Computational Optimization

  • Nyhet

Machine Learning and Fuzzy Systems

Inbunden, Engelska, 2026

Av Narinder Kaur, Bobbinpreet Kaur, Yonis Gulzar, Dac-Nhuong Le

3 249 kr

Kommande

The book investigates the correlation between computational optimization methods, data science, machine learning, and mathematical analysis. This book provides profound insights into the mathematical analysis of machine learning models. In this book, case studies are presented in a variety of disciplines, such as healthcare , finance , and e-commerce. The latter illustrates the practical implementations of optimisation in the selection of features, hyperparameters, and models. Practical observations regarding the evaluation and enhancement of machine learning models in real-world scenarios, including agriculture, e-commerce, healthcare, and financial portfolio management, are included in this publication. This publication is intended for researchers, engineers, mathematicians, and computer scientists. The goal is to improve the utilisation of computational optimisation techniques in real-time scenarios by integrating theoretical concepts with practical applications.

Produktinformation

  • Utgivningsdatum2026-01-15
  • Mått170 x 240 x undefined mm
  • Vikt500 g
  • FormatInbunden
  • SpråkEngelska
  • SerieMathematical Methods in the Digital Age
  • Antal sidor313
  • FörlagDe Gruyter
  • ISBN9783119143769