Linear Algebra
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Advanced Topics
Explorations of eigenvalues, matrix decompositions, and curved coordinate systems.
Curved Coordinates and Metrics
Eigenvalues and Matrix Decompositions
Applications
Uses of linear algebra in machine learning, data science, and computational problems.
Computational Implementation
Data Science and Machine Learning
Foundations
Introductions to core concepts including vector spaces, matrices, and fundamental operations.
