Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis
暫譯: 數據科學家的統計學：機率、統計與數據分析入門

Kaptein, Maurits, Van Den Heuvel, Edwin

Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis

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商品描述

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable R] code - with a rigorous treatment of probability and statistical principles.

Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.

商品描述(中文翻譯)

本書為數據科學、計算機科學及定量社會科學的本科生提供數據分析的入門介紹。它獨特地結合了實踐導向的數據分析方法，並以眾多真實數據範例和可重用的 R 代碼作為支持，同時對概率和統計原則進行嚴謹的處理。

當前的本科概率論或統計學教科書往往缺乏應用及對現代方法（如自助法 bootstrapping、貝葉斯方法 Bayes 等）的入門介紹，而應用數據分析書籍則常常缺乏嚴謹的理論處理，本書則提供了一個可接近但徹底的數據分析入門，使用結合這兩種觀點的統計方法。本書進一步專注於處理大型數據集和串流數據的方法，因此提供了一個針對數據科學的統計方法單課程介紹。

作者簡介

Prof. Dr. Edwin van den Heuvel works on statistical methods for analyzing cross-sectional and longitudinal data from experimental and observational studies in the domain of health and life sciences. He has been teaching many different topics on statistics to (PhD, master, and bachelor) students from different backgrounds (medicine, engineering, mathematics, etc.) He is full-time professor in statistics at Eindhoven University of Technology and has affiliations at other universities. He publishes mostly in peer-reviewed influential statistical, epidemiological, and medical journals. Prof. Dr. Maurits Kaptein works on statistical methods for sequential experimentation. He has extensive experience in research and education in the fields of statistics, machine learning, and research methodology. Maurits works for the Jheronimus Academy of Data Science and for the University of Tilburg. His work has been published in influential journals such as Bayesian Analysis and the Journal of Interactive Marketing.

作者簡介(中文翻譯)

埃德溫·范登赫維爾教授（Prof. Dr. Edwin van den Heuvel）專注於健康與生命科學領域中，分析實驗和觀察研究的橫斷面和縱向數據的統計方法。他曾教授多個統計主題，對象包括來自不同背景（醫學、工程、數學等）的博士、碩士和學士學生。他是埃因霍溫科技大學的全職統計教授，並在其他大學有兼職職位。他的研究成果主要發表在同行評審的影響力統計、流行病學和醫學期刊上。

毛里茨·卡普廷教授（Prof. Dr. Maurits Kaptein）專注於序列實驗的統計方法。他在統計學、機器學習和研究方法論領域擁有豐富的研究和教育經驗。毛里茨在耶羅尼穆斯數據科學學院（Jheronimus Academy of Data Science）和蒂爾堡大學（University of Tilburg）工作。他的研究成果發表在《貝葉斯分析》（Bayesian Analysis）和《互動行銷期刊》（Journal of Interactive Marketing）等影響力期刊上。

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