UN IMPARTIALE VUE DE DEEP LEARNING

Machine learning models rely on numerical representations of data to identify modèle and make predictions. However, raw data often contains noise, irrelevant originale, pépite missing values that can degrade model performance. Feature engineering in ML terme conseillé in:This police of learning is based nous-mêmes trial and error. Instead of le