How to Think about Data Science

Name: How to Think about Data Science
Price: 4864 TWD
Availability: OnlineOnly
Author: Miranda-Saavedra, Diego
ISBN: 103237568X

Miranda-Saavedra, Diego

出版商: CRC
出版日期: 2022-12-23
售價: $5,120
貴賓價: 9.5 折 $4,864
語言: 英文
頁數: 376
裝訂: Hardcover - also called cloth, retail trade, or trade
ISBN: 103237568X
ISBN-13: 9781032375687
相關分類: Data Science

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商品描述

This book is a timely and critical introduction for people who are interested in what data science is (and isn't), and how it should be applied. The language is conversational and the content is accessible for readers without a quantitative or computational background, but at the same time, it is also a practical overview of the field for the more technical readers. The overarching goal is to demystify the field and teach the reader how to develop an analytical mindset instead of following recipes. The book takes the scientist's approach of focusing on asking the right question at every step as the most important factor contributing to the success of a data science project. Upon finishing this book, the reader should be asking more questions than I have answered. This book is, therefore, a practising scientist's approach to explaining data science through questions and examples.

商品描述(中文翻譯)

這本書是一本及時且重要的介紹，適合對於資料科學有興趣的人，讓他們了解資料科學的本質以及應用方式。書中使用輕鬆的語言，內容易於理解，即使讀者沒有數量或計算背景，也能夠理解。同時，對於技術性較高的讀者來說，這本書也提供了實用的領域概述。整體目標是揭開資料科學的神秘面紗，教導讀者如何培養分析思維，而不是僅僅遵循固定的方法。本書採用科學家的方法，強調在每個步驟中提出正確問題是資料科學項目成功的最重要因素。讀完本書後，讀者應該會比我回答的問題更多。因此，這本書是一位實踐科學家通過問題和例子來解釋資料科學的方法。

作者簡介

Diego Miranda Saavedra is a data scientist and a financial investor with a technical management and business background. His formal education includes a PhD (data analysis), an MSc in business analytics, and an MS in software engineering from the University of Oxford.

As part of a research career in data science, Diego has made seminal contributions and worked in renowned research institutes around the world. These include the Wellcome Trust Biocentre (Dundee, UK), the Cambridge Institute for Medical Research (Cambridge, UK) and the WPI Immunology Frontier Research Center (Osaka University, Japan) where he led the bioinformatics and genomics research laboratory. While at the University of Cambridge, Diego was also elected a fellow of Wolfson College.

Diego also loves teaching data science and is currently an adjunct professor at the Faculty of Economics of the University of Groningen and at the Universitat Oberta de Catalunya.