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Sports and data science - syndicated from MIT Press journal Harvard Data Science Review

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Manage episode 304511400 series 2448427
Innhold levert av The MIT Press. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av The MIT Press eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

How are sports teams using data science?

This episode is syndicated from the new Harvard Data Science Review Podcast. Published by the MIT Press, Harvard Data Science Review is an open access multidisciplinary journal that defines and shapes data science as a scientifically rigorous field based on the principled and purposed production, processing, parsing and analysis of data.

In this episode, the journal’s Features Editor Liberty Vittert and Editor in Chief Xiao-Li Meng dig into the data behind sports with two experts: Brian Macdonald, sports analytics at Yale (formerly Carnegie Mellon University) and Kirk Goldsberry, NBA analyst at ESPN and author of Sprawlball: A Visual Tour of the New era of the NBA.

If you enjoy this preview of the Harvard Data Science Review podcast, find the journal on twitter at @TheHDSR and remember to subscribe to their podcast on your favorite platform.

  continue reading

100 episoder

Artwork
iconDel
 

Arkivert serier ("Inaktiv feed" status)

When? This feed was archived on September 02, 2022 14:46 (1+ y ago). Last successful fetch was on October 13, 2021 15:32 (2+ y ago)

Why? Inaktiv feed status. Våre servere kunne ikke hente en gyldig podcast feed for en vedvarende periode.

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 304511400 series 2448427
Innhold levert av The MIT Press. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av The MIT Press eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

How are sports teams using data science?

This episode is syndicated from the new Harvard Data Science Review Podcast. Published by the MIT Press, Harvard Data Science Review is an open access multidisciplinary journal that defines and shapes data science as a scientifically rigorous field based on the principled and purposed production, processing, parsing and analysis of data.

In this episode, the journal’s Features Editor Liberty Vittert and Editor in Chief Xiao-Li Meng dig into the data behind sports with two experts: Brian Macdonald, sports analytics at Yale (formerly Carnegie Mellon University) and Kirk Goldsberry, NBA analyst at ESPN and author of Sprawlball: A Visual Tour of the New era of the NBA.

If you enjoy this preview of the Harvard Data Science Review podcast, find the journal on twitter at @TheHDSR and remember to subscribe to their podcast on your favorite platform.

  continue reading

100 episoder

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