Muutke küpsiste eelistusi

Artificial Intelligence and Machine Learning for Business [Kõva köide]

Edited by , Edited by
  • Formaat: Hardback, 298 pages, kõrgus x laius: 234x156 mm, kaal: 750 g, 6 Line drawings, color; 69 Line drawings, black and white; 10 Halftones, black and white; 6 Illustrations, color; 79 Illustrations, black and white
  • Sari: AAP Advances in Artificial Intelligence and Robotics
  • Ilmumisaeg: 14-Apr-2025
  • Kirjastus: Apple Academic Press Inc.
  • ISBN-10: 1774917238
  • ISBN-13: 9781774917237
Teised raamatud teemal:
Artificial Intelligence and Machine Learning for BusinessSuurem pilt
  • Formaat: Hardback, 298 pages, kõrgus x laius: 234x156 mm, kaal: 750 g, 6 Line drawings, color; 69 Line drawings, black and white; 10 Halftones, black and white; 6 Illustrations, color; 79 Illustrations, black and white
  • Sari: AAP Advances in Artificial Intelligence and Robotics
  • Ilmumisaeg: 14-Apr-2025
  • Kirjastus: Apple Academic Press Inc.
  • ISBN-10: 1774917238
  • ISBN-13: 9781774917237
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781774917237.html
Märksõnad:
"Artificial intelligence and machine learning are integral parts of every business today, in areas ranging from finance, strategic decision-making , HR operations, and sales and marketing to manufacturing and more. However, there is a general perception that artificial intelligence and machine learning are only used in the IT sector by large companies with extensive research teams. This new book, Artificial Intelligence and Machine Learning for Business, demonstrates how artificial intelligence and machine learning can be used in every aspect of business and as a foundation for complex decision-making. This book offers an overview of artificial intelligence (AI) techniques that are used in business. Covering such topics as use of AI in employee training,in stock market prediction, in traffic detection, in opinion mining, in fraud detection, for retail purchase predictions, in online customer support interactions, and more. The book proves the diverse ways AI can be used in many facets of a business. Theuse of AI is also explored in fields such as garbage systems, agriculture, precious metals, banking, HR hiring, and so on. It provides an overview of the most popular and frequently used methods, procedures, and models to control business activity. This book explains in a simplified manner AI standards and concepts for management students and executives. Overall, the book emphasizes the potential business prospects of AI, machine learning, and the derived benefits of using these innovative technologies"--

Artificial intelligence and machine learning are integral parts of every business today, in areas ranging from finance, strategic decision-making, HR operations, and sales and marketing to manufacturing and more. This new book demonstrates how artificial intelligence and machine learning can be used in every aspect of business and as a foundation for complex decision-making. The volume covers such topics as the use of AI in employee training, in stock market prediction, in traffic detection, in opinion mining, in fraud detection, for retail purchase predictions, in online customer support interactions, and more, proving the diverse ways AI can be used in many facets of a business. The use of AI is also explored in fields such as garbage systems, agriculture, precious metals, banking, HR hiring, and so on.

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.

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 Peoples Personalities from Their CVs, Using Machine Learning and
Deep Learning
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.