“2016 Summer Seminar for Machine learning”版本间的差异
来自cslt Wiki
| 第8行： | 第8行： | ||
| 2016/07/04 ||Dong Wang || Machine learning overview || || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt1.%20Overview%20of%20Machine%20Learning.pptx slides][http://arch.cslt.org/video/2016/sum-ML/lesson1-2.mp4 video(part 2)][http://cs229.stanford.edu/section/cs229-linalg.pdf Algebra review] [http://cs229.stanford.edu/section/cs229-prob.pdf probability review] [http://cs229.stanford.edu/section/gaussians.pdf Gaussian distribution][http://cs229.stanford.edu/notes/cs229-notes4.pdf Learning theory] | | 2016/07/04 ||Dong Wang || Machine learning overview || || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt1.%20Overview%20of%20Machine%20Learning.pptx slides][http://arch.cslt.org/video/2016/sum-ML/lesson1-2.mp4 video(part 2)][http://cs229.stanford.edu/section/cs229-linalg.pdf Algebra review] [http://cs229.stanford.edu/section/cs229-prob.pdf probability review] [http://cs229.stanford.edu/section/gaussians.pdf Gaussian distribution][http://cs229.stanford.edu/notes/cs229-notes4.pdf Learning theory] | ||
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| − | | 2016/07/05 ||Dong Wang || Linear models || || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt2.%20Linear%20Model.pptx slides][http://arch.cslt.org/video/2016/sum-ML/lesson2-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson2-2.mp4 video(part 2)] [http://cs229.stanford.edu/notes/cs229-notes1.pdf NG's lecture 1] [http://cs229.stanford.edu/notes/cs229-notes2.pdf NG's lecture 2] | + | | 2016/07/05 ||Dong Wang || Linear models || Aiting Liu|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt2.%20Linear%20Model.pptx slides][http://arch.cslt.org/video/2016/sum-ML/lesson2-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson2-2.mp4 video(part 2)] [http://cs229.stanford.edu/notes/cs229-notes1.pdf NG's lecture 1] [http://cs229.stanford.edu/notes/cs229-notes2.pdf NG's lecture 2] |
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| 2016/07/08 ||Dong Wang || Neural networks || || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt3.%20Neural%20Network.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson3-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson3-2.mp4 video(part 2)] | | 2016/07/08 ||Dong Wang || Neural networks || || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt3.%20Neural%20Network.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson3-1.mp4 video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson3-2.mp4 video(part 2)] | ||
2016年7月22日 (五) 06:36的版本
- Location: FIT-1-304
| Date | Speaker | Title | Owner | Materials |
|---|---|---|---|---|
| 2016/07/04 | Dong Wang | Machine learning overview | slidesvideo(part 2)Algebra review probability review Gaussian distributionLearning theory | |
| 2016/07/05 | Dong Wang | Linear models | Aiting Liu | slidesvideo(part 1) video(part 2) NG's lecture 1 NG's lecture 2 |
| 2016/07/08 | Dong Wang | Neural networks | slides video(part 1) video(part 2) | |
| 2016/07/11 | Dong Wang | Deep learning (1) | Zhiyuan Caixia Hang Luo | slides video(part 1) video(part 2) NIPS 2015 tutorial |
| 2016/07/12 | Dong Wang | Deep learning (2) | Zhiyuan Caixia Hang Luo | slides video(part 1) video(part 2) Li Deng's ICASSP16 keynote |
| 2016/07/13 | Caixia Wang | Kernel methods | slides video Kernel method book pattern recognition 6-7 | |
| 2016/07/18 | Yang Feng | Graphical model (1) | Jingyi Lin Ying Shi | slides video |
| 2016/07/21 | Dong Wang | Graphical model (2) | Jingyi Lin Ying Shi | slides Yang's slides Jordan's lecture |
| 2016/07/25 | Dong Wang | Unsupervised learning | ||
| 2016/07/26 | Dong Wang | Non parametric models | Gaussian process | |
| 2016/07/27 | Dong Wang | Reinforcement learning | ||
| 2016/07/28 | Maoning Wang | Evolutionary learning | ||
| 2016/07/29 | Dong Wang | Optimization | Convex optimization I Convex optimization II |
