Lecture01-机器学习.清华大学.龙星计划.2012

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• 一个韩某某:可以的
• 菲舍尔:1.Introduction to ML and Review of Linear Algebra,Probability,Statistics 2.Linear Model 3.Traing versus Testing and Linear Regularization 4.Linear Classification 5.Basis Expansion and Nonlinear SVM 6.Model Selection 7.Model Combination 8.Boosting 9.Overview of Learning Theory 10.Optimization in Machine Learning 11.Online Learning 12.Sparsity Models 13.Introduction to Graphical Models 14.Structured Learning 15.Deep Learning and Feature Learning 16.Transfer Learning and Semi-supervised Learning 17.Recommendation Systems 18.Computer Vision 19.Learning on the Web
• wangzs:UP 主牛逼啊。。。这个资源找了一会儿没找到，没想到 B站居然有。。_(:3」∠)_
• 尕姑娘:好高端