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  1. Barcode
    Author: Frith, Jordan
    Published: 2024
    Publisher:  Bloomsbury Academic, New York

    Object Lessons is a series of short, beautifully designed books about the hidden lives of ordinary things.Barcodes are about as ordinary as an object can be. Billions of them are scanned each day and they impact everything from how we shop to how we... more

    Location:
    Hochschule für Technik, Wirtschaft und Kultur Leipzig, Hochschulbibliothek
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

     

    Object Lessons is a series of short, beautifully designed books about the hidden lives of ordinary things.Barcodes are about as ordinary as an object can be. Billions of them are scanned each day and they impact everything from how we shop to how we travel to how the global economy is managed. But few people likely give them more than a second thought. In a way, the barcode s ordinariness is the ultimate symbol of its success.However, behind the mundanity of the barcode lies an important history. Barcodes bridged the gap between physical objects and digital databases and paved the way for the contemporary Internet of Things, the idea to connect all devices to the web. They were highly controversial at points, protested by consumer groups and labor unions, and used as a symbol of dystopian capitalism and surveillance in science fiction and art installations. This book tells the story of the barcode s complicated history and examines how an object so crucial to so many parts of our lives became more ignored and more ordinary as it spread throughout the world.Object Lessons is published in partnership with an essay series in The Atlantic "arcodes are one of the most ignored yet impactful objects of the last fifty years, and they have a much more interesting and controversial history than most people realize"--

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781501399916
    Series: Object lessons
    Subjects: Bar coding; Bar coding; COM089000; COMPUTERS / Database Management / General; COMPUTERS / Social Aspects / General; Data capture & analysis; Datenerfassung und -analyse; Digital- und Informationstechnologien: soziale und ethische Aspekte; Ethical & social aspects of IT; LITERARY CRITICISM / Semiotics & Theory; PHILOSOPHY / Aesthetics; Philosophie Ästhetik; Philosophy: aesthetics; Semiotics / semiology; Semiotik und Semiologie
    Scope: xii, 138 Seiten
    Notes:

    Includes bibliographical references and index

    1. The little black lines that changed the world2. How we almost ended up with a bullseye barcode3. An early bridge between the digital and the physical4. Consumer protests, labor rights, and automation5. President Bush and the barcode6. Barcodes and the Bible7. The cultural imaginary of the barcode8. The long and winding road of the QR Code9. Barcodes and fifty years of misplaced eulogiesNotesIndex
  2. The Routledge Handbook of Remix Studies and Digital Humanities
    Contributor: Gallagher, Owen (HerausgeberIn); Navas, Eduardo (HerausgeberIn); burrough, xtine (HerausgeberIn)
    Published: 2023
    Publisher:  Taylor & Francis Ltd, London

    In this comprehensive and highly interdisciplinary companion, contributors reflect on remix across the broad spectrum of media and culture, with each chapter offering in-depth reflections on the relationship between remix studies and the digital... more

     

    In this comprehensive and highly interdisciplinary companion, contributors reflect on remix across the broad spectrum of media and culture, with each chapter offering in-depth reflections on the relationship between remix studies and the digital humanities

     
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    Source: Union catalogues
    Contributor: Gallagher, Owen (HerausgeberIn); Navas, Eduardo (HerausgeberIn); burrough, xtine (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9780367698805
    Series: Routledge Media and Cultural Studies Handbooks
    Subjects: COM089000; Cultural studies; Design, industrielle und kommerzielle Kunst, Illustration; Humanities; Industrial / commercial art & design; Kulturwissenschaften; Kunst, allgemein; Literary studies: general; Literaturwissenschaft, allgemein; Media studies; Medienwissenschaften; Music; Musik; Research methods: general; SOCIAL SCIENCE / Media Studies; TRU011000; The arts: general issues
    Scope: 562 Seiten
    Notes:

    Introduction Part I Epistemology and Theory 1. A Brief History of Remix: From Caves to Networks 2. The More Things Change: Who Gets Left Behind as Remix Goes Mainstream? 3. Experiments in Performance, Identity, and Digital Space: 48 Mystory Remixes, Remixed 4. Production Plus Consumption: Remix and the Digital Humanities 5. Immersive Feminist Remix: An Affect Dissonance Methodology 6. Versioning Buddhism: Remix and Recyclability in the Study of Religion 7. Monster Theory 2.0: Remix, the Digital Humanities, and the Limits of Transgression 8. Samping New Literacies: Remix Studies and Digital Humanities in a Cross-Disciplinary Approach 9. RS (Remix Studies) + DH (Digital Humanities): Critical Reflections on Chance and Strategy for Empathy Part II Accessibility and Pedagogy 10. Designing the Remix Library 11. Interdisciplinary Design and Transcultural Collaboration as Transformative Remix Tools 12. In the Mix, the Collaborative Remix to Repair, Reconnect, Rebuild 13. Remixing Literature in the Classroom: From Canons to Playlists in the Study of Latinx Literature and Beyond 14. Metadata for Digital Teaching: Enabling Remix for Open Educational Resources 15. Hack It! DIY Divine Tools: An Art Hack Implemented as New Media Pedagogy in the Public Liberal Arts 16. On the Capabilities of Hip Hop-Inspired Design Research: An Annotated Syllabus 17. Internet Memes as Remixes: Simpsons Memes and the Swarm Archive 18. Poetically Remixing the Archive Part III Modularity and Ontology 19. Hallucination or Classification: How Computational Literature Interacts with Text Analysis 20. Machine-Driven Text Remixes 21. Talk to Transformer: AI as Meta Remix Engine 22. The Critical Role of New Media in Transforming Gamers into Remixers 23. Vandalize a Webpage: Automation and Agency, Destruction and Repair 24. Allegories of Streaming: Image Synthesis and/as Remix 25. Always Already Just: Combinatorial Inventiveness in New Media Art 26. Computational Creativity: Algorithms, Art, and Artistry 27. Remix Games as Instruments of Digital Humanities Scholarship: Harnessing the Potential of Virtual Worlds Part IV Aurality and Visuality 28. Popular Song Remixed: Mashups, Aesthetic Transformation, and Resistance 29. Remixing the Object of Study: Performing Screen Studies through Videographic Scholarship 30. Cinema Remixed 4.0: The Rescoring, Remixing, and Live Performance of Film Soundtracks 31. The Sound of the Future: A Digital Humanities Remix Essay 32. Hacking the Digital Humanities: Critical Practice and DIY Pedagogy 33. DJing Archival Interruptions: A Remix Praxis and Reflective Guide 34. Exploring Remix Process: The Case of the Spanish Megamix 35. Scratch Video: Analog Herald of Remix Culture 36. Curating, Remixing, and Migrating Archived Muse Files
  3. Data Analytics and Machine Learning
    Navigating the Big Data Landscape
    Contributor: Garg, Payal (HerausgeberIn); Mishra, Asha Rani (HerausgeberIn); Singh, Pushpa (HerausgeberIn)
    Published: 2024
    Publisher:  Springer Verlag, Singapore, Singapore

    This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers... more

     

    This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data

     
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    Source: Union catalogues
    Contributor: Garg, Payal (HerausgeberIn); Mishra, Asha Rani (HerausgeberIn); Singh, Pushpa (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789819704477
    Edition: 1st ed. 2024
    Series: Studies in Big Data
    Subjects: COM089000; COM094000; COMPUTERS / Database Management / General; COMPUTERS / Natural Language Processing; Data capture & analysis; Datenerfassung und -analyse; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 353 Seiten
    Notes:

    Chapter 1. Introduction to Data Analytics, Big Data, and Machine Learning.- Chapter 2. Fundamentals of Data Analytics and Lifecycle.- Chapter 3. Building Predictive Models with Machine Learning.- Chapter 4. Stream data model and architecture.- Chapter 5. Leveraging Big Data for Data Analytics.- Chapter 6. Advanced Techniques in Data Analytics.- Chapter 7. Scalable Machine Learning with Big Data.- Chapter 8. Big Data Analytics Framework using Machine Learning on Massive Datasets.- Chapter 9. Deep-learning Techniques in Big-Data analytics.- Chapter 10. Data Privacy and Ethics in Data Analytics.- Chapter 11. Practical Implementation of Machine Learning Techniques & data analytics using R.- Chapter 12. Real-World Applications of Data Analytics, Big Data, and Machine Learning.- Chapter 13. Implementing Data-Driven Innovation in Organizations.- Chapter 14. Business Transformation using Big Data Analytics and Machine Learning.- Chapter 15. Future Trends and Emerging Opportunities in HealthAnalytics.- Chapter 16. Future Trends in Data Analytics and Machine Learning.
  4. Dive into Deep Learning
    Author: Zhang, Aston; Li, Mu; Lipton, Zachary C.; Smola, Alexander J.
    Published: 2023
    Publisher:  Cambridge University Press, Cambridge

    Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires... more

    Location:
    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
    Signature:
    bestellt
    Inter-library loan:
    No inter-library loan

     

    Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for fitting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required-every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice

     
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    Cover (lizenzpflichtig)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781009389433
    Subjects: COM089000; COM094000; COMPUTERS / Database Management / Data Mining; COMPUTERS / Database Management / General; COMPUTERS / Information Theory; COMPUTERS / Natural Language Processing; Data Mining; Data analysis: general; Data capture & analysis; Data mining; Datenerfassung und -analyse; Datenwissenschaft und -analyse: allgemein; Information theory; Informationstheorie; LANGUAGE ARTS & DISCIPLINES / Library & Information Science; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 574 Seiten
    Notes:

    Installation; Notation; 1. Introduction; 2. Preliminaries; 3. Linear neural networks for regression; 4. Linear neural networks for classification; 5. Multilayer perceptrons; 6. Builders guide; 7. Convolutional neural networks; 8. Modern convolutional neural networks; 9. Recurrent neural networks; 10. Modern recurrent neural networks; 11. Attention mechanisms and transformers; Appendix. Tools for deep learning; Bibliography; Index.