Linear Algebra

Examination of Linear Algebra

It aims to undertake a comprehensive exploration of key linear algebra concepts, laying the groundwork for a nuanced understanding of various machine learning algorithms. The focus will encompass the following essential topics:

1. Norm

2. Vector Decomposition

3. Linear Transformations and Matrices

4. Elementary Matrix Operations and Systems of Linear Equations

5. Determinant

6. Diagonalizations (Eigenvalues and Eigenvectors)