“大数据智能-参考课程”版本间的差异
来自iCenter Wiki
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| Neural Networks for Visual Recognition|| *Stanford CS231 || [http://cs231n.stanford.edu/ Convolutional Neural Networks for Visual Recognition] | | 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] | | Deep Reinforcement Learning|| *UC-Berkeley CS294 || [http://rll.berkeley.edu/deeprlcourse/ Deep Reinforcement Learning] | ||
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
