Artificial Intelligence and Machine Learning for Business (Aap Advances in Artificial Intelligence and Robotics)

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Artificial Intelligence and Machine Learning for Business (Aap Advances in Artificial Intelligence and Robotics)

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  • 製本 Hardcover:ハードカバー版/ページ数 298 p.
  • 言語 ENG
  • 商品コード 9781774917237
  • DDC分類 658.4030285

Full Description

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.

Contents

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

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