Reduce the number of variables or features for a dataset in machine learning algorithms through methods such as principal component analysis, matrix factorization, autoencoder methods, and others.
DATA SOURCED FROM ESCO (EUROPEAN COMMISSION) & O*NET (U.S. DEPARTMENT OF LABOR)