“大数据智能-参考课程”版本间的差异

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国际
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=国际=
 
=国际=
  
*Stanford CS245
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{| class="wikitable"
[http://web.stanford.edu/class/cs245/ Principles of Data-Intensive Systems]
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! 课名 !! 简写-大学 !! 链接
*Stanford CS224d
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|-
[http://cs224d.stanford.edu/ Deep Learning for Natural Language Processing]
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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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|-
*Stanford CS229
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| Deep Learning for Natural Language Processing || *Stanford CS224d ||  [http://cs224d.stanford.edu/ Deep Learning for Natural Language Processing]  
[http://cs229.stanford.edu/ Machine Learning]
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|-
 
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| Machine Learning|| *Stanford CS229||  [http://cs229.stanford.edu/ Machine Learning]  
*Stanford CS231
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[http://cs231n.stanford.edu/ Convolutional Neural Networks for Visual Recognition]
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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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|-
*Stanford CS20SI  
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| Tensorflow for Deep Learning Research|| *Stanford CS20SI ||  [http://web.stanford.edu/class/cs20si/ Tensorflow for Deep Learning Research]  
[http://web.stanford.edu/class/cs20si/ Tensorflow for Deep Learning Research]
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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])  
*Stanford CS246
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[http://web.stanford.edu/class/cs246/ Mining Massive Data Sets]
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| Information Retrieval and Web Search|| *Stanford CS276 || [http://web.stanford.edu/class/cs276/ Information Retrieval and Web Search]
([http://www.mmds.org MMDS])
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|-
 
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| Deep Reinforcement Learning|| *UC-Berkeley CS294 ||  [http://rll.berkeley.edu/deeprlcourse/ Deep Reinforcement Learning]
*Stanford CS276
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[http://web.stanford.edu/class/cs276/ Information Retrieval and Web Search]
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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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|-
*UC-Berkeley CS294
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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]
[http://rll.berkeley.edu/deeprlcourse/ Deep Reinforcement Learning]
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|}
 
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*UC-Berkeley Stat212b  
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[http://joanbruna.github.io/stat212b/ Topics Course on Deep Learning]
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*CMU 10715
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[http://www.cs.cmu.edu/~epxing/Class/10715/lecture.html Advanced Introduction to Machine Learning]
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=国内=
 
=国内=

2019年4月20日 (六) 02:28的版本

国际

课名 简写-大学 链接
Principles of Data-Intensive Systems *Stanford CS245 Principles of Data-Intensive Systems
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
Tensorflow for Deep Learning Research *Stanford CS20SI Tensorflow for Deep Learning Research
Mining Massive Data Sets *Stanford CS246 Mining Massive Data Sets(MMDS)
Information Retrieval and Web Search *Stanford CS276 Information Retrieval and Web Search
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

国内

  • 复旦大学

神经网络与深度学习