Using limited data, this automated system predicts a company’s quarterly sales.
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.
Interactive tool lets users see and control how automated model searches work.
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.