June 2022
Intermediate to advanced
384 pages
8h 5m
English
Content preview from Machine Learning on Kubernetes
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Part 1: The Challenges of Adopting ML and Understanding MLOps (What and Why)
In this section, we will define what MLOps is and why it is critical to the success of your AI journey. You will go through the challenges organizations may encounter in their AI journey and how MLOps can assist in overcoming those challenges.
The last chapter of this section will provide a refresher on Kubernetes and the role it plays in bringing MLOps to the OSS community. This is by no means a guide to Kubernetes, and you should consult other sources for a guide on Kubernetes.
This section comprises the following chapters:
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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.