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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 (22 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

Principles and Foundations of IoT and AI

Congratulations on purchasing this book; it suggests that you’re keenly interested in keeping yourself updated with the recent advancements in technology. This book addresses the major trends shaping today’s business landscape, including the Internet of Things (IoT), enhanced by Large Language Models (LLMs), big data, Artificial Intelligence (AI), and the emerging field of Generative AI. The exponential growth in the number of devices connected to the internet, coupled with the surge in data volume generated by these devices and the integration of LLMs in IoT, necessitates the adoption of advanced analytical, predictive, and generative techniques from AI, deep learning (DL), and Generative AI. This book provides a comprehensive overview of the various analytical, predictive, and generative models and methods available in the field of AI, specifically tailored for the vast and complex data landscape created by IoT.

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