Machine learning has enabled several advances for acceleration of MRI sequences along with the automated analysis of arbitrarily reconstructed images. This first portion of this lecture will focus on summarizing the major families of machine learning techniques applied towards undersampled image reconstruction tasks as well as the automation of classification, segmentation, and detection tasks. Since machine learning advances are strongly coupled to publicly available datasets, the second portion of this lecture will compare and contrast current public MRI data repositories relevant for musculoskeletal MRI.