December 2023
Intermediate to advanced
310 pages
7h 34m
English
Content preview from Machine Learning Security with Azure
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8
Managing and Securing the MLOps Life Cycle
As important as data and infrastructure are, their management can create overhead and take away from the actual ML tasks. When different roles collaborate on an ML project, there is a need to automate and standardize things to make the daily tasks more efficient.
In this chapter, we will explore MLOps best practices and how we can implement them using Azure and other tools. We will dive into how to leverage Infrastructure as Code (IaC) and some applications of DevOps in the ML life cycle for continuous integration/continuous delivery (CI/CD) using Azure DevOps. These are not the only ways to implement MLOps, though. Azure provides us with comprehensive monitoring and logging capabilities, which we ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.