“大数据智能-参考教材”版本间的差异

来自iCenter Wiki
跳转至: 导航搜索
(以“= 课程教材= *分布式系统: # M Steen, AS Tanenbaum, Distributed systems: principles and paradigms, Prentice Hall, 2007. [https://www.distributed-systems.ne...”为内容创建页面)
(没有差异)

2018年5月30日 (三) 13:42的版本

课程教材

  • 分布式系统:
  1. M Steen, AS Tanenbaum, Distributed systems: principles and paradigms, Prentice Hall, 2007. Distributed Systems
  • 数据挖掘:
  1. Leskovec, Jure, Anand Rajaraman, Jeffrey David Ullman. Mining of massive datasets. Cambridge University Press, 2014. MMDS_book
  • 深度学习:
  1. Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, 2016. DeepLearningBook
  • 强化学习:
  1. Richard S. Sutton, Andrew Barto, An Introduction to Reinforcement Learning, MIT Press, 1998. Intro_RL