| 书目名称 | Innovations in Machine and Deep Learning | | 副标题 | Case Studies and App | | 编辑 | Gilberto Rivera,Alejandro Rosete,Nelson Rangel-Val | | 视频video | | | 概述 | Introduces machine and deep learning approaches for solving challenging problems.Collects the latest technological innovations and models related to deep learning.Includes representative applications | | 丛书名称 | Studies in Big Data | | 图书封面 |  | | 描述 | .In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book presents numerous successful applications of AI in various contexts..The innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0.. .This book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. Whether you are a student, researcher, practitioner, or simply curious about AI, this book provides valuable insights and inspiration for your work and learning.. | | 出版日期 | Book 2023 | | 关键词 | Big Data Environments; Data-driven Decisions; Data Visualization; Data Warehousing; Forecasting Methods; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-40688-1 | | isbn_softcover | 978-3-031-40690-4 | | isbn_ebook | 978-3-031-40688-1Series 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 |
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发表于 2025-3-21 18:26:50
