
Combating Fraudulent Financial Technologies with Machine Learning
The objective of this project is to explore whether high-frequency app data and applied machine learning techniques can be leveraged to create a system for flagging and reporting highly suspect apps.
- Use cases, geography and tags
- Organizations that created, adopted or are mentioned
- Ecosystem position
- Link to the original asset
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