Training an ML model to score chargebacks
An example of a platform's network effect, which allows to predict the likelihood of winning a dispute.
- from
- Billing
- added
- 2026-10-10
- likes
- 0
similar
-
Reproducible Machine Learning for Credit Card Fraud detection fraud-detection-handbook.github.io
A practical handbook on how to identify patterns in transactions.
-
Optimizing payments with machine learning dropbox.tech
Describes a classic payment workflow, then how machine learning can replace hard-coded business rules and fine-tune the payment failures/retries loop to increase the success rates of charges.
-
Credit Card Fraud Detection using Autoencoders in Keras web.archive.org
Tutorial on how to rely on anomaly detection to implement suspicious card transactions.
-
SystemML github.com
-
Machine Learning in Credit Risk Modeling slideshare.net
James (formerly CrowdProcess) is a now-defunct online credit risk management startup that provided risk management tools to financial institutions. This whitepaper offers an overview of machine learning applications in the field of credit risk modeling.
-
Predicting CTR with Online ML mlwave.com
Billing › Fraud > Cards: “An example of a platform's network effect, which allows to predict the likelihood of winning a dispute.”