Machine Learning with Noisy Labels : Definitions, Theory, Techniques and Solutions

Name: Machine Learning with Noisy Labels
Brand: Elsevier Science Publishing Co Inc
SKU: 9780443154416
Price: 15100 KES
Availability: OutOfStock
ISBN: 9780443154416

by Gustavo, Surrey Institute for People-centred Artificial Intelligence, Department of Electrical and

Book Details

Format Paperback / softback

ISBN-10 0443154414

ISBN-13 9780443154416

Publisher Elsevier Science Publishing Co Inc

Imprint Academic Press Inc

Country of Manufacture GB

Country of Publication GB

Publication Date Mar 18th, 2024

Print length 312 Pages

Weight 650 grams

Dimensions 18.90 x 23.40 x 1.90 cms

Product Classification: Machine learning Pattern recognition Computer vision

KSh 15,100.00

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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.

Get Machine Learning with Noisy Labels by Gustavo, Surrey Institute for People-centred Artificial Intelligence, Department of Electrical and at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Elsevier Science Publishing Co Inc and it has 312 pages.