Linear Algebra with Applications in Machine Learning: From Intuitive Understanding to Python Coding - Couverture rigide

Piran, Jalil

 
9789819551668: Linear Algebra with Applications in Machine Learning: From Intuitive Understanding to Python Coding
Couverture rigide
ISBN 10 : 9819551668 ISBN 13 : 9789819551668
Editeur : Springer Verlag, Singapore, 2026

Synopsis

This textbook is a comprehensive, application-driven guide to mastering linear algebra from foundational principles to advanced machine learning applications. Designed for students, researchers, and professionals in AI, data science, and engineering, the book blends mathematical rigor with practical implementation using Python and popular libraries such as NumPy, SciPy, Matplotlib, and scikit-learn.

Starting with vectors and matrices, the text builds toward systems of linear equations, transformations, determinants, eigenvalues, and vector spaces―then extends to orthogonality, matrix factorizations (e.g., SVD, QR, LU), and optimization. 

This book is suitable for either beginner aiming to grasp key ML concepts or an advanced learner exploring spectral methods and tensor decompositions, this book serves as a flexible resource, grounded in mathematics, empowered by code.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Md. Jalil Piran is an Associate Professor in the Department of Computer Science and Engineering at Sejong University, Seoul, South Korea. He received his Ph.D. in Electronics and Information Engineering from Kyung Hee University, South Korea, in 2016, followed by a post-doctoral fellowship at the same institution. His research interests include Artificial Intelligence, Machine Learning, Data Science, Big Data, the Internet of Things (IoT), and Cyber Security. His extensive body of work has been published in top-tier international journals and presented at high-profile conferences.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Verlag, Singapore
Date d'édition
2026
Langue
anglais
ISBN 10 
9819551668
ISBN 13 
9789819551668
Reliure
Relié
Nombre de pages
473
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