---
title: "相关学习资源"
date: 2018-12-29
lastmod: 2020-01-05
weight: 5
type: 
icon: #
description: "相关学习资源"
# search related keywords
---

1. [高可用架构（第1卷）](https://item.jd.com/12195481.html)
2. [Chaos Engineering](https://item.jd.com/10020883070676.html)
3. [从零开始学架构](https://item.jd.com/12450348.html)
4. [阿里巴巴故障注入工具](https://github.com/chaosblade-io/chaosblade/releases)
5. [TF官方文档](https://tensorflow.google.cn/learn)
6. [TF样例代码](https://github.com/aymericdamien/TensorFlow-Examples)
7. [PyTorch官方文档](https://pytorch.org/docs/stable/index.html)
8. [Keras学习范例](https://github.com/erhwenkuo/deep-learning-with-keras-notebooks)
9.  [Scikit-learn官网](https://scikit-learn.org/stable/)
10. [Sklearn快速入门教程](https://blog.csdn.net/linxid/article/details/79104130)
11. [监督学习](https://zh.wikipedia.org/wiki/监督学习)
12. [监督学习最常见的四种算法](https://blog.csdn.net/laobai1015/article/details/75006511)
13. [K近邻算法详解](https://blog.csdn.net/wangmumu321/article/details/78576916)
14. [决策树](https://blog.csdn.net/jiaoyangwm/article/details/79525237)
15. [逻辑回归-理论篇](https://blog.csdn.net/pakko/article/details/37878837)
16. [带你理解朴素贝叶斯算法](https://zhuanlan.zhihu.com/p/26262151)
17. [一文看懂无监督学习](https://easyai.tech/ai-definition/unsupervised-learning/)
18. [常见的6大聚类算法](https://blog.csdn.net/Katherine_hsr/article/details/79382249)
19. [12种降维方法终极指南](https://zhuanlan.zhihu.com/p/43225794)
20. [强化学习知识整理](https://zhuanlan.zhihu.com/p/25319023)
21. [Q-learning算法详解](https://blog.csdn.net/qq_30615903/article/details/80739243)
22. [强化学习-Sarsa](https://blog.csdn.net/winycg/article/details/79334771)
23. [DQN从入门到放弃](https://zhuanlan.zhihu.com/p/21262246?refer=intelligentunit)
24. [DDPG算法详解](https://blog.csdn.net/qq_30615903/article/details/80776715)