Ntroduction to Applied Linear Algebra – Vectors, Matrices, And Least Squares

Linear Algebra refresher for machine learning. Basics + Python implementation

Linear Algebra refresher for machine learning. Basics + Python implementation

This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed from a num-ber of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix normscombined with main direct and iterative numerical methods, least squares problems, and eigenproblems.

This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems.

This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed from a number of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix norms combined with main direct and iterative numerical methods, least squares problems, and eigenproblems.

Master Linear Algebra: Essential Math for AI , Data Science, Machine Learning, and Deep Learning Applications