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‎README.md‎

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## 预备知识 Prerequisite
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## 研究领域资源细分
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- ### [深度学习 Deep learning](https://github.com/ChristosChristofidis/awesome-deep-learning)
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- ### [强化学习 Reinforcement learning](https://github.com/aikorea/awesome-rl)
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- ### [迁移学习 Transfer learning](https://jindongwang.github.io/transferlearning/)
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- ### [分布式学习系统 Distributed learning system](https://github.com/theanalyst/awesome-distributed-systems)
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- ### [计算机视觉/机器视觉 Computer vision / machine vision](https://github.com/jbhuang0604/awesome-computer-vision)
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- ### [自然语言处理 Natural language procesing](https://github.com/Nativeatom/NaturalLanguageProcessing)
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- ### 语音识别 Speech recognition
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- ### [生物信息学 Bioinfomatics](https://github.com/danielecook/Awesome-Bioinformatics)
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- ### [行为识别 Activity recognition](https://github.com/jindongwang/activityrecognition)
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- ### [多智能体 Multi-Agent](http://ddl.escience.cn/f/ILKI)
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## 开始学习:预备知识 Prerequisite
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- [学习知识与路线图](https://metacademy.org/)
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## 理论 Theory
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- ### 深度学习 Deep learning
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- ### [强化学习 Reinforcement learning](https://github.com/allmachinelearning/ReinforcementLearning)
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- ### [迁移学习 Transfer learning](https://jindongwang.github.io/transferlearning/)
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- ### [分布式学习系统 Distributed learning system](https://github.com/allmachinelearning/Deep-Learning-System-Design)
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## 应用 Applications
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- ### 计算机视觉/机器视觉 Computer vision / machine vision
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- ### [自然语言处理 Natural language procesing](https://github.com/Nativeatom/NaturalLanguageProcessing)
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- ### 语音识别 Speech recognition
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- ### 生物信息学 Bioinfomatics
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- ### 医疗 Medical
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- ### [行为识别 Activity recognition](https://github.com/jindongwang/activityrecognition)
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- ### [人工智能(多智能体) Artificial Intelligence(Multi-Agent)](http://ddl.escience.cn/f/ILKI)
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## 文档 notes
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- [综述文章汇总](https://github.com/allmachinelearning/MachineLearning/blob/master/notes/survey_readme.md)
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#### [贡献者 Contributors](https://github.com/allmachinelearning/MachineLearning/blob/master/contributors.md)
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> ***[文章版权声明]这个仓库是我开源到Github上的,可以遵守相关的开源协议进行使用。这个仓库中包含有很多研究者的论文、硕博士论文等,都来源于在网上的下载,仅作为学术研究使用。我对其中一些文章都写了自己的浅见,希望能很好地帮助理解。这些文章的版权属于相应的出版社。如果作者或出版社有异议,请联系我进行删除(本来应该只放文章链接的,但是由于时间关系来不及)。一切都是为了更好地学术!***
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