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Könyv Machine Learning in Data Processing Xiang-Sheng Wang

Machine Learning in Data Processing

Szerző: Xiang-Sheng Wang, Chisheng Wang
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer, Berlin
Elérhetőség: Könyvújdonság
Küldés 31. 07. 2026
21 874 Ft
Machine learning has become a cornerstone of modern data-driven science and technology. For mathemat...

Információk a könyvről

Szerző
Xiang-Sheng Wang, Chisheng Wang
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2026
oldal
108
EAN
9783032208545
Enbook ID
51248559
Kiadó
Springer, Berlin
Súly
321
Méretek
155 x 235

Teljes leírás

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 yet accessible introduction to the core mathematical ideas that underpin machine learning. Topics such as linear and nonlinear regression, regularization techniques, and the fundamentals of neural networks are explained in detail from a clear mathematical perspective.

Unlike many existing texts that emphasize coding and practical implementation, this book focuses on theoretical results and conceptual understanding. It is designed for readers who want to grasp the mathematics behind machine learning without writing code.

Who should read this book?

  • Mathematics students and researchers interested in machine learning but with little programming experience.
  • Scientists and engineers who have applied machine learning in practice and now seek a deeper understanding of its mathematical foundations.

 

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