August 2025
Intermediate to advanced
276 pages
6h 16m
English
Content preview from Hands-On MLOps on Azure
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10
Using Models in Real-world Applications
MLOps extends the core principles of DevOps to machine learning projects, addressing the unique challenges posed by data dependencies, model versioning, and the need for continuous monitoring and retraining. By adopting MLOps practices, organizations can streamline their machine learning workflows, improve collaboration between data scientists and operations teams, and ensure reliable and efficient deployment of models in production environments.
In this chapter, we will explore three distinct case studies that illustrate how MLOps strategies can solve various real-world problems. To showcase the strengths of different cloud providers, each case study will focus on a unique cloud platform. This offers ...
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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.