A Gentle Introduction to Data, Learning by Francisco Chinesta (.ePUB)+

File Size: 22.3 MB

A Gentle Introduction to Data, Learning, and Model Order Reduction: Techniques and Twinning Methodologies (Studies in Big Data) by Francisco Chinesta, ElĂ­as Cueto, Victor Champaney, Chady Ghnatios, Amine Ammar
Requirements: .ePUB, .PDF reader, 22.3 MB
Overview: This book is a gentle introduction to the fascinating world of Machine Learning. We focus in detail on techniques belonging to the even more fascinating discipline of scientific Machine Learning, a subset of the former that tries to extract insight from scientific data. This field of scientific Machine Learning emerges in the context of the so-called fourth paradigm of science. Indeed, science has become increasingly dependent of massive amounts of data generated by large scientific infrastructures. All these data must be collected, curated and analyzed efficiently. This book is devoted to the description of the most important algorithms that allow us to do so. This book explores the latest advancements in simulation performance, driven by model order reduction, informed and augmented Machine Learning technologies and their combination into the so-called hybrid digital twins.
Genre: Non-Fiction > Tech & Devices

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