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  • MPI Ethno. Forsch.  (7)
  • Cambridge, Massachusetts : The MIT Press  (7)
  • Computer Science  (7)
Datasource
Material
Language
Years
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    Cambridge, Massachusetts : The MIT Press
    ISBN: 9780262374651 , 9780262374668
    Language: English
    Pages: 1 Online-Ressource (x, 388 pages)
    Parallel Title: Erscheint auch als Becker, Christoph Insolvent
    DDC: 303.48/34
    RVK:
    Keywords: Electronic data processing Social aspects ; Computer systems Environmental aspects ; Information technology Social aspects ; Sustainable development ; Electronic data processing - Social aspects ; Information technology - Social aspects ; Sustainable development
    Abstract: "This book proposes a framework for the design of systems that will advance social and environmental justice along with technical and economic objectives"--
    Description / Table of Contents: Intro -- Title Page -- Copyright -- Contents -- Acknowledgments -- Introduction: Just Sustainability Design -- I. Is Computing Insolvent? -- 1. The Design of Sustainability -- 2. Just Sustainabilities and the Debts of Computing -- 3. The Myths of Computing -- 4. Problemism: The Insolvency of Computational Thinking -- II. Restructuring -- 5. Computing's Critical Friends -- 6. Software Is Never Neutral: How Do Values Become Facts? -- 7. People Are More Than Rational: Beware the Normative Fallacy -- 8. Problems Are Framings: The Discordant Pluralism of Just Sustainability Design
    Description / Table of Contents: III. Reorienting Systems Design -- 9. Leverage Points for Change: From Insolvent Computing to Just Sustainability Design -- 10. Critical Requirements Practice -- 11. Searching for Just, Sustainable Design Decisions -- 12. A Silicone Ring: Social Responsibility and Collective Action -- Conclusion: This Changes Computing -- References -- Index
    Note: Includes bibliographical references and index
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    ISBN: 9780262047241
    Language: English
    Pages: xxi, 288 Seiten
    Series Statement: Management on the cutting edge series
    Parallel Title: Erscheint auch als Davenport, Thomas H., 1954 - Working with AI
    Parallel Title: Erscheint auch als Davenport, Thomas H., 1954 - Working with AI
    DDC: 658/.0563
    RVK:
    RVK:
    Keywords: Mensch-Maschine-System ; Künstliche Intelligenz ; Arbeitswelt ; Automatisierte Produktion ; Arbeitsorganisation ; Welt ; Artificial intelligence Economic aspects ; Artificial intelligence Industrial applications ; Information technology Management ; Human-computer interaction ; Fallstudiensammlung
    Abstract: "An exploration of the future of work featuring real-world profiles of changing jobs and work arrangements in light of human/AI interaction."
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Book
    Book
    Cambridge, Massachusetts : The MIT Press
    ISBN: 9780262537018
    Language: English
    Pages: 237 Seiten
    Edition: First MIT Press paperback edition
    DDC: 303.4834
    RVK:
    RVK:
    Keywords: Künstliche Intelligenz ; Beschränkung ; Fehler ; Technikbewertung ; Informationsgesellschaft ; Kritik
    Note: Literaturverzeichnis: Seiten 211-225
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Book
    Book
    Cambridge, Massachusetts : The MIT Press
    ISBN: 9780262535434
    Language: English
    Pages: xi, 264 Seiten , Diagramme , 18 cm
    Series Statement: The MIT Press essential knowledge series
    Parallel Title: Erscheint auch als Kelleher, John D., 1974 - Data science
    Parallel Title: Erscheint auch als Kelleher, John D., 1974 - Data science
    DDC: 005.7
    RVK:
    RVK:
    Keywords: Big data ; Machine learning ; Data mining ; Quantitative research ; Big data ; Data mining ; Machine learning ; Quantitative research ; Einführung ; Data Science ; Big Data ; Maschinelles Lernen
    Abstract: The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. Einführung in das Gebiet der Datenwissenschaft.
    Note: Hier auch später erschienene, unveränderte Nachdrucke
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    ISBN: 9780262037310
    Language: English
    Pages: 1 Online-Ressource (xiv, 265 Seiten)
    Parallel Title: Erscheint auch als Peters, Jonas, 1984 - Elements of causal inference
    RVK:
    Keywords: Mobile & handheld device programming / Apps programming ; Machine learning ; Neural networks & fuzzy systems ; Causation ; Computer algorithms ; Inference ; Logic, Symbolic and mathematical ; Machine learning ; Kausalität ; Maschinelles Lernen ; Algorithmus ; Inferenzstatistik
    Abstract: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts
    Note: English
    URL: Volltext  (OAPEN Library: download the publication)
    URL: Volltext  (OAPEN Library: description of the publication)
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Book
    Book
    Cambridge, Massachusetts : The MIT Press
    ISBN: 9780262529129
    Language: English
    Pages: xi, 233 Seiten , Illustrationen , 18 cm
    Series Statement: The MIT Press essential knowledge series
    Parallel Title: Erscheint auch als Neff, Gina, 1971 - Self-tracking
    DDC: 610.285
    RVK:
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Patient self-monitoring ; Self-monitoring ; Self-care, Health Technological innovations ; Medical telematics ; Medical innovations Social aspects ; Information technology Social aspects ; Monitoring ; Selbstüberwachung ; E-Health ; Smart Device
    Note: Includes bibliographical references and index
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    Book
    Book
    Cambridge, Massachusetts : The MIT Press
    ISBN: 9780262029513 , 9780262529969
    Language: English
    Pages: XXIX, 209 Seiten , Illustrationen, Karten , 24 cm
    Parallel Title: Erscheint auch als Hu, Tung-Hui, 1978 - A prehistory of the cloud
    DDC: 004.6
    RVK:
    Keywords: Computer networks Popular works History ; Internet Popular works Social aspects ; Cloud Computing ; Cloud Computing
    Note: Bibliografie Seite [177]-194, Index Seite [195]-209
    Library Location Call Number Volume/Issue/Year Availability
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