Transforming Management Using Artificial Intelligence Techniques
暫譯: 利用人工智慧技術轉型管理

Garg, Vikas, Agrawal, Rashmi

  • 出版商: CRC
  • 出版日期: 2024-10-04
  • 售價: $2,680
  • 貴賓價: 9.5$2,546
  • 語言: 英文
  • 頁數: 200
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 036760874X
  • ISBN-13: 9780367608743
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies and brings the exciting field to life by presenting a substantial and robust introduction to Artificial intelligence in a clear and concise manner.

商品描述(中文翻譯)

本書透過提供一種新方法,重新定義了使用人工智慧的管理實踐。它對每個主題提供了詳細且圖文並茂的處理,並透過範例和案例研究使這個令人興奮的領域生動呈現,以清晰且簡明的方式介紹了人工智慧的基本概念和重要內容。

作者簡介

Dr. Vikas Garg is Assistant Director, Executive Programs Management at Amity University Uttar Pradesh India, Greater Noida Campus. He is Ph.D and UGC NET qualified with 15+ years of academic experience. His areas of specialization are Accounting and Finance. He has major interest in Financial Markets, Financial Reporting and Analysis. He is lifetime member of Indian Commerce Association, Indian Accounting Association, Indian Management Association. He is certified in Customer Relationship Management from IIM, Bangalore. He has got published numerous research papers in various Scopus and ABDC indexed International and national journals. He has many Books, Copyrights and Patents to his credit. He has organized many National and International Conferences. He is associated with several Universities as an external guide for research scholars and has conducted many workshops in institutions of repute.

Dr. Rashmi Agrawal is PhD and UGC-NET qualified with 18+ years of experience in teaching and research, working as Professor in Department of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India. She is associated with various professional bodies in different capacity, life member of Computer Society of India, senior member IEEE, ACM CSTA and senior member of Science and Engineering Institute (SCIEI). She is book series editor of Innovations in Big Data and Machine Learning, CRC Press, Taylor and Francis group, USA. She has authored/ coauthored many research papers in peer reviewed national/international journals and conferences which are SCI/SCIE/ESCI/SCOPUS indexed. She has also edited/authored books with national/international publishers (Springer, Elsevier, IGI Global, Apple Academic Press, and CRC Press) and contributed chapters in books edited by Springer, IGI global, Elsevier and CRC Press. Currently she is guiding PhD scholars in Sentiment Analysis, Educational Data Mining, Internet of Things, Brain Computer Interface, Web Service Architecture and Natural language Processing. She is also an active reviewer and editorial board member in various journals of repute.

作者簡介(中文翻譯)

Dr. Vikas Garg 是印度阿米提大學(Amity University Uttar Pradesh India)大諾伊達校區(Greater Noida Campus)執行計畫管理的助理主任。他擁有博士學位並通過 UGC NET,擁有超過 15 年的學術經驗。他的專業領域為會計和金融,對金融市場、財務報告和分析有著濃厚的興趣。他是印度商業協會(Indian Commerce Association)、印度會計協會(Indian Accounting Association)和印度管理協會(Indian Management Association)的終身會員。他持有班加羅爾 IIM 的客戶關係管理(Customer Relationship Management)證書。他在多個 Scopus 和 ABDC 索引的國際及國內期刊上發表了許多研究論文,並擁有多本書籍、版權和專利。他組織了許多國內和國際會議,並作為外部指導教授與多所大學的研究學者合作,還在多所知名機構舉辦了多場工作坊。

Dr. Rashmi Agrawal 擁有博士學位並通過 UGC-NET,擁有超過 18 年的教學和研究經驗,目前擔任印度法里達巴德(Faridabad)馬納夫拉奇納國際研究與學院(Manav Rachna International Institute of Research and Studies)計算機應用系的教授。她以不同身份與多個專業機構合作,是印度計算機學會(Computer Society of India)的終身會員、IEEE 的高級會員、ACM CSTA 的高級會員以及科學與工程學會(Science and Engineering Institute, SCIEI)的高級會員。她是美國 CRC Press、Taylor and Francis 集團的《大數據與機器學習創新》(Innovations in Big Data and Machine Learning)書系列的編輯。她在同行評審的國內/國際期刊和會議上發表/共同發表了許多 SCI/SCIE/ESCI/SCOPUS 索引的研究論文。她還與國內/國際出版商(如 Springer、Elsevier、IGI Global、Apple Academic Press 和 CRC Press)編輯/撰寫書籍,並為 Springer、IGI Global、Elsevier 和 CRC Press 編輯的書籍貢獻章節。目前,她正在指導博士生進行情感分析、教育數據挖掘、物聯網、腦機介面、網路服務架構和自然語言處理的研究。她也是多個知名期刊的活躍審稿人和編輯委員會成員。