SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA
SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to emp...
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Hoboken, NJ
John Wiley & Sons, Inc.
2024
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Schriftenreihe: | Advances in data engineering and machine learning
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520 | |a SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies. The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including artificial intelligence, machine learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether you're a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age. | ||
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spelling | SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA edited by Suman Kumar Swarnkar, JP Patra, Sapna Singh Kshatri, Yogesh Kumar Rathore and Tien Anh Tran Hoboken, NJ John Wiley & Sons, Inc. 2024 1 online resource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Advances in data engineering and machine learning SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies. The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including artificial intelligence, machine learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether you're a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age. Software engineering Multimedia systems Génie logiciel Multimédia Swarnkar, Suman HerausgeberIn edt Patra, J. P. HerausgeberIn edt Kshatri, Sapna Singh 1986- HerausgeberIn edt Kumar Rathore, Yogesh HerausgeberIn edt Tran, Tien Anh HerausgeberIn edt 1119786347 Erscheint auch als Druck-Ausgabe 1119786347 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781119786344/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
spellingShingle | SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA Software engineering Multimedia systems Génie logiciel Multimédia |
title | SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA |
title_auth | SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA |
title_exact_search | SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA |
title_full | SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA edited by Suman Kumar Swarnkar, JP Patra, Sapna Singh Kshatri, Yogesh Kumar Rathore and Tien Anh Tran |
title_fullStr | SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA edited by Suman Kumar Swarnkar, JP Patra, Sapna Singh Kshatri, Yogesh Kumar Rathore and Tien Anh Tran |
title_full_unstemmed | SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA edited by Suman Kumar Swarnkar, JP Patra, Sapna Singh Kshatri, Yogesh Kumar Rathore and Tien Anh Tran |
title_short | SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA |
title_sort | supervised and unsupervised data engineering for multimedia data |
topic | Software engineering Multimedia systems Génie logiciel Multimédia |
topic_facet | Software engineering Multimedia systems Génie logiciel Multimédia |
url | https://learning.oreilly.com/library/view/-/9781119786344/?ar |
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