Deep Learning with Text

Patrick started the Data Science team at S&P Global Market Intelligence, a business and financial intelligence firm and data provider, and serves in the role of Lead Data Scientist there. Working in a major company for which data is both the primary raw material and finished product provides an unusually broad, target-rich environment for data scientists. The Data Science team at S&P GMI employs a wide variety of data science tools and techniques, including machine learning, natural language processing, recommender systems and graph analytics, among others. Prior to joining S&P Global Market Intelligence, Patrick received degrees in Economics (BA) and Systems Engineering (MS), both at the University of Virginia. His graduate research focused on complex systems and agent-based modeling. Matthew is a leading expert in AI technology, known for his research, software and writings. He completed his PhD in 2009, and spent a further 5 years publishing research on state-of-the-art natural language understanding systems. Anticipating the AI boom, he left academia in 2014 to develop spaCy, an open-source library for industrial-strength NLP.