Linear Algebra for AI
- Vector Spaces slides
- A little history of Linear Algebra.
- From Fileds to stacked structures
- How Descartes open the door to such representations
- Recognizing sub-spaces
- Relation between coordinates and basis
- Some applications
- Linear Equations slides
- The Beginning of everything
- How we did have an idea but Descartes open the door.
- Gauss-Jordan as Elmentary Matrix Multiplications
- Solving \(Ax=y\)
- Homogeneous and in-homogeneous systems
- The Beginning of everything
- Square Matrices slides
- The inverse of a matrix
- Solution to \(Ax\)
- Algorithms for inverting a matrix
- Basis and Eigenvectors slides
- The Norm as a metric
- The Row and Column Space
- Fundamental Theorem of Linear Algebra
- Projections
- Solving the Least Squared Error
- Gram Schmidth Process
- QR Decomposition
- Defining eigenvectors and eigenvalues
- Finding them
- On the existence of Eigenvalues
- Interesting Derivations
- Linear Transformation slides Expanding the slides
- Introduction
- The Algebra of Linear Transformations
- Isomorphism
- Representng Transformations
- Functionals
- Elementary Cannonical Forms
- Characteristic Values
- Annihilating Polynomials
- Invariant Subspaces
- Direct-Sum Decomposition
- Invariant Direct Sums
-
Jordan Forms
\[\] - Inner Product
- Introduction
- Linear Functionals
- Unitary Operators
- Normal Operators
UNDER CONSTRUCTION