What is the Difference Between Vectoring and Tokenizing in Machine Learning

Machine learning (ML) relies heavily on data processing techniques to prepare text and numerical data for models. Two fundamental steps in natural language processing (NLP) and machine learning are vectoring and tokenizing. These techniques help convert raw text into a structured format that machine learning algorithms can understand. While both are crucial in handling textual…