算法工程师面试问题及相关资料集锦 by Chengyang Li

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算法工程师面试问题及相关资料集锦 by Chengyang Li

2019 年 9 月 16 日 专知

导读

Github作者lcylmhlcy发布了一份算法工程师面试问题及相关资料集锦，相当全面，值得收藏。学完这些，变身offer收割机。

作者 | lcylmhlcy

编辑 | Xiaowen

算法工程师

Github、牛客网、知乎、个人博客、微信公众号、其他

机器学习

面试问题、资料、代码实战

深度学习

面试、资料、代码实战Pytorch、代码实战TensorFlow、网课

C/C++

Python

竞赛/比赛

简历模板

其他

Github传送门：

https://github.com/lcylmhlcy/Awesome-algorithm-interview

算法工程师

Github

算法/深度学习/NLP面试笔记 Github

https://github.com/imhuay/Algorithm_Interview_Notes-Chinese

算法工程师面试 Github

https://github.com/PPshrimpGo/AIinterview

2019届秋招面经集合 Github

https://github.com/zslomo/2019-Autumn-recruitment-experience

技术面试必备基础知识 Github

https://github.com/CyC2018/CS-Notes

AI算法岗求职攻略 Github (amusi)

https://github.com/amusi/AI-Job-Notes

阿里、腾讯、百度、华为、京东、搜狗和滴滴最新面试题汇集 Github

https://github.com/xiaole0310/interview-

「面试算法练级攻略」-「LeetCode题解」-「剑指offer题解」 Github

https://github.com/guokaide/algorithm

MVision-awesome Github

https://github.com/Ewenwan/MVision

2020年的算法实习岗位信息表，部分包括内推码，和常见深度学习算法岗面试题及答案，暑期计算机视觉实习面经和总结 Github

https://github.com/HarleysZhang/2019_algorithm_intern_information

Daily Interview Github

https://github.com/datawhalechina/Daily-interview

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总 Github

https://github.com/0voice/interview_internal_reference

牛客网

旷视19届春招-算法研究员-凉经 nowcoder

https://www.nowcoder.com/discuss/167336

腾讯算法实习面试总结 nowcoder

https://www.nowcoder.com/discuss/163996

春招详细算法面经(旷视/海康/联影等8家公司Offer) nowcoder

https://www.nowcoder.com/discuss/163388

普通的算法/机器学习面经 nowcoder

https://www.nowcoder.com/discuss/61907

20届-视觉算法-暑期实习 nowcoder

https://www.nowcoder.com/discuss/173292

字节跳动实习算法岗面经 nowcoder

https://www.nowcoder.com/discuss/174565

阿里腾讯虎牙机器学习算法面经 nowcoder

https://www.nowcoder.com/discuss/175759

字节跳动图形图像算法实习面经 nowcoder

https://www.nowcoder.com/discuss/178153

拼多多算法实习生面经 nowcoder

https://www.nowcoder.com/discuss/177911

算法岗面经传送门 nowcoder

https://www.nowcoder.com/discuss/180976

面经（腾讯AI Lab，阿里达摩院，华为等公司大集合） nowcoder

https://www.nowcoder.com/discuss/180087

cv岗面经 nowcoder

https://www.nowcoder.com/discuss/159266

小菜鸡的算法实习面经 nowcoder

https://www.nowcoder.com/discuss/181770

机器学习/算法校招面试考点汇总 nowcoder

https://www.nowcoder.com/discuss/165930

计算机视觉暑期实习面经 nowcoder

https://www.nowcoder.com/discuss/186000

算法岗面经（阿里云,1,2,3，交叉，hr面） nowcoder

https://www.nowcoder.com/discuss/172079

春招实习面经（cv算法岗） nowcoder

https://www.nowcoder.com/discuss/183555

双非本硕算法陪跑面经 nowcoder

https://www.nowcoder.com/discuss/186247

2018春招科大讯飞，华为，神策数据，今日头条面经 nowcoder

https://www.nowcoder.com/discuss/75136?type=2&order=3&pos=254&page=1

2020届渣硕春招实习总结-算法岗（计算机视觉） nowcoder

https://www.nowcoder.com/discuss/186113

爱奇艺深度学习算法实习生面经 nowcoder

https://www.nowcoder.com/discuss/185614

阿里，旷视，亚马逊，谷歌面经 nowcoder

https://www.nowcoder.com/discuss/172693

算法菜鸟的春招之路 nowcoder

https://www.nowcoder.com/discuss/188295

机器学习算法面经（腾讯阿里网易） nowcoder

https://www.nowcoder.com/discuss/75166?type=2&order=3&pos=250&page=1

实习算法岗血泪面经，商汤，旷世，阿里，字节跳动 nowcoder

https://www.nowcoder.com/discuss/192689?type=2

机器学习/数据挖掘岗2019秋招总结 nowcoder

https://www.nowcoder.com/discuss/138721

算法面经（阿里、腾讯、美团等） nowcoder

https://www.nowcoder.com/discuss/77924?type=2&order=3&pos=195&page=1

春招秋招算法机器学习岗面经（阿里、腾讯、美团、携程） nowcoder

https://www.nowcoder.com/discuss/106725

春招（附面经） nowcoder

https://www.nowcoder.com/discuss/79729

计算机视觉算法岗面经 nowcoder

https://www.nowcoder.com/discuss/128148

机器学习算法面经---2018秋招 nowcoder

https://www.nowcoder.com/discuss/32008

阿里&腾讯春招算法面经 nowcoder

https://www.nowcoder.com/discuss/198290?type=2&order=3&pos=7&page=1

阿里暑期实习六面面经 nowcoder

https://www.nowcoder.com/discuss/180007

计算机视觉算法岗面经 nowcoder

https://www.nowcoder.com/discuss/128148

阿里达摩院 cv 算法面经 nowcoder

https://www.nowcoder.com/discuss/216797

算法工程师面经寒拼蘑腾作网网3 附答案 nowcoder

https://www.nowcoder.com/discuss/231656

搜狗算法面经 nowcoder

https://www.nowcoder.com/discuss/231973

商汤20校招CV算法研究员面经(三面+HR面) nowcoder

https://www.nowcoder.com/discuss/209857

作业帮/寒武纪/商汤/科大讯飞面经 nowcoder

https://www.nowcoder.com/discuss/218906

面经 | 腾讯/百度/字节跳动/拼多多/华为/美团/寒武纪/虎牙等 nowcoder

https://www.nowcoder.com/discuss/241988

算法秋招上岸了，大家加油，我先撤了（附所有面经） nowcoder

https://www.nowcoder.com/discuss/244979

知乎

算法工程师必须要知道的面试技能雷达图 zhihu

https://zhuanlan.zhihu.com/p/54089811

做计算机视觉的你，如何拿到大厂的Offer的？可否分享下？zhihu

https://www.zhihu.com/question/272045026/answer/366665187

字节跳动计算机视觉算法实习生视频面试 zhihu

https://zhuanlan.zhihu.com/p/59270912

2019秋招算法面经 zhihu

https://zhuanlan.zhihu.com/p/42936891

CVTE视觉计算岗实习面经 zhihu

https://zhuanlan.zhihu.com/p/59223324

互联网公司最常见的面试算法题有哪些？zhihu

https://www.zhihu.com/question/24964987/answer/586425979

计算机视觉（cv）方向今年招聘情况怎么样?是否已经人才过剩? zhihu

https://www.zhihu.com/question/293700785

个人博客

AI算法工程师手册 Blog

http://www.huaxiaozhuan.com/

小米面试总结 Blog

https://wx.qnmlgb.tech/articles/5c55c999ce56ab804b1526cd/

百度/商汤AI面试 CSDN

https://blog.csdn.net/emma1222/article/details/86551435

算法校招经验总结(百度,阿里巴巴,腾讯,今日头条) CSDN

https://blog.csdn.net/ML_SDD/article/details/84986528

CV计算机论文速览 CSDN

https://me.csdn.net/u014636245

微信公众号

阿里巴巴计算机视觉算法实习生视频面试 website

https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247488083&idx=3&sn=499149282d197c1b68d3fa105a69e271&chksm=f9a260dcced5e9ca7a86741c90b5199251b4bf02b2279b314fa3302911b8d0c22e036dd7bb33&scene=21#wechat_redirect

面试经验AI算法工程师(面试官角度) website

https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247487216&idx=1&sn=4516fd92ecd48cebb91629a0b1f3473d&chksm=f9a27c7fced5f5694608c40a8f4dce2636986d28145f073d2d8de088dd5ef3caa66423773787&scene=21#wechat_redirect

从零基础到BAT算法岗SP——秋招准备攻略 website

https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247485936&idx=1&sn=0e156832abdc9bfd4ee82b9b70063b3e&chksm=f9a27b7fced5f26912dd64b3c6f5a2d153068843cce378a8894ffb0ea786bcba698ef0d747f3&scene=21#wechat_redirect

蚂蚁金服/旷视/虹软/腾讯优图暑期实习offer面经 website

https://mp.weixin.qq.com/s?__biz=MzI4MDYzNzg4Mw==&mid=2247489199&idx=3&sn=4b1f2f5033929491f56bebbc73a63e63&chksm=ebb42e7bdcc3a76d0c2c9d98f275882b9cbf852c2f32d5ab3977a670690c1150a3ab0b04aa53&scene=0&xtrack=1&key=5aa6b6fc7e8425bd24f718156836dc2e81e8283eeb1653306993c9c6816f5ba1d0415a3a95b30fdb1daf045964002a34ccb8a4f35727519df9aea73b6b87f702d2c2b2549c21f6e5360bf6929136fc5b&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=ESuAgyeBfQrIeEX8gTsQm4%2BCbjzCr74m7714n%2BShviVnNifUDKpDRrHljFR6o7iD

我在美团的这两年（附校招笔试/面试/面经分享） website

https://mp.weixin.qq.com/s?__biz=MzIwOTc2MTUyMg==&mid=2247488886&idx=2&sn=492332b20d3cea34f1abc6db3bb8cbc0&chksm=976fb0eba01839fd0a3d5008ef3f9856497c81ccd7b24b54f6704cbb214c5b1c63e1994bae9e&scene=0&xtrack=1&key=06b9089f8b38a19dc32008401b357b8353893a940dacc033638bccf49fc5b677804c8eaa3a092642351bbe1946e51434390c2505086c24b7e53656d5d496007a8621d2bbaf70a1127653009d9b76b3f5&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=laGKw171mD7STlgm5UhAf8aO5%2FAa0k%2F344uX0n%2FfROga4NBnjwqA%2BHgqlB5IqA5u

1000 面试题，BAT 机器学习面试刷题宝典！ website

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如何拿到自己满意的offer？ website

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机器学习与深度学习常见面试题（上） website

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机器学习与深度学习常见面试题（下） website

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完备的 AI 学习路线，最详细的资源整理！ website

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计算机视觉、算法岗实习面经（阿里/格灵深瞳/南京地平线机器人） website

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面经 | 挂两次腾讯面试的春招教训 website

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Face++公司 - 两轮技术面试面经 website

https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247490838&idx=2&sn=ebab23ad07e81fac51ff73bd05d6d024&chksm=f9a26f99ced5e68f262f1f3378de60c3a13812228592635eea9b1a5b3363d0005e4b166f12de&scene=0&xtrack=1&key=8131978de357c28aca9abbe0f79df6ffb5fd2bf34350c929d44846f26dce3eb3e67e733a7b4fc00f3de641695cf6a36f8eef27d996acdaface59aa2dbd586518c6436be26147ec532797cf23ebd9cc23&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=pAAFeZ%2FWM675ia1cV7wlRX09ocUk2JDlruSKGs7l3i2HbajbZPSzXDNSri3idv6U

秋招面经 | 旷视科技算法岗秋招面试经验分享 website

https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247489963&idx=2&sn=e863112b068ad716a9d6dc820eaf004b&chksm=ec1ff452db687d4446dce6640075f144b07f6032e4c7f125d1569783083550b92b5746f59cc3&scene=0&xtrack=1&key=8131978de357c28a4635cd6d39d94a9eb5aa3b39352d0a2110d4fb4370e7b18d4f45750a4ba7ffa904a171d015c95ef1b1b4672224f83c6e3c71443c151dd9d22cb8d65be1f7f8fa5cfa69b197ac2c43&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=%2BALHnM%2BRBZdmh5iwLWmDGy48Bv5N3g6fYsAHbZn8GvqBr8QkG%2FbTMIgivI0Ll2cN

面经+经验分享|2019秋招算法岗复盘 website

https://mp.weixin.qq.com/s?__biz=MzI1MzY0MzE4Mg==&mid=2247485062&idx=1&sn=c167c254d0a725cb7cf49fc1d4ed0387&chksm=e9d01647dea79f5111bec97badf23db4711c07e1fc7b9b0b48bef94556f7956936cd1bd89799&scene=0&xtrack=1&key=4e5709a69a44a1ddc80614fd27bc9fd9692e4095edbe878b041ed1e58e4ba8fca1371f265f11d0a574b6fb00ec97896caa2e62b9f2546e5cedfc11556151bc4386ce8343ecc44ab0c232a6f7463c88f9&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=aIZ6cWaLHjOvxT%2Fw%2FmvPE3awD9%2B5yykz%2BYcqY%2BtaGQrGH2p8ftZePYMiyjLPmOUf

专科生阿里大数据一面面经(已过) website

https://mp.weixin.qq.com/s?__biz=Mzg3NjI4OTg1Mw==&mid=2247484222&idx=1&sn=fa0d9084846a3fd2a681afcf7bc5e4e5&chksm=cf35c96cf842407a4cca9b960785ff6909cfe0eba6c9dbd37198c27e6e198dff5c8472548eef&scene=0&xtrack=1&key=dccf35d64f2e46087037d2958558ff4576eedeeaed91d201defca8c13685e3321e80314870260fdf5f4c2a701e1d528c720bede53b67dfa86a92a5b0dfb019282a5ab68d32ef5ed2f2266199f6efe168&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=aIZ6cWaLHjOvxT%2Fw%2FmvPE3awD9%2B5yykz%2BYcqY%2BtaGQrGH2p8ftZePYMiyjLPmOUf

2019秋招算法岗复盘 website

https://mp.weixin.qq.com/s?__biz=MzUxNjk4MjAxOA==&mid=2247484535&idx=1&sn=6e4b18c801ff1ef350fc8ad1c11a4a72&chksm=f99e501acee9d90cae86eac372cf679ecacb73fc18e4c937a8b6bd1129e5894db7a8c90329d5&scene=0&xtrack=1&key=225412a9c7b5021367e31f82715ee8b8955eb7c2a5d8a5ad916892adbbeaccb2c78eeb2704ae66d998aa0755d01ff755de680aac057b452d7572f6fb9c1740d50346bf71dea9deac9324220f90929182&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=rWrQpFnb7ealkvqkv3J38FWHQCDTbRVo%2BTwD4Gdxp7R8NbjeXhAb%2Fts%2BMA4zNtrO

我面试了10家算法公司，这是我能记住的所有问题 website

https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247491149&idx=2&sn=5aa369afa89d2080de45145de40a4855&chksm=f9a26cc2ced5e5d42d5171be277778f8527e99f6c270b4d8290e9defff3d1849d8cd48c3dcbe&scene=0&xtrack=1&key=ee7fe1a80b3162f35a079b9ca82a3398a4b1c1e248c5764200c15f41f0ab1645613e14896741c52d5357b2e9aea72f843e2d5f14a6d7c570e17f2ea3803d3adf3c2b288055c1fe983ed4da1970b0e9cf&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=rWrQpFnb7ealkvqkv3J38FWHQCDTbRVo%2BTwD4Gdxp7R8NbjeXhAb%2Fts%2BMA4zNtrO

计算机视觉算法工程师（旷视、商汤、智云、海康）面试总结 website

https://mp.weixin.qq.com/s/lKYmo_Sd5Pq8otvS2_x5iA

秋招面经 | 滴滴20校招CV算法岗面试经验分享(三面） website

https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247490482&idx=2&sn=ffedf241939b45e27020d67b1ad461e1&chksm=ec1ff64bdb687f5d4dfd10a3d3b2f2e70eb87fac9c81357b341dc5c4a6bf1c4dfd077f366149&scene=0&xtrack=1&key=a4f2e1c5351761186dd70d875d82053acf133cf2f6ced0480c4404cbb9302ef413c80539be251de00e5be187a63cdd58ea1381ea6fe0f93c3c97d1bd2d9a59fbd917d0be7ecf53ee389d2743bb2244ea&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060841&lang=zh_CN&pass_ticket=bBA78nBZzTpaKTmAAaWvFQdsuIgbvpsAxFzrpcjvG4m%2BUxCwT%2BGe%2FlP1xh9fyATn

八家国企大数据面经(干货，详细答案) website

https://mp.weixin.qq.com/s?__biz=Mzg3NjI4OTg1Mw==&mid=2247484418&idx=1&sn=b3ef3b3a542105ec201a58171925c9ae&chksm=cf35ce50f8424746b8b36752840c2f36c328b7cdf2f0d483fa0d2b4d440321e0a3eed58ea33f&scene=0&xtrack=1&key=a4f2e1c5351761180b02215d627ba2b8218eb9c90306209837b3a4e8a677c58171c9a898b5953705d17cf0becd00661faec765089231d5d52d62e3ddd4843f808314714a525a16d8005045d0634e4662&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060841&lang=zh_CN&pass_ticket=bBA78nBZzTpaKTmAAaWvFQdsuIgbvpsAxFzrpcjvG4m%2BUxCwT%2BGe%2FlP1xh9fyATn

其他

廖雪峰AI面试资料 BaiduYun ps:uzj9

https://pan.baidu.com/s/10NL2yJxsBFjq8PP-wdBfuw
ps:uzj9

Solutions to Introduction to Algorithms Github

https://github.com/gzc/CLRS

CV 领域论文常见单词 zhihu

https://zhuanlan.zhihu.com/p/60049093

CV领域Paper论文常见单词 zhihu

https://zhuanlan.zhihu.com/p/58860096

Everything you need to know to get the job Github

https://github.com/kdn251/interviews

Everything you need to prepare for your technical interview Github

https://github.com/andreis/interview

Materials to help you rock your next coding interview Github

https://github.com/yangshun/tech-interview-handbook

机器学习

面试问题

机器学习面试算法梳理 Blog

https://www.cnblogs.com/tornadomeet/p/3395593.html

面试官如何判断面试者的机器学习水平 zhihu

https://www.zhihu.com/question/62482926

machine-learning-interview-questions Github

https://github.com/Sroy20/machine-learning-interview-questions

机器学习与深度学习面试问题总结 Blog

https://mp.weixin.qq.com/s?__biz=MzIxODM4MjA5MA==&mid=2247486331&idx=1&sn=abc69ee44d932dd7d6bc4bbef82045c8&chksm=97ea211ea09da808a546c4a6f485f45289fea2e69cddc95aaf16f06ddfb9c428ecf9d259c980&scene=0&key=f7bb43d4492422e0472e06f4faf0076f9d9de975e8a73050e15cd63f1f549a060f9018009aa9f1f5f19aa37f1408ecb3ea2be5b8464b4eae89884e1d881c91ebef20c84ea9198fed470f36016f54c30a&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=fLkIwHFJHv2%2FbP8RGzzYjXOZFDZBSwG0jwcmIEQhVi6CQoLDsa0PiCF8xoyKnPtI

机器学习面试复习资源 Github

https://github.com/wangyuGithub01/Machine_Learning_Resources

资料

Your new Mentor for Data Science E-Learning Github

https://github.com/clone95/Virgilio

王斌老师翻译的<机器学习实战>书python代码实现 Github

https://github.com/wzy6642/Machine-Learning-in-Action-Python3

PRML(python) Github

https://github.com/ctgk/PRML

李航博士<统计学习方法>一书中所有算法python实现 Github

https://github.com/WenDesi/lihang_book_algorithm

<统计学习方法>第二版的代码实现 Github

https://github.com/fengdu78/lihang-code

<机器学习>(西瓜书)公式推导解析 Github

https://github.com/datawhalechina/pumpkin-book

<数据科学实战>书代码 Github

https://github.com/oreillymedia/doing_data_science

机器学习实战(Python3) Github

https://github.com/Jack-Cherish/Machine-Learning

吴恩达讲授的机器学习 Coursera 163

https://www.coursera.org/learn/machine-learning

Solutions to Introduction to Algorithms Third Edition Github

https://github.com/walkccc/CLRS

Data-Science--Cheat-Sheet Github

https://github.com/abhat222/Data-Science--Cheat-Sheet

Data Science Crash Course Github

https://maria-antoniak.github.io/2018/11/19/data-science-crash-course.html

List of Data Science Cheatsheets to rule the world Github

https://github.com/FavioVazquez/ds-cheatsheets

Your new Mentor for Data Science E-Learning. Github

https://github.com/virgili0/Virgilio

Python3 入门机器学习 Github

https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms

DrWhy is the collection of tools for Explainable AI (XAI) Github

https://github.com/ModelOriented/DrWhy

Fit interpretable models. Explain blackbox machine learning. Github

https://github.com/jwasham/coding-interview-university

李宏毅《机器学习》笔记 Github

https://github.com/datawhalechina/leeml-notes

机器学习(Machine Learning) 深度学习(Deep Learning) NLP面试中常考到的知识点和代码实现 Github

https://github.com/NLP-LOVE/ML-NLP

代码实战

机器学习算法python实现 Github

https://github.com/lawlite19/MachineLearning_Python

100-Days-Of-ML-Code中文版 Github

https://github.com/MLEveryday/100-Days-Of-ML-Code

Homemade Machine Learning Github

https://github.com/trekhleb/homemade-machine-learning

Python codes for common Machine Learning Algorithms Github

https://github.com/susanli2016/Machine-Learning-with-Python

Machine-Learning-Study-Path-March-2019 Github

https://github.com/clone95/Machine-Learning-Study-Path-March-2019

The best resources in Machine Learning & AI Github Website

https://github.com/RemoteML/bestofml
https://bestofml.com/

AiLearning- ML、深度学习 Github

https://github.com/apachecn/AiLearning

A Machine Learning Course with Python Github

https://github.com/machinelearningmindset/machine-learning-course

Machine learning, in numpy Github

https://github.com/ddbourgin/numpy-ml

A complete computer science study plan to become a software engineer. Github

https://github.com/ddbourgin/numpy-ml

深度学习

面试

深度学习面试问题 Github

https://github.com/elviswf/DeepLearningBookQA_cn

2020年的算法实习岗位信息表，部分包括内推码，和常见深度学习算法岗面试题及答案 Github

https://github.com/HarleysZhang/2019_algorithm_intern_information

Deep Learning Interview 深度学习面试题目汇总 Github

https://github.com/ShanghaiTechAIClub/DLInterview

深度学习面试要点总结(面试题) zhihu

https://zhuanlan.zhihu.com/p/62935978

自己整理的一点和深度学习相关的面试考点

https://zhuanlan.zhihu.com/p/48374690

资料

深度神经网络实战技巧 Blog

https://mp.weixin.qq.com/s?__biz=MzIxODM4MjA5MA==&mid=2247487319&idx=2&sn=35c275493f2c76a557cd5d95cbe728cc&chksm=97ea2532a09dac24d4acee0d38f6f91eee5b27ae0b0396a6186a30e26c2c515fae520013f194&mpshare=1&scene=24&srcid=0915AM36f3jIiv2An5onyGRI&key=026f558c5690f871f52a7864e791811c82fe8d67d1c3604a334a8f8a39c252cbcc03ace1a17af46a7d29333921ca82b635602f95a20b530b7e2ceb2ea411cd1e4867ece5bb7c7307ac3407bf450794e1&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=fLkIwHFJHv2%2FbP8RGzzYjXOZFDZBSwG0jwcmIEQhVi6CQoLDsa0PiCF8xoyKnPtI

深度学习从入门到进阶的12个经典问题及解答 Blog

https://mp.weixin.qq.com/s?__biz=MzU1NDA4NjU2MA==&mid=2247489949&idx=2&sn=47ed40dd141c8321bb2478d64b3ec403&chksm=fbe9a052cc9e29447d99413b4bc37adbde195185aa6383166224f9935f0d318d051dd07ccd0c&scene=0&key=5121627df01c7147efe8859959f4d20b73fba95c9371f7ac9d15490736e8e5d799c882d8e8ee86f2177feec1fed1ccbad55b8aa00ea12e7c5f11d9382dc158e587fdd3f670997b791ada4fbbe9bf81e3&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=fLkIwHFJHv2%2FbP8RGzzYjXOZFDZBSwG0jwcmIEQhVi6CQoLDsa0PiCF8xoyKnPtI

计算机视觉知识点总结 zhihu

https://zhuanlan.zhihu.com/p/58776542

图解人工智能 Github

https://okai.brown.edu/zh/index.html

awesome-deep-learning Github

https://github.com/ChristosChristofidis/awesome-deep-learning

深度学习500问 Github

https://github.com/scutan90/DeepLearning-500-questions

复旦大学邱锡鹏教授发布<神经网络与深度学习>

Github书 https://github.com/nndl/nndl.github.io
Github示例代码 https://github.com/nndl/nndl-codes
Github课程练习 https://github.com/nndl/exercise

伯克利课程 <动手学深度学习>

Github https://github.com/d2l-ai/d2l-zh
课程主页 http://courses.d2l.ai/berkeley-stat-157/
bilibili https://space.bilibili.com/209599371/channel/detail?cid=23541
课件和习题 https://github.com/d2l-ai/berkeley-stat-157
英文版 http://d2l.ai/
中文版 http://zh.d2l.ai/
PyTorch 版 https://github.com/dsgiitr/d2l-pytorch

<深度学习理论与实战：提高篇> Github

http://fancyerii.github.io/2019/03/14/dl-book/

Awesome_Computer_Vision Github

https://github.com/ahong007007/Awesome_Computer_Vision

Deep-Learning-Papers-Reading-Roadmap Github

https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap

神经网络讲解视频

YouTube https://youtu.be/aircAruvnKk?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
bilibili http://space.bilibili.com/88461692/#/

神经网络和深度学习的在线书籍

website http://neuralnetworksanddeeplearning.com/
chinese https://tigerneil.gitbooks.io/neural-networks-and-deep-learning-zh/content/

花书 Deep Learning 中文版 Github

https://github.com/exacity/deeplearningbook-chinese

Open AI Blog website

https://blog.openai.com/

Distill Blog website

https://distill.pub/

BAIR 博客 website

http://bair.berkeley.edu/blog/

DeepMind 博客 website

https://deepmind.com/blog/?category=research

Andrej Karpathy的博客 website

http://karpathy.github.io/

Christopher Olah的博客 website

http://colah.github.io/

WildML Blog website

http://www.wildml.com/

Ruder的博客 website

http://ruder.io/

FAIR博客 website

https://research.fb.com/blog/

inFERENCe Blog website

http://www.inference.vc/

Andrew Trask的博客 website

http://iamtrask.github.io/

Graduate Descent Blog website

http://timvieira.github.io/blog/

Adit Deshpande的博客 website

https://adeshpande3.github.io/

ML/DL学习笔记（基础+论文） Github

https://github.com/lartpang/Machine-Deep-Learning

深度神经网络中的一些模型进行统一的图示 Github

https://github.com/weslynn/AlphaTree-graphic-deep-neural-network

five-days deep learning

website https://mlelarge.github.io/dataflowr-web/cea_edf_inria.html
Github https://github.com/mlelarge/dataflowr

Learn_Computer_Vision Github

https://github.com/llSourcell/Learn_Computer_Vision

Explaining the Math of how neural networks learn Github

https://github.com/omar-florez/scratch_mlp

(微软) AI-神经网络基本原理简明教程 Github

https://github.com/microsoft/ai-edu/tree/master/

深度学习手册 BaiduYun pw:dy6h

https://pan.baidu.com/s/1ew3aVZizVkPVKUFx2AtDjw
pw:dy6h

An educational resource to help anyone learn deep reinforcement learning Github

https://github.com/openai/spinningup

Technical Notes On Using Data Science & Artificial Intelligence website

https://chrisalbon.com/

代码实战Pytorch

pytorch

Github https://github.com/pytorch/pytorch
Website https://pytorch.org/

Offical pytorch examples Github

https://github.com/pytorch/examples

Offical pytorch tutorials Github

https://github.com/pytorch/tutorials

stanford-cs-230-deep-learning Github

https://github.com/afshinea/stanford-cs-230-deep-learning

practicalAI Github

https://github.com/GokuMohandas/practicalAI

PyTorch中文手册 Github

https://github.com/zergtant/pytorch-handbook

<深度学习框架PyTorch：入门与实践>的对应代码 Github

https://github.com/chenyuntc/pytorch-book

code-of-learn-deep-learning-with-pytorch Github

https://github.com/L1aoXingyu/code-of-learn-deep-learning-with-pytorch

Awesome-pytorch-list Github

https://github.com/bharathgs/Awesome-pytorch-list

<Pytorch模型训练实用教程>中配套代码 Github

https://github.com/tensor-yu/PyTorch_Tutorial

An unofficial styleguide and best practices summary for PyTorch Github

https://github.com/IgorSusmelj/pytorch-styleguide

fast.ai Computational Linear Algebra course Github

https://github.com/fastai/numerical-linear-algebra

Awesome-PyTorch-Chinese Github

https://github.com/INTERMT/Awesome-PyTorch-Chinese

Build-an-AI-Startup-with-PyTorch Github

https://github.com/llSourcell/Build-an-AI-Startup-with-PyTorch

代码实战TensorFlow

TensorFlow-From-Zero-To-One Github

https://github.com/amusi/TensorFlow-From-Zero-To-One

tensorflow2中文教程 Github

https://github.com/czy36mengfei/tensorflow2_tutorials_chinese

Tensorflow2教程 Github

https://zhuanlan.zhihu.com/c_1091021863043624960

Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2 Github

https://github.com/ageron/handson-ml2

TensorFlow 中文资源全集 Gitee

https://gitee.com/fendouai/Awesome-TensorFlow-Chinese

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course Github

https://github.com/ageron/tf2_course

网课

斯坦福CS231n李飞飞计算机视觉网易云课堂

https://study.163.com/course/courseMain.htm?courseId=1003223001

统计机器学习网易云课堂

https://study.163.com/course/courseMain.htm?courseId=1692004

机器学习导论网易云课堂

https://study.163.com/course/courseMain.htm?courseId=1694003

吴恩达深度学习工程师网易云课堂

https://mooc.study.163.com/smartSpec/detail/1001319001.htm

计算机视觉基础入门课程（从算法到实战应用） AI研习社

http://www.mooc.ai/course/353

卡耐基梅隆大学 2018 秋季《深度学习导论》 AI研习社

http://www.mooc.ai/course/562

CS224n 斯坦福深度自然语言处理课 AI研习社

http://www.mooc.ai/course/494

2018 MIT 6.S094 麻省理工深度学习和自动驾驶课程 AI研习社

http://www.mooc.ai/course/483

Deep Learning: Advanced Computer Vision udemy

https://www.udemy.com/advanced-computer-vision/

Computer Vision Certification by State University of New York coursera

https://www.coursera.org/specializations/computervision

Convolutional Neural Networks coursera

https://www.coursera.org/learn/convolutional-neural-networks

Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs udemy

https://www.udemy.com/course/computer-vision-a-z/

吴恩达的深度学习专项系列课程(Deep Learning Specialization)

Coursera https://www.coursera.org/specializations/deep-learning
163 https://mooc.study.163.com/smartSpec/detail/1001319001.htm/

CS231n

http://cs231n.stanford.edu/

CS224n

http://web.stanford.edu/class/cs224n/

斯坦福公开课程：概率和统计'Probability and Statistics' website

https://online.stanford.edu/courses/gse-yprobstat-probability-and-statistics

MIT公开课线性代数'Linear Algebra' website

https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/

Fastai推出的2019年面向程序员的深度学习实战课程'Practical Deep Learning for Coders, v3' website website

https://course.fast.ai/
https://www.bilibili.com/video/av41718196/

斯坦福机器学习课程'Machine Learning(Coursera)' coursera

https://www.coursera.org/learn/machine-learning

斯坦福概率图模型专项课程'Probabilistic Graphical Models Specialization(Coursera)' coursera

https://www.coursera.org/specializations/probabilistic-graphical-models

DeepMind强化学习导论课程'Introduction to Reinforcement Learning'

bilibili https://www.bilibili.com/video/av24060851/
youtube https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ

全栈深度学习训练营(课程视频)：为熟悉深度学习基础知识的开发人员提供的实践指导课程'Full Stack Deep Learning Bootcamp'

Github https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project
bilibili https://www.bilibili.com/video/av49643298
website https://fullstackdeeplearning.com/march2019

跟顶级Kagglers学习如何赢取数据科学竞赛'How to Win a Data Science Competition: Learn from Top Kagglers (Coursera)' coursera

https://www.coursera.org/learn/competitive-data-science

CS188伯克利<人工智能导论>课程'BerkeleyX: CS188.1x Artificial Intelligence'

bilibili https://www.bilibili.com/video/av39489278/
website https://inst.eecs.berkeley.edu/~cs188/fa18/

Fast.ai发布的课程：从零开始学深度学习'Deep Learning from the Foundations' website

https://www.fast.ai/2019/06/28/course-p2v3/

CS230斯坦福深度学习课程(2018 年秋)'CS230: Deep Learning | Autumn 2018'

bilibili https://www.bilibili.com/video/av47055599/
youtube https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb

deeplearning.ai上线的TensorFlow实践课程'TensorFlow in Practice' website

https://www.deeplearning.ai/tensorflow-in-practice/

MIT的Python机器学习课程'Machine Learning with Python-From Linear Models to Deep Learning' website

https://www.edx.org/course/machine-learning-with-python-from-linear-models-to-deep-learning

斯坦福CS224U自然语言理解课程'CS224U：Natural Language Understanding' website

http://web.stanford.edu/class/cs224u/index.html

陈蕴侬应用深度学习'107 Spring - Applied Deep Learning, Taiwan University'

bilibili https://www.bilibili.com/video/av46656764/
website https://www.csie.ntu.edu.tw/~miulab/s107-adl/

台大林轩田老师<机器学习基石>课程 bilibili https://www.bilibili.com/video/av12463015/
台大林轩田老师课程<机器学习技法>课程 bilibili https://www.bilibili.com/video/av12469267/
NTU大学李宏毅最新机器学习课程(2019) website http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML19.html

C/C++

C/C++面试基础知识总结 Github

https://github.com/huihut/interview

常见C++笔试面试题整理 zhihu

https://zhuanlan.zhihu.com/p/69999591

C/C++问题总结 Github

https://github.com/linw7/Skill-Tree/blob/master/%E7%BC%96%E7%A8%8B%E8%AF%AD%E8%A8%80C++.md

Leetcode 题解代码仓(C++) Github

https://github.com/liuyubobobo/Play-Leetcode

LeetCode, HackRank, 剑指offer, classic algorithm implementation (C++) Github

https://github.com/knightsj/awesome-algorithm-question-solution

Data Structure and Algorithm notes数据结构与算法/leetcode/lintcode题解 Github

https://github.com/billryan/algorithm-exercise

learnOpencv Github

https://github.com/spmallick/learnopencv

Solutions to Introduction to Algorithms Third Edition

Github https://github.com/walkccc/CLRS/
Blog https://walkccc.github.io/CLRS/

LeetCode动画 Github

https://github.com/MisterBooo/LeetCodeAnimation

leetcode题解，记录自己的leetcode解题之路 Github

https://github.com/azl397985856/leetcode

剑指offer第二版 BaiduYun

https://pan.baidu.com/s/1wU-8q3Mqvr3x6Et8t77Chg

<算法导论>的C++实现代码 Github

https://github.com/huaxz1986/cplusplus-_Implementation_Of_Introduction_to_Algorithms

数据结构和算法必知必会的50个代码实现 Github

https://github.com/wangzheng0822/algo

Play Leetcode with different Programming language Github

https://github.com/luliyucoordinate/Leetcode

leetcode Github

https://github.com/azl397985856/leetcode

algorithm-visualizer Github

https://github.com/algorithm-visualizer/algorithm-visualizer

基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像 Github

https://github.com/gloomyfish1998/opencv_tutorial

LeetCode solutions in C++ 11 and Python3 Github

https://github.com/pezy/LeetCode

Python

关于Python的面试题1 Github

https://github.com/taizilongxu/interview_python

关于Python的面试题2 Github

https://github.com/kenwoodjw/python_interview_question

LeetCode, HackRank, 剑指offer, classic algorithm implementation (Python) Github

https://github.com/apachecn/awesome-algorithm

剑指offer（python版）/ 算法图解 / python基础 / 数据结构 Github

https://github.com/weixianglin/oh-my-python

算法面试题python Github

https://github.com/leeguandong/Interview-code-practice-python

All Algorithms implemented in Python Github

https://github.com/TheAlgorithms/Python

Improve your Python by fixing errors Github

https://github.com/qxf2/wtfiswronghere

wtfpython的中文翻译 Github

https://github.com/leisurelicht/wtfpython-cn

python中文库-python人工智能大数据自动化接口测试开发。书籍下载及python库汇总 Github

https://github.com/china-testing/python-api-tesing

Python面试都在这里了【315+道题】 Blog

https://github.com/ethan-funny/explore-python

The Beauty of Python Programming Github

https://github.com/jackfrued/Python-100-Days

Python - 100天从新手到大师 Github

https://github.com/jackfrued/Python-100-Days

在 Windows 上使用 Python 进行开发 Blog

https://github.com/vinta/awesome-python

A curated list of awesome Python frameworks, libraries, software and resources Github

https://github.com/vinta/awesome-python

竞赛/比赛

kaggle数据科学竞赛

https://tianchi.aliyun.com/competition/gameList/activeList

阿里云天池比赛

https://challenger.ai/?lan=zh

AI Challenger

https://challenger.ai/?lan=zh

和鲸HeyWhale/科赛AI竞赛平台

https://www.kesci.com/home/competition

FlyAI竞赛平台

https://aistudio.baidu.com/aistudio/#/competition

BaiduAI竞赛

http://www.dcjingsai.com/static_page/cmpList.html

DC竞赛

http://www.dcjingsai.com/static_page/cmpList.html

DataFountain竞赛

https://signate.jp/competitions

日本SIGNATE竞赛

https://signate.jp/competitions

Awesome-AI-competitions

https://github.com/HuangCongQing/AI_competitions

Driven Data

https://www.drivendata.org/competitions/

CrowdANALYTIX

https://www.innocentive.com/our-solvers/

InnoCentive

https://www.innocentive.com/our-solvers/

TunedIT Challenges

https://competitions.codalab.org/

CodaLab

https://datahack.analyticsvidhya.com/?utm_source=main-logo

Analytics Vidhya

https://www.crowdai.org/challenges

crowdAI

https://www.datasciencechallenge.org/

Data Science Challenges

https://www.datasciencechallenge.org/

简历/模板

Awesome Resume for Chinese Github

https://github.com/amusi/AI-Job-Resume

AI算法岗简历模板 Github

https://github.com/amusi/AI-Job-Resume

个人简历模板 Github

https://github.com/ikym/resume

其他

博士生在没有导师指导的情况下，该如何自己选题发 CVPR zhihu

https://www.zhihu.com/question/64566768

专为程序员编写的英语学习指南 Github

https://github.com/yujiangshui/A-Programmers-Guide-to-English

awesome-interview-questions Github

https://github.com/MaximAbramchuck/awesome-interview-questions

Startups about artificial intelligence. (DM, ML, NLP, CV...) Github

https://github.com/majikarp/awesome-programming-books#id-section2

Awesome Programming Books Github

https://github.com/1c7/crash-course-computer-science-chinese

计算机速成课(全40集) Github

https://github.com/1c7/crash-course-computer-science-chinese

清华大学计算机系课程攻略 Github

https://github.com/PKUanonym/REKCARC-TSC-UHT

北京大学课程资料整理 Github

https://github.com/USTC-Resource/USTC-Course

中国科学技术大学课程资源 Github

https://github.com/USTC-Resource/USTC-Course

上海交通大学课程资料分享 Github

https://github.com/QSCTech/zju-icicles

浙江大学课程攻略共享计划 Github

https://github.com/24OI/OI-wiki

编程竞赛 OI Wiki Github

https://github.com/jwasham/coding-interview-university

A complete computer science study plan to become a software engineer. Github

https://github.com/dipakkr/A-to-Z-Resources-for-Students

Curated list of resources for college students Github

https://github.com/dipakkr/A-to-Z-Resources-for-Students

-END-

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