“大数据智能-参考文献”版本间的差异

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===基础===
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'''课程参考书'''
  
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# John L. Hennessy, and David A. Patterson. Computer architecture: a quantitative approach. Elsevier, 2011.
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= 深度学习 =
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# Neil Matthew, and Richard Stones. Beginning linux programming. John Wiley & Sons, 2011.
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# Bjarne Stroustrup, The C++ programming language. Pearson Education, 2013.
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# Weiss, Mark Allen, Data structures and algorithm analysis in Java, Addison-Wesley Longman Publishing Co., Inc., 1998.
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# David Flanagan, JavaScript: The definitive guide: Activate your web pages. " O'Reilly Media, Inc.", 2011.
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# Miguel Grinberg, Flask Web Development: Developing Web Applications with Python. O'Reilly Media, Inc., 2014.
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===深度学习===
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* Yoshua Bengio, Ian Goodfellow, Aaron Courville, Deep Learning, MIT Press, 2016. [http://www.deeplearningbook.org/ DeepLearningBook]
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# Yoshua Bengio, Ian Goodfellow, Aaron Courville, Deep Learning, MIT Press, 2016. [http://www.deeplearningbook.org/ DeepLearningBook]
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# Google brain team, TensorFlow: Large-scale machine learning on heterogeneous systems, whitepaper, 2015.
 
# Google brain team, TensorFlow: Large-scale machine learning on heterogeneous systems, whitepaper, 2015.
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# Vijay Agneeswaran, Real-Time Applications with Storm, Spark, and More Hadoop Alternatives, 2014.
 
  
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===计算机围棋===
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= 大数据智能 =
  
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# Mastering the game of Go with deep neural networks and tree search, nature 2015.
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# 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。
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# Better Computer Go Player with Neural Network and Long-term Prediction, ICLR 2016.
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# Pachi: State of the art open source Go program, Advances in computer games, Springer Berlin Heidelberg, 2011.
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= 数据挖掘 =
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# Training Deep Convolutional Neural Networks to Play Go, JMLR 2015.
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* Leskovec, Jure, Anand Rajaraman, and Jeffrey David Ullman. Mining of massive datasets. Cambridge University Press, 2014. [http://www.mmds.org/ MMDS_book]
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# Vijay Agneeswaran, Real-Time Applications with Storm, Spark, and More Hadoop Alternatives, 2014.

2019年5月23日 (四) 09:43的最后版本

课程参考书

深度学习

  • Yoshua Bengio, Ian Goodfellow, Aaron Courville, Deep Learning, MIT Press, 2016. DeepLearningBook
  1. Google brain team, TensorFlow: Large-scale machine learning on heterogeneous systems, whitepaper, 2015.

大数据智能

  1. 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。

数据挖掘

  • Leskovec, Jure, Anand Rajaraman, and Jeffrey David Ullman. Mining of massive datasets. Cambridge University Press, 2014. MMDS_book
  1. Vijay Agneeswaran, Real-Time Applications with Storm, Spark, and More Hadoop Alternatives, 2014.
取自“http://wiki.icenter.tsinghua.edu.cn/icenterwiki/index.php?title=大数据智能-参考文献&oldid=53671”