The book offers a comprehensive introduction to the fundamental principles, methodologies, and applications that define modern intelligent systems. It is designed as a complete guide for undergraduate and postgraduate students, educators, and professionals seeking a strong foundation in AI and ML concepts along with their real-world applications. The content is organized into five logically structured units, progressing from basic concepts to advanced computational techniques. Introduction to Unit 1: Artificial Intelligence, Unit 2: Machine Learning By integrating theory, mathematics, and hands-on implementation, Unit 3: Inclusive Machine Learning, Unit 4: Regression, Unit 5: Neural Networks. By integrating theory, mathematics, and hands-on implementation, this book delivers a balanced and engaging learning experience. It equips readers with the essential skills to design, train, and optimize AI and ML models while encouraging thoughtful exploration of innovation, ethics, and the transformative impact of intelligent technologies.
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Paperback. Condition: new. Paperback. The book offers a comprehensive introduction to the fundamental principles, methodologies, and applications that define modern intelligent systems. It is designed as a complete guide for undergraduate and postgraduate students, educators, and professionals seeking a strong foundation in AI and ML concepts along with their real-world applications. The content is organized into five logically structured units, progressing from basic concepts to advanced computational techniques. Introduction to Unit 1: Artificial Intelligence, Unit 2: Machine Learning By integrating theory, mathematics, and hands-on implementation, Unit 3: Inclusive Machine Learning, Unit 4: Regression, Unit 5: Neural Networks. By integrating theory, mathematics, and hands-on implementation, this book delivers a balanced and engaging learning experience. It equips readers with the essential skills to design, train, and optimize AI and ML models while encouraging thoughtful exploration of innovation, ethics, and the transformative impact of intelligent technologies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209234736
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Taschenbuch. Condition: Neu. Fundamentals of Artificial Intelligence and Machine Learning | Regression, Neural Networks | Yemineni Sowjanya (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209234736 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 134338176
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book offers a comprehensive introduction to the fundamental principles, methodologies, and applications that define modern intelligent systems. It is designed as a complete guide for undergraduate and postgraduate students, educators, and professionals seeking a strong foundation in AI and ML concepts along with their real-world applications. The content is organized into five logically structured units, progressing from basic concepts to advanced computational techniques. Introduction to Unit 1: Artificial Intelligence, Unit 2: Machine Learning By integrating theory, mathematics, and hands-on implementation, Unit 3: Inclusive Machine Learning, Unit 4: Regression, Unit 5: Neural Networks. By integrating theory, mathematics, and hands-on implementation, this book delivers a balanced and engaging learning experience. It equips readers with the essential skills to design, train, and optimize AI and ML models while encouraging thoughtful exploration of innovation, ethics, and the transformative impact of intelligent technologies.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 268 pp. Englisch. Seller Inventory # 9786209234736
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