Principal component analysis (PCA)

Principal component analysis (PCA)

Technique used to find the most valuable parts of all of the variables in a dataset and to then transform the original variables into a smaller set of linear combinations.

Edit ID  10240813 

Daniel Frumkin
Daniel Frumkin edited on 16 March, 2019 3:37 pm
Edits made to:
Documentaries, videos and podcasts (+1 rows) (+3 cells) (+96 characters)

Documentaries, videos and podcasts

Title
Date
Link

Lecture 15 | Machine Learning (Stanford)

July 22, 2008

Golden logo
Text is available under the Creative Commons Attribution-ShareAlike 4.0; additional terms apply. By using this site, you agree to our Terms & Conditions.