Machine Learning Techniques for Space Weather

Machine Learning Techniques for Space Weather

Enrico Camporeale , Simon Wing , Jay Johnson
Pas encore d'évaluations
May 31, 2018 · Anglais · Kindle (397 pages)
Ajouter à l'étagère

Évaluer ce livre


Exporter le journal de lecture

Détails du livre

Format Kindle
Pages 397
Langue Anglais
Publié May 31, 2018
Éditeur ELSEVIER
ISBN-10 0128117893
ISBN-13 9780128117897

Description

In the realm of space weather, understanding complex phenomena can be daunting. This book offers a clear exposition of various machine learning techniques that serve to demystify the intricacies involved. The authors, with their extensive expertise, guide readers through a range of methodologies, equipping them with the necessary tools to analyze and predict space weather events effectively.

Designed for both newcomers and seasoned practitioners, the text emphasizes practical applications and real-world implications of machine learning in this field. Readers will appreciate the blend of theoretical foundations and case studies, which highlight the transformative potential of these technologies in enhancing our understanding of solar activity and its impact on Earth's environment.

Genres

Science & Technologie
Ajouter à l'étagère

Évaluer ce livre


Exporter le journal de lecture