Summary on Eigenvalues And Eigenvectors

To reiterate an important point, eigenvectors and eigenvalues are not very intuitive. Due to our inherent inability to visualise distorted space, it is difficult to visualise the definition and properties of an eigenvector. However, they are used regularly to gauge some information about a given matrix.

In this session, you first learnt what eigenvectors and eigenvalues are, and what they mean.

Further, you learnt how to calculate eigenvalues and eigenvectors.

Finally, you saw a quick application of eigenvalues in Principal Component Analysis.