Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Accelerated data science with a Kaggle grandmaster
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.
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Featuring:
- Christof Henkel – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Christof Henkel | Kaggle
- NVIDIA Kaggle Grandmasters
- Kaggle
- NVIDIA RAPIDS
- NVIDIA Data Loading Library (DALI)
Something missing or broken? PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI
(00:41) - Christof Henkel
(01:57) - What is Kaggle?
(07:34) - How has Kaggle helped?
(09:38) - Deep Learning 5-6 years ago
(11:05) - What were the changes like?
(14:10) - Sponsor: Changelog++
(15:09) - How Kaggle compares to real life
(21:56) - Any Kaggle highlights?
(24:04) - How to climb the Kaggle ladder?
(26:39) - Accelerated GPUs in Kaggle
(30:25) - Speeding up my process
(34:37) - What comes up in the discussions?
(37:36) - Getting started
(41:06) - What's next for Christof
(42:57) - Outro