Offers an exhaustive review of the state-of-the-art wireless methods that are specifically designed to support Machine Learning (ML) services over distributed datasets. A comprehensive introduction to analog over-the-air computation and digital radio resource management optimized for ML is presented, and reviews are given of important works.