Machine Learning with Noisy Labels Definitions Theory Techniques and Solutions（Gustavo Carneiro）（Academic Press 2024）

  • 书名：Machine Learning with Noisy Labels: Definitions, Theory, Techniques and Solutions
  • 出版社：Academic Press
  • 作者：Gustavo Carneiro
  • 出版年份：2024
  • 电子书格式： PDF
  • 简介：Dive into the critical field of machine learning with noisy labels. This comprehensive guide, “Machine Learning with Noisy Labels: Definitions, Theory, Techniques, and Solutions,” explores the challenges and solutions surrounding inaccurate data. Learn about noise definitions, theoretical foundations, practical techniques for handling noisy data, and effective solutions for building robust machine learning models. Ideal for researchers, students, and data scientists seeking to improve the accuracy and reliability of their machine learning projects. Gain valuable insights and practical strategies to overcome the limitations of noisy datasets and unlock the full potential of your machine learning endeavors.
  • ISBN：9780443154416
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