Dimensionality

Dimensionality refers to the number of features or variables used to describe a dataset or a problem in machine learning, data analysis, and other fields. Understanding dimensionality is crucial in the tech community as high-dimensional data can lead to the curse of dimensionality, making it challenging to analyze and model, while reducing dimensionality can improve model performance, data visualization, and computational efficiency, making it a key consideration in research and development of AI, data science, and related applications.