文件名称:
Machine learning a Bayesian and optimization perspective
开发工具:
文件大小: 26mb
下载次数: 0
上传时间: 2018-12-16
详细说明： This book is about learning from data; in particular, our intent is to detect and unveil a possible hidden structure and regularity patterns associated with their generation mechanism. This information in turn helps our analysis and understanding of the nature of the data, which can be used to make predictions for the future. Besides modeling the underlying structure, a major direction of signifcant interest in Machine Learning is to develop effcient algorithms for designing the models and also for analysis and prediction. The l atter part is gaining importance in the dawn of what we call the big data era, when one has to deal with massive amounts of data, which may be represented in spaces of very large dimensionality. Analyzing data for such applications sets demands on algorithms to be computationally effcient and at the same time robust in their performance, because some of these data are contaminated with large noise and also, in some cases, the data may have missing values. ...展开详情收缩
(系统自动生成,下载前可以参看下载内容)
下载文件列表
相关说明
- 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
- 本站是交换下载平台，提供交流渠道，下载内容来自于网络，除下载问题外，其它问题请自行百度。
- 本站已设置防盗链，请勿用迅雷、QQ旋风等多线程下载软件下载资源，下载后用WinRAR最新版进行解压.
- 如果您发现内容无法下载，请稍后再次尝试；或者到消费记录里找到下载记录反馈给我们.
- 下载后发现下载的内容跟说明不相乎，请到消费记录里找到下载记录反馈给我们，经确认后退回积分.
- 如下载前有疑问，可以通过点击"提供者"的名字，查看对方的联系方式，联系对方咨询.
相关搜索:
