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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2 Pre-project: From opportunity to requirements
This chapter covers:
- Understanding the project type and the stakeholders’ expectations of scale and structure
- Setting up a pre-sales/pre-project process
- Understanding requirements for model performance
- Understanding data assets
- Understanding the project’s general requirements
- Coming to grips with the tools and infrastructure to deliver successfully
Project success and failure are defined by the pre-project/presales activity that surrounds it. The challenge is to move from knowing that there’s an opportunity to get paid for an ML project to a job that you can use to pay your mortgage. The purpose of this chapter is to lay out the activities and actions that need to happen to understand if an ML ...
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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.