Submitted by olmec-akeru t3_z6p4yv in MachineLearning
imyourzer0 t1_iy5unj3 wrote
Reply to comment by olmec-akeru in [D] What method is state of the art dimensionality reduction by olmec-akeru
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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