文件名称:Machine-Learning
-
所属分类：
- 标签属性：
- 上传时间：2013-06-09
-
文件大小：2.05mb
-
已下载：0次
-
提 供 者：
-
相关连接：无下载说明：别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容来自于网络，使用问题请自行百度
斯坦福大学的Andrew Ng讲述的机器学习课程讲义-Stanford Andrew Ng tells the machine learning course notes
(系统自动生成,下载前可以参看下载内容)
下载文件列表
notes01_Linear Regression; Classification and logistic regression; Generalized Linear Models.pdf
notes02_Generative Learning algorithms( Gaussian discriminant analysis; Naive Bayes Classifier).pdf
notes03_Support Vector Machines.pdf
notes04_Learning Theory.pdf
notes05_Regularization and model selection.pdf
notes06_The perceptron and large margin classifers.pdf
notes07a_The k-means clustering algorithm.pdf
notes07b_Mixtures of Gaussians and the EM algorithm.pdf
notes08_The EM algorithm.pdf
notes09_Factor analysis.pdf
notes10_Principal components analysis.pdf
notes11_Independent Components Analysis.pdf
notes12_Reinforcement Learning and Control.pdf
notes02_Generative Learning algorithms( Gaussian discriminant analysis; Naive Bayes Classifier).pdf
notes03_Support Vector Machines.pdf
notes04_Learning Theory.pdf
notes05_Regularization and model selection.pdf
notes06_The perceptron and large margin classifers.pdf
notes07a_The k-means clustering algorithm.pdf
notes07b_Mixtures of Gaussians and the EM algorithm.pdf
notes08_The EM algorithm.pdf
notes09_Factor analysis.pdf
notes10_Principal components analysis.pdf
notes11_Independent Components Analysis.pdf
notes12_Reinforcement Learning and Control.pdf
1999-2046 搜珍网 All Rights Reserved.
本站作为网络服务提供者，仅为网络服务对象提供信息存储空间，仅对用户上载内容的表现方式做保护处理，对上载内容本身不做任何修改或编辑。