Artificial Intelligence and Machine Learning for Business
Herausgeber: Kumar, A. V. Senthil; Mishra, Namita
Artificial Intelligence and Machine Learning for Business
Herausgeber: Kumar, A. V. Senthil; Mishra, Namita
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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.
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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.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Apple Academic Press Inc.
- Seitenzahl: 298
- Erscheinungstermin: 4. April 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781774917237
- ISBN-10: 1774917238
- Artikelnr.: 71963249
- Verlag: Apple Academic Press Inc.
- Seitenzahl: 298
- Erscheinungstermin: 4. April 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781774917237
- ISBN-10: 1774917238
- Artikelnr.: 71963249
Namita Mishra, PhD, Professor at the I.T.S. School of Management is a distinguished professional having 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 more than 35 research papers in national and international conference proceedings of repute and has 17 patents to her credits. Her exceptional contributions have earned her accolades such as the Dr. S. Radhakrishnan Memorial Award-2009 from Healthy Universe foundation for her excellent contribution in education. She is associated as life members of various academic bodies. A. V. Senthil Kumar, PhD, DSc, is working as a Director and Professor in the Department of Research and PG in Computer Applications, Hindustan College of Arts and Science, Coimbatore, India. He has to his credit 11 book chapters, over 260 papers in international and national journals, 25 papers in international conferences, five papers in national conferences, and nine edited books (IGI Global, USA). He is Editor-in-Chief of the International Journal of Data Mining and Emerging Technologies and has been affiliated with the International Journal of Image Processing and Applications, International Journal of Advances in Knowledge Engineering & Computer Science, International Journal of Advances in Computers and Information Engineering, and International Journal of Research and Reviews in Computer Science. He is also a key member of the Machine Intelligence Research Lab (MIR Labs), India. He is an editorial board member and reviewer for various international journals.
1. Generic Framework for AI-Based E-Learning for Employee Training and
Quality Learning Experience 2. AI-Based Stock Market Prediction During
Periods of War 3. Traffic Road Sign Detection and Recognition Approach
Using OCR-Based on EfficientDet and ROI Extraction 4. Recent Trends and
Future Prospects of AI and Machine Learning in Decision Making 5.
Socioeconomic 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
Quality Learning Experience 2. AI-Based Stock Market Prediction During
Periods of War 3. Traffic Road Sign Detection and Recognition Approach
Using OCR-Based on EfficientDet and ROI Extraction 4. Recent Trends and
Future Prospects of AI and Machine Learning in Decision Making 5.
Socioeconomic 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
1. Generic Framework for AI-Based E-Learning for Employee Training and
Quality Learning Experience 2. AI-Based Stock Market Prediction During
Periods of War 3. Traffic Road Sign Detection and Recognition Approach
Using OCR-Based on EfficientDet and ROI Extraction 4. Recent Trends and
Future Prospects of AI and Machine Learning in Decision Making 5.
Socioeconomic 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
Quality Learning Experience 2. AI-Based Stock Market Prediction During
Periods of War 3. Traffic Road Sign Detection and Recognition Approach
Using OCR-Based on EfficientDet and ROI Extraction 4. Recent Trends and
Future Prospects of AI and Machine Learning in Decision Making 5.
Socioeconomic 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