thanks MANY TIMES OVER. can I consult with you? I"m curious, if I can work the problem of GLM modeling to the point of transforming "Y" to u, subsequently performing a low pass filter to remove gaussian noise, and then use a standard method to fit my betas? It seems that most implementations are using a gradient descent to optimize "beta' to fit Y. Obviously I will pay what is required for consultation,
I am happy to hear that you found this video helpful! I will be adding more to this GLM playlist soon, and I hope that you may find some of those to be helpful for this question. Right now, due to time constraints, I am not doing any private consulting. Again, I hope that future videos in this playlist may be helpful, and if you have any questions from that content, please always feel encouraged to post :-D
thanks MANY TIMES OVER. can I consult with you? I"m curious, if I can work the problem of GLM modeling to the point of transforming "Y" to u, subsequently performing a low pass filter to remove gaussian noise, and then use a standard method to fit my betas? It seems that most implementations are using a gradient descent to optimize "beta' to fit Y. Obviously I will pay what is required for consultation,
I am happy to hear that you found this video helpful! I will be adding more to this GLM playlist soon, and I hope that you may find some of those to be helpful for this question. Right now, due to time constraints, I am not doing any private consulting. Again, I hope that future videos in this playlist may be helpful, and if you have any questions from that content, please always feel encouraged to post :-D