"Probabilistic scripts for automating common-sense tasks" by Alexander Lew Published 2019-09-15 Download video MP4 360p Recommendations 38:49 "Machine learning failures - for art!" by Janelle Shane 52:29 "I See What You Mean" by Peter Alvaro 1:26:34 Chris Fonnesbeck - Probabilistic Python: An Introduction to Bayesian Modeling with PyMC 1:05:22 Martin Jankowiak - Brief Introduction to Probabilistic Programming 34:55 "Outperforming Imperative with Pure Functional Languages" by Richard Feldman 40:30 "Concatenative programming and stack-based languages" by Douglas Creager 38:51 "Python Performance Matters" by Emery Berger (Strange Loop 2022) 54:31 Stuart Russell: "Probabilistic programming and AI" 21:14 [09x02] Essential Concepts for Bayesian Statistics, Probabilistic Programming and Turing.jl 41:40 "Categories for the Working Hacker" by Philip Wadler 40:57 "Type-Driven API Design in Rust" by Will Crichton 15:11 Bayes theorem, the geometry of changing beliefs 42:43 "Propositions as Types" by Philip Wadler 40:27 "Finding bugs without running or even looking at code" by Jay Parlar 39:26 "Cursorless: A spoken language for editing code" by Pokey Rule (Strange Loop 2023) 56:39 "Why Programming Languages Matter" by Andrew Black 33:32 "Whoops! I Rewrote it in Rust" by Brian Martin 43:32 Vincent Warmerdam: Winning with Simple, even Linear, Models | PyData London 2018 Similar videos 12:00 On automating the estimation of Radon-Nikodym derivatives for probabilistic programs (LAFI 2021) 36:27 "Probabilistic Programs Which Make (Common) Sense" by Zenna Tavares 34:10 Cleaning Messy Data With Julia and Gen | Alex Lew | JuliaCon 2019 48:10 "New programming constructs for probabilistic AI" by Marco Cusumano-Towner 31:13 Probabilistic Programming: The What, Why and How 24:43 [08x11] What is Probabilistic Programming? 1:08:34 Modeling human intelligence with Probabilistic Programs and Program Induction 47:15 Towards Probabilistic Programming for Reliable Machine Perception - Marco Cusumano-Towner 1:09:51 Tutorial: Probabilistic Programming 19:55 Trace Types and Denotational Semantics for Sound Programmable Inference in Probabilistic Languages 57:03 The State of the Art for Probabilistic Programming - Thomas Wiecki | PyData Global 2021 26:03 Calibration analysis of probabilistic models in Julia | David Widmann | JuliaCon2021 1:04:19 "We Really Don't Know How to Compute!" - Gerald Sussman (2011) More results