Industry 4.0, AI, and data science: research trends and challenges
"The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere...
Gespeichert in:
| Weitere Verfasser: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2022
|
| Ausgabe: | First edition |
| Schriftenreihe: | Demystifying technologies for computational excellence: moving towards society 5.0
|
| Schlagworte: | |
| Online-Zugang: | FHM01 UBR01 Volltext |
| Zusammenfassung: | "The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide. |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xix, 261 Seiten) Illustrationen |
| ISBN: | 9781003097181 |
| DOI: | 10.1201/9781003097181 |
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Datensatz im Suchindex
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| isbn | 9781003097181 |
| language | English |
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| spelling | Industry 4.0, AI, and data science research trends and challenges edited by Vikram Bali, Kakoli Banerjee, Narendra Kumar, Sanjay Gour, and Sunil Kumar Chawla First edition Boca Raton ; London ; New York CRC Press 2022 1 Online-Ressource (xix, 261 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Demystifying technologies for computational excellence: moving towards society 5.0 Includes bibliographical references and index "The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide. Data Science (DE-588)1140936166 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Industrie 4.0 (DE-588)1072179776 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Industry 4.0 (DE-588)4143413-4 Aufsatzsammlung gnd-content Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Maschinelles Lernen (DE-588)4193754-5 s Data Science (DE-588)1140936166 s Industrie 4.0 (DE-588)1072179776 s Bali, Vikram edt Banerjee, Kakoli edt Kumar, Narendra (DE-588)1240190360 edt Gour, Sanjay edt Chawla, Sunil Kumar (DE-588)1228569614 edt Erscheint auch als Druck-Ausgabe, Paperback 978-0-367-56291-5 Erscheint auch als Druck-Ausgabe, Hardcover 978-0-367-56285-4 https://doi.org/10.1201/9781003097181 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Industry 4.0, AI, and data science research trends and challenges Data Science (DE-588)1140936166 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Industrie 4.0 (DE-588)1072179776 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)1140936166 (DE-588)4193754-5 (DE-588)1072179776 (DE-588)4033447-8 (DE-588)4143413-4 |
| title | Industry 4.0, AI, and data science research trends and challenges |
| title_auth | Industry 4.0, AI, and data science research trends and challenges |
| title_exact_search | Industry 4.0, AI, and data science research trends and challenges |
| title_exact_search_txtP | Industry 4.0, AI, and data science research trends and challenges |
| title_full | Industry 4.0, AI, and data science research trends and challenges edited by Vikram Bali, Kakoli Banerjee, Narendra Kumar, Sanjay Gour, and Sunil Kumar Chawla |
| title_fullStr | Industry 4.0, AI, and data science research trends and challenges edited by Vikram Bali, Kakoli Banerjee, Narendra Kumar, Sanjay Gour, and Sunil Kumar Chawla |
| title_full_unstemmed | Industry 4.0, AI, and data science research trends and challenges edited by Vikram Bali, Kakoli Banerjee, Narendra Kumar, Sanjay Gour, and Sunil Kumar Chawla |
| title_short | Industry 4.0, AI, and data science |
| title_sort | industry 4 0 ai and data science research trends and challenges |
| title_sub | research trends and challenges |
| topic | Data Science (DE-588)1140936166 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Industrie 4.0 (DE-588)1072179776 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Data Science Maschinelles Lernen Industrie 4.0 Künstliche Intelligenz Aufsatzsammlung |
| url | https://doi.org/10.1201/9781003097181 |
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