Vectorization refers to transforming data, like text or images, into numerical vectors that machines can process and understand. For instance, text can be vectorized using techniques like Word2Vec or TF-IDF, representing words as arrays of numbers that encapsulate their meanings. Vectorization enables machine learning models to handle and interpret textual or visual data efficiently, much like how digitizing a book allows for easier manipulation and analysis.