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This lecture presents the machine learning teaching panorama at EPFL, focusing on the various courses offered, the collaboration between lecturers, data collection initiatives, and ongoing projects such as unifying education efforts. Discussions include the motivation behind teaching machine learning, previous efforts to coordinate teaching plans, and the integration of ethics and responsibility into ML courses. The lecture also explores the potential for synergies across sections and the development of generic lectures and labs with domain-specific examples.
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