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Data science in practice / Tom Alby.

By: Language: English Original language: German Series: Chapman & Hall/CRC data science seriesPublisher: Boca Raton, FL ; London : CRC Press, Taylor & Francis Group, 2024Copyright date: ©2022Description: xvi, 301 pages : illustrations (some color) ; 23 cmContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Uniform titles:
  • Data Science in der Praxis. English
Subject(s): Additional physical formats: Print version:: Data science in practiceDDC classification:
  • 23/eng/20230818 006.312 Al15 2024
LOC classification:
  • QA76.9.D343 2024
Contents:
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?
Summary: "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"-- Provided by publisher.
Holdings
Item type Current library Collection Call number Status Barcode
Books Books College Library General Circulation Section GC GC 006.312 Al15 2024 (Browse shelf(Opens below)) Available HNU005556

"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"-- Provided by publisher.

College of Engineering and Computer Studies Bachelor of Science in Information Technology

In English

Description based on print version record and CIP data provided by publisher.

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