Submitted by olmec-akeru t3_z6p4yv in MachineLearning
olmec-akeru OP t1_iy362iv wrote
Reply to comment by imyourzer0 in [D] What method is state of the art dimensionality reduction by olmec-akeru
Cool, I get this—but I think its important not to keep ones head in the sand. There are new techniques and its important to grok them.
Alert_Albatross9145 t1_iy3pw2i wrote
Two valid points, appreciate the discussion!
imyourzer0 t1_iy5unj3 wrote
I certainly wouldn’t advise anyone to ignore new methods. That’s a point well taken. I’m only saying that when you have a working method, and its assumptions about your data can be validated (either logically or with tests), you don’t need to start looking for SOTA methods.
Really, the goal is solving a problem, and to do that, you want to find the most appropriate method—not just the newest method. It’s one thing to “keep up with the Joneses” so that when problems arise you know as many of the available tools as possible, but picking an algorithm usually doesn’t depend on whether that algorithm is new.
olmec-akeru OP t1_iy7apiy wrote
Beautifully said.
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