The Kernel Trick - THE MATH YOU SHOULD KNOW!
Some parametric methods, like polynomial regression and Support Vector Machines stand out as being very versatile. This is due to a concept called "Kernelization".
In this video, we are going to kernelize linear regression. And show how they can be incorporated in other Algorithms to solve complex problems.
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REFERENCES
[1] The Kernel Trick: https://people.eecs.berkeley.edu/~jordan/courses/281B-spring04/lectures/lec3.pdf
[2] Positive Definite Kernels: https://en.wikipedia.org/wiki/Positive-definite_kernel
Видео The Kernel Trick - THE MATH YOU SHOULD KNOW! канала CodeEmporium
In this video, we are going to kernelize linear regression. And show how they can be incorporated in other Algorithms to solve complex problems.
If you like this video, hit that like button. If you’re new here, hit that SUBSCRIBE button and ring that bell for notifications!
FOLLOW ME
Quora: https://www.quora.com/profile/Ajay-Halthor
REFERENCES
[1] The Kernel Trick: https://people.eecs.berkeley.edu/~jordan/courses/281B-spring04/lectures/lec3.pdf
[2] Positive Definite Kernels: https://en.wikipedia.org/wiki/Positive-definite_kernel
Видео The Kernel Trick - THE MATH YOU SHOULD KNOW! канала CodeEmporium
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