I develop and study statistical machine learning systems with applications in human language, biology, and social science. Currently, I am most excited about using these technologies to help people learn languages. Burr Settles leads the research group at Duolingo. An award-winning website and mobile app offering free language education for the world. A global annual songwriting experiment. He is the author of Active Learning. Morgan and Claypool, 2012.

Computer Science and Information Management program. Computer Science and Information Management program. Is an academic program under the. School of Engineering and Technology. Apply now to get RTG scholarship! Area of Specialization in Software Engineering. Conferences, workshops and seminars. Laboratories and research facilities at CSIM. Other information related to CSIM.

2014 MS Project Presentation Examples. CSE Student Affairs Office Hours.

Diversity, Equity and Inclusion. UC San Diego Hosts Its First Virtual Reality, Augmented Reality Hackathon. Students Launch Hackathon for Virtual, Mixed and Augmented Reality. UC San Diego Launches edX Online MicroMasters in Algorithms and Data Structures. CSE Alumnus Runs for School Board.

Department of Computer Science and Engineering. University of California, San Diego. I am accepting PhD students for the Fall 2018 intake. Due to the volume of inquiries about graduate admissions, I might not able to respond to individual emails. All applications are reviewed by the department admissions committee. Please submit your application through the UCSD system.

2014 MS Project Presentation Examples. CSE Student Affairs Office Hours.

I am a graduate student in the Artificial Intelligence Group. At the University of California, San Diego. I work on theory and application of machine learning, particularly deep learning and multilabel classification. In other work, I develop algorithms to exploit sparsity. Enabling the efficient training of classifiers for large-scale multilabel learning on natural language datasets. Optimal Thresholding of Classifiers to Maximize F1 Measure.

I develop machine learning tools to analyze music and multimedia data. This includes recommender systems, image and audio analysis, similarity learning, cross-modal feature integration, and automatic annotation. As of Fall, 2014, I am a data science fellow at the Center for Data Science. And Music and Audio Research Lab. Previously, I was a postdoctoral research scholar in the Center for Jazz Studies. In the Computer Audition Lab.