Enabling the Power of Dimensionality Reduction: An Introduction to Principal Component Analysis
Dimension reduction is an increasingly important part of the learning process of machine learning programs as data sets grow larger. Today we will look at the linear transformation method of Principal Component Analysis on low dimensional vector spaces to potentially improve the learning process.
