Estimating Carb & Calorie Burn and Machine Learning for Talent Prediction
Manage episode 460382815 series 3556407
This week’s episode saw multiple listener questions answered including a discussion on prediction of caloric and carbohydrate burn from training data. There’s some quick fire talking points including the new TGL golf league, a women’s 5K world record and Netflix’s content strategy in sport. We then touch on the use of machine learning for talent prediction in football. Finally we look at injury and illness rates for the USA Olympic and Paralympic teams from the Tokyo games.
(00:00) Introduction
(03:41) David’s Update and Training
(06:23) Xylon’s Update
(17:30) Community Shoutouts
(33:30) Listener Question - Training on Tired Legs
(36:10) Listener Question - Heart Rate’s Relationship to Calories
(41:10) Predicting Carbohydrate and Caloric Burn
(46:50) Netflix Secures Women’s Football World Cup
(48:32) TGL Golf League
(51:08) Women’s 5K World Record Broken
(51:44) Ilona Maher Debuts for the Bristol Bears
(54:04) The Coaching Roundabout
(60:38) Machine Learning Prediction of Football Talent Selection
(64:20) Doctor’s Office - USA Tokyo Olympic & Paralympic Team Illness and Injuries
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David’s Newsletter Article on Calories
Article on New Golf League
Article on Machine Learning and Youth Football Academy Success Prediction
https://www.tandfonline.com/doi/full/10.1080/02640414.2024.2442850
Article on Predicting Carbohydrate & Energy Expenditure
https://link.springer.com/article/10.1007/s40279-024-02131-z
Article on Injury & Illness at Tokyo Olympics from the USA
https://journals.sagepub.com/doi/10.1177/23259671241304417
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