June 2018
Intermediate to advanced
224 pages
8h 3m
English
Content preview from Machine Learning SystemsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 9. Delivering
This chapter covers
- Building Scala code using sbt
- Evaluating applications for deployment
- Strategies for deployments
Now that you’ve seen how all the components of a machine learning system work together, it’s time to think about some system-level challenges. In this chapter, we’ll explore how to deliver a machine learning system for use by the ultimate customers of the system. The approach we’ll use for this challenge is called continuous delivery. The ideas behind continuous delivery were developed outside of a machine learning context, but as you’ll see, they’re entirely applicable to the challenge of making machine learning reactive.
Continuous delivery practitioners seek to rapidly deliver new units of functionality ...
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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.