December 2024
Intermediate to advanced
192 pages
5h 49m
English
Content preview from Exam Ref DP-100 Designing and Implementing a Data Science Solution on Azure
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Chapter 4
Deploy and retrain a model
Deploying and operating machine learning models within a production environment present unique challenges and require a strategic approach. Unlike traditional software applications, machine learning models necessitate continuous monitoring, frequent updates, and dynamic scaling to handle fluctuating data loads and evolving data patterns. Professionals skilled in machine learning operations (MLOps) take on the critical role of bridging the gap between experimental data science and robust, scalable production systems.
This process requires a meticulous balance between operational demands and the predictive performance of models. It involves translating complex model requirements into a deployable solution that ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.