2 Matching Annotations
  1. Aug 2025
    1. Unlike shallow learning methods that required humans to carefully engineer features, deep learning networks can automatically discover useful features directly from raw data

      difference between shallow and deep learning lied in teh amount o fdata. the shallow learning methods rely on humans to state what features to "notice"?

    2. Third, we discovered an inherent tension between precision (being right when we make a prediction) and recall (catching all the cases we should find), forcing designers to make explicit trade-offs based on their application’s needs.

      how are designers implementing precision versus recall?