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Delves into the complementary methodologies of discrete choice and machine learning, covering notations, variables, models, data processes, extrapolation, what-if analysis, and more.
Explores the development of data science, education initiatives, and challenges in bridging the gap between data scientists and domain experts at EPFL.
Covers the basics of image processing for Earth observation, including course objectives, administration details, interdisciplinary aspects, and key image processing concepts.
Examines the effects of ChatGPT on student performance and learning in robotics courses, revealing insights into its usage and impact on educational outcomes.
