Machine Learning and Python for Human Behavior Emotion and Health Status Analysis is popular PDF and ePub book, written by Md Zia Uddin in 2024-08-30, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning and Python for Human Behavior Emotion and Health Status Analysis can be Read Online from any device for your convenience.
Machine Learning and Python for Human Behavior Emotion and Health Status Analysis Book PDF Summary
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
Detail Book of Machine Learning and Python for Human Behavior Emotion and Health Status Analysis PDF
- Author : Md Zia Uddin
- Release : 30 August 2024
- Publisher : CRC Press
- ISBN : 9781040105467
- Genre : Computers
- Total Page : 264 pages
- Language : English
- PDF File Size : 14,8 Mb
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