Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis
eBook - ePub

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

  1. 264 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

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

About this book

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

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Yes, you can access Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis by Md Zia Uddin in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Acknowledgments
  8. Author
  9. Chapter 1 Smart Assisted Homes, Sensors, and Machine Learning
  10. Chapter 2 Python and Its Libraries
  11. Chapter 3 Feature Analysis Using Python
  12. chapter 4 Deep Learning and XAI with Python
  13. Chapter 5 Behavior and Health Status Recognition
  14. Chapter 6 Emotion Recognition
  15. Index