machine learning

By: T-Mobile

May 14, 2020
You’ve built a model that stakeholders love. Now, you need it to retrain every day… and that requires a whole new architecture. In this article, Mark Eric Hanson outlines why automated ML model retraining is important, the use cases it solves for T-Mobile, and how to stitch the tech together to recreate a similar implementation of your own. Its a fascinating read, and a good behind-the-scenes look at how we approach problem-solving at T-Mobile.
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November 02, 2018
Our open source method for using R to create Neural Network powered APIs as Docker containers.
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