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A Gentle Introduction to Data, Learning PDF

227 Pages·11 MB·English
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by Francisco Chinesta| 227 pages| 11| English

About A Gentle Introduction to Data, Learning

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.

Detailed Information

Author:Francisco Chinesta
Pages:227
Language:English
File Size:11
Format:PDF
Price:FREE
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