Building an Streaming Machine Learning System

October 1st, 2020

People who build Machine Learning (ML) and Operations Research (OR) models often think of their models as single entities that act in isolation, and they don't realize how multiple models can be combined to produce complex real-time predictions that can dynamically adjust based on how much time a request can be delayed. In this course, we show you how to implement a smart streaming system that uses the Pub/Sub pattern to dynamically plug-in models in while running in production without affecting on-going requests.

Coming soon: online store

Subscribe to newsletter to be notified.

Comment to help prioritize content.

Learn more: "A User-Driven Knowledge Center"

I help companies through digital transformations by designing and developing systems that improve human decision making with data, cloud, software, and mathematics (Machine Learning, Operations Research, Statistics). I also enjoy coaching teams and publishing content on Smart Automation.


Comments not loaded in development.