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How to think about data science /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
タイトル / 著者:	How to think about data science // Diego Miranda-Saavedra.
著者:	Miranda-Saavedra, Diego.
出版された:	Boca Raton :CRC Press,c2023.
記述:	xxiii, 275 p. :ill. (some col.), maps (chiefly col.) ;26 cm.
主題:	Statistics. -
国際標準図書番号 (ISBN):	9781032375687
国際標準図書番号 (ISBN):	9781032369631
国際標準図書番号 (ISBN):	9781003340850

How to think about data science /
Miranda-Saavedra, Diego.

How to think about data science /Diego Miranda-Saavedra. - 1st ed. - Boca Raton :CRC Press,c2023. - xxiii, 275 p. :ill. (some col.), maps (chiefly col.) ;26 cm. - Chapman & Hall/CRC data science series.

Includes bibliographical references (p. 247-270) and index.

"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"--

ISBN: 9781032375687

LCCN: 2022024832Subjects--Topical Terms:

146785
Statistics.

LC Class. No.: QA276.12 / .M57 2023

Dewey Class. No.: 001.4/22

How to think about data science /
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050 0 0 $a QA276.12 $b .M57 2023
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100 1 $a Miranda-Saavedra, Diego. $3 1000153241
245 1 0 $a How to think about data science / $c Diego Miranda-Saavedra.
250 $a 1st ed.
260 $a Boca Raton : $b CRC Press, $c c2023.
300 $a xxiii, 275 p. : $b ill. (some col.), maps (chiefly col.) ; $c 26 cm.
490 0 $a Chapman & Hall/CRC data science series
504 $a Includes bibliographical references (p. 247-270) and index.
520 $a "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"-- $c Provided by publisher.
650 0 $a Statistics. $3 146785
650 0 $a Information visualization. $3 189450
650 0 $a Artificial intelligence. $3 148186
650 0 $a Algorithms. $3 149403