ML常用资料链接

逃离我推掉我的手 2022-12-12 15:13 133阅读 0赞

[南瓜书PumpkinBook][PumpkinBook]\---公式

[LeeML-Notes][] -- 李宏毅

ML常用资料链接

1.1000题

[BAT机器学习面试1000题系列（第1~305题）\_结构之法 算法之道-CSDN博客][BAT_1000_1_305_ _-CSDN]

2.EM算法详解

[EM-最大期望算法 | D.W's Notes - Machine Learning][EM-_ _ D.W_s Notes - Machine Learning]

3.SVM算法详解

[支持向量机通俗导论（理解SVM的三层境界）\_结构之法 算法之道-CSDN博客\_svm][SVM_ _-CSDN_svm]

4.PCA算法详解---

全局范围理解--周志华老师的西瓜书，以及具体的应用例子，下文便是：

[主成分分析（PCA）原理详解\_Microstrong-CSDN博客\_pca][PCA_Microstrong-CSDN_pca]

至于具体的推导公式，可以参考下面这篇文章：

[主成分分析(PCA)原理及推导\_学无常师，负笈不远险阻-CSDN博客\_主成分分析][PCA_-CSDN]

5.拉格朗日与KKT条件

[约束优化方法之拉格朗日乘子法与KKT条件 - ooon - 博客园][KKT_ - ooon -]

6.逻辑回归

[逻辑回归原理详细推导\_碧空之戈的博客-CSDN博客\_逻辑回归原理][-CSDN]

7.SMO算法

[关于SVM数学细节逻辑的个人理解（三） ：SMO算法理解 - xxrxxr - 博客园][SVM_ _SMO_ - xxrxxr -]

8.集成学习

[集成学习总结 | Xijun's Homepage][_ Xijun_s Homepage]

9.隐马尔科夫

[HMM隐马尔可夫模型详解\_WeisongZhao-CSDN博客\_hmm模型][HMM_WeisongZhao-CSDN_hmm]

[PumpkinBook]: https://datawhalechina.github.io/pumpkin-book/#/
[LeeML-Notes]: https://datawhalechina.github.io/leeml-notes/#/chapter31/chapter31
[BAT_1000_1_305_ _-CSDN]: https://blog.csdn.net/v_JULY_v/article/details/78121924
[EM-_ _ D.W_s Notes - Machine Learning]: http://www.csuldw.com/2015/12/02/2015-12-02-EM-algorithms/
[SVM_ _-CSDN_svm]: https://blog.csdn.net/v_july_v/article/details/7624837
[PCA_Microstrong-CSDN_pca]: https://blog.csdn.net/program_developer/article/details/80632779?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522160245919819195240461530%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=160245919819195240461530&biz_id=0&utm_medium=distribute.wap_search_result.none-task-blog-2~all~first_rank_ecpm_v3~pc_rank_v3-4-80632779.wap_ecpm_v3_pc_rank_v3&utm_term=pca&spm=1018.2118.3001.4187
[PCA_-CSDN]: https://blog.csdn.net/zhongkejingwang/article/details/42264479/
[KKT_ - ooon -]: https://www.cnblogs.com/ooon/p/5721119.html
[-CSDN]: https://blog.csdn.net/qq_38923076/article/details/82925183?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522160574900619724836720588%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=160574900619724836720588&biz_id=0&utm_medium=distribute.wap_search_result.none-task-blog-2~all~top_click~default-2-82925183.wap_ecpm_v3_pc_rank_v3&utm_term=%E9%80%BB%E8%BE%91%E5%9B%9E%E5%BD%92&spm=1018.2118.3001.4187
[SVM_ _SMO_ - xxrxxr -]: https://www.cnblogs.com/xxrxxr/p/7538430.html
[_ Xijun_s Homepage]: https://xijunlee.github.io/2017/06/03/%E9%9B%86%E6%88%90%E5%AD%A6%E4%B9%A0%E6%80%BB%E7%BB%93/
[HMM_WeisongZhao-CSDN_hmm]: https://blog.csdn.net/weixin_41923961/article/details/82750687?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522160631846319721942263306%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=160631846319721942263306&biz_id=0&utm_medium=distribute.wap_search_result.none-task-blog-2~all~top_click~default-3-82750687.wap_ecpm_v3_pc_rank_v3&utm_term=%E9%9A%90%E9%A9%AC%E5%B0%94%E5%8F%AF%E5%A4%AB&spm=1018.2118.3001.4187