#probabilisticmodeling 搜尋結果
New work on #RiemannianManifolds and #GeometricDataAnalysis — unifying #ProbabilisticModeling with #InformationGeometry for advanced #MachineLearning. Check out my published pre-print!!! dx.doi.org/10.2139/ssrn.5…
On the core of Variational Inference by Prof. David Blei @blei_lab @DSI_Columbia #MachineLearning #ProbabilisticModeling #MLSS
#mdpientropy "Self-Supervised Variational Auto-Encoders" mdpi.com/1099-4300/23/6… deep #generativemodeling #probabilisticmodeling #deeplearning
Bayesian Reasoning and Machine Learning - freecomputerbooks.com/Bayesian-Reaso… Look for "Read and Download Links" section to download. #ProbabilisticModeling #BayesianReasoning #Bayesian #machinelearning #ProbabilisticMachineLearning #DeepLearning
#mdpientropy "Probabilistic Models with Deep Neural Networks" mdpi.com/1099-4300/23/1… deep #probabilisticmodeling #variationalinference #neuralnetworks #latentvariablemodels #Bayesianlearning
Nikolay Malkin, finishing postdoc @Mila_Quebec with #YoshuaBengio and now Prof @EdinburghUni is looking for PhD students 24-25. Certainly one of the brightest minds these days in #ProbabilisticModeling and #MachineLearning. malkin1729.github.io
Representing @HaystaxTech at the 2019 TomTom Applied ML conference in Charlottesville, VA. #ProbabilisticModeling
.@TomTomFest Applied ML conference has dedicated a whole block for Probabilistic Programming. Nice! #ProbabilisticModeling
Using Pomegrante to uncover who #GossipGirl is 🙈 (Dan) #DataScience #ProbabilisticModeling in #Python #DSESummit2017 github.com/jmschrei/pomeg…
A tutorial on Variational Inference for fast Bayesian estimation of complex models combined with #BigData by Tamara Broderick. #ProbabilisticModeling #ProbabilisticProgramming #DataScience #MachineLearning facebook.com/11889627195823…
Five reason why @colindcarroll is excited about the latest release of #PyMC3. Check model initialization, Visualize your models, & Sample from the prior in absence of data, etc. buff.ly/2LJRfH6 #ProbabilisticModeling #ProbabilisticProgramming #DataScience #MachineLearning
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
Up first @TomTomFest ML is @AustinRochford making a case for the elegance of Hamiltonian Monte Carlo. #ProbabilisticModeling
End of Day 1 at #ProbProg (buff.ly/2yejHeM) at MIT: Meet & greet, tutorials, developer meetups, & consulting sessions. Great running into old & new friends @colindcarroll @stefan_webb @willwolf_ @djsyclik #ProbabilisticProgramming #ProbabilisticModeling
Josh Tenenbaum(MIT) talks about how to leverage #ProbabilisticProgramming languages with the intuitive physics engine to achieve human-like intelligence. #ProbProg #ProbabilisticModeling
Another great talk by Prof. @ChrisBishopMSFT on model-based #MachineLearning buff.ly/2mEzmyo. Useful especially for new comers to the field of ML. Key takeaway: Build a bespoke model for your problem. #ProbabilisticModeling #ProbabilisticProgramming #DataScience
Math makes AI accountable, because math leaves a trace. Probabilistic modeling doesn’t just predict. It explains. 👉 landing.packtpub.com/mathematics-of… #ML #ProbabilisticModeling #100DaysOfMathematicsOfML #AIaccountability
#mdpienergies Article Enabling Methodologies for Predictive Power System Resilience Analysis in the Presence of Extreme Wind Gusts 👉mdpi.com/1996-1073/13/1… #powersystemsresilienc #probabilisticmodeling #smartgrid @UstaUnisannio 💡More related articles: mdpi.com/journal/energi…
📣 Call for reading: "Probabilistic Logic Models for the Lightning Network" by Damiano Azzolini and Fabrizio Riguzzi 👉 Find more at the following link: mdpi.com/2410-387X/6/2/… #LightningNetwork #ProbabilisticModeling
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