Note publique d'information : 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.
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
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