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books
| book details |
Machine Learning with Noisy Labels: Definitions, Theory, Techniques and Solutions
By (author) Gustavo Carneiro
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| on special |
normal price: R 3 413.95
Price: R 3 071.95
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| book description |
Machine Learning and Noisy Labels: Definitions, Theory, Techniques and Solutions provides an ideal introduction to machine learning with noisy labels that is suitable for senior undergraduates, post graduate students, researchers and practitioners using, and researching, machine learning methods. Most of the modern machine learning models based on deep learning techniques depend on carefully curated and cleanly labeled training sets to be reliably trained and deployed. However, the expensive labeling process involved in the acquisition of such training sets limits the number and size of datasets available to build new models, slowing down progress in the field. This book defines the different types of label noise, introduces the theory behind the problem, presents the main techniques that enable the effective use of noisy-label training sets, and explains the most accurate methods.
| product details |
Normally shipped |
Publisher | Elsevier Science Publishing Co Inc
Published date | 18 Mar 2024
Language |
Format | Paperback / softback
Pages | 312
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 650g
ISBN | 978-0-4431-5441-6
Readership Age |
BISAC |
| other options |
Normally shipped |
Readership Age |
Normal Price | R 3 994.95
Price | R 3 595.95
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