“大数据智能-参考课程”版本间的差异

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Stanford CS224
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=国际=
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[http://cs224d.stanford.edu/ Deep Learning for Natural Language Processing]
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Stanford CS229
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*数据系统课程 BD_DB
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[http://cs229.stanford.edu/ Machine Learning]
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Stanford CS231
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{| class="wikitable"
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[http://cs231n.stanford.edu/ Convolutional Neural Networks for Visual Recognition]
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! 课名 !! 简写-大学 !! 链接
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| Data Management and Data Systems || *Stanford CS145 || [https://cs145-fa18.github.io/ Data Management and Data Systems]
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| Principles of Data-Intensive Systems || *Stanford CS245 ||  [http://web.stanford.edu/class/cs245/ Principles of Data-Intensive Systems]
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| Data-Intensive Systems for the Next 1000x || *Stanford CS345S ||  [http://futuredata.stanford.edu/classes/cs345s/ Data-Intensive Systems for the Next 1000x]
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|}
  
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Stanford CS20SI
 
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[http://web.stanford.edu/class/cs20si/ Tensorflow for Deep Learning Research]
 
  
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Stanford CS246
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*机器学习课程 ML
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[http://web.stanford.edu/class/cs246/ Mining Massive Data Sets]
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([http://www.mmds.org MMDS])
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Stanford CS276
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{| class="wikitable"
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[http://web.stanford.edu/class/cs276/ Information Retrieval and Web Search]
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! 课名 !! 简写-大学 !! 链接
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|-
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| Deep Learning for Natural Language Processing || *Stanford CS224d ||  [http://cs224d.stanford.edu/ Deep Learning for Natural Language Processing]
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| Machine Learning|| *Stanford CS229||  [http://cs229.stanford.edu/ Machine Learning] 
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| Neural Networks for Visual Recognition|| *Stanford CS231 ||  [http://cs231n.stanford.edu/ Convolutional Neural Networks for Visual Recognition]
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| Deep Reinforcement Learning|| *UC-Berkeley CS294 ||  [http://rll.berkeley.edu/deeprlcourse/ Deep Reinforcement Learning]
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| Topics Course on Deep Learning|| *UC-Berkeley Stat212b  ||  [http://joanbruna.github.io/stat212b/ Topics Course on Deep Learning]
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| Advanced Introduction to Machine Learning|| *CMU 10715 || [http://www.cs.cmu.edu/~epxing/Class/10715/lecture.html Advanced Introduction to Machine Learning]
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|}
  
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UC-Berkeley CS294
 
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[http://rll.berkeley.edu/deeprlcourse/ Deep Reinforcement Learning]
 
  
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CMU 10715
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*数据挖掘与信息检索课程 DM_IR
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[http://www.cs.cmu.edu/~epxing/Class/10715/lecture.html Advanced Introduction to Machine Learning]
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{| class="wikitable"
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|-
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! 课名 !! 简写-大学 !! 链接
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|-
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| Mining Massive Data Sets|| *Stanford CS246 ||  [http://web.stanford.edu/class/cs246/ Mining Massive Data Sets]([http://www.mmds.org MMDS]) 
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|-
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| Information Retrieval and Web Search|| *Stanford CS276 || [http://web.stanford.edu/class/cs276/ Information Retrieval and Web Search]
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|}
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=国内=
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*复旦大学
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[https://nndl.github.io 神经网络与深度学习]

2019年6月21日 (五) 01:45的最后版本

国际

  • 数据系统课程 BD_DB
课名 简写-大学 链接
Data Management and Data Systems *Stanford CS145 Data Management and Data Systems
Principles of Data-Intensive Systems *Stanford CS245 Principles of Data-Intensive Systems
Data-Intensive Systems for the Next 1000x *Stanford CS345S Data-Intensive Systems for the Next 1000x


  • 机器学习课程 ML
课名 简写-大学 链接
Deep Learning for Natural Language Processing *Stanford CS224d Deep Learning for Natural Language Processing
Machine Learning *Stanford CS229 Machine Learning
Neural Networks for Visual Recognition *Stanford CS231 Convolutional Neural Networks for Visual Recognition
Deep Reinforcement Learning *UC-Berkeley CS294 Deep Reinforcement Learning
Topics Course on Deep Learning *UC-Berkeley Stat212b Topics Course on Deep Learning
Advanced Introduction to Machine Learning *CMU 10715 Advanced Introduction to Machine Learning


  • 数据挖掘与信息检索课程 DM_IR
课名 简写-大学 链接
Mining Massive Data Sets *Stanford CS246 Mining Massive Data Sets(MMDS)
Information Retrieval and Web Search *Stanford CS276 Information Retrieval and Web Search

国内

  • 复旦大学

神经网络与深度学习

取自“http://wiki.icenter.tsinghua.edu.cn/icenterwiki/index.php?title=大数据智能-参考课程&oldid=54050”