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Contenu fourni par Quincy Larson. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Quincy Larson ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
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#135 Where Data Science meets Sports Analytics with Golfer Turned Engineer Ken Jee

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Manage episode 432117330 series 1761529
Contenu fourni par Quincy Larson. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Quincy Larson ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Ken Jee. Ken's a Data Scientist. He's also a Sports Analytics practitioner who works with US Team Golf and USA Basketball.

Ken hosts the excellent Ken's Nearest Neighbors podcast and the Exponential Athelete podcast.

We talk about:

- How an injury pushed Ken out of pro sports and into data science

- How Ken explains his statistical insights to coaches and players to help them improve their performance

- Why Ken doesn't think building projects is all that useful anymore. "Data Scientists should instead build products."

- How Ken starts and ends each day with meditation, and writes down all the ideas that pop into his head after each session.

- Ken's observation that: "Who is the best suited to excel in a world where AI tools are prominent? Probably the people who are building them. People in the data science domain, people who are coding – they're the most prepared to use these tools for other things."

Can you guess what song I'm playing on my bass during the intro? It's from a 2006 dance song, and it was originally played on a synth.

Also, I want to thank the 10,109 kind people who support our charity each month, and who make this podcast possible. You can join them and support our mission at: https://www.freecodecamp.org/donate

Links we talk about during our conversation:

Ken's Nearest Neighbors Podcast: https://www.youtube.com/channel/UCpEJMMRoTIHJ8vG8q_EwqCg

The Exponential Athelete Podcast, also hosted by Ken: https://www.youtube.com/playlist?list=PLAkSd12rP282takuFJKsAsYlHdpdEDhuE

The Founders podcast, which both Ken and Quincy listen to. James Dyson episode: https://www.founderspodcast.com/episodes/88384801/senra-james-dyson-against-the-odds-an-autobiography

Anna Wintour episode: https://www.founderspodcast.com/episodes/58741411/senra-326-anna-wintour

San Antonio caves that Quincy visited: https://naturalbridgecaverns.com/

  continue reading

142 episodes

Artwork
iconPartager
 
Manage episode 432117330 series 1761529
Contenu fourni par Quincy Larson. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Quincy Larson ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Ken Jee. Ken's a Data Scientist. He's also a Sports Analytics practitioner who works with US Team Golf and USA Basketball.

Ken hosts the excellent Ken's Nearest Neighbors podcast and the Exponential Athelete podcast.

We talk about:

- How an injury pushed Ken out of pro sports and into data science

- How Ken explains his statistical insights to coaches and players to help them improve their performance

- Why Ken doesn't think building projects is all that useful anymore. "Data Scientists should instead build products."

- How Ken starts and ends each day with meditation, and writes down all the ideas that pop into his head after each session.

- Ken's observation that: "Who is the best suited to excel in a world where AI tools are prominent? Probably the people who are building them. People in the data science domain, people who are coding – they're the most prepared to use these tools for other things."

Can you guess what song I'm playing on my bass during the intro? It's from a 2006 dance song, and it was originally played on a synth.

Also, I want to thank the 10,109 kind people who support our charity each month, and who make this podcast possible. You can join them and support our mission at: https://www.freecodecamp.org/donate

Links we talk about during our conversation:

Ken's Nearest Neighbors Podcast: https://www.youtube.com/channel/UCpEJMMRoTIHJ8vG8q_EwqCg

The Exponential Athelete Podcast, also hosted by Ken: https://www.youtube.com/playlist?list=PLAkSd12rP282takuFJKsAsYlHdpdEDhuE

The Founders podcast, which both Ken and Quincy listen to. James Dyson episode: https://www.founderspodcast.com/episodes/88384801/senra-james-dyson-against-the-odds-an-autobiography

Anna Wintour episode: https://www.founderspodcast.com/episodes/58741411/senra-326-anna-wintour

San Antonio caves that Quincy visited: https://naturalbridgecaverns.com/

  continue reading

142 episodes

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