Assignment Solutions of Bayesian Methods for Machine Learning Coursera
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Updated
May 16, 2020 - Jupyter Notebook
Assignment Solutions of Bayesian Methods for Machine Learning Coursera
Robust Gaussian Process with Iterative Trimming
The Pycom onboarding blueprint for the 1NCE IoT Connectivity Suite enables a PySense, in combination with GPy, to communicate with the AWS IoT Core. This enables the functionality to subscribe and publish messages on the IoT Core, by making use of the SIM (IoT Device) specific certificates and keys.
Applications using Gaussian process (python)
Group project for my CST Part III Machine Learning and the Physical World (L48) module
Dynamic causal Bayesian optimisation
A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system
Explore selected topics related to Gaussian processes
A functional advanced Guilded Bot template for guilded.py with examples and tutorials
Add a description, image, and links to the gpy topic page so that developers can more easily learn about it.
To associate your repository with the gpy topic, visit your repo's landing page and select "manage topics."