April 2024
Intermediate to advanced
264 pages
6h 10m
English
Content preview from Machine Learning Q and AI
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21DATA-CENTRIC AI
What is data-centric AI, how does it compare to the conventional modeling paradigm, and how do we decide whether it’s the right fit for a project?
Data-centric AI is a paradigm or workflow in which we keep the model training procedure fixed and iterate over the dataset to improve the predictive performance of a model. The following sections define what data-centric AI means in more detail and compare it to conventional model-centric approaches.
Data-Centric vs. Model-Centric AI
In the context of data-centric AI, we can think of the conventional workflow, which is often part of academic publishing, as model-centric AI. However, ...
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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.