# Tutorials¶

Below we provide some introductory tutorials to give you an idea of what Effective Quadratures can do. The tutorials are organized by complexity, so if you are new to the notion of *supervised learning through polynomials*, consider starting from the first tutorial.

- Defining a parameter
- Generating univariate quadrature rules
- Constructing orthogonal polynomials
- Computing moments
- Multi-index sets
- Polynomial regression
- Bayesian polynomial regression
- Sparse and tensor grid quadrature rules
- Computing Sobol’ (sensitivity) indices
- Active subspaces with polynomial approximations
- Polynomial variable projection
- Surrogate-based optimisation with polynomials