Fundamentals of Artificial Intelligence and Machine Learning: Regression, Neural Networks - Softcover
Inhaltsangabe
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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Über die Autorin bzw. den Autor
Ms. Yemineni Sowjanya, Assistant Professor, Department of CSE, Pallavi College of Engineering.Dr. P. Jesu Jayarin, Professor, Department of CSE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University.Dr. Milind P Gajare, Professor, Department of E&TC, AISSMS Institute of Information Technology.
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Fundamentals of Artificial Intelligence and Machine Learning: Regression, Neural Networks
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Paperback. Zustand: 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 multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786209234736
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Paperback. Zustand: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9786209234736
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Fundamentals of Artificial Intelligence and Machine Learning (Paperback)
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ISBN 13: 9786209234736
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9786209234736
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Fundamentals of Artificial Intelligence and Machine Learning | Regression, Neural Networks
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Taschenbuch. Zustand: 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: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 134338176
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Fundamentals of Artificial Intelligence and Machine Learning
Verlag:
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ISBN 10: 6209234739
ISBN 13: 9786209234736
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786209234736
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Fundamentals of Artificial Intelligence and Machine Learning : Regression, Neural Networks
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