Turing.jl Newsletter 7
The fortnightly newsletter for the Turing.jl probabilistic programming language
Turing models are easy to write and communicate — their syntax closely resembles mathematical notation.
Turing supports models with discrete parameters and stochastic control flow.
Turing is written entirely in Julia, and is interoperable with its powerful ecosystem.
Some text about how easy it is to get going.
Some text about how easy it is to interface with external packages like AbstractGPs. Learn more about modelling Gaussian Processes with Turing.jl.
Learn about all the packages that are part of the TuringLang organization.
Familiarize yourself with the mechanics of Turing.jl.
Learn to tackle specific modelling problems with Turing.jl.
Placeholder text introducing this section on algorithms.
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Entry A | Entry D | Entry G | Entry J |
Entry B | Entry E | Entry H | Entry K |
Entry C | Entry F | Entry I | Entry L |
Placeholder text introducing the Bayesian Workflow diagram from the ACM special issue submission.
An example of the Beeysian workflow.
Placeholder for intro text on list of talks which are available online
This list contains a few other written resources for learning Turing. If you have written something and would like to share it with the community, please get in touch!