算法工程师常见面试问题及相关资料汇总

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

编辑：数据派THU 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://bit.ly/2n6xJNw
• 面试经验AI算法工程师(面试官角度) website
  • https://bit.ly/2nLRaLX
• 从零基础到BAT算法岗SP——秋招准备攻略 website
  • https://bit.ly/2luBZpw
• 蚂蚁金服/旷视/虹软/腾讯优图暑期实习offer面经 website
  • https://bit.ly/2nGEeXy
• 我在美团的这两年（附校招笔试/面试/面经分享） website
  • ttps://bit.ly/2lyxQ3Y
  • 1000 面试题，BAT 机器学习面试刷题宝典！website
  • https://bit.ly/2nKXnHZ
• 如何拿到自己满意的offer？website
  • https://bit.ly/2nGFnOQ
• 机器学习与深度学习常见面试题（上） website
  • https://bit.ly/2nDAG8q
• 机器学习与深度学习常见面试题（下） website
  • https://bit.ly/2mfFLU5
• 完备的 AI 学习路线，最详细的资源整理！website
  • https://bit.ly/2nE3m15
• 蚂蚁金服面经（已拿 Offer） website
  • https://bit.ly/2m4Fzaq
• 30家企业海投，10余家offer，我的漫漫秋招之旅 website
  • https://bit.ly/2lyjwsb
• BAT 三连挂是什么体验？硕士小姐姐讲述心酸血泪史！website
  • https://bit.ly/2nJmWcl
• 数据科学&机器学习基础面试题 website
  • https://bit.ly/2lBuRYH
• 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://bit.ly/2nMscvZ
• 面经 | 挂两次腾讯面试的春招教训 website
  • https://bit.ly/2n6MzDG
• Face++公司 - 两轮技术面试面经 website
  • https://bit.ly/2mdCHb9
• 秋招面经 | 旷视科技算法岗秋招面试经验分享 website
  • https://bit.ly/2lCy8qE
• 面经+经验分享|2019秋招算法岗复盘 website
  • https://bit.ly/2mfZi6P
• 专科生阿里大数据一面面经(已过) website
  • https://bit.ly/2lDzbqm
• 2019秋招算法岗复盘 website
  • https://bit.ly/2nGprMt
• 我面试了10家算法公司，这是我能记住的所有问题 website
  • https://bit.ly/2lyC2AJ
• 计算机视觉算法工程师（旷视、商汤、智云、海康）面试总结 website
  • https://bit.ly/2nbjZAW
• 秋招面经 | 滴滴20校招CV算法岗面试经验分享(三面） website
  • https://bit.ly/2ncyt3u
• 八家国企大数据面经(干货，详细答案) website
  • https://bit.ly/2ndSxT9

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://bit.ly/2mgUSfY
• 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://bit.ly/2nJvQXj
• 深度学习从入门到进阶的12个经典问题及解答 Blog
  • https://bit.ly/2lBD0ML
• 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