From Wall Street to expertise development: Predicting the rise and demise of talent investment by using machine learning to identify 'game changers'

Gavin Lawrence; Benjamin Jones; Lewis Hardy

doi:10.1123/jsep.2018-0169

From Wall Street to expertise development: Predicting the rise and demise of talent investment by using machine learning to identify 'game changers'

Gavin Lawrence
, Benjamin Jones
, Lewis Hardy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

169 Downloads (Pure)

Original language	English
Title of host publication	Journal of Sport and Exercise Psychology
Subtitle of host publication	SUPPLEMENT: North American Society for the Psychology of Sport and Physical Activity
Pages	S30
Volume	40
Edition	s1
DOIs	https://doi.org/10.1123/jsep.2018-0169
Publication status	Published - 31 Aug 2018

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10.1123/jsep.2018-0169

Authors accepted manuscriptAccepted author manuscript, 275 KB

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Lawrence, G., Jones, B., & Hardy, L. (2018). From Wall Street to expertise development: Predicting the rise and demise of talent investment by using machine learning to identify 'game changers'. In Journal of Sport and Exercise Psychology: SUPPLEMENT: North American Society for the Psychology of Sport and Physical Activity (s1 ed., Vol. 40, pp. S30) https://doi.org/10.1123/jsep.2018-0169

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Lawrence, G, Jones, B & Hardy, L 2018, From Wall Street to expertise development: Predicting the rise and demise of talent investment by using machine learning to identify 'game changers'. in Journal of Sport and Exercise Psychology: SUPPLEMENT: North American Society for the Psychology of Sport and Physical Activity. s1 edn, vol. 40, pp. S30. https://doi.org/10.1123/jsep.2018-0169

From Wall Street to expertise development: Predicting the rise and demise of talent investment by using machine learning to identify 'game changers'. / Lawrence, Gavin; Jones, Benjamin; Hardy, Lewis.
Journal of Sport and Exercise Psychology: SUPPLEMENT: North American Society for the Psychology of Sport and Physical Activity. Vol. 40 s1. ed. 2018. p. S30.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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