_regularization-part-1-ridge-l2-regression-preview-1.jpg "Regularization Part 1: Ridge (L2) Regression from l1 regularization vs l2 regularization Video Screenshot Preview 1")
Gallery_regularization-part-1-ridge-l2-regression-preview-3.jpg "Regularization Part 1: Ridge (L2) Regression from l1 regularization vs l2 regularization Video Screenshot Preview 3")
Gallery_regularization-part-1-ridge-l2-regression-preview-hqdefault.jpg "Regularization Part 1: Ridge (L2) Regression from l1 regularization vs l2 regularization Video Screenshot Preview hqdefault")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
Jump To Video Parts
⏲ Duration: 20 minutes 27 seconds
👁 View: 514.4K times
Play Audio:👁 View: 514.4K times
Description:
StatQuest with Josh Starmer
StatQuest with Josh Starmer
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
Related Videos
_l1-and-l2-regularization.webp "CIS 522 - Deep Learning")
_machine-learning-tutorial-python-17-l1-and-l2-regularization-124-lasso-ridge-regression.webp "codebasics")
⏲ 19 minutes 21 seconds 👁 119.8K
_ridge-vs-lasso-regression-visualized.webp "StatQuest with Josh Starmer")
_l1-and-l2-regularization-in-machine-learning-easy-explanation-for-data-science-interviews.webp "Emma Ding")
⏲ 12 minutes 👁 3K
_regularization-part-2-lasso-l1-regression.webp "StatQuest with Josh Starmer")
_regularization-in-a-neural-network-124-dealing-with-overfitting.webp "AssemblyAI")
_l1-and-l2-regularization.jpg)
_machine-learning-tutorial-python-17-l1-and-l2-regularization-124-lasso-ridge-regression.jpg)
_ridge-vs-lasso-regression-visualized.jpg)
_l1-and-l2-regularization-in-machine-learning-easy-explanation-for-data-science-interviews.jpg)
_regularization-part-2-lasso-l1-regression.jpg)
_regularization-in-a-neural-network-124-dealing-with-overfitting.jpg)
![[+]](/images/menu.gif){kind=small}