Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics (Chapman & Hall/CRC Computer Science & Data Analysis)

Fionn Murtagh

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商品描述

"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of…quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods…a very useful text and I would certainly use it in my teaching."
- Mark Girolami, Warwick University

Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge.

商品描述(中文翻譯)

《資料科學基礎》是非常受歡迎的作品,確實是該領域非常需要的文獻……與大多數資料分析書籍大相逕庭,後者往往忽略基礎概念,僅僅呈現方法的食譜……這是一本非常有用的書,我肯定會在我的教學中使用它。
- Mark Girolami,華威大學

資料科學涵蓋了傳統的數學、統計學、資料分析、機器學習和模式識別等學科。本書旨在提供一個新的資料科學框架,基於堅實的數學和計算科學基礎。它以易於理解的風格撰寫,適合對該主題感興趣但不一定在所有方面都是專家的讀者。書中包含來自不同領域的廣泛案例研究,並旨在激勵和鼓舞讀者對資料、相關資訊和衍生知識的興趣。