Synopsis
This book addresses growing demand in the visual humanities for foundational knowledge in data analysis, image processing, and artificial intelligence. Intended for readers without prior technical knowledge, its eighteen chapters introduce key concepts in data science through examples from art history, visual computing, and cloud technologies. For advanced readers, it explores how digital methods enhance our understanding of our cultural past. Focusing on image-based humanities research, the book demonstrates practical applications using open source software such as R, RStudio, and ImageMagick, along with open data sets from institutions like the MoMA, the Met, and the Rijksmuseum.
Ideal for students, researchers, and professionals in art history, digital humanities, and museum studies, this book bridges the gap between technology and the humanities, making complex digital methods accessible to a broad audience.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Harald Klinke, M.Sc., leads the Big Data Analysis business unit in a German federal authority and serves as a private lecturer at Ludwig-Maximilians-University Munich (LMU). As the founder and editor-in-chief of the International Journal for Digital Art History, he plays a key role in shaping discourse and research in the field, integrating data science with visual culture. His expertise spans art history, digital humanities, and artificial intelligence, with a focus on computational approaches to cultural heritage. Through courses, workshops, and summer schools, Dr. Klinke equips scholars and professionals with the tools to apply digital methods in research and practice. Beyond academia, he has advised institutions on leveraging technology for cultural analysis, fostering innovation at the intersection of AI, data, and the arts.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Cultural Data Science (eng)
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Hardcover. Etat : new. Hardcover. This book addresses growing demand in the visual humanities for foundational knowledge in data analysis, image processing, and artificial intelligence. Intended for readers without prior technical knowledge, its eighteen chapters introduce key concepts in data science through examples from art history, visual computing, and cloud technologies. For advanced readers, it explores how digital methods enhance our understanding of our cultural past. Focusing on image-based humanities research, the book demonstrates practical applications using open source software such as R, RStudio, and ImageMagick, along with open data sets from institutions like the MoMA, the Met, and the Rijksmuseum.Ideal for students, researchers, and professionals in art history, digital humanities, and museum studies, this book bridges the gap between technology and the humanities, making complex digital methods accessible to a broad audience. mso-fareast-language: EN-US;">Ideal for students, researchers, and professionals in art history, digital humanities, and museum studies, this book bridges the gap between technology and the humanities, making complex digital methods accessible to a broad audience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031881299
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses growing demand in the visual humanities for foundational knowledge in data analysis, image processing, and artificial intelligence. Intended for readers without prior technical knowledge, its eighteen chapters introduce key concepts in data science through examples from art history, visual computing, and cloud technologies. For advanced readers, it explores how digital methods enhance our understanding of our cultural past. Focusing on image-based humanities research, the book demonstrates practical applications using open source software such as R, RStudio, and ImageMagick, along with open data sets from institutions like the MoMA, the Met, and the Rijksmuseum.Ideal for students, researchers, and professionals in art history, digital humanities, and museum studies, this book bridges the gap between technology and the humanities, making complex digital methods accessible to a broad audience. 161 pp. Englisch. N° de réf. du vendeur 9783031881299
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Cultural Data Science: An Introduction to R
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Cultural Data Science (Hardcover)
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ISBN 13 : 9783031881299
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Hardcover. Etat : new. Hardcover. This book addresses growing demand in the visual humanities for foundational knowledge in data analysis, image processing, and artificial intelligence. Intended for readers without prior technical knowledge, its eighteen chapters introduce key concepts in data science through examples from art history, visual computing, and cloud technologies. For advanced readers, it explores how digital methods enhance our understanding of our cultural past. Focusing on image-based humanities research, the book demonstrates practical applications using open source software such as R, RStudio, and ImageMagick, along with open data sets from institutions like the MoMA, the Met, and the Rijksmuseum.Ideal for students, researchers, and professionals in art history, digital humanities, and museum studies, this book bridges the gap between technology and the humanities, making complex digital methods accessible to a broad audience. mso-fareast-language: EN-US;">Ideal for students, researchers, and professionals in art history, digital humanities, and museum studies, this book bridges the gap between technology and the humanities, making complex digital methods accessible to a broad audience. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783031881299
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Cultural Data Science: An Introduction to R
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Cultural Data Science | An Introduction to R
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Buch. Etat : Neu. Cultural Data Science | An Introduction to R | Harald Klinke | Buch | xiii | Englisch | 2025 | Springer | EAN 9783031881299 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 133430738
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses growing demand in the visual humanities for foundational knowledge in data analysis, image processing, and artificial intelligence. Intended for readers without prior technical knowledge, its eighteen chapters introduce key concepts in data science through examples from art history, visual computing, and cloud technologies. For advanced readers, it explores how digital methods enhance our understanding of our cultural past. Focusing on image-based humanities research, the book demonstrates practical applications using open source software such as R, RStudio, and ImageMagick, along with open data sets from institutions like the MoMA, the Met, and the Rijksmuseum.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg Englisch. N° de réf. du vendeur 9783031881299
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