=== 数据管理 ==='''课程参考书'''
# Leskovec, Jure, Anand Rajaraman, and Jeffrey David Ullman. Mining of massive datasets. Cambridge University Press, 2014. [http://www.mmds.org/ MMDS_book]# Vijay Agneeswaran, Real-Time Applications with Storm, Spark, and More Hadoop Alternatives, 2014.= 深度学习 =
==* Yoshua Bengio, Ian Goodfellow, Aaron Courville, Deep Learning, MIT Press, 2016. [http://www.deeplearningbook.org/ DeepLearningBook]# Google brain team, TensorFlow: Large-scale machine learning on heterogeneous systems, whitepaper, 2015. = 大数据智能 ===
# 刘知远，崔安欣等，大数据智能：互联网时代的机器学习和自然语言处理技术. 电子工业出版社，2016年。
=== 深度学习 ==数据挖掘 =
# Yoshua Bengio* Leskovec, Ian GoodfellowJure, Aaron CourvilleAnand Rajaraman, Deep Learning, MIT and Jeffrey David Ullman. Mining of massive datasets. Cambridge University Press, 20162014. [http://www.deeplearningbookmmds.org/ DeepLearningBookMMDS_book]# Google brain teamVijay Agneeswaran, TensorFlow: LargeReal-scale machine learning on heterogeneous systemsTime Applications with Storm, whitepaperSpark, 2015. === 计算机围棋 === # Mastering the game of Go with deep neural networks and tree search, nature 2015.# Better Computer Go Player with Neural Network and Long-term Prediction, ICLR 2016.# Pachi: State of the art open source Go program, Advances in computer games, Springer Berlin Heidelberg, 2011.# Training Deep Convolutional Neural Networks to Play GoMore Hadoop Alternatives, JMLR 20152014.