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Learning to Run Marathons: On the Applications of Machine Learning to Recreational Marathon Running

  • Barry Smyth,
  • Ciara Feely,
  • Jakim Berndsen,
  • Brian Caulfield,
  • Aonghus Lawlor

摘要

The widespread adoption of mobile devices and wearable sensors has created an explosion of exercise-related data. In this chapter we consider how these data can be used to support individuals as they train and compete, focusing in particular on recreational marathon runners. We discuss why the marathon is an interesting data science application domain, and we present several case studies to demonstrate how ideas from machine learning and recommender systems can be used to help marathon runners.