Take part in workshops led by professors, engineers, and students to gain applied exposure to machine learning.
Be invited to talks and seminars led by prominent members of the ML community, including Duke's Datathon and Machine Learning Day.
Connect with exciting projects, research, and job opportunities related to machine learning and data science on- and off-campus.
Co-president. Mathematics and computer science '19. Interested in deep learning and robotics.
Co-president. Computer science, statistical science, and mathematics '20. Interested in ML and computer vision.
Vice president. Computer science and neuroscience '19. Interested in social computing and collaboration.
Finance director. Computer science and economics '20. Interested in computer vision and geospatial data.
Alumni. BME and ECE '18 with a minor in mathematics. Attending graduate school at Harvard.
Alumni. Computer science '18. Interested in ML and differential privacy. Headed to Apple.
Faculty advisor. Assistant professor of statistical science at Duke University. MIT 35 under 35.
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