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Machine learning in data processing /

Machine learning has become a cornerstone of modern data-driven science and technology. For mathematics students and researchers, understanding the mathematical foundations behind machine learning is essential, even if they never work directly with real-world datasets. This book provides a rigorous...

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Bibliographic Details
Main Authors: Wang, Xiang-Sheng (Author), Wang, Chisheng (Author)
Format: eBook
Language:English
Published: Cham : Springer, 2026.
Series:Forum for interdisciplinary mathematics,
Subjects:
Machine learning > Mathematics.
Apprentissage automatique > Mathématiques.
Electronic books.
Table of Contents:
  • 1 Matrix
  • 2 Linear Regression
  • 3 Regularization
  • 4 Nonlinear Regression
  • 5 Shallow Neural Network
  • 6 Deep Neural Network
  • 7 Batch Normalization
  • 8 Support Vector Machine
  • 9 Gradient Methods
  • 10 Dimensionality Reduction
  • A Related Topics
  • B Hints to Selected Exercise Problems
  • Index.