2017 Kaggle Involvement Program
We are excited to honor the winners of the 2017 Kaggle Involvement Program. These SOA members and candidates accepted the challenge to create solutions for unique data science challenges, from improving cancer detection techniques to reducing the human footprint in the Amazon rain forest. They also received cash prizes for finishing within the top 10 or 25 percent of their respective competitions.
Competition
Data Science Bowl 2017: Can you improve lung cancer detection?
Using a data set with thousands of high-resolution lung scans, the Data Science Bowl asked participants to develop algorithms that could dramatically improve the accuracy of determining when lesions in the lungs are cancerous. Learn More
| Member/Candidate Teams | Finish |
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Top 25% |
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Top 25% |
Intel & MobileODT Cervical Cancer Screening: Which cancer treatment will be most effective?
Challenged to improve the cervical screening process, Intel and MobileODT asked participants to develop an algorithm that uses images to identify a woman’s cervix type. Learn More
| Member/Candidate Teams | Finish |
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Top 10% |
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Top 10% |
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Top 25% |
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Top 25% |
Planet: Understanding the Amazon from Space: Use satellite data to track the human footprint in the Amazon rainforest
Planet and its Brazilian partner SCCON challenged participants to label satellite image chips with atmospheric conditions and various classes of land cover to help solve the problem of global deforestation. Learn More
| Member/Candidate Teams | Finish |
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Top 10% |
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Top 10% |
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Top 25% |
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Top 25% |
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Top 25% |
The Nature Conservancy Fisheries Monitoring: Can you detect and classify species of fish?
Based on video footage, The Nature Conservancy asked participants to develop a model that automatically detects and classifies species of fish to better target conservation efforts. Learn More
| Member/Candidate Teams | Finish |
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Top 10% |
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Top 10% |
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