ApacheCN 公众号文章汇总 2019.7

待我称王封你为后i 2021-12-01 11:02 280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。

*  [ApacheCN 活动汇总 2019.7.19][ApacheCN _ 2019.7.19]
 *  [卷积的计算][Link 1]
 *  [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]
 *  [我在北京这几年（三）–尴尬的一段][Link 2]
 *  [ApacheCN 编程/大数据/数据科学/人工智能学习资源 2019.7][ApacheCN _ 2019.7]
 *  [宋仲基宋慧乔没能找到对的人，算法能帮我们找到么？][Link 3]
 *  [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 4]
 *  [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 5]
 *  [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 1]
 *  [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 6]
 *  [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 7]
 *  [“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]
 *  [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 8]
 *  [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 9]
 *  [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 10]
 *  [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 11]
 *  [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]

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[apachecn_awesome-article-recomm]: https://github.com/apachecn/awesome-article-recomm
[ApacheCN _ 2019.7.19]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483879&idx=1&sn=e1f1a7f59ba0e9f34f9451be8041c8d8&chksm=fd3ba4f1ca4c2de7f63dd4c6366e77d786483976101c4d1b78edd3c47699189b42ebb6a9bb25#rd
[Link 1]: 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]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483829&idx=1&sn=13b2c247ef81ae4e417a3ce4f1c23177&chksm=fd3ba4a3ca4c2db55bf5c81cf4bda774ec9ead51434646263e36cc588cea3b0a60dc97451b4c#rd
[Link 2]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483829&idx=2&sn=dd39f0edbca3c1250c6cb929ebd600ab&chksm=fd3ba4a3ca4c2db56c03f275ae984a5ff6cd39502139b1934fa614ee4d072e79a57216ba10d1#rd
[ApacheCN _ 2019.7]: http://mp.weixin.qq.com/s?__biz=MzU3Mzg3OTQxNw==&mid=2247483835&idx=2&sn=2dd80a128d56544450cae850df21eeaf&chksm=fd3ba4adca4c2dbb4ac785a63f6e00db6d9302dd8ffd6300c73e11bc4c4ac9d8b575ad4f5db1#rd
[Link 3]: 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 4]: 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 5]: 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 1]: 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 6]: 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 7]: 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 8]: 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 9]: 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 10]: 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 11]: 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