Linear Algebra With Applications In Mach

Name: Linear Algebra With Applications In Mach
Brand: Springer Verlag, Singapore

Springer Verlag, Singapore

Linear Algebra with Applications in Machine LearningFrom Intuitive Understanding to Python Coding\nAuthor(s): Md. Jalil Piran\nFormat: Hardback\nPublisher: Springer Verlag, Singapore, Singapore\nImprint: Springer Verlag, Singapore\nISBN-13: 9789819551668, 978-9819551668\nSynopsis\nThis 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.\n\nStarting with vectors and matrices, the text builds toward systems of linear equations, transformations, determinants, eigenvalues, and vector spacesthen extends to orthogonality, matrix factorizations ([url] SVD, QR, LU), tensors, and optimization. Each concept is introduced with clear geometric intuition, d.