Artificial Intelligence and Machine Learning for Business (eBook, ePUB)

Redaktion: Mishra, Namita; Kumar, A. V. Senthil

• Format: ePub

Produktbeschreibung

Shows how artificial intelligence and machine learning can be used in every aspect of business and as a foundation for complex decision-making. Overviews AI techniques used in business, like, use of AI in employee training, in stock market prediction, in traffic detection, in opinion mining, in fraud detection, and more.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 15. April 2025
• Englisch
• ISBN-13: 9781040156599
• Artikelnr.: 73513687

Autorenporträt

Namita Mishra, PhD, Professor at the I.T.S. School of Management, is a distinguished professional with an in-depth association with education and research projects. Her teaching experience is in finance and accounting, with over 18 years of expertise. Academically she has MCOM, MBA, and PhD degrees from reputed universities. She is a certified financial analyst from IIM Kashipur, India. She has authored three books and two edited volumes with national and international publishers. Professor Mishra has published over 35 research papers in national and international conference proceedings and has 17 patents to her credit. She received the Dr. S. Radhakrishnan Memorial Award (2009) from the Healthy Universe Foundation for her contributions in education. She is a life member of various academic bodies. A. V. Senthil Kumar, DSc, is working as a Professor and Director of the PG and Research Department of Computer Applications at Hindusthan College of Arts and Science in Coimbatore, Tamil Nadu, India. To date, he has five years of industrial experience and 27 years of teaching experience. He has published 46 book chapters, 223 papers in international and national journals, and 64 papers in international and national conferences, and he has edited 12 books and two textbooks. He is an Associate Editor of the journal IEEE Access. He is also an editor-in-chief for many journals and a key member for India for the Machine Intelligence Research Lab (MIR Labs). He is an editorial board member and reviewer for various international journals. He is also a committee member for various international conferences. He has guided 16 PhD scholars and is currently guiding four PhD scholars. He received his Doctor of Science (DSc) in Computer Science.

Inhaltsangabe

1. Generic Framework for AI-Based E-Learning for Employee Training and
Quality Learning Experience 2. AI-Based Stock Market Prediction During War
Period 3. Traffic Road Sign Detection and Recognition Approach Using
OCR-Based on Efficient Det and ROI Extraction 4. Recent Trends and Future
Prospects of AI and Machine Learning in Decision Making 5. Socio-economic
Impact Analysis of the Russo-Ukrainian War Based on Tweets Using Opinion
Mining 6. Robotic Process Automation in Business Management Using Machine
Learning Algorithms 7. Contemporary Inclinations and Forthcoming
Solicitations of AI and ML in Business Transformation 8. Climate Smart
Agriculture Analysis of Soil Properties and Weather Parameter Using
Artificial Intelligence and Machine Learning 9. A Novel Approach to Monitor
Garbage System by Using LoRa Technology 10. Applications of AI-Based
Decision Support System in Business Management 11. Current Trends and
Future of AI in Sales and Marketing 12. Predicting Precious Metal Markets
Using Custom Deep-Learning NARX Network: A Portfolio Application 13.
Leveraging Banking Customer Experience Through Artificial Intelligence: An
Application of Structural Equation Modeling 14. Recommender Systems Using
AI and ML: Future of Sales and Marketing 15. Trends and Future of AI in
Sales and Marketing 16. Predicting People's Personalities from Their CVs,
Using Machine Learning and Deep Learning