Learn linear algebra fundamentals through interactive exercises and visualizations. This comprehensive guide uses SageMath to provide hands-on experience with essential linear algebra concepts for machine learning and data science.
Topics Covered¶
Vectors and vector spaces
Matrix operations and transformations
Linear independence and basis
Eigenvalues and eigenvectors
Singular value decomposition (SVD)
Applications in machine learning and data science
Interactive SageMath exercises
Access the Full Guide¶
The complete linear algebra guide is available as an interactive resource with SageMath exercises, visualizations, and practical applications in machine learning.