Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences

Gaussian Processes vs Kernel Methods: Two Paths, Same Math

Think of two teams solving the same puzzle but with different tools.
One uses ideas from probability, the other from functions, yet often they reach the very same result — it's surprising and neat.
This short, friendly take shows how Gaussian processes and kernel methods are really two ways to look at the same piece of math, and why that matters for real problems.
Researchers from different camps built things separately, so important results were hidden across fields, now they can be shared.
The review pulls old and new ideas together so you can see the links, it's written to make the big picture clear.
You’ll get why both approaches can give the same math answer, while keeping their own style.
This helps people pick the right tool, faster.
It also acts like a small bridge between two communities — making future discoveries easier to find, and a lot more useful for everyone.

Read article comprehensive review in Paperium.net:
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences

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