The technology that supports the processing of unstructured data in machine learning includes natural language processing (NLP) and big data analytics tools. These technologies enable the extraction of insights from diverse unstructured data sources, such as text, images, and videos. NLP allows machines to understand and interpret human language, while big data tools handle vast volumes of data efficiently. Together, they facilitate the training of machine learning models, delivering valuable analytics and enabling more sophisticated decision-making in various applications, from customer service to healthcare.