“2016 Summer Seminar for Machine learning”版本间的差异

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| 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 || Aodong Li || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt2.%20Linear%20Model.pptx slides] [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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| 2016/07/05  ||Dong Wang  || Linear models || Aodong Lantian|| [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt2.%20Linear%20Model.pptx slides] [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 || Jiyuan Zhang || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt3.%20Neural%20Network.pptx slides]  
 
| 2016/07/08    ||Dong Wang  || Neural networks || Jiyuan Zhang || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt3.%20Neural%20Network.pptx slides]  

2016年7月18日 (一) 05:44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 Lantian 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) Zhiyuan Caixia slides NIPS 2015 tutorial
2016/07/12 Dong Wang Deep learning (2) Zhiyuan Caixia slides Li Deng's ICASSP16 keynote
2016/07/13 Caixia Wang Kernel methods Ziwei Bai slides Kernel method book pattern recognition 6-7
2016/07/18 Yang Feng Graphical model: Bayesian approach Jingyi Lin
2016/07/19 Yang Feng Graphical model: Random field Ying Shi
2016/07/21 Dong Wang Unsupervised learning Zhiyong Zhang
2016/07/22 Dong Wang Non parametric models Maoning Wang Gaussian process
2016/07/25 Dong Wang Reinforcement learning Chao Xing
2016/07/26 Maoning Wang Evolutionary learning
2016/07/27 Dong Wang Optimization Aiting Liu Convex optimization I Convex optimization II