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

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