A User-Driven Knowledge Center
June 29th, 2020
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Artificial intelligence is advancing at an increasingly fast pace and may soon play an integral role in how our society functions in everyday life. As this development progresses, it's more important than ever to understand how the systems behind this technology work, and how they fail. This is a guest post for Scalable Path in which we dig into the complex issue of bias in Machine Learning with real-world examples, what causes it, and how we can address it moving forward.
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.