来源：专知
本文约9800字，建议阅读20分钟。
本文为你介绍算法工程师面试问题及相关资料集锦，相当全面，值得收藏。
目录算法工程师
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：
/lcylmhlcy/Awesome-algorithm-interview算法工程师
Github
算法/深度学习/NLP面试笔记Github
/imhuay/Algorithm_Interview_Notes-Chinese
算法工程师面试Github
/PPshrimpGo/AIinterview
届秋招面经集合Github
/zslomo/-Autumn-recruitment-experience
技术面试必备基础知识Github
/CyC/CS-Notes
AI算法岗求职攻略Github(amusi)
/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
/xiaole0310/interview-
（面试算法练级攻略）-（LeetCode题解）-（剑指offer题解）」Github
/guokaide/algorithm
MVision-awesomeGithub
/Ewenwan/MVision
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
/HarleysZhang/_algorithm_intern_information
Daily InterviewGithub
/datawhalechina/Daily-interview
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
/0voice/interview_internal_reference
牛客网旷视19届春招-算法研究员-凉经nowcoder/discuss/167336腾讯算法实习面试总结nowcoder/discuss/163996春招详细算法面经(旷视/海康/联影等8家公司Offer)nowcoder/discuss/163388普通的算法/机器学习面经nowcoder/discuss/6190720届-视觉算法-暑期实习nowcoder/discuss/173292字节跳动实习算法岗面经nowcoder/discuss/174565阿里腾讯虎牙机器学习算法面经nowcoder/discuss/175759字节跳动图形图像算法实习面经nowcoder/discuss/178153拼多多算法实习生面经nowcoder/discuss/177911算法岗面经传送门nowcoder/discuss/180976面经（腾讯AI Lab，阿里达摩院，华为等公司大集合）nowcoder/discuss/180087cv岗面经nowcoder/discuss/159266小菜鸡的算法实习面经nowcoder/discuss/181770机器学习/算法校招面试考点汇总nowcoder/discuss/165930计算机视觉暑期实习面经nowcoder/discuss/186000算法岗面经（阿里云,1,2,3，交叉，hr面）nowcoder/discuss/172079春招实习面经（cv算法岗）nowcoder/discuss/183555双非本硕算法陪跑面经nowcoder/discuss/186247春招科大讯飞，华为，神策数据，今日头条面经nowcoder/discuss/75136?type=2&order=3&pos=254&page=1届渣硕春招实习总结-算法岗（计算机视觉）nowcoder/discuss/186113爱奇艺深度学习算法实习生面经nowcoder/discuss/185614阿里，旷视，亚马逊，谷歌面经nowcoder/discuss/172693算法菜鸟的春招之路nowcoder/discuss/188295机器学习算法面经（腾讯阿里网易）nowcoder/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/discuss/192689?type=2机器学习/数据挖掘岗秋招总结nowcoder/discuss/138721算法面经（阿里、腾讯、美团等）nowcoder/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/discuss/106725春招（附面经）nowcoder/discuss/79729计算机视觉算法岗面经nowcoder/discuss/128148机器学习算法面经---秋招nowcoder/discuss/3阿里&腾讯春招算法面经nowcoder/discuss/198290?type=2&order=3&pos=7&page=1阿里暑期实习六面面经nowcoder/discuss/180007计算机视觉算法岗面经nowcoder/discuss/128148阿里 达摩院 cv 算法 面经nowcoder/discuss/216797算法工程师面经 寒拼蘑腾作网网3 附答案nowcoder/discuss/231656搜狗算法面经nowcoder/discuss/231973商汤20校招CV算法研究员面经(三面+HR面)nowcoder/discuss/209857作业帮/寒武纪/商汤/科大讯飞面经nowcoder/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/discuss/241988算法秋招上岸了，大家加油，我先撤了（附所有面经）nowcoder/discuss/244979
知乎
算法工程师必须要知道的面试技能雷达图zhihu
/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
/question/272045026/answer/366665187
字节跳动计算机视觉算法实习生视频面试zhihu
/p/59270912
秋招算法面经zhihu
/p/42936891
CVTE视觉计算岗实习面经zhihu
/p/59223324
互联网公司最常见的面试算法题有哪些？zhihu
/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
/question/293700785
个人博客AI算法工程师手册Blog/小米面试总结Bloghttps://wx.qnmlgb.tech/articles/5c55c999ce56ab804b1526cd/百度/商汤AI面试CSDN/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/ML_SDD/article/details/84986528CV计算机论文速览CSDN/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./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./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./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./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./s?__biz=MzIwOTc2MTUyMg==&mid=2247488886&idx=2&sn=492332b20d3cea34f1abc6db3bb8cbc0&chksm=976fb0eba01839fd0a3d5008ef3f9856497c81ccd7b24b54f6704cbb214c5b1c63e1994bae9e&scene=0&xtrack=1&key=06b9089f8b38a19dc3401b357b8353893a940dacc033638bccf49fc5b677804c8eaa3a092642351bbe1946e51434390c2505086c24b7e53656d5d496007a8621d2bbaf70a1127653009d9b76b3f5&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
https://mp./s?__biz=MzU0OTU5OTI4MA==&mid=2247486469&idx=2&sn=14b701639794e67cc63bedea8d2870cb&chksm=fbac2d5accdba44c4930c42ee7c191d0a166c3b3cc8c5e2fa3efe6ed26a992b0cb6283a8114c&scene=0&xtrack=1&key=5121627df01c7147226b38275cec75014ec9b754942505b403947722cb8b7aea53b720546e71ea5d22312783c452de71448362f615081904c0c79cd401fb35fc5334f2a30b4f1ca1a7ddc764eea39116&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=UT934CWNmZoDZ1lVhvHOGEFisJUlIxDGPpY73e7nut1e18SYmUgrBd5XY3S4u28F
如何拿到自己满意的offer？website
https://mp./s?__biz=MzIxOTczOTM4NA==&mid=2247486735&idx=1&sn=73d5b1f2daed2f84ebdfbb8b24040378&chksm=97d7e898a0a0618e94727f87742ef25a058adfa4b122936d1699f3bc58d7f4c2c9066fc616e3&mpshare=1&scene=24&srcid=01048c6NLyyTF2KFsmufQUmu&key=5aa6b6fc7e8425bd2c56dc2d40e38a5420421b970c3032c6a10340aafea634d628efc581ea514113bb3aa32ced5bd66622e00628fc4ab073d3cf26dc370b82f26d7d5fdd5183337e2fa81cf2fbc4c396&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=fLkIwHFJHv2%2FbP8RGzzYjXOZFDZBSwG0jwcmIEQhVi6CQoLDsa0PiCF8xoyKnPtI
机器学习与深度学习常见面试题（上）website
https://mp./s?__biz=MzUxNjcxMjQxNg==&mid=2247488694&idx=1&sn=167b8b9897165d3dcb285ffd12ff7aef&chksm=f9a26639ced5ef2ff2317437f5e4bd99ca8ed5d63378df591c8d654656bb7e2e8b262406d746&mpshare=1&scene=24&srcid=0428SfDKuYmDLZAmwecrlang&key=9a1004c4c06b26acf767311bd48d12abe9c4f22d623717fdf4c7c360532478e73b3c6283e549b97aba7f87bddf518c1e273bc4148f28ed46714e24760a11a2f57aaa6d36454cd29c631c5d0b21d298c0&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=iqu0jGzZHsjPTDJlLkm0O7uj41FuEikyiBNBZJTYuu65wgzAYk%2Bp3HNofRkaEx1J
机器学习与深度学习常见面试题（下）website
https://mp./s?__biz=MzUxNjcxMjQxNg==&mid=2247488889&idx=1&sn=ac728edf471bcd01e62132f930b14ee3&chksm=f9a267f6ced5eee02d48255208056e2c21b6403a9b00e7ae197b7d3c85e2862a6e607009bc99&scene=0&xtrack=1&key=f7bb43d4492422e0ae8fea0c881639406030f4097e3d118f315e35dcc3e33a7658535cf021dfaf606112db121d98695883fc1bc96e0f411e30e2245ebc95c6a659fa8cf4395fab1cd78593f782063cf8&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=iqu0jGzZHsjPTDJlLkm0O7uj41FuEikyiBNBZJTYuu65wgzAYk%2Bp3HNofRkaEx1J
完备的 AI 学习路线，最详细的资源整理！website
https://mp./s?__biz=MzIwOTc2MTUyMg==&mid=2247488932&idx=1&sn=c827edbdff5cab57b1a5073cbb8569ef&chksm=976fb039a018392f4f6843ddd6677b9da8c321b68ac31ab974f958f00c7e80d027626d83d959&scene=0&xtrack=1&key=06b9089f8b38a19d2e2db06d5c6b94a0345d9e0b8d43b09a54ab6b8b469fd9c19eb67355f4912c2d83a95611e25848af0dac48119a087d173c1909ea1d9941670a4e6e4e481b5b1f20f0a207c899a125&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=iqu0jGzZHsjPTDJlLkm0O7uj41FuEikyiBNBZJTYuu65wgzAYk%2Bp3HNofRkaEx1J
蚂蚁金服面经（已拿 Offer）website
https://mp./s?__biz=MzIwOTc2MTUyMg==&mid=2247488943&idx=2&sn=ec0ab15e3363f7481aeb3389a04059ee&chksm=976fb032a0183924ffd8b0687a2ea2b5b09b7f87b972ae222aaf521670ef10ef0fcde13169bc&scene=0&xtrack=1&key=5aa6b6fc7e8425bd9a4faebdd50926d2310db700e77c01db295a61d7a1a82f1f208af244986bfce78e52ff3bc4c9b3b3f2136489288aeb12f5244086349e79cb3ee8da582754b5db259890358dd7a7e6&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=OZOmBOXgF7giDdzrtiEXJPsbtFeo%2Btdl1unYq481qxpY6Lb9R9%2BLn%2F9hY0ylNCn0
30家企业海投，10余家offer，我的漫漫秋招之旅website
https://mp./s?__biz=MzI5NDY1MjQzNA==&mid=2247489379&idx=3&sn=f8a11af787090f64e0ab90bca532b8ef&chksm=ec5ec81edb294108f348d3d16cec98241b181edff3d1410c6dcbfdf521d83c7cd999438c574b&scene=0&xtrack=1&key=5121627df01c7147ef35033f1af9bccbb1e31e4ccfd8dbe573c58f4089900066d7eb55d835548964bad0e6f56716f766b92505053a925e9f2696c20476226c00bdd5949a1d072fe1497335e35c1efd7e&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=UrazX6ReJtn1v8cE1ILgb8tYK6ts182gDPF0U5u640C1dpDy4DB2%2Ft9sU5PyteOB
BAT 三连挂是什么体验？硕士小姐姐讲述心酸血泪史！website
https://mp./s?__biz=MzIwOTc2MTUyMg==&mid=2247489196&idx=1&sn=5dfd26065bd8c1ff1cc9b43d3409aff1&chksm=976fb331a0183a2702db877ceab3786ed98a05e02681d051a7be31d8aff897b1c1a51b6d57ad&scene=0&xtrack=1&key=96e38258b65ecb9be54f6002a8d8c812dc8faf5cc224160eae5f2901a3284431f5fcbfb77fc2734e3777c3c1548352414a61e2dc8fc455f08f0c5c850de73d5a0c428b905f0db440f10ef765c6cacc64&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=eLoyWxAMmRP8tTN2FpKEZENTLtDXwjBWG5BgqeCrcHcqS31qaU47ROH3%2FW7pIZWt
数据科学&机器学习基础面试题website
https://mp./s?__biz=MzIyNjM2MzQyNg==&mid=2247484547&idx=2&sn=1f9cfeee41f80623edc493d293d4e1b8&chksm=e870d5cedf075cd886afbee37b79c85dce16f5ae43d300331c5f29e0d64c32b030b621beddaa&scene=0&xtrack=1&key=96e38258b65ecb9b9b652831c3f84574b2f25e7020610c534b933a65b3b61a0cd4a0db2b54d14a128c5e7e8136e59893ae61ee9c06580040a3c7fab669f919f48e749ca1d0f8be9f7295ffed179a4acc&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=M%2Bx4I8699jpuE4n781eOB5axXkLS0Mu7Zrtx6Vi8JsVQhUxr6%2F6aCUmOC8WZybav
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
https://mp./s?__biz=MzIwOTc2MTUyMg==&mid=2247489566&idx=2&sn=c80be1ba406ccebf43a46db80660a4f1&chksm=976fbd83a0183495acd5bfa788d2ea286eb04249693559309f72e0082e61fab57a3300604270&scene=0&xtrack=1&key=7fca267e209412d9b05c556b42b9a0fe270a7ed740b566281d6a3e47747e97719c66e9f6e9177328b90305a7c54d43a85e73d8eace23e076bb985468996179aa9caed02092d455a2536c605568ff1a75&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=j%2BeTr3gGhtYbB5BELmEqEDAsSEIlbJT1JSozWqEv2dcR7%2FxLFyvlo4SOAEZG3VMy
面经 | 挂两次腾讯面试的春招教训website
https://mp./s?__biz=MzI3NTUwNzMwNA==&mid=2247490123&idx=2&sn=d772fca22b24da33d2d37dcbd3e8ccf8&chksm=eb02eb4cdc75625a87587062c021fd55a0d52b661708fb8ea7ea2c45348aaf45612f5b5a67f1&scene=0&xtrack=1&key=c057d35eab709d255cd973af834e8e7fed12a361e2f9a7f994792b52fe5d0219e5b61ec11a0082ec6d688698b154581151a78facfedbc3e18bd93873a3b2a5262d11d9a9786af2e35e149c4e45048e25&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=iyLHjIA5wZnXmOS0ABLcY2XLov463bca6oRsGuW4BP5gLfODXfelBPUorCcfy5LY
Face++公司 - 两轮技术面试面经website
https://mp./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./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|秋招算法岗复盘website
https://mp./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./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
秋招算法岗复盘website
https://mp./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./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./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./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./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BaiduYunps:uzj9
/s/10NL2yJxsBFjq8PP-wdBfuw
ps:uzj9
Solutions to Introduction to AlgorithmsGithub
/gzc/CLRS
CV 领域论文常见单词zhihu
/p/60049093
CV领域Paper论文常见单词zhihu
/p/58860096
Everything you need to know to get the jobGithub
/kdn251/interviews
Everything you need to prepare for your technical interviewGithub
/andreis/interview
Materials to help you rock your next coding interviewGithub
/yangshun/tech-interview-handbook
机器学习面试问题
机器学习面试算法梳理Blog
/tornadomeet/p/3395593.html
面试官如何判断面试者的机器学习水平zhihu
/question/62482926
machine-learning-interview-questionsGithub
/Sroy20/machine-learning-interview-questions
机器学习与深度学习面试问题总结Blog
https://mp./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
/wangyuGithub01/Machine_Learning_Resources
资料
Your new Mentor for Data Science E-LearningGithub
/clone95/Virgilio
王斌老师翻译的<机器学习实战>书python代码实现Github
/wzy6642/Machine-Learning-in-Action-Python3
PRML(python)Github
/ctgk/PRML
李航博士<统计学习方法>一书中所有算法python实现Github
/WenDesi/lihang_book_algorithm
<统计学习方法>第二版的代码实现Github
/fengdu78/lihang-code
<机器学习>(西瓜书)公式推导解析Github
/datawhalechina/pumpkin-book
<数据科学实战>书代码Github
/oreillymedia/doing_data_science
机器学习实战(Python3)Github
/Jack-Cherish/Machine-Learning
吴恩达讲授的机器学习Coursera163
/learn/machine-learning
Solutions to Introduction to Algorithms Third EditionGithub
/walkccc/CLRS
Data-Science--Cheat-SheetGithub
/abhat222/Data-Science--Cheat-Sheet
Data Science Crash CourseGithub
https://maria-antoniak.github.io//11/19/data-science-crash-course.html
List of Data Science Cheatsheets to rule the worldGithub
/FavioVazquez/ds-cheatsheets
Your new Mentor for Data Science E-Learning.Github
/virgili0/Virgilio
Python3 入门机器学习Github
/liuyubobobo/Play-with-Machine-Learning-Algorithms
DrWhy is the collection of tools for Explainable AI (XAI)Github
/ModelOriented/DrWhy
Fit interpretable models. Explain blackbox machine learning.Github
/jwasham/coding-interview-university
李宏毅《机器学习》笔记Github
/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
/NLP-LOVE/ML-NLP
代码实战
机器学习算法python实现Github
/lawlite19/MachineLearning_Python
100-Days-Of-ML-Code中文版Github
/MLEveryday/100-Days-Of-ML-Code
Homemade Machine LearningGithub
/trekhleb/homemade-machine-learning
Python codes for common Machine Learning AlgorithmsGithub
/susanli/Machine-Learning-with-Python
Machine-Learning-Study-Path-March-Github
/clone95/Machine-Learning-Study-Path-March-
The best resources in Machine Learning & AIGithubWebsite
/RemoteML/bestofml
/
AiLearning- ML、深度学习Github
/apachecn/AiLearning
A Machine Learning Course with PythonGithub
/machinelearningmindset/machine-learning-course
Machine learning, in numpyGithub
/ddbourgin/numpy-ml
A complete computer science study plan to become a software engineer.Github
/ddbourgin/numpy-ml
深度学习面试
深度学习面试问题Github
/elviswf/DeepLearningBookQA_cn
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
/HarleysZhang/_algorithm_intern_information
Deep Learning Interview 深度学习面试题目汇总Github
/ShanghaiTechAIClub/DLInterview
深度学习面试要点总结(面试题)zhihu
/p/62935978
自己整理的一点和深度学习相关的面试考点
/p/48374690
资料
深度神经网络实战技巧Blog
https://mp./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./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
/p/58776542
图解人工智能Github
https://okai.brown.edu/zh/index.html
awesome-deep-learningGithub
/ChristosChristofidis/awesome-deep-learning
深度学习500问Github
/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/nndl/nndl.github.io
Github示例代码
/nndl/nndl-codes
Github课程练习
/nndl/exercise
伯克利课程 <动手学深度学习>
Github/d2l-ai/d2l-zh
课程主页http://courses.d2l.ai/berkeley-stat-157/
bilibili/209599371/channel/detail?cid=23541
课件和习题/d2l-ai/berkeley-stat-157
英文版http://d2l.ai/
中文版http://zh.d2l.ai/
PyTorch 版/dsgiitr/d2l-pytorch
<深度学习理论与实战：提高篇> Github
http://fancyerii.github.io//03/14/dl-book/
Awesome_Computer_VisionGithub
/ahong007007/Awesome_Computer_Vision
Deep-Learning-Papers-Reading-RoadmapGithub
/floodsung/Deep-Learning-Papers-Reading-Roadmap
神经网络讲解视频
YouTubehttps://youtu.be/aircAruvnKk?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
bilibili/88461692/#/
神经网络和深度学习的在线书籍
website/
chinesehttps://tigerneil.gitbooks.io/neural-networks-and-deep-learning-zh/content/
花书 Deep Learning 中文版Github
/exacity/deeplearningbook-chinese
Open AI Blogwebsite
/
Distill Blogwebsite
https://distill.pub/
BAIR 博客website
http://bair.berkeley.edu/blog/
DeepMind 博客website
/blog/?category=research
Andrej Karpathy的博客website
http://karpathy.github.io/
Christopher Olah的博客website
http://colah.github.io/
WildML Blogwebsite
/
Ruder的博客website
http://ruder.io/
FAIR博客website
/blog/
inFERENCe Blogwebsite
http://www.inference.vc/
Andrew Trask的博客website
http://iamtrask.github.io/
Graduate Descent Blogwebsite
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
/lartpang/Machine-Deep-Learning
深度神经网络中的一些模型 进行统一的图示Github
/weslynn/AlphaTree-graphic-deep-neural-network
five-days deep learning
websitehttps://mlelarge.github.io/dataflowr-web/cea_edf_inria.html
Github /mlelarge/dataflowr
Learn_Computer_VisionGithub
/llSourcell/Learn_Computer_Vision
Explaining the Math of how neural networks learnGithub
/omar-florez/scratch_mlp
(微软) AI-神经网络基本原理简明教程Github
/microsoft/ai-edu/tree/master/
深度学习手册BaiduYunpw:dy6h
/s/1ew3aVZizVkPVKUFx2AtDjw
pw:dy6h
An educational resource to help anyone learn deep reinforcement learningGithub
/openai/spinningup
Technical Notes On Using Data Science & Artificial Intelligencewebsite
/
代码实战Pytorch
pytorch
Github/pytorch/pytorch
Website/
Offical pytorch examplesGithub
/pytorch/examples
Offical pytorch tutorialsGithub
/pytorch/tutorials
stanford-cs-230-deep-learningGithub
/afshinea/stanford-cs-230-deep-learning
practicalAIGithub
/GokuMohandas/practicalAI
PyTorch中文手册Github
/zergtant/pytorch-handbook
<深度学习框架PyTorch：入门与实践>的对应代码 Github
/chenyuntc/pytorch-book
code-of-learn-deep-learning-with-pytorchGithub
/L1aoXingyu/code-of-learn-deep-learning-with-pytorch
Awesome-pytorch-listGithub
/bharathgs/Awesome-pytorch-list
<Pytorch模型训练实用教程>中配套代码Github
/tensor-yu/PyTorch_Tutorial
An unofficial styleguide and best practices summary for PyTorchGithub
/IgorSusmelj/pytorch-styleguide
fast.ai Computational Linear Algebra courseGithub
/fastai/numerical-linear-algebra
Awesome-PyTorch-ChineseGithub
/INTERMT/Awesome-PyTorch-Chinese
Build-an-AI-Startup-with-PyTorchGithub
/llSourcell/Build-an-AI-Startup-with-PyTorch
代码实战TensorFlow
TensorFlow-From-Zero-To-OneGithub
/amusi/TensorFlow-From-Zero-To-One
tensorflow2中文教程Github
/czy36mengfei/tensorflow2_tutorials_chinese
Tensorflow2教程Github
/c_1091021863043624960
Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2Github
/ageron/handson-ml2
TensorFlow 中文资源全集Gitee
/fendouai/Awesome-TensorFlow-Chinese
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" courseGithub
/ageron/tf2_course
网课
斯坦福CS231n李飞飞计算机视觉网易云课堂
/course/courseMain.htm?courseId=1003223001
统计机器学习网易云课堂
/course/courseMain.htm?courseId=169
机器学习导论网易云课堂
/course/courseMain.htm?courseId=1694003
吴恩达 深度学习工程师网易云课堂
https://mooc./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 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
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 Visionudemy
/advanced-computer-vision/
Computer Vision Certification by State University of New Yorkcoursera
/specializations/computervision
Convolutional Neural Networkscoursera
/learn/convolutional-neural-networks
Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANsudemy
/course/computer-vision-a-z/
吴恩达的深度学习专项系列课程(Deep Learning Specialization)
Coursera/specializations/deep-learning
163https://mooc./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-/
Fastai推出的面向程序员的深度学习实战课程'Practical Deep Learning for Coders, v3'websitewebsite
https://course.fast.ai/
/video/av41718196/
斯坦福机器学习课程'Machine Learning(Coursera)'coursera
/learn/machine-learning
斯坦福概率图模型专项课程'Probabilistic Graphical Models Specialization(Coursera)'coursera
/specializations/probabilistic-graphical-models
DeepMind强化学习导论课程'Introduction to Reinforcement Learning'
bilibili/video/av24060851/
youtube/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/full-stack-deep-learning/fsdl-text-recognizer-project
bilibili/video/av49643298
website/march
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
/learn/competitive-data-science
CS188伯克利<人工智能导论>课程'BerkeleyX: CS188.1x Artificial Intelligence'
bilibili /video/av39489278/
websitehttps://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//06/28/course-p2v3/
CS230斯坦福深度学习课程( 年秋)'CS230: Deep Learning | Autumn '
bilibili/video/av47055599/
youtube/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
/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/video/av46656764/
websitehttps://www.csie.ntu.edu.tw/~miulab/s107-adl/
台大林轩田老师<机器学习基石>课程bilibili/video/av12463015/
台大林轩田老师课程<机器学习技法>课程bilibili/video/av12469267/
NTU大学李宏毅最新机器学习课程()websitehttp://speech.ee.ntu.edu.tw/~tlkagk/courses_ML19.html
C/C++
C/C++面试基础知识总结Github
/huihut/interview
常见C++笔试面试题整理zhihu
/p/69999591
C/C++问题总结Github
/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
/liuyubobobo/Play-Leetcode
LeetCode, HackRank, 剑指offer, classic algorithm implementation (C++)Github
/knightsj/awesome-algorithm-question-solution
Data Structure and Algorithm notes数据结构与算法/leetcode/lintcode题解Github
/billryan/algorithm-exercise
learnOpencvGithub
/spmallick/learnopencv
Solutions to Introduction to Algorithms Third Edition
Github/walkccc/CLRS/
Bloghttps://walkccc.github.io/CLRS/
LeetCode动画Github
/MisterBooo/LeetCodeAnimation
leetcode题解，记录自己的leetcode解题之路Github
/azl397985856/leetcode
剑指offer第二版BaiduYun
/s/1wU-8q3Mqvr3x6Et8t77Chg
<算法导论>的C++实现代码Github
/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
/wangzheng0822/algo
Play Leetcode with different Programming languageGithub
/luliyucoordinate/Leetcode
leetcodeGithub
/azl397985856/leetcode
algorithm-visualizerGithub
/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
/gloomyfish1998/opencv_tutorial
LeetCode solutions in C++ 11 and Python3Github
/pezy/LeetCode
Python
关于Python的面试题1Github
/taizilongxu/interview_python
关于Python的面试题2Github
/kenwoodjw/python_interview_question
LeetCode, HackRank, 剑指offer, classic algorithm implementation (Python)Github
/apachecn/awesome-algorithm
剑指offer（python版）/ 算法图解 / python基础 / 数据结构Github
/weixianglin/oh-my-python
算法面试题pythonGithub
/leeguandong/Interview-code-practice-python
All Algorithms implemented in PythonGithub
/TheAlgorithms/Python
Improve your Python by fixing errorsGithub
/qxf2/wtfiswronghere
wtfpython的中文翻译Github
/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
/china-testing/python-api-tesing
Python面试都在这里了【315+道题】Blog
/ethan-funny/explore-python
The Beauty of Python ProgrammingGithub
/jackfrued/Python-100-Days
Python - 100天从新手到大师Github
/jackfrued/Python-100-Days
在 Windows 上使用 Python 进行开发Blog
/vinta/awesome-python
A curated list of awesome Python frameworks, libraries, software and resourcesGithub
/vinta/awesome-python
竞赛/比赛
kaggle数据科学竞赛
/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
/home/competition
FlyAI竞赛平台
/aistudio/#/competition
BaiduAI竞赛
/static_page/cmpList.html
DC竞赛
/static_page/cmpList.html
DataFountain竞赛
https://signate.jp/competitions
日本SIGNATE竞赛
https://signate.jp/competitions
Awesome-AI-competitions
/HuangCongQing/AI_competitions
Driven Data
/competitions/
CrowdANALYTIX
/our-solvers/
InnoCentive
/our-solvers/
TunedIT Challenges
/
CodaLab
/?utm_source=main-logo
Analytics Vidhya
/challenges
crowdAI
/
Data Science Challenges
/
简历/模板
Awesome Resume for ChineseGithub
/amusi/AI-Job-Resume
AI算法岗简历模板Github
/amusi/AI-Job-Resume
个人简历模板Github
/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 CVPRzhihu
/question/64566768
专为程序员编写的英语学习指南Github
/yujiangshui/A-Programmers-Guide-to-English
awesome-interview-questionsGithub
/MaximAbramchuck/awesome-interview-questions
Startups about artificial intelligence. (DM, ML, NLP, CV...)Github
/majikarp/awesome-programming-books#id-section2
Awesome Programming BooksGithub
/1c7/crash-course-computer-science-chinese
计算机速成课(全40集)Github
/1c7/crash-course-computer-science-chinese
清华大学计算机系课程攻略Github
/PKUanonym/REKCARC-TSC-UHT
北京大学课程资料整理Github
/USTC-Resource/USTC-Course
中国科学技术大学课程资源Github
/USTC-Resource/USTC-Course
上海交通大学课程资料分享Github
/QSCTech/zju-icicles
浙江大学课程攻略共享计划Github
/24OI/OI-wiki
编程竞赛 OI WikiGithub
/jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.Github
/dipakkr/A-to-Z-Resources-for-Students
Curated list of resources for college studentsGithub
/dipakkr/A-to-Z-Resources-for-Students
编辑：于腾凯校对：林亦霖
如果觉得《算法工程师面试问题及相关资料集锦（附链接）》对你有帮助，请点赞、收藏，并留下你的观点哦！
