Probabilistic ML - 05 - Regression
This is Lecture 5 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 parametric regression, in weight and function space, using abstractions afforded by Gaussian distributions. 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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Probabilistic ML - 06 - Gaussian Processes

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Probabilistic ML - 11 - Kalman Filters

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Gaussian Processes

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Statistical Rethinking 2026 - Lecture A01 - Introduction to Bayesian Workflow

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Quantum BC Seminar Series on August 12, 2025: Elham Torabian and Jonas Jäger

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Probabilistic ML - 01 - Probabilities

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Is the AfD a threat to Germany? Mehdi Hasan & Maximilian Krah | Head to Head

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Probabilistic ML - 10 - Time Series and Markov Chains

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AlphaFold - The Most Useful Thing AI Has Ever Done

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Information Theory Basics

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Place your brain in the frequency of wealth, prosperity and total abundance - Attraction Law

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What’s Missing From Modern Life?

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Bayesian Nonparametrics 1 - Yee Whye Teh - MLSS 2013 Tübingen

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Probabilistic ML - 23 - Variational Inference

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Probabilistic ML - 09 - a bit of Gaussian process theory

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If You Have A Bad Memory, I’ll Help You Fix It In 28 Minutes

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Probabilistic ML - 12 - Dynamical Systems

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The Strange Math That Predicts (Almost) Anything

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