Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models
by Theodoridis, Sergios, Sergios Theodoridis
Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models presents a broad view of machine learning’s changing landscape. It brings classical methods together with deep networks, transformers, and diffusion models, offering readers an integrated way to understand the field’s major approaches and continued evolution.
About This Book
This book explores machine learning across major stages of its development.
It connects classical machine learning approaches with contemporary deep networks.
Transformers and diffusion models are included as part of the modern landscape.
The broad scope makes it suitable for readers seeking an integrated perspective on machine learning methods.
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