From Many to Few: Tackling High-Dimensional Data with Dimensionality Reduction in Machine Learning

This article will discuss the curse of dimensionality in machine learning problems and dimensionality reduction as a solution for the issue.

What is the Curse of Dimensionality?

Sometimes a machine learning problem may consist of thousands or even millions of features for every training instance. Training our machine learning model on such data is extremely resource-consuming as well as time-consuming. This problem is often regarded as the ‘Curse of Dimensionality’.

Resolving the issue of …

apc article curse-of-dimensionality data dimensionality dimensionality-reduction discuss features issue lda machine machine learning solution the curse of dimensionality training