The Elements of Statistical Learning 新书_图书内容介绍_剧情呢
剧情呢 国产剧 港剧 泰剧

The Elements of Statistical Learning读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 745页 9.4 2020 Springer
定价 出版日期 最近访问 访问指数
GBP 62.99 2020-02-20 … 2020-03-15 … 5
主题/类型/题材/标签
机器学习,统计学习,Statistics,统计,数据挖掘,统计学,数学,Data-Mining,
作者
Trevor Hastie      ISBN:9780387848570    原作名/别名:《》
内容和作者简介
The Elements of Statistical Learning摘要

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. 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 book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for "wide" data (p bigger than n), including multiple testing and false discovery rates.

作者简介

Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surf...

本书后续版本
未发行或暂未收录
喜欢读〖The Elements of Statistical Learning〗的人也喜欢:

  • Algebraic Geometry and Statistical Learning Theory 统计学习,机器学习,数学,代数几何,计算机科学,统计,计算机-ai,计算, 2020-02-20 …
  • The Elements of Statistical Learning 机器学习,统计学习,数据挖掘,统计学,Statistics,数学,Learning,Data-Mining, 2020-02-20 …
  • Statistical Learning Theory 统计学习,机器学习,Statistics,MachineLearning,数学,Vapnik,统计学,Theory, 2020-02-20 …
  • An Introduction to Statistical Learning 机器学习,统计学习,R,统计,数据分析,Statistics,统计学,machine_learning, 2020-02-20 …
  • Statistical Learning Theory  2020-02-20 …
  • Elements of the Theory of Computation 计算机科学,计算机,数学,自动机,Theory,经典,教材,计算机技术, 2020-02-20 …
  • The Elements of Statistical Learning 机器学习,统计学习,Statistics,统计,数据挖掘,统计学,数学,Data-Mining, 2020-02-20 …
  • The Nature Of Statistical Learning Theory 人工智能/机器学习, 2020-02-20 …
  • Statistical Learning with Sparsity Statistics,sparsity,机器学习,lasso,统计学习,统计,大数据,统计学, 2020-02-20 …
  • An Elementary Introduction to Statistical Learning 机器学习,统计学习,数学,machine_learning,MachineLearning,统计学,统计哲学,归纳逻辑, 2020-02-20 …
  • 友情提示

    剧情呢,免费看分享剧情、挑选影视作品、精选好书简介分享。