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Sisällön tarjoaa MIT Sloan Management Review. MIT Sloan Management Review tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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Mapping Tom Brady's Brain

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Arkistoidut sarjat ("Toimeton syöte" status)

When? This feed was archived on January 13, 2024 12:08 (2M ago). Last successful fetch was on October 12, 2023 18:12 (6M ago)

Why? Toimeton syöte status. Palvelimemme eivät voineet hakea voimassa olevaa podcast-syötettä tietyltä ajanjaksolta.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 227737100 series 2456806
Sisällön tarjoaa MIT Sloan Management Review. MIT Sloan Management Review tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

It is incredibly difficult to judge individual talent in the NFL, because so much of a player's ability to succeed is based on context: his teammates and the system in which he operates. But the need to isolate performance is huge. Those who gain a reliable method will have a huge advantage. So where do you start? You start with the most valuable position on the field, the quarterback. Then, you isolate further on what appears to be the greatest differentiator between elite level quarterbacks: their minds. The ultimate goal: to understand how a quarterback processes information and to track the patterns their minds tend to follow. Or said another way: to map Tom Brady's brain. This is the quest of ESPN's Bryan Burke, who will be presenting this research on deep learning and quarterback decision-making at the 2019 Sloan Sports Analytics conference next week. He joined us for a preview of his work.

  continue reading

25 jaksoa

Artwork
iconJaa
 

Arkistoidut sarjat ("Toimeton syöte" status)

When? This feed was archived on January 13, 2024 12:08 (2M ago). Last successful fetch was on October 12, 2023 18:12 (6M ago)

Why? Toimeton syöte status. Palvelimemme eivät voineet hakea voimassa olevaa podcast-syötettä tietyltä ajanjaksolta.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 227737100 series 2456806
Sisällön tarjoaa MIT Sloan Management Review. MIT Sloan Management Review tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

It is incredibly difficult to judge individual talent in the NFL, because so much of a player's ability to succeed is based on context: his teammates and the system in which he operates. But the need to isolate performance is huge. Those who gain a reliable method will have a huge advantage. So where do you start? You start with the most valuable position on the field, the quarterback. Then, you isolate further on what appears to be the greatest differentiator between elite level quarterbacks: their minds. The ultimate goal: to understand how a quarterback processes information and to track the patterns their minds tend to follow. Or said another way: to map Tom Brady's brain. This is the quest of ESPN's Bryan Burke, who will be presenting this research on deep learning and quarterback decision-making at the 2019 Sloan Sports Analytics conference next week. He joined us for a preview of his work.

  continue reading

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