Manifold Learning Python

This article introduces the concept of Manifold Learning. A large number of machine learning datasets involve thousands and sometimes millions of features. These features can make training very slow. In addition, there is plenty of space in high dimensions making the high-dimensional datasets very sparse, as most of the training instances are quite likely to be far from each other. This increases the risk of overfitting since the predictions will be based on much larger extrapolations as compared to those on low-dimensional data.