Statistical Natural Language Processing

Catalog description

The aim of this course is to provide the students with experience in applying mathematical models, cutting-edge algorithms, and large-scale computing resources to the analysis of big data in real-world settings. Subjects to be covered will be drawn from areas such as time series analysis, mathematical modeling, formulation of algorithms, and natural language processing. Students will gain an invaluable experience in analyzing quantitative and qualitative data, and learn best in-class practices for applying these models to real world datasets.