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Book Overview & Buying
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Table Of Contents
Hands-On Artificial Intelligence for IoT - Second Edition
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Machine learning (ML) and artificial intelligence (AI) have profoundly impacted numerous fields, from agriculture and music to healthcare and defense. The success of AI/ML, beyond the advances in computational power, hinges on the generation and analysis of vast amounts of data. Traditionally, much of this data has been unlabeled, making the understanding of its inherent distribution a crucial ML task. This is where generative models come into play.
In recent years, the landscape of generative AI has evolved significantly, particularly in the context of the internet of things (IoT). Generative AI, which includes models such as generative adversarial networks (GANs), variational autoencoders (VAEs), and more recently, Transformer-based models, has advanced to address the unique challenges and opportunities presented by IoT ecosystems.
As we explore the capabilities of generative AI within IoT, we’ll delve into the latest advancements, methodologies...