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Reprint of the original, first published in 1876.
Identifying athletic talent and developing that talent to its full potential is a central concern in sport. Understanding talent identification and its implications for both positive and negative developmental outcomes is crucial to sporting success. This is the first comprehensive resource for scientists, researchers, students, coaches, analysts and policymakers looking to improve their knowledge of the talent identification and development process. With contributions from leading researchers and practitioners, this book offers a complete overview of contemporary talent identification and development from in-depth discussion of methodological and philosophical issues through to practical ap...
This covers the PACSS 2021 which approached interdisciplinary collaboration between theoretical computer science and practical performance analysis though an online workshop and conference. Readers find in this book the peer-reviewed and discussed evidences on how computer scientists and performance analysts can and have worked together to solve both applied and research-based problems in elite sport, using the methods of computer science. In this edition, we organize the content according to four major topics: machine learning, text mining, best practice and interdisciplinary collaboration. This is a refined material written by leading experts with up-to-date overview of research in the multidisciplinary field of computer science and elite sport performance analysis.
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