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Already in 2017, humanity produced in two years more data than in its entire history. By that time, large scientific infrastructures such as the CERN, in Switzerland, produced some 30 petaBytes per year. 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.

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Introduction

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Francisco Chinesta,
  • Elías Cueto,
  • Victor Champaney,
  • Chady Ghnatios,
  • Amine Ammar,
  • Nicolas Hascoët,
  • David González,
  • Icíar Alfaro,
  • Daniele Di Lorenzo,
  • Angelo Pasquale,
  • Dominique Baillargeat

摘要

Already in 2017, humanity produced in two years more data than in its entire history. By that time, large scientific infrastructures such as the CERN, in Switzerland, produced some 30 petaBytes per year. 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.