=== 基础 ==='''课程参考书'''
==== 编程语言 ===深度学习 =
# Google C++ Style [https://google* Yoshua Bengio, Ian Goodfellow, Aaron Courville, Deep Learning, MIT Press, 2016.github.io/styleguide/cppguide.html Google C++ Style]# PEP 8 - Style Guide for Python Code [httpshttp://www.pythondeeplearningbook.org/dev/peps/pep-0008/ PEP_8DeepLearningBook]# David FlanaganGoogle brain team, JavaScriptTensorFlow: The definitive guide: Activate your web pages. " O'Reilly Media, Inc.", 2011.# Weiss, Mark Allen, Data structures and algorithm analysis in Java, AddisonLarge-Wesley Longman Publishing Co.scale machine learning on heterogeneous systems, Inc., 1998.# Bjarne Stroustrup, The C++ programming language. Pearson Educationwhitepaper, 20132015.
==== 计算机应用基础 ===大数据智能 =
# 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.# Miguel Grinberg, Flask Web Development: Developing Web Applications with Python. O'Reilly Media, Inc., 2014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。
=== 数据管理 ==数据挖掘 =
# * 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.
=== 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 ===
# 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.
=== 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.