#probabilisticprogramming hasil pencarian
Two prisoners are sitting in a dark cell watching a wall. One is looking at the star, the other is trying to infer the boundaries of the window. Preparing a presentation on #probabilisticprogramming.
Greta: #ProbabilisticProgramming in #R greta-dev.github.io/greta/index.ht… Based on #TensorFlow with very nice #PyMC3-style model definition syntax.
A short preview of POPL, in St.Gallen today: Gabriele Vanoni presents his work on Bayesian Networks (exactly!) #probabilisticprogramming
Kristian Kersting (TU Darmstadt) poses a fundamental question: What if one is not a statistician? How do we enable people who are non-statisticians to use #ProbabilisticProgramming languages at work? #ProbProg #ProbabilisticModeling
Probabilistic data structures are powerful tools for approaching problems that would otherwise be computationally prohibitive. Even so, it takes careful engineering to use them effectively. Go more in-depth: bit.ly/3ivfMR9 #Probabilisticprogramming
Zoubin Ghahramani states that AI inspired by the brain is a wrong way to think about AI. Rather we should focus on how we could use AI to augment human intelligence. #ProbabilisticModeling #ProbabilisticProgramming #ProbProg
MXFusion: modular probabilistic programming library at #NeurIPS open source software workshop - great work by Eric Meissner github.com/amzn/MXFusion and Zhenwen Dai @AmazonUK #MachineLearning #probabilisticprogramming
I am not sure how this list gets made, but looks right to me 😉 #RStats #bayes #probabilisticprogramming bookauthority.org/books/beginner…
Up next at #ProbProg is @djsyclik talking about @mcmc_stan. Apparently Stan is quite popular, it's mentioned in an episode of Billions on Showtime. #ProbabilisticModeling #ProbabilisticProgramming
RT Bayesian Logistic Regression dlvr.it/SCbwFC #logisticregression #julialang #probabilisticprogramming
Josh Tenenbaum(MIT) talks about how to leverage #ProbabilisticProgramming languages with the intuitive physics engine to achieve human-like intelligence. #ProbProg #ProbabilisticModeling
Absolute pleasure to introduce our final speaker at the #DifferentiableProgramming workshop @NeurIPSConf 2021: Yuan Zhou (@yuaanzhou)! Yuan will speak about symbolic parallel adaptive importance sampling for #ProbabilisticProgramming analysis! 🎲
1st Keynote at #ProbProg by Zoubin Ghahramani: "Probabilistic Machine Learning: From Academia to Industrial Impact. #ProbabilisticProgramming #ProbabilisticModeling
RT Machine Learning Mini-Project dlvr.it/Rpvx8p #forecastingmodels #probabilisticprogramming #regression #tensorflow
Our new survey bridging the gap between Statistical Relational and #NeuroSymbolic #AI is now available on arxiv arxiv.org/abs/2003.08316 Many concepts from star ai and #probabilisticprogramming carry over to neurosymbolic @sebdumancic @giuseppe__marra @ManhaeveRobin
Aujourd'hui, au #voxxed_lu @DidierGirard nous parlera de #probabilisticprogramming via «Tuer un piéton ou sacrifier les passagers ?» !
Blogpost by @ChadScherrer on Bayesian Optimal Pricing using #PyMC3 buff.ly/2I8xonn #ProbabilisticProgramming #MachineLearning #DataScience
Blog post: Hierarchical #Bayesian rating model in #PyMC3 with application to eSports by Kevin Pei. bit.ly/2iWfyVX #ProbabilisticProgramming #DataScience
In this blogpost, @twiecki demystifies copulas through a simple visual guide: buff.ly/2HMIiLc. #ProbabilisticProgramming #MachineLearning #DataScience
RT Bayesian Logistic Regression dlvr.it/SCbwFC #logisticregression #julialang #probabilisticprogramming
Practical #ProbabilisticProgramming - Final PDF eBook Edition available now! manning.com/books/practica… @avipfeffer
Bambi – A #Pydata library for high-level Bayesian model-building, built on top of #PyMC3 by @talyarkoni buff.ly/2yW3z4w #ProbabilisticProgramming #DataScience
Practical #ProbabilisticProgramming is in print now! ePub + Kindle: April 15 manning.com/books/practica… @avipfeffer
Probabilistic data structures are powerful tools for approaching problems that would otherwise be computationally prohibitive. Even so, it takes careful engineering to use them effectively. Go more in-depth: bit.ly/3ivfMR9 #Probabilisticprogramming
Excited to join @HaystaxTech as a Data Scientist working out of the HQ in Washington, D.C. Looking forward to continue my work in #Bayesian modeling & #ProbabilisticProgramming, among other tasks.
Benefits of Probabilistic Programming zcu.io/33ie #ProbabilisticProgramming #ProgrammingTools #MachineLearning #DeepLearning #DeepNeuralNetwork #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine
Proud to be part of this team of talented folks @HaystaxTech bringing Principled AI decision making to Cybersecurity. #ArtificialIntelligence #MachineLearning #ProbabilisticProgramming #DataScience @FishtechGroup
Greta: An #Rstats package for simple Bayesian modeling [in a-few lines of code]: buff.ly/2wQEkA5 Uses #TensorFlow as computational backend. #ProbabilisticProgramming #MachineLearning #DataScience
Author of Practical #Probabilistic #Programming @avipfeffer talking Bayesian Networks goo.gl/UUh4QB #probabilisticprogramming
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