School of Continuing Studies
Machine learning can classically be summarized with two methodologies: supervised and unsupervised learning. In supervised learning, the “correct answers” are annotated ahead of time and the algorithm tries to fit a decision space based on those answers. In unsupervised learning, algorithms try...
Jul 19—27, 2019
4 days in Washington, District of Columbia, United States