好文章
概率图
https://www.coursera.org/learn/probabilistic-graphical-models
https://blog.csdn.net/u014380165/article/list/5 AI之路，作者写了很多视觉相关算法心得文章
http://openaccess.thecvf.com/CVPR2020.py CVPR的论文
http://archive.apache.org/dist apache组件下载路径
VS Studio激活码
专业版：HMGNV-WCYXV-X7G9W-YCX63-B98R2
企业版：HM6NR-QXX7C-DFW2Y-8B82K-WTYJV
https://www.datasetlist.com/ 大牛李文哲_AI（贪心学院创始人）里面提到的数据集，很给力
https://www.cnblogs.com/think-and-do/category/956573.html 统计学好博客文章，值得一看
https://www.analyticsvidhya.com/blog/2019/02/outlier-detection-python-pyod/ 异常点检测库PyOD介绍
https://zhuanlan.zhihu.com/c_1071087593646698496 时间序列专栏
https://blog.csdn.net/qq_28168421/article/details/104285461 吐血推荐python30个好用的库
https://mp.weixin.qq.com/s/eOeXA0ctErvd2mmEexZcBA 加速python开发的八个技巧
小小挖掘机，满满干货，当年就是冲着他的xgboost的良心解答而关注他
https://cloud.tencent.com/developer/column/2381
Python最佳实践
https://google.github.io/styleguide/pyguide.html
大数据面试题
https://blog.csdn.net/Sunshine_2211468152/article/details/83627524
https://blog.csdn.net/m0_38010471/article/details/85700200
https://www.cnblogs.com/handsome-24/p/11232930.html （系列）
http://bigdata.evget.com/post/8825.html （系列）
https://blog.51cto.com/13722730/2110765
https://www.job592.com/pay/ms/199798.html
机器学习面试题
https://www.cnblogs.com/hanxiaosheng/p/9934237.html
https://www.cnblogs.com/hellojamest/p/11159219.html
https://www.jianshu.com/p/304a87fcef43
https://www.jianshu.com/p/1ec8c1c01e8a
看名字就知道很重要的网站
https://paperswithcode.com/sota
讲述Random Forest的好文章
https://www.guru99.com/r-random-forest-tutorial.html#2
R的特征工程
http://www.shareditor.com/blogshow?blogId=106
https://zhuanlan.zhihu.com/p/25732304
设计模式
https://cloud.tencent.com/developer/article/1330380
机器学习的评估
https://www.cnblogs.com/sddai/p/9581030.html
数据仓库
https://blog.csdn.net/qq_26442553/article/details/79318165
https://www.jianshu.com/p/849db358ec61
https://www.jianshu.com/p/b635a3073e7b
算法
https://github.com/MisterBooo/LeetCodeAnimation
https://github.com/azl397985856/leetcode
tensorflow
http://www.elecfans.com/rengongzhineng/635154.html#http://bbs.elecfans.com
关于Lasso和岭回归
https://blog.csdn.net/hzw19920329/article/details/77200475
https://blog.csdn.net/JH_Zhai/article/details/82694937
Accnture
https://employeereferralprogram.accenture.com/#/index
http://www.blogjava.net/hh-lux/archive/2006/12/10/86635.html
https://blog.csdn.net/u010142437/article/details/26681213
特征工程
https://www.zhihu.com/question/29316149
http://www.cnblogs.com/jasonfreak/p/5448462.html
https://blog.csdn.net/Dream_angel_Z/article/details/49388733
https://blog.csdn.net/v_JULY_v/article/details/81319999
关于向量机的文章
https://blog.csdn.net/v_JULY_v/article/details/7624837
http://blog.pluskid.org/?page_id=683
关于PCA以及白化的好文章（一个英文版，一个中文版）
http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial
http://ufldl.stanford.edu/wiki/index.php/UFLDL%E6%95%99%E7%A8%8B
PCA系列好文
https://blog.csdn.net/baimafujinji/article/details/50372906
https://blog.csdn.net/baimafujinji/article/details/50373143
https://blog.csdn.net/baimafujinji/article/details/79372911
BAT机器学习面试1000题
https://blog.csdn.net/v_JULY_v/article/details/78121924
关于YARN的fair
http://blog.cloudera.com/blog/2018/06/yarn-fairscheduler-preemption-deep-dive/
spark和es结合做聚类学习
https://code.i-harness.com/zh-CN/q/1b0ead4
争取每天读一篇的好博客，关于机器学习的
https://blog.csdn.net/lyl771857509/article/list/1?t=1
python-Levenshtein相似度（距离）计算
https://blog.csdn.net/dcrmg/article/details/79228589
https://github.com/xiashiwendao/Metis/tree/master/docs 织云开源网址，我的fork
写给程序员的数据挖掘
http://guidetodatamining.com/
特征工程
https://www.zhihu.com/question/29316149
Python机器学习实践与Kaggle实战
https://mlnote.wordpress.com/2015/12/16/python%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E8%B7%B5%E4%B8%8Ekaggle%E5%AE%9E%E6%88%98-machine-learning-for-kaggle-competition-in-python/
机器学习资源（持续更新）
https://blog.csdn.net/linxid/article/details/83865649
吴恩达视频笔记
https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes
https://study.163.com/course/courseMain.htm?courseId=1004570029&_trace_c_p_k2_=907d8e659c5e47d5939d46f4627d14bb
https://scikit-learn.org/stable/
华校专的个人网页
http://www.huaxiaozhuan.com/
关于时间序列
https://zhuanlan.zhihu.com/p/21781849
https://blog.csdn.net/shanguier/article/details/77575565
https://tsfresh.readthedocs.io/en/latest/
https://www.jianshu.com/p/4130bac8ebec 简书的一个ARIMA的例子
Apriori算法
https://www.cnblogs.com/90zeng/p/apriori.html
https://www.cnblogs.com/dm-cc/p/5737147.html
机器学习的好博客（apriori的python3实现就是在这里找到的）
https://adataanalyst.com/tag/machine-learning/
ELK
grok的模式解析库
https://github.com/logstash-plugins/logstash-patterns-core/tree/master/patterns 或
https://github.com/thekrakken/java-grok/blob/master/src/main/resources/patterns/patterns
ELK面试题：https://mp.weixin.qq.com/s/iay2B4XGl5MuEqRBWqoipA
在线juypter
微软的
https://docs.microsoft.com/en-us/azure/notebooks/quickstart-create-share-jupyter-notebook
MyBinder
一篇介绍在线jupyter的简书文章
