Vectorization (in Machine Learning)

Vectorization is the process of transforming diverse types of data inputs—such as text, images, or categorical data—into numerical vector formats suitable for machine learning algorithms. This conversion is pivotal because most ML algorithms operate on numeric matrices rather than raw data formats. Effective vectorization can improve model performance by providing meaningful numeric representations that capture the essence of the original input without redundancy or noise.