Data-Centric Artificial Intelligence for Multidisciplinary Applications
暫譯: 以數據為中心的人工智慧於多學科應用
N. Mahalle, Parikshit, Wasatkar, Namrata Nishant, R. Shinde, Gitanjali
- 出版商: CRC
- 出版日期: 2026-05-21
- 售價: $2,520
- 貴賓價: 9.5 折 $2,394
- 語言: 英文
- 頁數: 294
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032610077
- ISBN-13: 9781032610078
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相關分類:
Machine Learning
尚未上市,無法訂購
相關主題
商品描述
This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach. It examines the methodologies for data-centric approaches, the use of data-centric approaches in different domains, the need for edge AI and how it differs from cloud-based AI. It discusses the new category of AI technology, "data-centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data-centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.
- Includes a collection of case studies with experimentation results to adhere to the practical approaches
- Examines challenges in dataset generation, synthetic datasets, analysis, and prediction algorithms in stochastic ways
- Discusses methodologies to achieve accurate results by improving the quality of data
- Comprises cases in healthcare and agriculture with implementation and impact of quality data in building AI applications
商品描述(中文翻譯)
這本書探討了數據中心人工智慧(data-centric AI)方法的必要性及其在多學科領域的應用,與模型中心方法相比。它檢視了數據中心方法的各種方法論、在不同領域中使用數據中心方法的情況、邊緣人工智慧(edge AI)的需求以及其與雲端人工智慧(cloud-based AI)的不同之處。書中討論了一種新的人工智慧技術類別——數據中心人工智慧(DCAI),該技術專注於理解、利用和從數據中得出結論。通過添加機器學習和大數據分析工具,數據中心人工智慧使其能夠從數據中學習,而不是依賴算法。因此,它能夠做出更明智的選擇並提供更精確的結果。此外,它在可擴展性方面的潛力也顯著高於傳統的人工智慧方法。
- 包含一系列案例研究及實驗結果,以遵循實用的方法
- 檢視數據集生成、合成數據集、分析和預測算法中的挑戰,並以隨機方式進行探討
- 討論通過提高數據質量來實現準確結果的方法論
- 包含醫療保健和農業的案例,展示高質量數據在構建人工智慧應用中的實施和影響
作者簡介
Dr. Parikshit N. Mahalle is a senior member of the IEEE and is Professor and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph.D. from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 23+ years of teaching and research experience. He is a member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, SPPU and various Universities and autonomous colleges across India. He has 9 patents, 200+ research publications (Google Scholar citations-2250 plus, H index-22 and Scopus Citations are 1190 plus with H index -16), and authored/edited 42+ books with Springer, CRC Press, Cambridge University Press, etc. He is editor-in-chief for IGI Global - International Journal of Rough Sets and Data Analysis, Associate Editor for IGI Global - International Journal of Synthetic Emotions, Inter-science International Journal of Grid and Utility Computing, member of Editorial Review Board for IGI Global - International Journal of Ambient Computing and Intelligence. His research interests are machine learning, data science, algorithms, internet of things, identity management and security. He is a recognized Ph.D. guide of SSPU, Pune, guiding seven Ph.D. students in the area of IoT and machine learning. Recently, five students have successfully defended their Ph.D. He is also the recipient of the "Best Faculty Award" by Sinhgad Institutes and Cognizant Technologies Solutions. He has delivered 200 plus lectures at national and international levels. He is also the recipient of the best faculty award by Cognizant Technology Solutions.
Dr. Gitanjali R. Shinde is Head and Associate Professor in the Department of Computer Science & Engineering (AI &ML), Vishwakarma Institute of Information Technology, Pune, India. She completed her Ph.D. in Wireless Communication from CMI, Aalborg University, Copenhagen, Denmark on the Research Problem Statement "Cluster Framework for Internet of People, Things and Services" - Ph.D. awarded on 8 May 2018. She earned her M.E. in Computer Engineering from the University of Pune, Pune, in 2012 and B.E. in Computer Engineering degree from the University of Pune, Pune, in 2006. She received research funding for the project "Lightweight group authentication for IoT" by SPPU, Pune. She presented a research article in the World Wireless Research Forum (WWRF) meeting, Beijing, China. She received the best paper award at an international conference. She is also reviewer of various international journals Springer, IGI Global, IEEE Transaction and various conferences. She has published 50+ papers in National and International conferences and journals (Google Scholar citations-700 plus, H index-11). She is author of 10+ books with publishers Springer and CRC Press Taylor & Francis Group, and she is also editor of several books. Her book Data Analytics for Pandemics A COVID 19 Case Study was awarded outstanding Book of the year 2020.
Dr. Namrata N. Wasatkar is an Assistant Professor in the Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India. She did her Ph.D. in Computer Engineering from Savitribai Phule Pune University, Pune, India on the research problem statement "Rule based Machine translation of simple Marathi sentences to English sentences" - Ph.D. awarded on 17 November 2022. She earned an M.E. in Computer Engineering from the University of Pune, Pune, in 2014 and B.E. in Computer Engineering from the University of Pune, Pune, in 2012. She has received research funding for the project "SPPU online chatbot" by SPPU, Pune. She is also reviewer for various journals and conferences. She has published 15+ papers in National and International conferences and journals. She has authored a book titled Data Centric Artificial Intelligence: A Beginner's Guide.
作者簡介(中文翻譯)
Parikshit N. Mahalle 博士 是 IEEE 的資深會員,並擔任印度浦那 Vishwakarma 資訊技術學院人工智慧與數據科學系的教授及系主任。他在丹麥奧爾堡大學完成博士學位,並在丹麥哥本哈根的 CMI 繼續擔任博士後研究員。他擁有超過 23 年的教學和研究經驗。他是計算機工程學科的學術委員會成員,曾擔任 SPPU 資訊技術系的主席,以及印度各大學和自治學院的成員。他擁有 9 項專利,發表了 200 多篇研究論文(Google Scholar 引用次數超過 2250,H 指數 22,Scopus 引用次數超過 1190,H 指數 16),並與 Springer、CRC Press、劍橋大學出版社等共同編著或編輯了 42 本以上的書籍。他是 IGI Global 的主編,負責 International Journal of Rough Sets and Data Analysis,並擔任 IGI Global 的副編輯,負責 International Journal of Synthetic Emotions 和 Inter-science International Journal of Grid and Utility Computing,同時也是 IGI Global 的 International Journal of Ambient Computing and Intelligence 編輯審查委員會成員。他的研究興趣包括機器學習、數據科學、算法、物聯網、身份管理和安全。他是 SSPU 浦那的認可博士生導師,指導七名在物聯網和機器學習領域的博士生。最近,五名學生成功通過博士論文答辯。他還獲得了 Sinhgad 學院和 Cognizant 技術解決方案頒發的「最佳教學獎」。他在國內外發表了 200 多場演講。他也獲得了 Cognizant 技術解決方案的最佳教學獎。
Gitanjali R. Shinde 博士 是印度浦那 Vishwakarma 資訊技術學院計算機科學與工程系(人工智慧與機器學習)的系主任及副教授。她在丹麥哥本哈根的 CMI 完成了無線通信的博士學位,研究問題為「人、物和服務的集群框架」,於 2018 年 5 月 8 日獲得博士學位。她於 2012 年在浦那大學獲得計算機工程碩士學位,並於 2006 年獲得計算機工程學士學位。她獲得了 SPPU 浦那的研究資金,用於「物聯網的輕量級群組身份驗證」項目。她在中國北京的世界無線研究論壇(WWRF)會議上發表了一篇研究文章,並在國際會議上獲得最佳論文獎。她也是多個國際期刊(如 Springer、IGI Global、IEEE Transactions)和各種會議的審稿人。她在國內外會議和期刊上發表了 50 篇以上的論文(Google Scholar 引用次數超過 700,H 指數 11)。她與 Springer 和 CRC Press Taylor & Francis Group 出版了 10 本以上的書籍,並擔任多本書籍的編輯。她的書籍 Data Analytics for Pandemics A COVID 19 Case Study 獲得了 2020 年度傑出書籍獎。
Namrata N. Wasatkar 博士 是印度浦那 Vishwakarma 資訊技術學院計算機工程系的助理教授。她在印度 Savitribai Phule 浦那大學獲得計算機工程博士學位,研究問題為「基於規則的簡單馬拉地語句子到英語句子的機器翻譯」,於 2022 年 11 月 17 日獲得博士學位。她於 2014 年在浦那大學獲得計算機工程碩士學位,並於 2012 年獲得計算機工程學士學位。她獲得了 SPPU 浦那的研究資金,用於「SPPU 在線聊天機器人」項目。她也是多個期刊和會議的審稿人。她在國內外會議和期刊上發表了 15 篇以上的論文。她著有一本名為 Data Centric Artificial Intelligence: A Beginner's Guide 的書籍。