Machine Learning: Curse of Dimensionality

This article likely discusses the challenges posed by the 'curse of dimensionality' in machine learning. This refers to the phenomenon where the performance of machine learning algorithms degrades as the number of features (dimensions) in the data increases. The analysis would likely cover the impact on model training, the need for more data, and techniques to mitigate the problem, such as dimensionality reduction.