Save 20% off my machine learning online courses using code UA-cam ⬇ The BEST place for you to start is with my "Intro to Machine Learning" online course: bit.ly/TDWIIntroToML COMING SOON - Cluster Analysis with Python
When you have a meeting starting any moment and David drops a new video... Will be playing on the Bluetooth headset now and watching it later. #ForTheAlgorithm
Hello David, thanks for the helpful video! I watched the whole lecture and it gave me good confidence on my code as well. I want to ask you I actually work with gauussian process regression with the RBF kernel. And my reference book is by C. E. Rasmussen & C. K. I. Williams which is a very nice book, but since I'm starting to use python I have some difficulity in understanding their algorithm in estimating the hyperparameters. So my question to you is how do I write the code if I have a noisy observed data like 200 and want to predict at 50 points how do i write the code to estimate my three hyperparameters. should i write the code in algorithm or in python code, i have everything i just got stuck there your help is a lot to me, thank you very much!
Save 20% off my machine learning online courses using code UA-cam ⬇
The BEST place for you to start is with my "Intro to Machine Learning" online course:
bit.ly/TDWIIntroToML
COMING SOON - Cluster Analysis with Python
by far the best teacher on youtube.
Whoa! That's a huge compliment. Thank you. These words are much appreciated.
@@DaveOnData no, thank you for all the good content. it's hard to find good teachers through all of the saturation
When you have a meeting starting any moment and David drops a new video...
Will be playing on the Bluetooth headset now and watching it later.
#ForTheAlgorithm
Woohoo! The support, as always, is greatly appreciated. The algo does love watch time. 🤣
Hello David, thanks for the helpful video! I watched the whole lecture and it gave me good confidence on my code as well. I want to ask you I actually work with gauussian process regression with the RBF kernel. And my reference book is by C. E. Rasmussen & C. K. I. Williams which is a very nice book, but since I'm starting to use python I have some difficulity in understanding their algorithm in estimating the hyperparameters. So my question to you is how do I write the code if I have a noisy observed data like 200 and want to predict at 50 points how do i write the code to estimate my three hyperparameters. should i write the code in algorithm or in python code, i have everything i just got stuck there your help is a lot to me, thank you very much!