Probabilistic ML - 14 - Exponential Families
Автор: Tübingen Machine Learning
Загружено: 2025-06-06
Просмотров: 1194
This is Lecture 14 of the course on Probabilistic Machine Learning in the Summer Term of 2025 at the University of Tübingen, taught by Prof. Philipp Hennig.
Contents include a concrete example for the construction of a novel, analytic exponential family, and the introduction of the Laplace approximation.
Probabilistic ML is an integral part of the curriculum of the International Masters Degree in Machine Learning, alongside associated courses on deep learning, statistical machine learning, reinforcement learning, and much more.
Playlist for the course: • Probabilistic Machine Learning 2025 - Phil...
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