Probabilistic ML - 18 - Probabilistic Deep Learning
This is Lecture 18 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 demonstrations of various use cases for probabilistic functionality in deep learning. 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...

▶︎
Probabilistic ML - 19 - Sampling

▶︎
Probabilistic ML - 17 - Deep Learning

▶︎
From TOBi to Super TOBi. Vodafone's AI Evolution with Jordan Anglin

▶︎
Probabilistic ML - 01 - Probabilities

▶︎
The Strange Math That Predicts (Almost) Anything

▶︎
2026 SC INBRE Biostatistics Summer Courses Week 2, Day 2 (June 9)

▶︎
Probabilistic ML - 23 - Variational Inference

▶︎
Probabilistic ML - 16 - Inference in Linear Models

▶︎
ASMR Best Triggers For Sleep Collection (No Talking) 3 Hours of Tapping & Scratching

▶︎
Probabilistic ML - 21 - Diffusion Models

▶︎
Probabilistic ML - 20 - Markov Chain Monte Carlo

▶︎
(No ADS) Calm Anxiety with EMDR Music | Relaxation & Nervous System Reset

▶︎
Probabilistic ML - 24 - Attention

▶︎
AlphaFold - The Most Useful Thing AI Has Ever Done

▶︎
Something is jamming GPS over Europe. Here's what we found

▶︎
Bayesian Nonparametrics 1 - Yee Whye Teh - MLSS 2013 Tübingen

▶︎
Gil Strang's Final 18.06 Linear Algebra Lecture

▶︎
Your Life As Every Quant Finance Rank

▶︎
