July 2023
Intermediate to advanced
272 pages
9h 16m
English
Content preview from Managing Machine Learning ProjectsBecome 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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5 Diving into the problem
This chapter covers:
- Getting and verifying access to the data
- Revisiting, verifying, and refining business understanding
- Developing UX and model utilization concepts
- Getting the versioning and pipelining system in place and working
- Building the initial pipelines to deliver a data set to the team
- Starting to build data tests to make your pipelines robust
In sprint 1, the team puts in place and starts using the infrastructure to support the delivery project, then they open the data that’s going to underpin the ML project. In order to crack the data open, they will use the infrastructure (particularly the pipelines and testing systems) that they construct.
5.1 Sprint 1 backlog
The sprint 1 backlog provides tasks that ...
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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.
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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.