February 2024
Intermediate to advanced
200 pages
11h 56m
English
Content preview from Machine Learning with Noisy LabelsBecome 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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Chapter 6: Conclusions and final considerations
Abstract
This chapter concludes the book with a summary of what has been presented in the previous five chapters. We then discuss how the book has addressed the challenges listed in Chapter 1. A discussion about future developments in noisy-label learning is then presented with suggestions about on-line resources.
Keywords
Noisy-label learning on-line resources
6.1 Conclusions
We conclude the book with a summary of what has been presented. The study of noisy-label learning algorithms and models is motivated by the widespread availability of poorly curated large-scale datasets that contain a substantial amount of label noise, and also of datasets that contain samples with intrinsically noisy labels. Unfortunately, ...
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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.
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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.