Jorge Castañón is the lead data scientist of the IBM Data Science Experience. He received his Ph.D. in Computational and Applied Mathematics from Rice University. Jorge has a genuine passion for data science and machine learning applications of any kind.
Historical application of vector mathematics and the study of unstructured text data can be an important approach to understanding and actualizing the value of data. See how mathematical exploration of text data can unearth insight that translates into enhanced decision making.