One of the preliminary steps in writing a good machine learning algorithm is to visualise the training data and almost always, datasets (especially after pre-processing) contain a lot of features, sometimes thousands. As we know, it is impossible for humans to visualise a mapping of 1000 dimensions. This is where dimensionality reduction algorithms such as t-SNE …
