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To organize this variety, the chapters have been grouped into three sections related to: (1) Forecasting and Prediction, (2) Knowledge Discovery and Knowledge Management, and (3) Signal Processing. 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This book presents numerous successful applications of AI in various contexts.\u003c\/p\u003e\u003cp\u003eThe innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eThis book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. 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This book is a valuable resource for researchers, professionals, graduate students, and practitioners interested in the current landscape and future directions of deep learning. 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