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Sinopsis
This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field.
Key Features:
- Throughout the book, practicality takes precedence, with hands-on coding examples accompanying each concept to facilitate an interactive learning journey
- Striking a harmonious balance between theoretical foundations and practical coding, the book caters to a diverse audience, including smart home enthusiasts and researchers
- The content prioritizes real-world applications, ensuring readers can immediately apply the knowledge gained to enhance smart home functionalities
- Covering Python basics, feature extraction, deep learning, and XAI, the book provides a comprehensive guide, offering an overall understanding of smart home applications
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Md Zia Uddin was born in 1981 at Haji Alimuddin's House, 18 No Ward, East Bakalia, Chittagong, Bangladesh. Dr. Zia completed his PhD in Biomedical Engineering in 2011. He is currently working as a Senior Research Scientist in Sustainable Communication Technologies department of SINTEF Digital, Oslo, Norway. SINTEF is the largest research institute in Scandinavia and one of the largest research institutes in Europe. He has been leading/working on work packages of various national and international research projects. His research fields are mainly focused on data & feature analysis from various sources for physical/mental healthcare using machine learning/artificial intelligence/XAI. Dr. Zia also has a good teaching experience with more than 20 computer science-related courses from bachelor's degree to PhD.
Dr. Zia has got more than 150 peer-reviewed research publications including prestigious international journals, conferences, and book chapters. Half of the publications are led or mostly done by him. His Google Scholar citations are around 4500. He got Gold Medal Award (2008) for academic excellence in undergraduate study. He was also Awarded Korean Government IT Scholarship (March 2007 to February 2011) and Kyung Hee University President Scholarship (March 2007 to February 2011). His research works received best/outstanding paper awards in several peer reviewed international conferences. He acted as a reviewer in many prestigious journals including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Information Fusion, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Biomedical Engineering, etc.
Dr. Zia has been leading/working in different work packages of national and international research projects. He has been enlisted in the World’s Top 2% Scientists since 2019, conducted by Stanford University of USA and Elsevier BV. For more information about his work and background: https://sites.google.com/site/webpagezia/home.
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Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis
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Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis (Paperback)
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ISBN 10: 1032546352
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Paperback. Condición: new. Paperback. This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field.Key Features:Throughout the book, practicality takes precedence, with hands-on coding examples accompanying each concept to facilitate an interactive learning journeyStriking a harmonious balance between theoretical foundations and practical coding, the book caters to a diverse audience, including smart home enthusiasts and researchersThe content prioritizes real-world applications, ensuring readers can immediately apply the knowledge gained to enhance smart home functionalitiesCovering Python basics, feature extraction, deep learning, and XAI, the book provides a comprehensive guide, offering an overall understanding of smart home applications It is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781032546353
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Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis (Paperback)
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Taylor & Francis Ltd, London, 2026
ISBN 10: 1032546352
ISBN 13: 9781032546353
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Paperback. Condición: new. Paperback. This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field.Key Features:Throughout the book, practicality takes precedence, with hands-on coding examples accompanying each concept to facilitate an interactive learning journeyStriking a harmonious balance between theoretical foundations and practical coding, the book caters to a diverse audience, including smart home enthusiasts and researchersThe content prioritizes real-world applications, ensuring readers can immediately apply the knowledge gained to enhance smart home functionalitiesCovering Python basics, feature extraction, deep learning, and XAI, the book provides a comprehensive guide, offering an overall understanding of smart home applications It is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field. 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. Nº de ref. del artículo: 9781032546353
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Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis
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Condición: New. Md Zia Uddin was born in 1981 at Haji Alimuddin s House, 18 No Ward, East Bakalia, Chittagong, Bangladesh. Dr. Zia completed his PhD in Biomedical Engineering in 2011. He is currently working as a Senior Research Scientist in Sustainable Communication Te. Nº de ref. del artículo: 3381498922
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Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis (Paperback)
Publicado por
Taylor & Francis Ltd, London, 2026
ISBN 10: 1032546352
ISBN 13: 9781032546353
Nuevo
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Librería: CitiRetail, Stevenage, Reino Unido
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Paperback. Condición: new. Paperback. This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field.Key Features:Throughout the book, practicality takes precedence, with hands-on coding examples accompanying each concept to facilitate an interactive learning journeyStriking a harmonious balance between theoretical foundations and practical coding, the book caters to a diverse audience, including smart home enthusiasts and researchersThe content prioritizes real-world applications, ensuring readers can immediately apply the knowledge gained to enhance smart home functionalitiesCovering Python basics, feature extraction, deep learning, and XAI, the book provides a comprehensive guide, offering an overall understanding of smart home applications It is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781032546353
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