- Data Science Bowl 2017: Can you improve lung cancer detection? https://www.kaggle.com/c/data-science-bowl-2017 10 comments datascience
Linking pages
- 2nd Place Solution to 2017 DSB - Daniel Hammack and Julian de Wit – Daniel Hammmack – Machine Learning Researcher https://dhammack.github.io/kaggle-ndsb2017/ 1 comment
- The biggest headache in machine learning? Cleaning dirty data off the spreadsheets - The Verge https://www.theverge.com/2017/11/1/16589246/machine-learning-data-science-dirty-data-kaggle-survey-2017 0 comments
- How I failed machine learning in medical imaging -- shortcomings and recommendations – arXiv Vanity https://www.arxiv-vanity.com/papers/2103.10292/ 0 comments
- Image Segmentation: Tips and Tricks from 39 Kaggle Competitions | Neptune Blog https://neptune.ai/blog/image-segmentation-tips-and-tricks-from-kaggle-competitions 0 comments
- GitHub - leandromineti/awesome-healthmetrics: A curated list of awesome resources at the intersection of healthcare and AI https://github.com/leandromineti/awesome-healthmetrics 0 comments
- 2nd place solution for the 2017 national datascience bowl – Julian de Wit – Freelance software/machine learning engineer. http://juliandewit.github.io/kaggle-ndsb2017/ 0 comments
- High performance tensor library in Nim | by Mamy André-Ratsimbazafy | Medium https://medium.com/@MARatsimbazafy/high-performance-tensor-library-in-nim-97a0c44de2f4 0 comments
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