Today's clip is from Episode 154, featuring Thomas Pinder. In this conversation, Thomas shares what he sees as the next steps for GPJax and how the project could become easier to use beyond its original research-focused audience.

He discusses creating a higher-level interface that could make fitting Gaussian processes possible in just a few lines of code, while still keeping the flexibility and infrastructure that GPJax provides. He also talks about making the documentation more engaging by moving beyond synthetic examples and showcasing real-world applications, such as modeling ocean currents with Gaussian processes.

It's a look at how GPJax could evolve from a powerful research tool into something that's even more accessible and practical for a wider range of users.

Full discussion here [https://learnbayesstats.com/episode/gaussian-processes-causal-inference-thomas-pinder]

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Making Gaussian Processes Easier to Use

Today's clip is from Episode 154, featuring Thomas Pinder. In this conversation, Thomas shares what he sees as the next steps for GPJax and how the project could become easier to use beyond its origin

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Making Gaussian Processes Easier to Use

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