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2
questions
2
votes
0
answers
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Is kernalized linear regression parametric or nonparametric?
We know that for linear regression, we can predict:
$$\hat{y} = w^Tx +b$$
Where $w$ is the parameter that minimizes the square loss.
It is easy to prove that for the final solution using gradient ...
- 21
10
votes
1
answer
9k
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Why KNN and SVM with a gaussian are non-parametric models?
I was told that these two are non-parametric models. But I can't figure out why, especially for KNN.
Could anyone answer my questions?
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