编辑：数据派THU

• 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

• 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
  
  

• 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

• 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

• 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

  • https://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

• 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

• 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

• 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

• 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

  • 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/

• 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

• 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

• 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++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

• 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

• 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/

• 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

• 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