Types of Learning
Features and the numeric/categorical divide, the positive class, and the four learning paradigms — supervised, unsupervised, semi-supervised, and self-supervised — separated by what your data actually contains.
Learning representations from data itself by masking or predicting parts of the input.
View all tagsFeatures and the numeric/categorical divide, the positive class, and the four learning paradigms — supervised, unsupervised, semi-supervised, and self-supervised — separated by what your data actually contains.