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A Visual Exploration of Gaussian Processes

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How to turn a collection of small building blocks into a versatile tool for solving regression problems. Jochen Görtler University of Konstanz Rebecca Kehlbeck University of Konstanz Oliver Deussen University of Konstanz April 2, 2019 10.23915/distill.00017 Even if you have spent some time reading about machine learning, chances are that you have never heard of Gaussian processes. And if you have, rehearsing the basics is always a good way to refresh your memory. With this blog post we want to give an introduction to Gaussian processes and make the mathematical intuition behind them more approachable. Gaussian processes are a powerful tool in the machine learning toolbox. They allow us to make predictions about our data by incorporating prior knowledge. Their most obvious area of application is fitting a function to the data. This is called regression and is used, for example, in robotics or time series forecasting. But Gaussian processes are not limited to regression — they can also b

A Visual Exploration of Gaussian Processes A Visual Exploration of Gaussian Processes Distill A Visual Exploration of Gaussian Processes How to turn a collection of small building blocks into a versatile tool for solving regression problems. Authors Affiliations Jochen Görtler University of Konstanz Rebecca Kehlbeck University of Konstanz Oliver Deussen University of Konstanz Published April 2, 2019 DOI 10.23915/distill.00017 Even if you have spent some time reading about machine learning, chances are that you have never heard of Gaussian processes. And if you have, rehearsing the basics is al

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