FAIR Video Case Study: Haiping Lu - PyKale - Accessible machine learning from multiple sources for interdisciplinary research

<p> </p> <p>A video case study in which Dr Haiping Lu discusses his application of the FAIR data and software principles to his research on accessible and sustainable machine learning.</p> <p>FAIR refers to the principles applied to make research data and software findable, accessible, interoperable and reusable.</p> <p>Filmed and produced by Sort Of... Films in May-July 2022. Interview conducted by Jenni Adams (University of Sheffield Library)</p> <p>The file UoS_FAIR_Haiping_Lu_FINALCUT contains the video itself, while  the file UoS_FAIR_Haiping_Lu_FINALCUT.mp4.srt contains the subtitles.  </p>