[null,null,["上次更新時間：2025-01-03 (世界標準時間)。"],[[["Models ingest data through floating-point arrays called feature vectors, which are derived from dataset features."],["Feature vectors often utilize processed or transformed values instead of raw dataset values to enhance model learning."],["Feature engineering is the crucial process of converting raw data into suitable representations for the model, encompassing techniques like normalization and binning."],["Non-numerical data like strings must be converted into numerical values for use in feature vectors, a key aspect of feature engineering."]]],[]]
