Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems
Author: Dr. Amita Kapoor (Author)
Publisher finelybook 出版社: Packt Publishing
Publication Date 出版日期: 2025-05-16
Edition 版本: 2nd ed.
Language 语言: English
Print Length 页数: 472 pages
ISBN-10: 1835467180
ISBN-13: 9781835467183
Book Description
Master AI and IoT integration, from fundamentals to advanced techniques, and revolutionize your approach to building intelligent, data-driven solutions across industries
Key Features
- Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data
- Enhance your IoT solutions with advanced AI techniques, including deep learning, optimization, and generative adversarial networks
- Gain practical insights through industry-specific IoT case studies in manufacturing, smart cities, and automation
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Transform IoT devices into intelligent systems with this comprehensive guide by Amita Kapoor, Chief AI Officer at Tipz AI. Drawing on 25 years of expertise in developing intelligent systems across industries, she demonstrates how to harness the combined power of artificial intelligence and IoT technology. A pioneer in making AI and neuroscience education accessible worldwide, Amita guides you through creating smart, efficient systems that leverage the latest advances in both fields. This new edition is updated with various optimization techniques in IoT used for enhancing efficiency and performance. It introduces you to cloud platforms such as Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) for analyzing data generated using IoT devices. You’ll learn about machine learning algorithms, deep learning techniques, and practical applications in real-world IoT scenarios and advance to creating AI models that work with diverse data types, including time series, images, and audio. You’ll also harness the power of widely used Python libraries, TensorFlow and Keras, to build a variety of smart AI models. By the end of the book, you’ll emerge as a master of AI-driven IoT, armed with invaluable experience in optimizing IoT devices, boosting their performance, and integrating AI algorithms to make intelligent decisions.
What you will learn
- Integrate AI and IoT for enhanced device intelligence
- Understand how to build scalable and efficient IoT systems
- Master both supervised and unsupervised machine learning techniques for processing IoT data
- Explore the full potential of deep learning in IoT applications
- Discover AI-driven strategies to optimize IoT system efficiency
- Implement real-world IoT projects that leverage AI capabilities
- Improve device performance and decision-making using AI algorithms
Who this book is for
This book is for IoT developers, engineers, and tech enthusiasts, particularly those with a background in Python, looking to integrate artificial intelligence and machine learning into IoT systems. Python developers eager to apply their knowledge in new, innovative ways will find it useful. It’s also an invaluable guide for anyone with a foundational understanding of IoT concepts ready to take their skills to the next level and shape the future of intelligent devices.
Table of Contents
- Principles and Foundations of IoT and AI
- Data Access and Distributed Processing for IoT
- Machine Learning for IoT
- Deep Learning for IoT
- Optimization Techniques in IoT
- Reinforcement Learning for IoT
- Generative Adversarial Networks for IoT
- Distributed AI for IoT
- AI Cloud Platforms for IoT
- Deep Learning for Time Series Data from IoT
- AI for Video and Image Data from IoT
- AI for Text, Audio and Speech Data from IoT
- AI for Personal and Home IoT
- AI for Industrial IoT
- AI for Smart Cities IoT
Review
“Hands-On Artificial Intelligence for IoT, 2nd Edition by Dr. Amita Kapoor is a practical, hands-on guide that bridges the gap between AI theory and real-world IoT applications. The book covers cutting-edge topics like Generative AI, Transformer architectures, and Edge AI, with extensive case studies and Python code examples. A must-read for developers and engineers aiming to integrate AI with IoT systems.”
Antonio Gulli, Sr. Director, Distinguished Engineer at Google, and Author of Deep Learning for Keras
“… a solid and accessible introduction to integrating AI with IoT systems. It balances theoretical explanations with practical examples. Ideal for intermediate learners, it’s a valuable resource for building intelligent, connected systems.”
Martin Ciupa, AI Entrepreneur, Keynote Speaker
“A practical and insightful guide for AI, ML, and IoT practitioners, this book clearly explains complex topics like distributed and reinforcement learning in a hands-on and accessible way. Highly recommended for anyone looking to apply AI in real-world IoT systems. Timely, thoughtful, and written by someone who truly walks the talk.”
Rob van Kranenburg, Member of General-Purpose AI Code of Practice EU Group, IoT Council
“A practical and well-structured guide for anyone looking to add intelligence to IoT systems. The book builds up machine learning concepts clearly and connects them to real-world applications. A helpful resource for developers exploring AI-powered IoT.”
Vedat Ozan Oner, IoT Consultant and Author of Developing IoT projects with ESP32
“Hands-On Artificial Intelligence for IoT by Amita Kapoor provides a practical guide on integrating IoT data with machine learning techniques. It covers key algorithms like LSTM and reinforcement learning and highlights how to deploy IoT solutions on cloud platforms while maintaining user privacy.”
Sharmistha Chatterjee, Founder of TechAirResearch.com and Thought Leadership Webcasts, VP – Data & AI at American Express
About the Author
Amita Kapoor, a seasoned expert in Artificial Intelligence, serves as the Chief Artificial Intelligence Officer at Retured, bringing over 25 years of experience in AI, data science, and neuroscience. Her consultancy, NePeur, stands testament to her leadership in applying AI across diverse industries, enhancing operational efficiency and business intelligence. Amita is also a devoted board member of Neuromatch Academy, where she plays a crucial role in making neuroscience and deep learning education accessible to all. Holding a PhD from the University of Delhi, she has dedicated her career to education, authoring numerous articles and papers, and creating impactful online classes. Her significant contributions extend to pioneering projects in intelligent vehicle fleet management, home surveillance through AI-powered face detection, and robust data anonymization solutions. Connect with Amita on LinkedIn.
