Computational Optimization

Overview

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work.

Applications

Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented.

Practical Insights

Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included.

Target Audience

Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book.

Goals

Through the integration of theoretical principles with practical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.