# Gaussian Process - **Website:** - **Primary alias:** `gaussianprocess.org` ## Description Welcome to the Gaussian Process brand! Our website serves as a comprehensive resource hub dedicated to probabilistic modeling, inference, and learning through Gaussian processes. Whether you're a seasoned researcher or a newcomer to this field, we offer valuable insights and information to enhance your understanding. Explore our collection of recommended books, including titles like "Gaussian Processes for Machine Learning" by Carl Edward Rasmussen and Chris Williams, as well as software tools like gpml matlab toolbox, GPflow python/tensorflow package, and GPyTorch. These resources are designed to support your journey in mastering Gaussian processes and their applications. Additionally, dive into interactive visualizations of Gaussian processes to deepen your knowledge and engage with the subject matter in a dynamic way. Join us in exploring the fascinating world of Gaussian processes and unlock new possibilities in probabilistic modeling and inference. ## Industries - 🧪 Science and Education - 🧪 Math _(under Science and Education)_ ## Links - [github](https://github.com/cer54) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Mariner | #267cb9 | accent | | Mine Shaft | #393939 | dark | | Malibu | #73d3f8 | light | --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._