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​Hands-On Artificial Intelligence for IoT

​Hands-On Artificial Intelligence for IoT - Second Edition

By : Dr. Amita Kapoor
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​Hands-On Artificial Intelligence for IoT

​Hands-On Artificial Intelligence for IoT

5 (1)
By: Dr. Amita Kapoor

Overview of this book

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. *Email sign-up and proof of purchase required
Table of Contents (23 chapters)
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Part 1: Foundations and Basic Integrations of IoT and AI
5
Part 2: Advanced AI Techniques and Their Application in IoT
10
Part 3: Implementing Intelligent IoT Solutions in Diverse Domains
16
Part 4: Applying AI and IoT in Real-World Scenarios

Summary

AI-powered IoT solutions can help connect cities and manage multiple infrastructure and public services. This chapter covered diverse use cases of smart cities, from smart lighting and road traffic to connected public transport and waste management. From the successful case studies, we also learned that smart cities can lead to reduced costs for energy, optimized use of natural resources, safer cities, and a healthier environment. This chapter listed some of the open city data portals and the information available there. We use the tools learned about in this book to categorize synthetic crime data into hotspots. And finally, this chapter discussed some challenges and benefits in the building of smart cities.

Six years - that’s the span between the first edition of this book in 2019 and this one in 2025, and what a difference those years have made in the world of AI. The acceleration of automation in our cities and organizations, the disruptive force of generative...

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​Hands-On Artificial Intelligence for IoT
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