I'm trying to understand when it's appropriate to use the Gaussian process. I know it's a non-parametric approach to regression and classification, but I'm not sure about the specific scenarios where it would be most effective.
5 answers
Stardust
Thu Dec 26 2024
Gaussian processes serve as a versatile tool in the realm of supervised learning.
Daniela
Thu Dec 26 2024
They can effectively handle both classification and regression tasks.
Giuseppe
Thu Dec 26 2024
For instance, in classification, Gaussian processes can be employed to recognize handwritten digits with high accuracy.
CryptoQueenGuard
Thu Dec 26 2024
On the other hand, regression problems can also be tackled using Gaussian processes. An illustrative example would be learning the inverse dynamics of a robot arm.
CryptoGladiator
Wed Dec 25 2024
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