Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis (Hardcover)

Md Zia Uddin

ISBN 10: 1032544783 / ISBN 13: 9781032544786

Edité par Taylor & Francis Ltd, London, 2024

A propos de cet article

Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032544786

Détails bibliographiques

Titre : Machine Learning and Python for Human ...

Éditeur : Taylor & Francis Ltd, London

Date d'édition : 2024

Reliure : Hardcover

Etat : new

A propos de ce titre

Synopsis :

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.

À propos de l?auteur:

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.