Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computational Optimization: Machine Learning and Fuzzy Systems

Computational Optimization: Machine Learning and Fuzzy Systems

Kaur, Narinder
Kaur, Bobbinpreet
Gulzar, Yonis

Hardcover

Series: Mathematical Methods in the Digital Age

General ComputersGeneral Mathematics

PREORDER - Expected ship date January 15, 2026

ISBN10: 3119143766
ISBN13: 9783119143769
Publisher: de Gruyter
Published: Jan 15 2026
Pages: 313
Weight: 1.60
Height: 0.75 Width: 6.69 Depth: 9.61
Language: English

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.

Also from

Kaur, Narinder

View All

Also in

General Mathematics

View All