tgoop.com/AspiringDataScience/2652
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#timeseries
Отличный список, подписываюсь под почти каждым пунктом.
Red Flag #1: “Transformers worked in NLP and vision, so of course they’ll work for time series”
Red Flag #2: Confusing accuracy with business value
Red Flag #3: Believing more data automatically improves forecasts
Red Flag #4: Not stress-testing for regime shifts
Red Flag #5: Ignoring forecast stability
Red Flag #6: Confusing forecasting with generic prediction
Red Flag #7: Treating forecasting as one-size-fits-all
Red Flag #8: Neglecting benchmarking against simple models
Red Flag #9: Underestimating data leakage in time series
Red Flag #10: Overconfidence in black-box models
Red Flag #11: Thinking forecasting is a solo sport
Red Flag #12: Ignoring the forecast horizon
Жирным выделил самые, на мой взгляд, важные.
https://valeman.medium.com/avoiding-forecasting-pitfalls-in-2025-12-red-flags-when-hiring-data-scientists-579fe25c01b3
BY Aspiring Data Science

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