| 書目名稱 | Data-Driven Innovation for Intelligent Technology |
| 副標(biāo)題 | Perspectives and App |
| 編輯 | Hiram Ponce,Jorge Brieva,Ernesto Moya-Albor |
| 視頻video | http://file.papertrans.cn/264/263296/263296.mp4 |
| 概述 | Focuses on new perspectives and applications of data-driven innovation technologies and Applied AI.Includes theory and use cases to help readers understand the basics of data-driven innovation.Emphasi |
| 叢書名稱 | Studies in Big Data |
| 圖書封面 |  |
| 描述 | .?.This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value..It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others..This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.. |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Data Science for Industry; Artificial Intelligence for Industry; Technology Trends; Machine Learning fo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-54277-0 |
| isbn_softcover | 978-3-031-54279-4 |
| isbn_ebook | 978-3-031-54277-0Series ISSN 2197-6503 Series E-ISSN 2197-6511 |
| issn_series | 2197-6503 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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