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An introduction to statistics with Python 来自 Springer 喜欢 0 阅读量: 212 作者: T Haslwanter 摘要: This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as ...
Top Free Computer Networking Books🌠 - 100% Free or Open Source! Title:An Introduction to Statistical Learning: with Applications in Python Author(s)Gareth James,Daniela Witten, Trevor Hastie, Robert Tibshirani Publisher:Springer; 1st ed. 2023 edition (September 8, 2023); eBook (July 5, 2023...
Haslwanter, T. (2016). An introduction to statistics with Python with applications in the life sciences. Cham, Switzerland: Springer.Haslwanter, T.: An Introduction to Statistics with Python: with applications in the life sciences. Springer, Berlin (2016). (ISBN 978-3319283159)...
He has extensive experience in medical research, with a focus on the diagnosis and tre... (展开全部) 喜欢读"An Introduction to Statistics with Python"的人也喜欢的电子书 ··· 支持Web、iPhone、iPad、Android 阅读器 机器学习实战 39.99元 信号与噪声 14.99元 喜欢读"An Introduction to Statis...
斯坦福大学《统计学习导论2023Python版|An Introduction to Statistical Learning with Python》中英字幕 2.9万播放 [001]1.1 Opening Remarks.zh_en 18:19 [002]8 Years Later (Second Edition of the Course).zh_en 02:19 [003].Third Edition of the Course I 2023.zh_en 01:49 [004]1.2 Examples and ...
🌠 Top Free Python Books - 100% Free or Open Source! 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)...
An Introduction to Statistics with Python(Springer,2016) This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from...
Python相关资料 An Introduction to Statistical Learning 下载积分: 700 内容提示: Springer Texts in StatisticsSeries Editors:G. CasellaS. FienbergI. OlkinFor further volumes:http://www.springer.com/series/417 文档格式:PDF | 页数:440 | 浏览次数:65 | 上传日期:2022-07-07 18:21:39 | 文档星级:...
Python版本(ISLP)于2023年出版。 每个版本的书末都有一个实验室,展示了该章节中的概念在R或Python中的应用。 各章节涵盖以下主题: 什么是统计学习? 回归 分类 重采样方法 线性模型选择和正则化 超越线性 基于树的方法 支持向量机 深度学习 生存分析 无监督学习 多重检验 展开更多...