Machine Learning in Physics 7.5 credits
About the course
This course is designed to introduce undergraduate physics students to the fundamental concepts of machine learning, emphasizing both theoretical foundations and practical applications specific to physics. It covers a broad range of essential machine-learning techniques and models, and addresses the statistical challenges associated with optimizing these methods and evaluating the solutions they produce. Through this course, students will gain a deep understanding of how machine learning can be applied to solve real-world physics problems.
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