Home
Machine Learning with Noisy Labels: Definitions, Theory, Techniques and Solutions
Barnes and Noble
Machine Learning with Noisy Labels: Definitions, Theory, Techniques and Solutions
Current price: $110.00
![Machine Learning with Noisy Labels: Definitions, Theory, Techniques and Solutions](https://prodimage.images-bn.com/pimages/9780443154416_p0_v1_s600x595.jpg)
![Machine Learning with Noisy Labels: Definitions, Theory, Techniques and Solutions](https://prodimage.images-bn.com/pimages/9780443154416_p0_v1_s600x595.jpg)
Barnes and Noble
Machine Learning with Noisy Labels: Definitions, Theory, Techniques and Solutions
Current price: $110.00
Size: Paperback
Loading Inventory...
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Barnes and Noble
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.