Eigenvectors and Eigenvalues

About this Course

Learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications.

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In the computational world of AI you will often encounter enormous amounts of data that needs to be processed. Often, the data volume will be so large that you will need to use some form of data reduction technique. Eigen-concepts are a big part of the mathematical background needed to understand a useful data reduction tools, called
Principal Component Analysis (PCA).

lesson 1
Vectors
Linear Transformation
lesson 2
Definitions and Calculations
Characteristic Equation of a matrix
Eigenvalues
Eigenvectors
lesson 3
Why is the relevant to Machine Learning?
Principle Component Analysis (PCA)