The rapid adoption of wearable sensors means that massive amounts of data are being collected everyday from people as they exercise. There is an opportunity to use this data with machine learning and recommender systems to help people exercise more effectively. This thesis harnesses such data from 400,000 Strava users as they train for and compete in marathons to provide three beneficial supports: marathon performance prediction, injury risk assessment, and personalised training recommendations.