316 – Machine Learning for Understanding Motor Learning episode artwork

EPISODE · Aug 18, 2020 · 15 MIN

316 – Machine Learning for Understanding Motor Learning

from The Perception & Action Podcast · host Rob Gray

A look at research examining how machine learning techniques can be used to further our understanding of motor learning, investigating questions related to talent development, the structure of practice, the level of tactical proficiency, and recovery from practice.   Articles: Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton The Identification of "Game Changers" in England Cricket's Developmental Pathway for Elite Spin Bowling: A Machine Learning Approach It Ain't What You Do—It's the Way That You Do It: Is Optimizing Challenge Key in the Development of Super-Elite Batsmen? Machine learning approach to model sport training   More information: http://perceptionaction.com/ My Research Gate Page (pdfs of my articles) My ASU Web page Podcast Facebook page (videos, pics, etc)   Subscribe in iOS/Apple Subscribe in Anroid/Google   Support the podcast and receive bonus content   Credits: The Flamin' Groovies - Shake Some Action Mark Lanegan - Saint Louis Elegy via freemusicarchive.org and jamendo.com

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316 – Machine Learning for Understanding Motor Learning

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This episode was published on August 18, 2020.

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A look at research examining how machine learning techniques can be used to further our understanding of motor learning, investigating questions related to talent development, the structure of practice, the level of tactical proficiency, and...

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