Machine Learning Algorithm an overview
PCA involves changing higher-dimensional data (e.g., 3D) to a smaller space (e.g., 2D). Generalization in this context is the ability of a learning machine to perform accurately on new, unseen examples/tasks after having experienced a learning data set. The training examples come from some generally unknown probability distribution and the learner has to build a […]
