2016 Summer Seminar for Machine learning

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2016年7月3日 (日) 14:01Cslt讨论 | 贡献的版本

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Date Speaker Title Materials
2016/07/04 Dong Wang Machine learning overview Algebra review probability review Gaussian distribution
2016/07/05 Dong Wang Linear models NG's lecture 1 AG's lecture 2
2016/07/ Dong Wang Neural networks
2016/07/ Dong Wang Deep learning (1)
2016/07/ Dong Wang Deep learning (2)
2016/07/ Dong Wang Unsupervised learning
2016/07/ Caixia Wang Kernel methods
2016/07/ Dong Wang Probabilistic learning theory
2016/07/ Yang Feng Graphical model: Bayesian approach
2016/07/ Yang Feng Graphical model: Random field
2016/07/ Dong Wang No 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