Linear Algebra with Applications in Machine Learning

Name: Linear Algebra with Applications in Machine Learning
Price: 151.75 AUD
Availability: PreOrder

From Intuitive Understanding to Python Coding

By: Jalil Piran

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Hardcover | 18 May 2026

At a Glance

Format
Hardcover

Dimensions(cm)
23.5 x 15.5

Hardcover

$151.75

or 4 interest-free payments of $37.94 with

Available: 18th May 2026

Preorder. Will ship when available.

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.

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