Transforming Management Using Artificial Intelligence Techniques (PDF)
(Sprache: Englisch)
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...
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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.
Autoren-Porträt
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.... mehr
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.
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.
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Bibliographische Angaben
- 2020, 1. Auflage, 214 Seiten, Englisch
- Herausgegeben: Vikas Garg, Rashmi Agrawal
- Verlag: Taylor & Francis
- ISBN-10: 1000209946
- ISBN-13: 9781000209945
- Erscheinungsdatum: 09.11.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 10 MB
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Sprache:
Englisch
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