A primer on machine learning for fraud detection

For example, the number of countries in which a card was used (across all the businesses working with Stripe) in the recent past is a very precise indicator of fraud.

.. When a business using Stripe sees a card for the first time, there’s an 80% chance that we’ve seen the card elsewhere on the Stripe network in the past. Previous encounters with a card offer a significant amount of data to inform our risk assessments.

TensorFlow is an Open Source Software Library for Machine Intelligence

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.