Articles liés à Machine Learning for Science and Engineering: Volume...

Machine Learning for Science and Engineering: Volume I: Fundamentals - Couverture souple

Jaramillo, Herman; Rüger, Andreas

 
9781560803881: Machine Learning for Science and Engineering: Volume I: Fundamentals
Couverture souple
ISBN 10 : 1560803886 ISBN 13 : 9781560803881
Editeur : Society of Exploration Geophysicists, 2023

Synopsis

As the size and complexity of data soars exponentially, machine learning (ML) has gained prominence in applications in geoscience and related fields. ML-powered technology increasingly rivals or surpasses human performance and fuels a large range of leading-edge research. This textbook teaches the underlying mathematics, terminology, and programmatic skills to implement, test, and apply ML to real-world problems. It builds the mathematical pillars required to thoroughly comprehend and master modern ML concepts and translates the newly gained mathematical understanding into better applied data science. Exercises with raw field data, including well logs and weather measurements, prepare and encourage the reader to begin using software to validate results and program their own creative data solutions. Most importantly, the reader always keeps an eye on ML's imperfect data situations as encountered in the real world.

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Éditeur
Society of Exploration Geophysicists
Date d'édition
2023
Langue
anglais
ISBN 10 
1560803886
ISBN 13 
9781560803881
Reliure
Broché
Nombre de pages
408
Coordonnées du fabricant
non disponible
Personne responsable
non disponible