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Chai Time Data Science

Eugene Khvedchenya | Kaggle, Computer Vision & Best Code Practises | Severstal Steel, 4th Pos Sol

09 Jan 2020

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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  Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani   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.    Links:    Severstal Steel Detection Comp: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114716  AMA Thread: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114291  Albumentations & Interview with Vladimir Iglovikov: https://youtu.be/JS9xol0VmA4  fast.ai course: https://course.fast.ai   Follow:  Eugene Khvedchenya: https://www.linkedin.com/in/cvtalks/?originalSubdomain=ua  https://medium.com/@eugenekhvedchenya  https://www.instagram.com/ekhvedchenya/?hl=en  https://www.kaggle.com/bloodaxe   Join: ods.ai   Sanyam Bhutani:  https://twitter.com/bhutanisanyam1  Blog: sanyambhutani.com   About: https://sanyambhutani.com/tag/chaitimedatascience/ 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.   If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd

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