Mathematical Methods in the Digital Age

By: Narinder Kaur (Editor), Bobbinpreet Kaur (Editor), Yonis Gulzar (Editor)

Write A Review

Hardcover | 15 January 2026

At a Glance

Hardcover
332 Pages

Dimensions(cm)
24.41 x 16.99 x 1.91

Hardcover

$114.37

or 4 interest-free payments of $28.59 with

Ships in 5 to 7 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $89.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.