Factor Investing, Dimensionality Reduction, Sklearn, Python.
objects that can be thought of as smooth, curved surfaces embedded in a higher-dimensional space. In the context of machine learning, a manifold can represent the underlying structure or shape of the data, capturing the essential characteristics of the data distribution. Manifold learning