Machine Learning for Science and Engineering: Volume I: Fundamentals (Course Notes) - Softcover

Jaramillo, Herman; Rüger, Andreas

Softcover

ISBN 10: 1560803886 ISBN 13: 9781560803881

Verlag: Society of Exploration Geophysicists, 2023

Inhaltsangabe

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.

Details zur Ausgabe

• Verlag: Society of Exploration Geophysicists
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 1560803886
• ISBN 13: 9781560803881
• Einband: Taschenbuch
• Anzahl der Seiten: 408
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar