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数理统计

本篇是人工智能与深度学习实战系列文章的一部分。

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Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Acknowledgements

• Awesome-Lists: 📚 Guide to Galaxy, curated, worthy and up-to-date links/reading list for ITCS-Coding/Algorithm/SoftwareArchitecture/AI. 💫 ITCS-编程/算法/软件架构/人工智能等领域的文章/书籍/资料/项目链接精选。

• Awesome-CS-Books: :books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档。

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笔者所有文章遵循知识共享 署名 - 非商业性使用 - 禁止演绎 4.0 国际许可协议，欢迎转载，尊重版权。您还可以前往 NGTE Books 主页浏览包含知识体系、编程语言、软件工程、模式与架构、Web 与大前端、服务端开发实践与工程架构、分布式基础架构、人工智能与深度学习、产品运营与创业等多类目的书籍列表：

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