A major objective in data analysis is to identify interesting features or structure in the data. In this chapter, we consider the use of some of the tools and measures discussed in Chapters 9 and 10 to identify interesting structure. The graphical methods discussed in Chapter 8 are also very...
Bruce Ratner, The Significant StatisticianTM, is President and Founder of DM STAT-1 Consulting, the ensample for Statistical Modeling, Analysis and Data Mining, and Machine-learning Data Mining in the DM Space. DM STAT-1 specializes in all standard statistical techniques, and methods using machine...
The elements of statistical learning - Data mining, inference, and prediction 2ed_Trevor Hastie et al. (1) 热度: Seediscussions,stats,andauthorprofilesforthispublicationat:https://.researchgate.net/publication/225734295 TheElementsofStatisticalLearning:DataMining,Inference,andPrediction ...
当当中图上海进口图书旗舰店在线销售正版《[预定]The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition》。最新《[预定]The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition》简介、
11)统计学习基础(Elements of Statistical Learning): 书《The Elements of Statistical Learning: Data Mining, Inference, and Prediction 》(http://www-stat.stanford.edu/~tibs/ElemStatLearn/)里的数据集、函数、例子都被打包放在ElemStatLearn包里(http://cran.r-project.org/web/packages/ElemStatLearn/inde...
The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This ...
期刊简介:Statistical Analysis and Data Mining addresses the broad area of data analysis, including statistical approaches, machine learning, data mining, and applications. Topics include statistical and computational approaches for analyzing massive and complex datasets, novel statistical and/or machine learn...
新任务:读《The elements of Statistical Learning---Data mining, Inference, and Prediction》 给自己一个新任务:读完这本书,写读书笔记 好文要顶 关注我 收藏该文 微信分享 wang_killer 粉丝- 0 关注- 0 +加关注 0 0 » 下一篇: Introduction:Learning from data posted...
1.introduction: statistical learning with Data(参见onenote相关内容) data mining is not new why statistics I designed an efficient algorithm to classify cats and dogs pictures with some errors data usually have noise three aspects of data science ...
Statistical Analysis and Data Mining addresses the broad area of data analysis, including statistical approaches, machine learning, data mining, and applications. Topics include statistical and computational approaches for analyzing massive and complex datasets, novel statistical and/or machine learning method...