Probabilistic Programming and Bayesian Nonparametrics -- Frank Wood (Part 3) Published 2014-11-17 Download video MP4 360p Download video MP4 720p Recommendations 1:23:22 Probabilistic Modeling and Inference at Scale -- Ralf Herbrich (Part 1) 1:33:57 Probabilistic Programming and Bayesian Nonparametrics -- Frank Wood (Part 1) 21:50 What is a Monad? - Computerphile 1:28:22 Deep Learning -- Yoshua Bengio (Part 1) 42:26 Hamiltonian Monte Carlo and Stan -- Michael Betancourt (Part 2) 18:24 The Chain Rule 1:29:54 Submodularity and Optimization -- Jeff Bilmes (Part 1) 49:47 Observer Pattern – Design Patterns (ep 2) 56:31 3. Foundations: Freud 43:31 2. Branching and Iteration 1:30:56 Bayesian Uncertainty Quantification for Differential Equations -- Mark Girolami (Part 1) 1:31:31 Python Basics | Python Tutorial For Beginners | Learn Python Programming from Scratch | Edureka 12:25 Understanding How Vector Databases Work! 1:32:43 Deep Learning -- Yoshua Bengio (Part 2) 22:31 threading vs multiprocessing in python 36:45 Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!! 1:13:30 Introduction to Machine Learning -- Neil Lawrence (Part 1) 58:47 4. Foundations: Skinner 25:15 How to calculate p-values Similar videos 2:06:02 Probabilistic Programming and Bayesian Nonparametrics -- Frank Wood (Part 2) 1:29:02 Probabilistic Modelling -- Iain Murray (Part 3) 1:06:26 Frank Wood - Probabilistic Programming and Inference Compilation, or, How I Learned to Stop... 15:15 Automated Geosteering with Bayesian Networks - Factor Technology 1:09:58 Probabilistic programming: Bayesian Non-Parametrics and Semantics [2/4] - Sam Staton - OPLSS 2019 25:26 A New Approach to Probabilistic Programming Inference -- Frank Wood 24:49 Frank Wood: "Inference Compilation" 19:14 An Introduction to Probabilistic Programming - Nil Geisweiller 57:06 Generative probabilistic programming: applications and new ideas 1:58:24 Tutorial: Probabilistic Programming 20:36 Kristian Kersting: "Democratizing Machine Learning using Probabilistic Programming" 57:59 Accelerating Data Science with HPC: Probabilistic Programming, Wood 1:06:51 Probabilistic Programming Tutorial Part 1 20:59 Adam Scibior: "Denotational account of approximate Bayesian inference" 1:17:36 Accelerating Data Science with HPC: Probabilistic Programming, Inference Compilation, Wood 28:50 What is Deep Probabilistic Programming? 1:29:39 AGI-15 Keynote by Frank Wood - Probabilistic Programming 1:00:54 Probabilistic Machine Learning - Prof. Zoubin Ghahramani More results