Data augmentation Data augmentation is been used in deep learning for many reasons. One of the reason is to reduce overfitting and makes the model more robust. Data augmentation can be done relatively easy in keras package in R.
UMAP Uniform manifold approximation and projection or in short UMAP is a type of dimension reduction techniques. So, basically UMAP will project a set of features into a smaller space.