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Cultural Data Science Vital Source e-bog
Harald Klinke
(2025)
Springer Nature
452,00 kr.
Leveres umiddelbart efter køb
Cultural Data Science Vital Source e-bog
Harald Klinke
(2025)
Springer Nature
447,00 kr.
Leveres umiddelbart efter køb
Søgbar e-bog
Cultural Data Science Vital Source e-bog
Harald Klinke
(2025)
Springer Nature
894,00 kr.
Leveres umiddelbart efter køb
Cultural Data Science Vital Source e-bog
Harald Klinke
(2025)
Springer Nature
894,00 kr.
Leveres umiddelbart efter køb
Cultural Data Science
An Introduction to R
Harald Klinke
(2025)
Sprog: Engelsk
Springer
1.063,00 kr.
Denne bog er endnu ikke udgivet. Den forventes May 2025.
Detaljer om varen
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Springer Nature (Maj 2025)
- ISBN: 9783031881305R180
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.
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- Vital Source 90 day rentals (dynamic pages)
- Udgiver: Springer Nature (Maj 2025)
- ISBN: 9783031881305R90
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.
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Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
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Bookshelf appen: 90 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
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Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Springer Nature (Maj 2025)
- ISBN: 9783031881305
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.
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Bookshelf online: 365 dage fra købsdato.
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Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Bookshelf online: 365 dage fra købsdato.
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Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
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Detaljer om varen
- Vital Source 365 day rentals (dynamic pages)
- Udgiver: Springer Nature (Maj 2025)
- ISBN: 9783031881305R365
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.
Licens varighed:
Bookshelf online: 365 dage fra købsdato.
Bookshelf appen: 365 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Bookshelf online: 365 dage fra købsdato.
Bookshelf appen: 365 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Hardback: 200 sider
- Udgiver: Springer (Maj 2025)
- ISBN: 9783031881299
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.
Chapter 1 Introduction.-
Chapter 2 Setting up R.-
Chapter 3 First Steps.-
Chapter 4 First Data.-
Chapter 5 Exploring Data.-
Chapter 6 Compare data.-
Chapter 7 Case Study
1: Picasso from creation to acquisition.-
Chapter 8 Subdividing and combining data sets.-
Chapter 9 Case Study
2: Photography Aspect Ratios.-
Chapter 10 Case Study
3: Overview of the MNBAQ Dataset.-
Chapter 11 Stacked bar plot.-
Chapter 12 Working with Images.-
Chapter 13 Case Study: Image plot.-
Chapter 14 Dimensions.-
Chapter 15 Network Visualizations.-
Chapter 16 Image Analysis.-
Chapter 17 Cloud Computing.-
Chapter 18 Epilogue: The Future of Cultural Data Science.
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