dimensionality

In machine learning, the term “curse of dimensionality” refers to the challenges that arise when working with high-dimensional data. As the number of features (dimensions) increases, models often face increased computational complexity, sparsity issues, and degraded performance. Understanding how dimensionality impacts machine learning algorithms is crucial for designing efficient models. But what exactly is the … Read more