“2016 Summer Seminar for Machine learning”版本间的差异
来自cslt Wiki
| 第4行： | 第4行： | ||
{| class="wikitable" | {| class="wikitable" | ||
| − | ! Date !! Speaker!! Title !! | + | ! Date !! Speaker!! Title !! Owner !! Materials |
|- | |- | ||
| 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] | ||
2016年7月14日 (四) 03:06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 | Aodong Li | slides NG's lecture 1 NG's lecture 2 |
| 2016/07/08 | Dong Wang | Neural networks | Jiyuan Zhang | slides |
| 2016/07/11 | Dong Wang | Deep learning (1) | Caixia Wang, Zhiyuan Tang | slides NIPS 2015 tutorial |
| 2016/07/12 | Dong Wang | Deep learning (2) | Caixia Wang, Zhiyuan Tang | slides Li Deng's ICASSP16 keynote |
| 2016/07/13 | Caixia Wang | Kernel methods | Ziwei Bai | slides Kernel method book pattern recognition 6-7 |
| 2016/07/ | Yang Feng | Graphical model: Bayesian approach | Jingyi Lin | |
| 2016/07/ | Yang Feng | Graphical model: Random field | ||
| 2016/07/ | Dong Wang | Unsupervised learning | ||
| 2016/07/ | Dong Wang | Non parametric models | Gaussian process | |
| 2016/07/ | Dong Wang | Reinforcement learning | ||
| 2016/07/ | Maoning Wang | Evolutionary learning | ||
| 2016/07/ | Dong Wang | Optimization | Convex optimization I Convex optimization II |
