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QUALITATIVE 🤔💭 insights might need to be “improvised” - they are ESSENTIAL though!
Dr Derek McHugh wants you to understand that data sets in sports are NEVER complete, and thus you are ALWAYS missing stuff. This acknowledgement might appear BASIC to you, but it opens up a variety of flexibility to be more “free” ✅❌ of blindly just believeing the data.
In the 142nd episode of The Training Science Podcast, Martin & Derek discuss:
🗃️ Organising, designing & cross-linking a SOLID athlete data base;
🤓☝️ How to make sure that even DESPITE incomplete data sets you can gain INSIGHTS;
🚀 Machine learning, AI and big data IN SPORTS
_____________________
Today’s speakers:
Prof. Paul Laursen https://www.paullaursen.com/
Dr. Derek McHugh https://www.linkedin.com/in/derekmchugh/
_____________________ 1
By Paul Laursen & Martin Buchheit4.7
1010 ratings
QUALITATIVE 🤔💭 insights might need to be “improvised” - they are ESSENTIAL though!
Dr Derek McHugh wants you to understand that data sets in sports are NEVER complete, and thus you are ALWAYS missing stuff. This acknowledgement might appear BASIC to you, but it opens up a variety of flexibility to be more “free” ✅❌ of blindly just believeing the data.
In the 142nd episode of The Training Science Podcast, Martin & Derek discuss:
🗃️ Organising, designing & cross-linking a SOLID athlete data base;
🤓☝️ How to make sure that even DESPITE incomplete data sets you can gain INSIGHTS;
🚀 Machine learning, AI and big data IN SPORTS
_____________________
Today’s speakers:
Prof. Paul Laursen https://www.paullaursen.com/
Dr. Derek McHugh https://www.linkedin.com/in/derekmchugh/
_____________________ 1

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