===基础==='''课程参考书'''
# John L. Hennessy, and David A. Patterson. Computer architecture: a quantitative approach. Elsevier, 2011.# Neil Matthew, and Richard Stones. Beginning linux programming. John Wiley & Sons, 2011.# Bjarne Stroustrup, The C++ programming language. Pearson Education, 2013.# Weiss, Mark Allen, Data structures and algorithm analysis in Java, Addison-Wesley Longman Publishing Co., Inc., 1998.# David Flanagan, JavaScript: The definitive guide: Activate your web pages. " O'Reilly Media, Inc.", 2011.# Miguel Grinberg, Flask Web Development: Developing Web Applications with Python. O'Reilly Media, Inc., 2014.= 深度学习 =
===数据管理===* 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.
# Leskovec, Jure, Anand Rajaraman, and Jeffrey David Ullman. Mining of massive datasets. Cambridge University Press, 2014. [http://www.mmds.org/ MMDS_book]= 大数据智能 =
===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 team, TensorFlow: Large-scale machine learning on heterogeneous systems, whitepaper, 2015.
# Vijay Agneeswaran, Real-Time Applications with Storm, Spark, and More Hadoop Alternatives, 2014.
===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 Go, JMLR 2015.