February 2024
Intermediate to advanced
378 pages
10h 10m
English
Content preview from Data-Centric Machine Learning with Python
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Part 4: Getting Started with Data-Centric ML
By now you may have realized that shifting to a data-centric approach to ML involves not just adapting your own ways of working, but also influencing those around you – a task that’s far from simple. In this part, we explore both the technical and non-technical hurdles you might encounter during the development and deployment of models, and reveal how adopting a data-centric approach can aid in overcoming these obstacles.
This part has the following chapter:
- Chapter 10, Kick-Starting Your Journey in Data-Centric Machine Learning
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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.