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Title: GitHub - GaoCode/AI-Job-Notes: AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

Open Graph Title: GitHub - GaoCode/AI-Job-Notes: AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

X Title: GitHub - GaoCode/AI-Job-Notes: AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

Description: AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）. Contribute to GaoCode/AI-Job-Notes development by creating an account on GitHub.

Open Graph Description: AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）. Contribute to GaoCode/AI-Job-Notes development by creating an account on GitHub.

X Description: AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）. Contribute to GaoCode/AI-Job-Notes development by creating an account on GitHub.

Opengraph URL: https://github.com/GaoCode/AI-Job-Notes

X: @github

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	https://patch-diff.githubusercontent.com/GaoCode/AI-Job-Notes#2-准备攻略
	https://patch-diff.githubusercontent.com/GaoCode/AI-Job-Notes#3-刷题指南
《剑指Offer》	https://www.nowcoder.com/ta/coding-interviews
LeetCode	https://leetcode.com/
LeetCode 面试高频题	https://leetcode.com/problemset/top-interview-questions/
	https://patch-diff.githubusercontent.com/GaoCode/AI-Job-Notes#31-刷题编程语言
	https://patch-diff.githubusercontent.com/GaoCode/AI-Job-Notes#32-书籍推荐
《剑指Offer》	https://book.douban.com/subject/25910559/
《数据结构(C++语言版)》	https://book.douban.com/subject/25859528/
《算法图解》	https://book.douban.com/subject/26979890/
《大话数据结构》	https://book.douban.com/subject/6424904/
《算法》(第四版)	https://book.douban.com/subject/19952400/
	https://patch-diff.githubusercontent.com/GaoCode/AI-Job-Notes#33-在线刷题网站
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国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）	https://github.com/amusi/AI-Job-Recommend
Home - deeplearning.ai	https://www.deeplearning.ai/
Stanford University CS231n: Convolutional Neural Networks for Visual Recognition	http://cs231n.stanford.edu/
你现在应该阅读的7本最好的深度学习书籍	https://mp.weixin.qq.com/s/dK29_Jpx8ep3bz0dfePOJQ
Papers With Code : the latest in machine learning	https://paperswithcode.com/
国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）	https://github.com/amusi/AI-Job-Recommend
Home - deeplearning.ai	https://www.deeplearning.ai/
你现在应该阅读的7本最好的深度学习书籍	https://mp.weixin.qq.com/s/dK29_Jpx8ep3bz0dfePOJQ
GitHub - amusi/TensorFlow-From-Zero-To-One: 记录自己学习TensorFlow的笔记和代码	https://github.com/amusi/TensorFlow-From-Zero-To-One
GitHub - amusi/PyTorch-From-Zero-To-One: PyTorch从入门到精通	https://github.com/amusi/PyTorch-From-Zero-To-One
Stanford University CS231n: Convolutional Neural Networks for Visual Recognition	http://cs231n.stanford.edu/
Papers With Code : the latest in machine learning	https://paperswithcode.com/
https://github.com/amusi/CV-Jobs。尽量是大公司吧，比如微软亚洲研究院、百度、腾讯、头条、京东、爱奇艺等公司。这些公司都有AI研究院的，甚至可以参与发paper。加油！	https://github.com/amusi/CV-Jobs%E3%80%82%E5%B0%BD%E9%87%8F%E6%98%AF%E5%A4%A7%E5%85%AC%E5%8F%B8%E5%90%A7%EF%BC%8C%E6%AF%94%E5%A6%82%E5%BE%AE%E8%BD%AF%E4%BA%9A%E6%B4%B2%E7%A0%94%E7%A9%B6%E9%99%A2%E3%80%81%E7%99%BE%E5%BA%A6%E3%80%81%E8%85%BE%E8%AE%AF%E3%80%81%E5%A4%B4%E6%9D%A1%E3%80%81%E4%BA%AC%E4%B8%9C%E3%80%81%E7%88%B1%E5%A5%87%E8%89%BA%E7%AD%89%E5%85%AC%E5%8F%B8%E3%80%82%E8%BF%99%E4%BA%9B%E5%85%AC%E5%8F%B8%E9%83%BD%E6%9C%89AI%E7%A0%94%E7%A9%B6%E9%99%A2%E7%9A%84%EF%BC%8C%E7%94%9A%E8%87%B3%E5%8F%AF%E4%BB%A5%E5%8F%82%E4%B8%8E%E5%8F%91paper%E3%80%82%E5%8A%A0%E6%B2%B9%EF%BC%81
Home - deeplearning.ai	https://www.deeplearning.ai/
你现在应该阅读的7本最好的深度学习书籍	https://mp.weixin.qq.com/s/dK29_Jpx8ep3bz0dfePOJQ
GitHub - amusi/TensorFlow-From-Zero-To-One: 记录自己学习TensorFlow的笔记和代码	https://github.com/amusi/TensorFlow-From-Zero-To-One
GitHub - amusi/PyTorch-From-Zero-To-One: PyTorch从入门到精通	https://github.com/amusi/PyTorch-From-Zero-To-One
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）	https://github.com/amusi/AI-Job-Notes
国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）	https://github.com/amusi/AI-Job-Recommend
国内提供计算机视觉(CV)算法岗位的公司名单，欢迎大家提交issues进行补充	https://github.com/amusi/CV-Jobs
https://github.com/amusi/AI-Job-Resume	https://github.com/amusi/AI-Job-Resume
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）	https://github.com/amusi/AI-Job-Notes
国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）	https://github.com/amusi/AI-Job-Recommend
有没有一些图像处理新手可以练习的项目？ - 知乎	https://www.zhihu.com/question/269921460/answer/358712029
求职_内推_百度阿里腾讯网易谷歌小米笔试面试分享_牛客网_牛客网	https://www.nowcoder.com/recommend
讨论区_百度阿里腾讯网易京东谷歌小米笔试面试分享_牛客网	https://www.nowcoder.com/discuss
GitHub - amusi/AI-Job-Recommend: 国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）	https://github.com/amusi/AI-Job-Recommend
6 次 Kaggle 计算机视觉类比赛赛后感	https://mp.weixin.qq.com/s/XPD6S2MfSA_Y40VKsIUk3Q
100万奖金：六大热门赛题（含目标检测、场景文字识别和医学影像分析等方向）	https://mp.weixin.qq.com/s/fC0uwq3C3G4drG0XI7G71w
100万奖金：六大热门赛题（含目标检测、场景文字识别和医学影像分析等方向）	https://mp.weixin.qq.com/s/fC0uwq3C3G4drG0XI7G71w
Kaggle 入门指南 - 知乎	https://zhuanlan.zhihu.com/p/25742261
分分钟带你杀入Kaggle Top 1% - 知乎	https://zhuanlan.zhihu.com/p/27424282
6次Kaggle计算机视觉类比赛赛后感 - 知乎	https://zhuanlan.zhihu.com/p/37663895
参加kaggle竞赛是怎样一种体验？ - 知乎	https://www.zhihu.com/question/24533374
Computer Vision and Pattern Recognition authors/titles recent submissions	https://arxiv.org/list/cs.CV/recent
人工智能从业者应该从哪里去寻找和阅读顶级论文？ - 知乎	https://www.zhihu.com/question/303022763/answer/545776860
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文	https://github.com/amusi/daily-paper-computer-vision
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）	https://github.com/amusi/AI-Job-Notes
AI算法岗求职攻略	https://github.com/amusi/AI-Job-Notes
算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）	https://github.com/amusi/AI-Job-Notes
AI-Job-Notes	https://github.com/amusi/AI-Job-Notes#Coding
C/C 面试基础知识总结 · 语雀	https://www.yuque.com/huihut/interview/readme
	https://patch-diff.githubusercontent.com/GaoCode/AI-Job-Notes/blob/master/imgs/8-100Q.jpg
https://t.zsxq.com/fM3VNjq	https://t.zsxq.com/fM3VNjq
一文弄懂神经网络中的反向传播法——BackPropagation - Charlotte77 - 博客园	http://www.cnblogs.com/charlotte77/p/5629865.html
http://introtodeeplearning.com/materials/2019_6S191_L1.pdf	http://introtodeeplearning.com/materials/2019_6S191_L1.pdf
Home - deeplearning.ai	https://www.deeplearning.ai/
你现在应该阅读的7本最好的深度学习书籍	https://mp.weixin.qq.com/s/dK29_Jpx8ep3bz0dfePOJQ
TensorFlow-From-Zero-To-One: 记录自己学习TensorFlow的笔记和代码	https://github.com/amusi/TensorFlow-From-Zero-To-One
PyTorch-From-Zero-To-One: PyTorch从入门到精通	https://github.com/amusi/PyTorch-From-Zero-To-One
Stanford University CS231n: Convolutional Neural Networks for Visual Recognition	http://cs231n.stanford.edu/
Papers With Code : the latest in machine learning	https://paperswithcode.com/
有没有一些图像处理新手可以练习的项目？ - 知乎	https://www.zhihu.com/question/269921460/answer/358712029
https://note.youdao.com/ynoteshare1/index.html?id=421e6845b896bbb8acd2b8514c36c0ad&type=note#/	https://note.youdao.com/ynoteshare1/index.html?id=421e6845b896bbb8acd2b8514c36c0ad&type=note#/
GitHub - amusi/AI-Job-Notes: AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）	https://github.com/amusi/AI-Job-Notes
	https://patch-diff.githubusercontent.com/GaoCode/AI-Job-Notes/blob/master/imgs/8-117Q.jpg
重磅！小目标检测的数据增广秘籍	https://mp.weixin.qq.com/s/mNi8qWG9ptIMN77FYV4-Kg
亚马逊：用CNN进行图像分类的Tricks	https://mp.weixin.qq.com/s/dY4kLcWfFdZ0kuKcMY1Qmg
awesome-image-classification	https://github.com/weiaicunzai/awesome-image-classification
imgclsmob	https://github.com/osmr/imgclsmob
interview_python: 关于Python的面试题	https://github.com/taizilongxu/interview_python
python_interview_question: 关于python的面试题	https://github.com/kenwoodjw/python_interview_question
https://github.com/huihut/interview	https://github.com/huihut/interview
有没有一些图像处理新手可以练习的项目？ - 知乎	https://www.zhihu.com/question/269921460/answer/358712029
GitHub - KuKuXia/Image_Processing_100_Questions: This is the English version of the Image processing 100 questions.	https://github.com/KuKuXia/Image_Processing_100_Questions
互联网公司概率面试题整理	https://blog.csdn.net/bertdai/article/details/78070092
面试中的概率题	https://www.cnblogs.com/fanling999/p/6777335.html
2019 校园招聘算法面试概率题	https://zhuanlan.zhihu.com/p/46592195
Readme	https://patch-diff.githubusercontent.com/GaoCode/AI-Job-Notes#readme-ov-file
Please reload this page	https://patch-diff.githubusercontent.com/GaoCode/AI-Job-Notes
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Releases	https://patch-diff.githubusercontent.com/GaoCode/AI-Job-Notes/releases
Packages 0	https://patch-diff.githubusercontent.com/users/GaoCode/packages?repo_name=AI-Job-Notes
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