The recently open-sourced platform called
Marvin AI is helping
B2W Digital data science teams to put some interesting projects into production, such as the dynamic pricing and fraud detection. The platform is helping B2W avoid challenges that are common in machine learning projects, like building a hypothesis prototype and putting it in production, enabling it to handle ever-increasing data sets, and supporting the necessary throughput of the largest e-commerce company in South America.
Marvin AI is made up of tools, libraries, an embedded server that exposes microservices to serve and manage models, and a very useful design pattern,
DASFE, that simplifies the process of building new machine learning engines. In this 90-minute hands-on tutorial, one of the project architects and main open source contributor will explain all the core features of Marvin.
See the slides.
