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Primarily aimed at modellers working in the field of HTA, regulators and reviewers of reimbursement dossiers and cost-effectiveness analyses.
This edition continues to refine a smaller, easier to read, and useful version of this classic textbook. While competing textbooks continue to grow, the book presents a slimmer, more practical option to align with the expectations of today’s students
This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robust performance on unseen data.
This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies. It delves deeply into how machine learning models, particularly deep neural networks, achieve robust performance on unseen data.
The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education.
This book is for social science students who need to learn the theory of analysis alongside the specifics of the R software package.
This book is for social science students who need to learn the theory of analysis alongside the specifics of the R software package.
This innovative textbook develops students' understanding of empirical research in corporate finance, enabling them... Læs mere
Offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and... Læs mere
Offers a comprehensive guide to learning statistical inference with data science tools widely used in industry, academia, and... Læs mere