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Accelerated data science with a Kaggle grandmaster episode artwork

Apr 4, 2023 43 min

Accelerated data science with a Kaggle grandmaster

from Practical AI Hosted by Daniel Whitenack and Chris Benson

Daniel and Chris explore the intersection of Kaggle and real-world data science in this illuminating conversation with Christof Henkel, Senior Deep Learning Data Scientist at NVIDIA and Kaggle Grandmaster. Christof offers a very lucid explanation into how participation in Kaggle can positively impact a data scientist’s skill and career aspirations. He also shared some of his insights and approach to maximizing AI productivity uses GPU-accelerated tools like RAPIDS and DALI. Sponsors: Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. Let’s do this! Featuring: Christof Henkel – GitHub, LinkedIn, X Chris Benson – Website, GitHub, LinkedIn, X Daniel Whitenack – Website, GitHub, X Show Notes: Christof Henkel | Kaggle NVIDIA Kaggle Grandmasters Kaggle NVIDIA RAPIDS NVIDIA Data Loading Library (DALI) Upcoming Events: Register for upcoming webinars here!

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Accelerated data science with a Kaggle grandmaster

0:00 43:52

Chapters

  1. 0:00 Welcome to Practical AI
  2. 0:41 Christof Henkel
  3. 1:56 What is Kaggle?
  4. 7:33 How has Kaggle helped?
  5. 9:38 Deep Learning 5-6 years ago
  6. 11:05 What were the changes like?
  7. 14:09 Sponsor: Changelog++
  8. 15:08 How Kaggle compares to real life
  9. 21:56 Any Kaggle highlights?
  10. 24:04 How to climb the Kaggle ladder?
  11. 26:39 Accelerated GPUs in Kaggle
  12. 30:25 Speeding up my process
  13. 34:36 What comes up in the discussions?
  14. 37:35 Getting started
  15. 41:06 What's next for Christof
  16. 42:57 Outro

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This episode is 43 minutes long.

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This episode was published on April 4, 2023.

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