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Machine learning and. In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. Feature selection techniques are used for three reasons:
Font selection is only part of successfully using fonts in your artwork. When working with fonts, take four important design aspects into consideration; size, placement, color, and angle. Try mixing up the size and placement of the text, move it around using the Design Lab to find something dynamic.