Non-parametric Models — A Flexible Learning Approach That Expands in Complexity with the Data Without Assuming a Distribution

Non-parametric Models are a learning approach that does not assume a predefined data distribution or fixed functional form, and whose expressive capacity can grow as more data becomes available. Here, “non-parametric” does not mean the model has no parameters at all; rather, it means the model is not constrained to a small, fixed set of parameters from the outset.

04/04/2026