机器学习的相关学习链接

本文主要总结一些比较有用的机器学习的相关文章的链接,作为笔记。

1,机器学习的算法总结(面试用):

http://kubicode.me/2015/08/16/Machine%20Learning/Algorithm-Summary-for-Interview/#

2,机器学习中常见问题的问答:

http://www.kdnuggets.com/2016/02/21-data-science-interview-questions-answers.html

3,50个机器学习的问与答:

http://career.guru99.com/top-50-interview-questions-on-machine-learning/

4,梯度下降算法相关:

http://sebastianruder.com/optimizing-gradient-descent/?url_type=39&object_type=webpage&pos=1

5,一个深度学习相关的短文里面的很多连接很有用:

http://mp.weixin.qq.com/s?__biz=MzI0NTE4NjA0OQ==&mid=2658352176&idx=2&sn=f545269f6d02aca45458c954c577b109&chksm=f2d5f75ec5a27e48b7b07471d47772425ced49cea3f9423517b0ed462a7cf736c3dcf6918ed4&scene=25#wechat_redirect

6,关于决策树的很多实用知识:

https://www.analyticsvidhya.com/blog/2016/04/complete-tutorial-tree-based-modeling-scratch-in-python/



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转载自blog.csdn.net/u012140304/article/details/52535387