3 ms·
So they are functionally doing the same thing, reducing the amount of data used. I find the debate about what we should call it useless and pointless. Underst
by naijaboiler 5y ago
So they are functionally doing the same thing, reducing the amount of data used. I find the debate about what we should call it useless and pointless.
Understand what it is, what it doing, what it s limitations are, and use it appropriately based on your needs. Done.
- platz 5y agoif you read the actual article, dimensionality reduction by PCA does not retain the most important information about the data
- bllguo 5y agoindeed, predictable and disappointing how the discussion devolved into pedantry. should have been obvious what the author meant (plus it is clarified at the very beginning of the article). I'm not sure if this is a ML practitioner vs. statisticians thing or what