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Trends in AI-Driven Prediction
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224 b
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This book offers a comprehensive overview of AI-driven prediction and intelligent systems, highlighting practical applications of machine learning and deep learning across real-world domains. It covers a wide range of topics including sentiment analysis, job migration, loan and fraud prediction, stock market forecasting, and intelligent inventory management.The book places strong emphasis on healthcare and environmental applications, featuring disease prediction, medical image analysis, weather forecasting, air quality monitoring, crop recommendation, and climate change impact analysis. Advanced computer vision and deep learning techniques such as CNNs, LSTMs, YOLO, and video classification are applied to tasks like emotion recognition, object detection, activity recognition, and image-based diagnostics.By combining theoretical concepts with hands-on predictive modeling, this volume serves as a valuable resource for students, educators, researchers, and practitioners seeking to understand and apply modern AI techniques to build intelligent, data-driven solutions for societal and industrial challenges.
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