Machine learning for science and engineering: volume i: fundamentals
Auteur :
Jaramillo, Herman / Rüger, Andreas
Éditeur :
Society of Exploration Geophysicists
ISBN :
9781560803881
Date de publication :
1 mai 2023
Dimensions :
28,0 x 21,6 cm
Poids :
528 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Teaches the underlying mathematics, terminology, and programmatic skills to implement, test, and apply machine learning (ML) to real-world problems. The books builds the mathematical pillars required to comprehend and master modern ML concepts and translates the newly gained mathematical understanding into better applied data science.