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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6 EDA, ethics, and baseline evaluations
This chapter covers:
- Undertaking an EDA to discover the statistical characteristics of data
- Exploring unstructured data properties using foundational models
- Checking the project’s ethical, privacy, and security aspects
- Building baseline models to get feedback about the potential for success
- Providing support for estimating performance of more sophisticated models
In chapter 5, we learned about the work required to get a data resource that the team can work with for modelling. Now the team can dive into the data to understand its characteristics and discern what can and what can’t be done with it. To do this, the team needs to work in a structured way, exploring the data, investigating it with a range ...
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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.