The Role of Machine Learning in Predictive and Causal Inference

Many machine learning methods can be formulated as complex but flexible statistical models. A common and important use of the models is to generate accurate predictions from a large set of covariates. When prediction is the goal, machine learning methods can learn prediction rules that involve interactions, nonlinearities, and other characteristics of the prediction function that would be difficult to know in advance.

Duration: < 1 hour

Advanced

Free