Personal Note: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com
Video Version available here: https://youtu.be/TwhJfZHx10s
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In this episode, Sanyam Bhutani interviews Eugene Khvedchenya: Kaggle Comp Master and Computer Vision Consultant.
They talk all about his journey into the field and Kaggle, and his recent team gold finish on the Severstal: Steel Defect Detection Kaggle competition, where his team finished fourth, bringing another gold medal to his profile.
Eugene also says many great pieces of advice around writing code, good code, and specially good code for Kaggle competitions, along with our discussion on his open source efforts on Albumentations and another framework that he's currently working on, called Pytorch toolbelt.
Severstal Steel Detection Comp: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114716
Albumentations & Interview with Vladimir Iglovikov: https://youtu.be/JS9xol0VmA4
fast.ai course: https://course.fast.ai
Eugene Khvedchenya: https://www.linkedin.com/in/cvtalks/?originalSubdomain=ua
A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts.
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