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790: Open-Source Libraries for Data Science at the New York R Conference

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Content provided by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
The experts reveal their top open-source R libraries with us live from the New York R Conference! This Super Data Science Podcast episode features an exclusive panel with data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long. They share their favorite R libraries and valuable insights to enhance your data science practice. Additional materials: www.superdatascience.com/790 Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
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799 episodes

Artwork
iconShare
 
Manage episode 422386382 series 2532807
Content provided by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Super Data Science: ML & AI Podcast with Jon Krohn and Jon Krohn or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
The experts reveal their top open-source R libraries with us live from the New York R Conference! This Super Data Science Podcast episode features an exclusive panel with data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long. They share their favorite R libraries and valuable insights to enhance your data science practice. Additional materials: www.superdatascience.com/790 Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.
  continue reading

799 episodes

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