May 2019
Beginner to intermediate
288 pages
9h 1m
English
book
Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications
by Andrew Kelleher, Adam Kelleher
Content preview from Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications
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17. Software Architecture
17.1 Introduction
If you consider the total cost of building and running a given application or data pipeline, you’ll realize there are two major factors. The first is the cost of research and development. Building the application itself is essentially human power. The second is the cost of hosting the application, i.e., infrastructure costs. How much does it cost to store the data? How much does it cost to run the servers that respond to queries or build models?
Your understanding of hardware bottlenecks from Chapter 15 is useful in predicting infrastructural costs because avoiding different bottlenecks will have different impacts. What about the cost of development? Besides administrative, managerial, and procedural ...
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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.