Springer Texts in Statistics(共118册),这套丛书还有 《Monte Carlo Statistical Methods》《Advanced Linear Modeling》《Optimization》《Applying Generalized Linear Models (Springer Texts in Statistics)》《Log-Linear Model
An Introduction to Statistical Learningprovides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This...
statistical learning has become a critical toolkit for anyone who wishes to understand data.An Introduction to Statistical Learningprovides a broad and less technical treatment of key topics in statistical learning. This book is appropriate for anyone who wishes to use contemporary tools for data...
An Introduction to Statistical Learning: With Applications in R; Springer Publishing Company: New York, NY, USA, 2014.James, G.; Witten, D.; Hastie, T.; Tibshirani, R. An Introduction to Statistical Learning: With Applications in R; Springer: New York, NY, USA, 2014....
An Introduction to Statistical Learning with Applications in R - Gareth J.et al. Python Machine Learning- Sebastian Raschka Programming Collective Intelligence (集体编程智慧) - Toby Segaran 机器学习 - 周志华 统计学习方法 - 李航 最近我阅读了上面的书籍,想和大家分享一下我的主观评价。在每本书的总评...
带你读机器学习经典(一): An Introduction to Statistical Learning (Chapter 1&2) 0. 前言 - 我为什么要写这一系列文章? 自从上个月回答了【如何看待「机器学习不需要数学,很多算法封装好了,调个包就行」这种说法?】以后,我收到了很多朋友的评论和私信,希望我能谈谈新手如何快速入门机器学习。
内容提示: forward stepwise selectionUnlike best subset selection, which involved fitting 2 p models, forward stepwise selection involves fitting one null model, along with p − k modelsin the k th iteration, for . This amounts to a total of models. This is asubstantial difference: ...
1. An introduction to statistical learning: with applications in R [J] . Charalambos Poullis Computing reviews . 2014,第12期 机译:统计学习入门:在R中的应用 2. An Introduction to Statistical Learning (with Applications in R) [J] . 川野 秀一 日本統計学会誌 . 2014,第2期 机译:统计...
Gareth James• Daniela Witten •Trevor Hastie• Robert TibshiraniAn Introduction to StatisticalLearningwith Applications in RSecond Edition123 First Printing: August 4, 2021
Title: An Introduction to Statistical Learning: with Applications in R, 2nd Edition Author(s) Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani Publisher: Springer; 2nd ed. (2021); eBook (Corrected Edition, June 21, 2023) Hardcover: 622 pages eBook: PDF (615 pages) Language:...