Advances in Machine Learning and Big Data Analytics I: Icmlbda 2023, Nit Arunachal Pradesh, India, May 29-30
暫譯: 機器學習與大數據分析進展 I:Icmlbda 2023,印度阿魯納恰爾邦,2023年5月29-30日

Patel, Ashokkumar, Kesswani, Nishtha, Mishra, Madhusudhan

  • 出版商: Springer
  • 出版日期: 2025-02-01
  • 售價: $8,910
  • 貴賓價: 9.5$8,465
  • 語言: 英文
  • 頁數: 612
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031513371
  • ISBN-13: 9783031513374
  • 相關分類: 大數據 Big-dataMachine LearningData Science
  • 海外代購書籍(需單獨結帳)

商品描述

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.


商品描述(中文翻譯)

這本關於機器學習和大數據分析的編輯專著(《ICMLBDA 2023 會議論文集》,於2023年5月29日至30日在印度阿魯納恰爾邦的NERIST和NIT舉行)旨在作為研究人員和專業人士的參考書,分享他們在機器學習和大數據分析領域的新技術和應用的研究報告,例如生物識別系統、醫療診斷、工業、電信、AI Petri 網模型基礎診斷、遊戲、股票交易、智能航空系統、機器人控制、法律、遙感、科學發現代理和多代理系統,以及自然語言和網絡智能。本書的目的是提高對於在先進科學技術中使用的機器學習和大數據算法的認識,提供多學科領域之間的關聯,並成為數據科學家、系統架構師、開發人員、新研究人員和研究生的極大興趣點。本卷提供來自全球在此領域的前沿研究,討論當前狀況、趨勢、未來方向、機會等,使其對初學者和年輕研究人員友好。