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ML101 – pt. 09: Reducing our Data – the PCA Node

This week is all about Principal Component Analysis! Chris will show you what PCA does and how it works in Houdini. He will go over this very abstract Node with you in a Demo Scene and visualize all the Steps that will reduce our Dataset a whole lot to a more manageable Size without any noticeable Quality Loss.

Comments

According to the roadmap laid out at the beginning of pt07, there should be 12 in total. Also looking forward to seeing those!

Niall

Hi, just checking if this is the last lesson in the series or if we should expect some more lessons this February.

OLUSEYI EKANEM

Thanks for this content, the course is amazing! On a feedback note, I'd look into improving the audio quality if possible.

Alberto Hernandez Rodriguez

video does not work ... thanks

gizmo3d


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