In this section, we will cover the topics related to Linear Algebra for AI & ML.
Maths for AI & ML
This sheet contains all the topics that will be covered for Maths for AI & ML.
Below is the list of topics that will be covered in this section.
- Vectors
- Vector Space
- Vector Addition & Multiplication
- Orthogonal & Orthonormal Vectors
- Linear Independence
- Span
- Basis
- Matrix & Transpose
- Matrix Multiplication
- Square Matrix
- Trace
- Determinant
- Inverse Matrix
- Orthogonal Matrix
- Diagonal Matrix
- Eigenvalue & Eigenvector
- Eigendecomposition
- Spectral Decomposition
- Singular Value Decomposition
- Principal Component Analysis
- Norms
- Matrix Calculus
- Equation of a Hyperplane
We will understand each topic from pure AI & ML perspective.
We will NOT go into much of theoretical proof of everything.
However, we will dive deep as and when required.
However, we will dive deep as and when required.