Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
616 B
616 B
Linear Algebra Basics
NumPy provides linear algebra operations, including matrix multiplication (np.dot, @), matrix inversion, determinants, and eigenvalues. These are used in statistics (covariance matrices), machine learning (feature transformations), and scientific computing. Understanding the basics of matrix operations is useful for reading ML algorithm implementations.
Visit the following resources to learn more: