Data-driven modeling and learning in science and engineering
Abstract
In the past, data in which science and engineering is based, was scarce and frequently obtained by experiments proposed to verify a given hypothesis. Each experiment was able to yield only very limited data. Today, data is abundant and abundantly collected in each single experiment at a very small cost. Data-driven modeling and scientific discovery is a change of paradigm on how many problems, both in science and engineering, are addressed. Some...
Paper Details
Title
Data-driven modeling and learning in science and engineering
Published Date
Nov 1, 2019
Journal
Volume
347
Issue
11
Pages
845 - 855
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