reading

collection of reading materials and courses

@note: if any of these materials violates your copy right or related right, please drop me a comment and I'll remove those at your request. thanks :)

Apache Events

https://events.apache.org/

Databricks Engineering Blog

https://databricks.com/blog/category/engineering

DeepMind

https://deepmind.com/research/publications/

Amazon Science

https://www.amazon.science/

LinkedIn Engineering Blog

https://engineering.linkedin.com/blog

Uber Engineering Blog

https://eng.uber.com/

Twitter Engineering Blog

https://blog.twitter.com/engineering

PayPal Engineering Blog

http://www.paypal-engineering.com/

AWS

https://aws.amazon.com/blogs/aws/

re:Invent

https://reinvent.awsevents.com/

WooYun

http://drops.wooyun.org/

NetFlix

https://medium.com/netflix-techblog

Slack Engineering Blog

https://slack.engineering/

AirBnb Engineering Blog

https://medium.com/airbnb-engineering

CTF

http://blog.idf.cn/2015/02/ctf-field-guide/

• https://alf.nu/alert1

folder /spark/

• papers mainly from https://spark.apache.org/research.html
• summit https://spark-summit.org

folder /hadoop/

• hadoop eco-system from https://hadoop.apache.org
• summit http://hadoopsummit.org

folder /googleResearch/

google progress https://research.google.com/pubs/papers.html

folder /facebookResearch/

https://research.facebook.com

folder /amplab/

AMP lab https://amplab.cs.berkeley.edu/publication

folder /AndrewNg/

machine learning stuff http://www.andrewng.org/publications/

Ml course

https://developers.google.com/machine-learning/crash-course/

courses

folder /6.S897/

reading material from MIT course 6.S897: Large-Scale Systems https://people.csail.mit.edu/matei/courses/2015/6.S897/

fonder /sfu-cmpt-886/

heavy on database part, but still good reading materials: https://courses.cs.sfu.ca/2015sp-cmpt-886-g1/pages/syllabus

folder /science/

articles on AI and Machine Learning http://www.sciencemag.org

MxNet Deep Learning

http://gluon.mxnet.io/