Data-Driven Applications for Emerging Technologies
暫譯: 針對新興技術的數據驅動應用程式
Siddique, Nazmul, Arefin, Mohammad Shamsul, Reza, Ahmed Wasif
- 出版商: CRC
- 出版日期: 2025-10-23
- 售價: $5,910
- 貴賓價: 9.5 折 $5,615
- 語言: 英文
- 頁數: 266
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032996935
- ISBN-13: 9781032996936
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相關分類:
Machine Learning、Data-mining、Natural Language Processing
海外代購書籍(需單獨結帳)
商品描述
Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.
Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.
Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether you're looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource.
商品描述(中文翻譯)
《數據驅動的應用於新興技術》探討了數據科學在人工智慧（AI）、醫療保健、可持續性和安全性方面的實際應用。書中涵蓋了預測建模、深度學習和自然語言處理等關鍵主題，提供理論與實作應用的結合。該書強調數據驅動技術如何改善決策、優化流程並解決現實世界中的問題。
每一章節都包含來自學術界和業界專業人士的研究貢獻，使內容既具相關性又易於理解。讀者將獲得在不同領域應用機器學習框架、數據預處理技術和新興技術的實用見解。
本書旨在為研究人員、專業人士和學生提供數據驅動方法的堅實基礎，而不會過於技術化。無論您是希望增強對人工智慧和機器學習的理解，還是希望在現實場景中應用數據科學，本書都是一個有用且實用的資源。
作者簡介
Dr. Nazmul Siddique is a researcher at the School of Computing, Engineering, and Intelligent Systems, Ulster University. He has published over 170 research papers and several books on cybernetics and computational intelligence. His editorial roles in top journals highlight his academic influence and contributions.
Dr. Mohammad Shamsul Arefin is a professor at the Department of CSE, CUET, and Dean of Electrical and Computer Engineering. He has over 170 publications in journals and conferences on data mining, distributed computing, and machine learning. His leadership has significantly fostered research growth and academic excellence in many aspects.
Dr. Ahmed Wasif Reza, a Professor at East West University, has been driving research and innovation for over two decades in AI, Machine Learning, Robotics, and Wireless Communications. Beyond teaching, he plays a key role in quality assurance and accreditation, ensuring excellence in engineering education. With over 250 published papers, his work spans Green Computing, Brain-Computer Interfaces, and the Internet of Things, making a lasting impact in both academia and industry.
Dr. Aminul Haque, a professor and associate head at Daffodil International University, completed his B.Sc. at Shahjalal University of Science and Technology and earned his Ph.D. from MONASH University. He has been actively involved in developing a national curriculum for big data and data science, while also contributing to AI, machine learning, and IoT research. Beyond academics, he plays a key role in quality assurance, coordinates the Future DIU program, and leads innovation labs focused on emerging technologies.
作者簡介(中文翻譯)
納茲穆爾·西迪克博士是阿爾斯特大學計算、工程與智能系統學院的研究員。他已發表超過170篇研究論文及數本有關控制論和計算智能的書籍。他在頂尖期刊的編輯角色突顯了他的學術影響力和貢獻。
穆罕默德·沙姆蘇爾·阿瑞芬博士是CUET計算機科學與工程系的教授及電氣與計算機工程學院的院長。他在數據挖掘、分散式計算和機器學習方面的期刊和會議上發表了超過170篇論文。他的領導顯著促進了研究的增長和學術卓越。
艾哈邁德·瓦西夫·雷扎博士是東西大學的教授，二十多年來一直推動人工智慧、機器學習、機器人技術和無線通信的研究與創新。除了教學外，他在質量保證和認證方面扮演著關鍵角色，確保工程教育的卓越。他已發表超過250篇論文，研究範圍涵蓋綠色計算、大腦-計算機介面和物聯網，對學術界和產業產生了持久的影響。
阿米努爾·哈克博士是達夫迪爾國際大學的教授及副院長，他在沙賈拉爾科技大學獲得理學士學位，並在莫納什大學獲得博士學位。他積極參與制定國家大數據和數據科學課程，同時也對人工智慧、機器學習和物聯網研究作出貢獻。除了學術工作外，他在質量保證方面扮演著重要角色，協調未來DIU計畫，並領導專注於新興技術的創新實驗室。
