Cover Image

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...

Full description

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.

Similar Items

Types of machine learning.
Published: (2019)

What is machine learning?.
Published: (2019)

Applications of machine learning.
Published: (2019)

Fundamentals of machine learning /
by: Trappenberg, Thomas P.
Published: (2020)

Automated machine learning in action /
by: Song, Qingquan, et al.
Published: (2022)

Dimensionality Reduction in Machine Learning /
Published: (2025)

Steps involved in machine learning.
Published: (2019)

Introduction to machine learning : theory.
Published: (2018)

Machine learning course pre-requisites.
Published: (2019)

Machine learning with noisy labels : definitions, theory, techniques and solutions /
by: Carneiro, Gustavo
Published: (2024)

Introduction to algorithms for data mining and machine learning /
by: Yang, Xin-She
Published: (2019)

Mastering machine learning architecture and solutions : from design to deployment /
by: Mahdiani, Mohammad Reza
Published: (2026)

Machine learning : a theoretical approach /
by: Natarajan, Balas Kausik
Published: (1991)

Applied Machine Learning for Data Science Practitioners.
by: Subramanian, Vidya
Published: (2025)

Using machine learning models to test idiographic interventions for procrastination and loneliness.
Published: (2024)

Machine learning : proceedings of the tenth international conference, University of Massachusetts, Amherst, June 27-29, 1993 /
Published: (1993)

How Can We Use Machine Learning in the Search for Exoplanets?.

Machine learning : proceedings of the ninth international workshop (ML92) /
Published: (1992)

Deep learning for data analytics : foundations, biomedical applications, and challenges /
Published: (2020)

Machine learning : proceedings of the seventh international conference (1990), University of Texas, Austin, Texas, June 21-23, 1990 /
Published: (1990)

Data science and machine learning : (theory and projects) A to Z.
Published: (2021)

Advances in subsurface data analytics : traditional and physics-based machine learning /
Published: (2022)

Optimization and machine learning : optimization for machine learning and machine learning for optimization /
Published: (2022)

MACHINE LEARNING APPLICATIONS IN CIVIL ENGINEERING.
by: MESHRAM, KUNDAN
Published: (2023)

Machine learning applications in electromagnetics and antenna array processing /
by: Martínez-Ramón, Manel, 1968-
Published: (2021)

Machine learning : proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, California, July 9-12, 1995 /
Published: (1995)

Federated learning : theory and practice /
Published: (2024)

Machine learning bookcamp /
by: Grigoriev, Alexey
Published: (2021)

Grokking Machine Learning.
by: Serrano, Luis G.
Published: (2021)

Machine learning : hands-on for developers and technical professionals /
by: Bell, Jason (Computer scientist)
Published: (2020)

Machine learning, ECML-97 : 9th European Conference on Machine Learning, Prague, Czech Republic, April 23-25, 1997 : proceedings /
Published: (1997)

Conformal prediction for reliable machine learning : theory, adaptations, and applications /
Published: (2014)

Machine learning : ECML-98 : 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, 1998 : proceedings /
Published: (1998)

Ensemble machine learning techniques /
Published: (2018)

Machine learning : from the classics to deep networks, transformers, and diffusion models /
by: Theodoridis, Sergios, 1951-
Published: (2025)

Machine learning : proceedings of the eleventh international conference /
Published: (1994)

Design Patterns für Machine Learning /
by: Lakshmanan, Valliappa, et al.
Published: (2021)

Quantum machine learning : platform, tools and applications /
Published: (2026)

Fundamentals and methods of machine and deep learning : algorithms, tools and applications /
Published: (2022)

Machine learning : a constraint-based approach.
by: Gori, Marco, et al.
Published: (2023)