文件名称：Stanford Machine Learning Course Notes (Andrew Ng)
文件大小：2.27MB
文件格式：PDF
更新时间：2015-07-20 03:52:39
Stanford Machine Learning Andrew Ng
Stanford Machine Learning公开课的Notes.没有时间上公开课的朋友们可以看Note迅速学习一些机器学习的方法。 Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control.