3 ms·
In a ML context kernel would probably be understood as a way to quantify similarity between different examples: https://en.m.wikipedia.org/wiki/Kernel_method ht
by blackbear_ 3y ago
In a ML context kernel would probably be understood as a way to quantify similarity between different examples: https://en.m.wikipedia.org/wiki/Kernel_method https://en.m.wikipedia.org/wiki/Kernel_method
But it was hilarious to see how many other "normal" meanings came up in the comments.
- tnecniv 3y agoNormal is just the first one you learn. Hell, in math, normal even has multiple meanings. You have the normal distribution and surface normals for example