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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 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 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 二、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 学习资料 Your new Mentor for Data Science E-Learning Github https://github.com/clone95/Virgilio 王斌老师翻译的书python代码实现 Github https://github.com/wzy6642/Machine-Learning-in-Action-Python3 PRML(python) Github https://github.com/ctgk/PRML 李航博士一书中所有算法python实现 Github https://github.com/WenDesi/lihang_book_algorithm 第二版的代码实现 Github https://github.com/fengdu78/lihang-code (西瓜书)公式推导解析 Github https://github.com/datawhalechina/pumpkin-book 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 三、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 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 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 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 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 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/ 台大林轩田老师课程 bilibili https://www.bilibili.com/video/av12463015/ 台大林轩田老师课程课程 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 四、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 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、C++、Java、Go四种编程语言的LeetCode题目解析 也可以在“知识星球——AI知识库”里找到! 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 六、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/ 七、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 八、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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