One of the most interesting topics to visualize in Linear Algebra are Eigenvectors and Eigenvalues. Here you will learn how to easily calculate them and how they are applicable and particularly interesting when it comes to machine learning implementations.
Overview
Syllabus
- Vectors
- Linear Transformation
- Definitions and Calculations
- Characteristic Equation of a matrix,Eigenvalues,Eigenvectors
- Why is the relevant to Machine Learning?
- Principle Component Analysis (PCA)
Taught by
Ortal Arel
