Vector Fundamentals
Vector Fundamentals
Linear Algebra
Linear Algebra for AI & ML
less than a minute
In this section, we will cover the topics related to Linear Algebra for AI & ML.
Linear Algebra for AI & ML
This sheet contains all the topics that will be covered for Linear Algebra 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
End of Section
Matrix Operations
Matrix Operations
Eigen Value Decomposition
Eigen Values, Eigen Vectors, & Eigen Value Decomposition
Principal Component Analysis
Principal Component Analysis
Singular Value Decomposition
Singular Value Decomposition
Vector & Matrix Calculus
Vector & Matrix Calculus
Vector Norms
Vector & Matrix Norms
Hyperplane
Equation of a Hyperplane