Interactive Machine Learning

Some of these students created videos of their work, a few of which I share below. A more formal description of the course is below the videos. Many applications of machine learning involve interactions with humans. Humans may provide input to a learning algorithm, including input in the form of labels, demonstrations, corrections, rankings, or evaluations. And they could give such input while observing the algorithm's outputs, potentially in the form of feedback, predictions, or demonstrations.