“大数据智能-参考教材”版本间的差异
来自iCenter Wiki
| 第9行： | 第9行： | ||
*深度学习： | *深度学习： | ||
# Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, Cambridge, MA, 2016. [http://www.deeplearningbook.org/ DeepLearningBook] | # Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, Cambridge, MA, 2016. [http://www.deeplearningbook.org/ DeepLearningBook] | ||
| + | [https://github.com/exacity/deeplearningbook-chinese Deep Learning 中文翻译] | ||
*强化学习： | *强化学习： | ||
# Richard S. Sutton, Andrew Barto, An Introduction to Reinforcement Learning, MIT Press, Cambridge, MA, 1998. [http://incompleteideas.net/book/the-book-2nd.html Intro_RL] | # Richard S. Sutton, Andrew Barto, An Introduction to Reinforcement Learning, MIT Press, Cambridge, MA, 1998. [http://incompleteideas.net/book/the-book-2nd.html Intro_RL] | ||
2018年7月26日 (四) 14:37的版本
课程教材
- 分布式系统：
- M Steen, AS Tanenbaum, Distributed systems: principles and paradigms, Prentice Hall, 2007. Distributed Systems
- 数据挖掘：
- Leskovec, Jure, Anand Rajaraman, Jeffrey David Ullman. Mining of massive datasets. Cambridge University Press, 2014. MMDS_book
- 深度学习：
- Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, Cambridge, MA, 2016. DeepLearningBook
- 强化学习：
- Richard S. Sutton, Andrew Barto, An Introduction to Reinforcement Learning, MIT Press, Cambridge, MA, 1998. Intro_RL
