=9f5b0357c2e84d10b75d72f15e456b4f&chksm=fd3ba4cdca4c2ddb944b2445d075bd2fc953dc800fad3b4e7ae6750a4db033919142d330afff#rd
[GirlsInAI]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483865&idx=1&sn=974bc47a8b612be7e130e98204c772e8&chksm=fd3ba4cfca4c2dd91aec88a2338aa0276964437ca0bd803d437779f89375e57e5645b5fd9c95#rd
[GIA_AI]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483865&idx=2&sn=32483321358e5929cc7e379620176094&chksm=fd3ba4cfca4c2dd981c85aee7e171e32f7f77acd7e85ea8e76048b4761f360c1d3702a64c276#rd
[2019.7]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483860&idx=1&sn=49a53825af3ac2413fd7bb6bc8a2563a&chksm=fd3ba4c2ca4c2dd440946fe6218758a8a7e95ec03b828265140499e21f80fa57b7624c99a209#rd
[ApacheCN _ 2019.7.12]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483855&idx=1&sn=9a117dbd249d11064b36ea13561040f2&chksm=fd3ba4d9ca4c2dcfbbdc11b5f37b8accf043352fa58c4f77bcd25852648cbd10e64c55de5866#rd
[Datawhale x _ _20_GMIS]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483848&idx=1&sn=e14a6ab3315fbb85926ae464f05a9ec4&chksm=fd3ba4deca4c2dc8837f2fd30273151d086d22f92e07e42216911faaad8ff62bea1b6da84639#rd
[Datawhale x _ iFLYTEK A.I.]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483843&idx=1&sn=f4231d7b968b48ee8f680ae141be9cc9&chksm=fd3ba4d5ca4c2dc3a9e65275a7fef2c4b1187f450d8aed80339ba747bbd3839fe65a301a68d3#rd
[Auto Machine Learning]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483843&idx=2&sn=9a058a68b2a62affb2768e4fd4ec74e6&chksm=fd3ba4d5ca4c2dc327930d7a8b9bd97ec30216cb87bb41c9d5c25ba0cd7475c262d708a2a7d1#rd
[CTR_2019]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483841&idx=1&sn=f8fa375eda1ea495842defebb64c8a7e&chksm=fd3ba4d7ca4c2dc1c0456f9ea3818b36db7e8636cfb540512632cd65226191c50ba6e9d498c3#rd
[github_github_star_175]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483841&idx=2&sn=9424c4f65f1cf9e6607caab6527543de&chksm=fd3ba4d7ca4c2dc1dfb90ac4f8127868442f2579886d2bf1683fb4d6697691adc0c9268180c0#rd
[Scrapy 1.6 _ _ ApacheCN]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483839&idx=1&sn=03361db122a7a8f77cd0f450a059579b&chksm=fd3ba4a9ca4c2dbf456c169930d9b904193d7a7a780b00d1bac26011f4157608596c4fd6f88e#rd
[ApacheCN _ 2019.7.5]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483835&idx=1&sn=4695d32b91f134f10289ebebf17ab06d&chksm=fd3ba4adca4c2dbb25dacdb5917809e8e630d5fb1656a38cc3d91b08ef495b03df81aad465e5#rd
[AI 2]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483829&idx=1&sn=13b2c247ef81ae4e417a3ce4f1c23177&chksm=fd3ba4a3ca4c2db55bf5c81cf4bda774ec9ead51434646263e36cc588cea3b0a60dc97451b4c#rd
[Link 13]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483829&idx=2&sn=dd39f0edbca3c1250c6cb929ebd600ab&chksm=fd3ba4a3ca4c2db56c03f275ae984a5ff6cd39502139b1934fa614ee4d072e79a57216ba10d1#rd
[ApacheCN _ 2019.7 1]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483835&idx=2&sn=2dd80a128d56544450cae850df21eeaf&chksm=fd3ba4adca4c2dbb4ac785a63f6e00db6d9302dd8ffd6300c73e11bc4c4ac9d8b575ad4f5db1#rd
[Link 14]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483822&idx=1&sn=c75cbc2540650e96442fda51c884a0d2&chksm=fd3ba4b8ca4c2dae7e5a8ef2a1b2e1fb53e79d5feebfd62bdc1e710787756ccd3b5f4977ca1b#rd
[_TOP1]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483822&idx=2&sn=3adcde11ce99ccfe214a8042ba1f9641&chksm=fd3ba4b8ca4c2dae281130ad6ece04eebf508ccfc8961e6c04f9fae45706269285c904c9c0c5#rd
[TensorFlow2.0 _ Windows_GPU]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483822&idx=3&sn=b13adac6dab1c735a114371620b831c8&chksm=fd3ba4b8ca4c2dae7da81b04f83b2fa8704f3a3f7ac9e2c95b96030785387530f2814d3e3b66#rd
[ApacheCN _ 2019.6.28]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483820&idx=1&sn=77a1601ec9ab6c852cfdf1be3e70440d&chksm=fd3ba4baca4c2dac366a3566dbd63b9265eb15b5fc50e38a1220e1e003edbdac258c1b278d78#rd
[Link 15]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483820&idx=2&sn=f4551992403b70e8c6ac6191e968942e&chksm=fd3ba4baca4c2dacf7f597f6653adfc8ce2e2c57fc05ce5cfd88a0520ca5ebe4194a5b1495c3#rd
[GBDT]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483820&idx=3&sn=60a6782cd2d6db5f633a292e03abd984&chksm=fd3ba4baca4c2daccce04edc10deb1af20ad6898ffa39c1c8a153a21d660bdfd314f821b676c#rd
[ApacheCN _ 2019.6]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483814&idx=1&sn=3f5a2a552c77f9d446d918399d322d29&chksm=fd3ba4b0ca4c2da6ec1baaa41614781f36bbefff167d7fcc4351135a312fcf7df0c0043ef1c2#rd
[Link 16]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483814&idx=2&sn=ce3da43a2394541246495edaed457a0f&chksm=fd3ba4b0ca4c2da622d2ce41d68b513e43900f4ba5a75ffaea972d84c5690cf92d8a694f40bb#rd
[_ _AI]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483810&idx=1&sn=fe1f432063d5be942b240d973751a4df&chksm=fd3ba4b4ca4c2da289301e322beb599315af8524990dbac7eb1dfcd5dc650ee2e796f1daba4f#rd
[AI 3]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483791&idx=1&sn=8563d3adddaf2bee230d1f0390ebf85f&chksm=fd3ba499ca4c2d8fd83c94dcc038926f770eabcdcc80a57d0da56521634e5eec18563c2f64e0#rd
[ApacheCN _ 2019.6.21]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483788&idx=1&sn=129f3d91562fcd95bab5e5d707281688&chksm=fd3ba49aca4c2d8c0044a1f41d594be1bfc0106ed9dce8344d26f69ef4a44e79e036d3d7c056#rd
[_ _VGG]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483784&idx=1&sn=0b2c65b6083d92b41c5ab1dcd48354f3&chksm=fd3ba49eca4c2d8851bcd21fc3fe4d019f5daa68a1dbed13ac19ca22eefac5133a2c9ff9b59a#rd
[_ _Pytorch Hub_Paddle Hub_ _]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483776&idx=1&sn=7483bae6ebd4748bc9dd06c2fc8a22e1&chksm=fd3ba496ca4c2d80aa97110d54ab3f076be58ba09d2725f49cac59c8fbdd547dfd0f9bdc3730#rd
[Link 17]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483776&idx=2&sn=bdaa09cf060874195237380057af7cb8&chksm=fd3ba496ca4c2d8034cc3cbd573a02bc2bfa43890068c3d36325dcc3dd6cc828765cb6e26b6f#rd
[ApacheCN _ 2019.6.15]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483774&idx=1&sn=2d327a3f8de5a1385577e1011601df80&chksm=fd3ba468ca4c2d7e4fbf2cefe29fc7722299f5f1f58da385d517aec7e19ed24d4d0e6a692deb#rd
[PyTorch 1.0 _ _ ApacheCN]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483770&idx=1&sn=306208508c0f2badff3ec17b452bc27e&chksm=fd3ba46cca4c2d7a3581be5f8032c482f8ec9bfd86e89ab511561eb0058768ea9d02f41e6979#rd
[CS224n]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483765&idx=1&sn=d5d34ffcb49c3e13735744065c2897be&chksm=fd3ba463ca4c2d75020373595e0d718f9d2d04441b0702c6b54747ca01b317192203ba255204#rd
[Jupyter notebook]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483765&idx=2&sn=a6928e6caaf2960cd00002c6babbd9e3&chksm=fd3ba463ca4c2d7572caa72e441cb28599ee3225aa6684083fd9d6994a3036b33965625b6430#rd
[ApacheCN _ 2019.6.7]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483760&idx=1&sn=ace138683f422228f725dd6e51791cd5&chksm=fd3ba466ca4c2d70713c3e31047ef6e814f0db93fed450714b14cfbab8a11b7acc69daffb2d4#rd
[Sklearn _ TensorFlow]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483756&idx=1&sn=4adbf27a145b7eeb78331c1c3a6a3ce9&chksm=fd3ba47aca4c2d6cf6588ce3e8f9416625c327362e9a55331287bde8b2cf7d8b087090bd8745#rd
[Link 18]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483750&idx=1&sn=51d7b91ce243afc308b18a5f528ff340&chksm=fd3ba470ca4c2d6604448447a29aebfc3a6f1a9a291779fc6bcc35a6c58b178683e229e9c19e#rd
[X_AI]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483745&idx=1&sn=dbac07683daacd68d450920f412f9011&chksm=fd3ba477ca4c2d615b214df5197ce0a37852bb7a0ba58b386c329e5413568b067e04cc2219ac#rd
[ApacheCN _ 2019.6 1]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483743&idx=1&sn=c609b61ab4733c4a1e0219dac6084290&chksm=fd3ba449ca4c2d5f47dd9a022243dc482e6f289021efedb43eac2ba428fb4931f6f8ac7731e9#rd
[ApacheCN _ 2019.5.25]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483738&idx=1&sn=e217e1595f044f48bcc48132d3050d39&chksm=fd3ba44cca4c2d5a5ed524f2cb06d42a15c561b46635523fadd5cbbb9413967d17be2e40e02d#rd
[_ Datawhale]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483738&idx=2&sn=6182de3ee4ff6737374eccf368034fb1&chksm=fd3ba44cca4c2d5a6cf56e2b04fad415c5f9de7320882f6c45bd84263e7b30b10905ca117a82#rd
[ApacheCN _ v1.0]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483734&idx=1&sn=8ed0df66dc15b20ce7b7e8f739b371ec&chksm=fd3ba440ca4c2d56acb210857451519f5cd1412ba91c1023e72647d9623c00d1a614fbda434c#rd
[ApacheCN _ 2019.5.17]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483728&idx=1&sn=3ee0d6d9885bbccb0865ed8b2575319b&chksm=fd3ba446ca4c2d50e8b5786ec77dc618354e874259d37826cb388548a7cbe039a9e5ff158fa5#rd
[ApacheCN _ 2019.5.11]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483722&idx=1&sn=107db6b92285a009108b3e81d166dc83&chksm=fd3ba45cca4c2d4acd0068b9e9d0612f6c8131ddb4ccb171f3e35bc2eec684590f1378297910#rd
[AI_ _ 126 _ AI _ML_DL]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483722&idx=2&sn=cda698529cebf891a6bd3eb8da7537b1&chksm=fd3ba45cca4c2d4aff80ce1bde7db90a245df36d95706051e770a03a957546523eeeb8c1d6fc#rd
[2019.5]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483715&idx=1&sn=7eeb70515b4e1271a2cad6a39e59a824&chksm=fd3ba455ca4c2d43ebfe7410fb61674f434c5a1af72200cd34e57187ace020d73fb6f4847f88#rd
[USF MSDS501]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483706&idx=1&sn=ca5f8323f96386bc20be77c8c7e26e10&chksm=fd3ba42cca4c2d3a2aac2981973733e96b519e4b6816526f2372798adab584a1dd006b07a770#rd
[ApacheCN _ 2019.5]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483701&idx=1&sn=7bca5039f65ea99c21b12d1b8ad803b3&chksm=fd3ba423ca4c2d352cd70bb1bf8b74c9909f7711c4681b00b53ea92af6d8e57054717c313871#rd
[InteractiveGraph]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483701&idx=2&sn=dbb17e8cd2fc5981e1d6fa65bb44bce2&chksm=fd3ba423ca4c2d359036432c260a2e3f2142eb28a24f453ceceb21f697b1fd3538cbabb1b810#rd
[Link 19]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483701&idx=3&sn=629ed18cec53b8a41b5c03a514e33836&chksm=fd3ba423ca4c2d355c3f75500eebd458f7407a5df61e2f18f4263c5ef4f172f8e8b78fa4a7a2#rd
[BUG]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483701&idx=4&sn=dd3323fab4a6b91e0b611b8d8164ad65&chksm=fd3ba423ca4c2d358c3bd53a0d2fcf67998207e0c4136d1d4da7fcb64ffffe6401c255904494#rd
[9]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483701&idx=5&sn=8990f93ba9c18a501b271db4f0fbf5d3&chksm=fd3ba423ca4c2d35acf4ed592981e79630da1d1f203cb476ab1b9a265e4a7f923d196565c8e5#rd
[Datawhale]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483695&idx=1&sn=6bf9125c4248444b409f48edd8dc91f6&chksm=fd3ba439ca4c2d2fe2dc5eabf36d9515f5637cf4d5e91abd949dcc4a535458944a44cf8596eb#rd
[Link 20]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483695&idx=2&sn=8bd6df52af0d2697dc2eba46d1c52896&chksm=fd3ba439ca4c2d2f501dc1bea1797abbbfcf280d1cb2d042d1dbf90068af004eb3b93b062239#rd
[python_github_25000_star]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483695&idx=3&sn=482585bef9865aaa63f79339b2e02952&chksm=fd3ba439ca4c2d2f280b3a01f1e50c8fef8f2fb5caabecce0c88b7e03b72dd5b764b740e9e32#rd
[TIANCHI-_-]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483695&idx=4&sn=0ab21ae1ad8898289e2384d99b25bdc0&chksm=fd3ba439ca4c2d2fff22ede24e9fe95a95f70618c25db6a82df4e9bf9fe2340d4d8d511f7845#rd
[Link 21]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483695&idx=5&sn=113cab7da16b8c1cb48a3070fd45d6d4&chksm=fd3ba439ca4c2d2ff03944b71bcd4acce74cfddac3e07ac3a09b6ec961988d62f4b1f82dd6ce#rd
[100_CV_CV_Paper]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483693&idx=1&sn=16d93cd27e47c49e04d77fa43663918c&chksm=fd3ba43bca4c2d2df43228fb17154d0347db9263b09cb6ad6f9c3c5ac3d8ff2178333bab4502#rd
[Link 22]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483693&idx=2&sn=948521485be44392b01ab7e467e4bfe8&chksm=fd3ba43bca4c2d2dadb0e13b7b58c44d78a4e40159bfe97ab63c524a52401666e0ec3a40c054#rd
[GitHub_AI_AI_AlphaZero]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483693&idx=3&sn=30fbf7f4c8412e4e6f1f906cd97dc0e6&chksm=fd3ba43bca4c2d2d8e81f6752e268793f611861ca2826621c21b032f92c7963e1f0619cfba06#rd
[Python_-]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483693&idx=4&sn=07405f58e819101721baff886b86fec2&chksm=fd3ba43bca4c2d2db701d02edc36570ce455b9f2b73e6710438b56f6ac4e9da17bffc6c2dd9d#rd
[CS230_PPT]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483693&idx=5&sn=5e60fe3f59b9412b92ef42f5cff5d432&chksm=fd3ba43bca4c2d2da4f557e6af7fb5294d0a1c4d7aa92f62efee55ef6aa4c1ef5feea03b9c1a#rd
[_ _Datawhale_pumpkin-book]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483691&idx=1&sn=f65c9555b3488927a71ccaca169a39ad&chksm=fd3ba43dca4c2d2b04bed851f7424b2a4da5cdbc7f284df54d7f2e571ee1c9afc33fd0aa1fdd#rd
[ApacheCN _ 2019.5.3]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483689&idx=1&sn=5c76ad4c9a68f27fa5846103ac15d304&chksm=fd3ba43fca4c2d2959e0b9bb8a9fc2904cf705c0352602b81e609f6e37c7514c6ab72fd357c1#rd
[Impatient JavaScript]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483683&idx=1&sn=de834dabc6e5948b57cdf315c2370805&chksm=fd3ba435ca4c2d23ef50b9df7b603c6b4583bef85f19c5c949bf49de0eaed651ca3457054150#rd
[ApacheCN _ 2019.4.28]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483683&idx=2&sn=a630492b33648d9c6a7561382bc1feda&chksm=fd3ba435ca4c2d239d61f7f0112b232d712cb7789cd2eadbb7edf176811353c0085e48c272e7#rd
[ApacheCN 2019Q1]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483683&idx=3&sn=f3a75604df7d7d4d8bbbf282bc0781dd&chksm=fd3ba435ca4c2d2302793847e3f53fde8ca32de20cbbcd3224cf8e03a834eb68d19607e44361#rd
[2019.4]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483683&idx=4&sn=429da8ac9982a73c44fe87c271280e9b&chksm=fd3ba435ca4c2d23c4e47bd733bed07acebfd158979f4a65db517341536845af8b66a2fdbbcc#rd
[_ _ Neo4j]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483673&idx=1&sn=ea7ff7bf24171141578ab8db3414d599&chksm=fd3ba40fca4c2d193501b4fba2b758ecdfee7103035e73514b9c549810b793b706619d4884a8#rd
[_ _ AI]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483671&idx=1&sn=9cfef67177b80d89bf734369f4a0de3c&chksm=fd3ba401ca4c2d1734eb9dcb859b82211e73405a0d066443bb06ef08ee304017177b91d1c0c1#rd
[ApacheCN _ 2019.4 wk1]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483668&idx=1&sn=699b51d6fd77a34faf0dfbc194aaf0bb&chksm=fd3ba402ca4c2d1409cb461634eea1b0a84f7f3e8b98ac8d6c6e12aae9590dad1661d11efaab#rd
[Machine Learning Mastery _XGBoost]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483663&idx=1&sn=cc4673906dbe15015278fd3b8a5ff9a7&chksm=fd3ba419ca4c2d0f12af025e9d6e2ec982102831ab411a392a2e470ea50651e1914ca8c98d64#rd
[ApacheCN _ 2019.4]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483658&idx=1&sn=ab57ccb8ad6a8fec14168e2dbd7fca27&chksm=fd3ba41cca4c2d0ac01a0e8a28074630148458ddac21c1fe3c2ebfeacc57097ff47e7bcc7041#rd
[ApacheCN _ 2019.3.31]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483653&idx=1&sn=641cb966567bdf054d8f70919c5cc329&chksm=fd3ba413ca4c2d0529748c57c6be9eb72f0c8dbd7555eb6bf7438828e38da7c6b59dd15016fc#rd