I have a small question, for both linearly separable data and non linearly separable data, 1) --> Does sklearn's SVC() internally solves only dual problem or the primal problem(incase of linearly separable data) ?
i understand your concept but still i didn,t get completely. so i have one example that how to solve. Ex:ample: Let x and y be two vectors. The two vectors are transformed into a high-dimensional space using a kernel function defined below. Compute K(x,y) in order to fill the values for a and b. ϕ(z)=(1,√2z1, √2z2, z1^2, z2^2, √2z1z2) K(x,y)=
K(x,y)=(a+(x.y))^b then what is the value of a=?, b=?
@@LearningMonkey Actually the notation is a bit confusing. As per the table in this video, x_i, x_j would be cross-product of columns but a and b are cross-product of rows..how is that possible?
Awesome Explanation Sir , the way you dive deeper in the crux of concepts is Amazing :)
Best ML playlist
system approach to concept, that makes you unique, ji
AMAZINGGGGGG Explaination :D Thank You :D
great work...
Thankyou
I have a small question,
for both linearly separable data and non linearly separable data,
1) --> Does sklearn's SVC() internally solves only dual problem or the primal problem(incase of linearly separable data) ?
Here it is solving using gradient descent.
Dual form equation Is used
@@LearningMonkey thankyou sir..
hi sir thanks for this video
Thanks for the feedback.
❤️❤️
Nice
thank you very much your explanation is amazing
can you give me the resource if you have up till now
Sir, please make the videos on polynomial kernel and RBF kernel.
Hi kapil
Present we are doing deep learning.
After completion of deep learning we do that.
Have a great learning
i understand your concept but still i didn,t get completely. so i have one example that how to solve.
Ex:ample: Let x and y be two vectors. The two vectors are transformed into a high-dimensional space using a kernel function defined below. Compute K(x,y) in order to fill the values for a and b.
ϕ(z)=(1,√2z1, √2z2, z1^2, z2^2, √2z1z2)
K(x,y)=
K(x,y)=(a+(x.y))^b
then what is the value of a=?, b=?
Hi milan
You can take a, b different values and try it as hyperparameter
@@LearningMonkey ohk Sir Thank you very much.
sir, waiting for your polynomial kernel and RBF kernel. can you please upload it...thanks
We are dng our best. It takes time to complete remaining
@@LearningMonkey, thanks for the confirmation, really appreciate the way you are teaching...hats off to you
Have a great learning
how to get alphaz????? I'm not getting one thing How kernel helping in getting alphas??????
Alphas are identified when we solve the optimization problem.
Check karush khuntuker example video.
U will get idea
@@LearningMonkey ok, thanks for your hard work : )
What is xsubj in optimisation problem sir
Input data row.
It's explained in previous videos.
@@LearningMonkey Actually the notation is a bit confusing. As per the table in this video, x_i, x_j would be cross-product of columns but a and b are cross-product of rows..how is that possible?
Transformed data space belongs to R^3 here but ends up in R^2 space.Hence computationally less expensive!