thanks

谢谢分享。

学习学习！

感觉大数据时代数据挖掘听实用的。

感谢！

thx for sharing

感谢楼主分享这些精华内容！

好东西！顶！谢谢分享

谢谢楼主分享！

非常感谢楼主，好好看看

感谢楼主分享资源，已经收藏！

怎么能没有the elements of statistical learning呢

支持一下了

点赞支持！

支持一下！

感谢这个活动，可以分享到这么多大家推荐的好资源！

Thanks a lot for sharing the list of books and resources.

Here are some more that are not listed.

## very easy read, but very interesting to know
http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf

## a book I did not see
Machine Learning: a Probabilistic Perspective
http://www.cs.ubc.ca/~murphyk/MLbook/

## Dr. Michael I Jordan
https://people.eecs.berkeley.edu/~jordan/
http://mlg.eng.cam.ac.uk/mlss09/mlss_slides/Jordan_1.pdf
https://www.nap.edu/catalog/18374/frontiers-in-massive-data-analysis

## for people who are interested in finding a data related job
https://www.dezyre.com/article/100-data-science-interview-questions-and-answers-general-for-2016/184
https://www.datascienceweekly.org/pdf/DataScienceWeekly-DataScientistInterviews-Vol1-April2014.pdf ## stand on giant's shoulder
https://www.springboard.com/blog/wp-content/uploads/2016/07/UltimateGuidetoDataScienceInterviews-1.pdf

## a free deep learning book
http://www.deeplearningbook.org/

## conventional explanation of deep learning
http://blog.algorithmia.com/introduction-to-deep-learning-2016/

## by Yann LeCun,        Yoshua Bengio        & Geoffrey Hinton
http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html

Enjoy!

大牛真多呀，小白如我的不多。

seeeeeeeeeeeeeee

感谢大牛们分享，很受益

啦啦啦啦啦啦啦啦啦啦啦啦啦啦啦了

不转不是经纪人