John Okase

The Power of Dimensionality Reduction in the Age of AI

What is Dimensionality Reduction? At its core, dimensionality reduction is a process of reducing the number of variables in a dataset while retaining as much relevant information as possible. This is achieved by transforming the original high-dimensional dataset into a lower-dimensional space, making it easier to visualize, analyze, and process.