btw, if it doesn't bother you, may i ask what the source of this video, like a book or anything that you can recommend to understand math behind machine learning better, thank you!
Thank you for your kind words. Indeed, I have recently uploaded a new video that delves into the use of Polynomial and RBF Kernels in SVM for addressing linearly non-separable cases. You're welcome to view it at this link: ruclips.net/video/DjjE-ubDOos/видео.html
thank you for the explanation, you really helped me a lot
btw, if it doesn't bother you, may i ask what the source of this video, like a book or anything that you can recommend to understand math behind machine learning better, thank you!
Thank You
Very good explanation. Thank you
You're most welcome.
Thank you so much ! amazing video
could you also explain how to solve it using kernel trick
Thank you for your kind words. Indeed, I have recently uploaded a new video that delves into the use of Polynomial and RBF Kernels in SVM for addressing linearly non-separable cases. You're welcome to view it at this link: ruclips.net/video/DjjE-ubDOos/видео.html