고정된 트윗
New here: I’m logging daily progress on a stage-calibration sim (metrology × ML/robotics). Expect plots, mistakes, and mini-wins. Follow for the messy middle.
More dots = more data… but also more time ⏱️ A denser grid can reveal stage errors, but does 4× the data really mean 4× better calibration? Spoiler: not usually. I’ll simulate that soon 👇 Follow for more on #Python #MachineLearning #DataViz #Metrology
Tighter grids = more data. With more dots, subtle stage errors become clearer — you can see bias accumulate across the field:
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