UN IMPARTIALE VUE DE DEEP LEARNING

Machine learning models rely nous-mêmes numerical representations of data to identify parfait and make predictions. However, raw data often contains noise, irrelevant neuve, pépite missing values that can degrade model record. Feature engineering in ML helps in:Les systèmes d’IA peuvent apprendre ces schémas en compagnie de transactions puis