Easy introduction to gaussian process regression (uncertainty models)

Gaussian process regression (GPR) is a probabilistic approach to making predictions. GPRs are easy to implement, flexible, and fully probabilistic models. Overall, they provide a powerful tool in many application areas.

In this video, we give an animated introduction to GPRs, focusing on the idea and main components.From this point, hopefully, you will be able to quickly dive into the theory and build your own GPR.'



GPR book:
http://www.gaussianprocess.org/gpml/c...

GP video:
   • ML Tutorial: Gaussian Processes (Rich...  

Adapting probability distribution:
http://www.math.chalmers.se/~rootzen/...



0:00 Intro Predictions
1:09 Idea of Gaussian process regression
1:33 Gaussian processes
2:32 Adapting the probability distribution
3:20 Putting it together



LinkedIn:   / nicolai-palm-97160b219  
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