July 2023
Intermediate to advanced
272 pages
9h 16m
English
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8 Testing and selection
This chapter covers:
- Structuring testing environments, then migrating code and artifacts to them
- Measuring the properties of models
- Understanding how to test ML-discovered models offline and online
- Understanding how the test results can be used to select models
- Using qualitative evaluation and selection and quantitative measures
- Avoiding deceptive traps when evaluating your models
So far in sprint 2, the team designed the model to be developed using their understanding of the data, the client’s challenges and context, and the application that they expect to build. They’ve used a structured process to develop the model and tracked their progress using an experiment tracker and a model repository. They’ve also applied ...
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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.