the.com/preprocessing
the unglamorous scrubbing your data needs before it's allowed near a model.
means cleaning, transforming, and organizing raw data into a usable format before feeding it into an algorithm.
from emerged with early computing pipelines, where punch-card data had to be validated and formatted before batch processing could even begin.
time costoften eats 60-80% of a data scientist's time
garbage inskip it and your model just learns noise
includesdeduping, normalizing, filling gaps, encoding text
unsexy truthmost of ai is really just plumbing