Precision Medicine: Improving Healthcare with Data Science and Machine Learning explores the shift toward personalised healthcare, where treatments are tailored to individual patient characteristics. Driven by advances in data science and machine learning, precision medicine enables more accurate diagnoses, better predictions, and targeted therapies.This book provides a comprehensive overview of how data-driven technologies are transforming modern healthcare. It covers key areas such as cl...

AI in the Social and Business World: A Comprehensive Approach offers an in-depth exploration of the transformative impact of Artificial Intelligence (AI) across a wide range of sectors. This edited collection features 13 chapters, each penned by field experts, providing a comprehensive understanding of AI's theoretical foundations, practical applications, and societal implications. Each chapter offers strategic insights, case studies, and discussions on ethical considerations and future tr...

AI in the Social and Business World: A Comprehensive Approach offers an in-depth exploration of the transformative impact of Artificial Intelligence (AI) across a wide range of sectors. This edited collection features 13 chapters, each penned by field experts, providing a comprehensive understanding of AI's theoretical foundations, practical applications, and societal implications. Each chapter offers strategic insights, case studies, and discussions on ethical considerations and future tr...

This book is a quick review of machine learning methods for engineering applications. It provides an introduction to the principles of machine learning and common algorithms in the first section. Proceeding chapters summarize and analyze the existing scholarly work and discuss some general issues in this field. Next, it offers some guidelines on applying machine learning methods to software engineering tasks. Finally, it gives an outlook into some of the future developments and possibly ne...

This book is a quick review of machine learning methods for engineeringapplications. It provides an introduction to the principles of machine learningand common algorithms in the first section. Proceeding chapters summarize andanalyze the existing scholarly work and discuss some general issues in this field.Next, it offers some guidelines on applying machine learning methods to softwareengineering tasks. Finally, it gives an outlook into some of the futuredevelopments and possibly new rese...

This introductory treatment begins with an overview of the basic ideas of perturbation theory, addressing the conditions under which the theory may be set up and the various forms of perturbation expansions. Subsequent chapters explore diagrammatic methods in terms of linked cluster theorem and general formulas as well as rearrangement methods. Techniques of solving the t-matrix equation and other equations that arise in the nuclear many body problem are examined in terms of appro...

Precision Medicine: Improving Healthcare with Data Science and Machine Learning explores the shift toward personalised healthcare, where treatments are tailored to individual patient characteristics. Driven by advances in data science and machine learning, precision medicine enables more accurate diagnoses, better predictions, and targeted therapies.This book provides a comprehensive overview of how data-driven technologies are transforming modern healthcare. It covers key areas suc...