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Data science in practice /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data science in practice /Tom Alby.
作者:	Alby, Tom,
面頁冊數:	1 online resource.
附註:	"Copyright �2022 Rheinwerk Verlag GmbH. All rights reserved. First published inthe German language under the title "Data Science in der Praxis" (ISBN 978-3-8362-8462-2) by Rheinwerk Verlag GmbH, Bonn, Germany. Translated into English from German by Tom Alby."
標題:	Data mining.
電子資源:	https://www.taylorfrancis.com/books/9781003426363
ISBN:	9781000955668$q(epub)

Data science in practice /
Alby, Tom,

Data science in practice /Tom Alby. - 1 online resource. - Chapman & Hall/CRC data science series.

"Copyright �2022 Rheinwerk Verlag GmbH. All rights reserved. First published inthe German language under the title "Data Science in der Praxis" (ISBN 978-3-8362-8462-2) by Rheinwerk Verlag GmbH, Bonn, Germany. Translated into English from German by Tom Alby."

Includes bibliographical references and index.

Machine learning, data science and artificial intelligence -- The anatomy of a data science project -- Introduction to R -- Exploratory data analysis -- Forecasting -- Clustering -- Classification -- Other use cases -- Workflows and tools -- Ethical handling of data and algorithms -- Next steps after this book?

"Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles"--

ISBN: 9781000955668$q(epub)

Standard No.: 10.1201/9781003426363doi

Source: 9781003426363Taylor & Francis

LCCN: 2023012065Subjects--Topical Terms:

184440
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.3/12

Data science in practice /
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504 $a Includes bibliographical references and index.
505 0 $a Machine learning, data science and artificial intelligence -- The anatomy of a data science project -- Introduction to R -- Exploratory data analysis -- Forecasting -- Clustering -- Classification -- Other use cases -- Workflows and tools -- Ethical handling of data and algorithms -- Next steps after this book?
520 $a "Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher.
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