B&B Faculty Carlson And Henao To Co-Lead Winter Course On Machine Learning With Larry Carin

As part  of the Natural Language Processing (NLP) Winter School (WS), Together Duke will offer a class on the fundamentals of machine learning and natural language processing taught by B&B Faculty members David Carlson, PhD and Ricardo Henao, PhD and Vice President of Research Larry Carin, PhD.

Machine learning is a field characterized by development of algorithms that are implemented in software and run on a machine (e.g., computer, mobile device, etc.). Each such algorithm is characterized by a set of parameters, and particular parameter settings yield associated algorithm characteristics. The algorithms have the capacity to learn, based on observed data. By “learn” it is meant that the algorithm can rigorously quantify which parameter settings are best matched to the data of interest.

Recently, with increasing access to massive datasets, and to significant advances in computing resources, the quality of machine learning performance has improved markedly. Further, over the last five years, significant advances have been made in a subfield of machine learning called “deep learning.”

Learn more about this course and how to here.