"The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decision-making problems and serves as a reference for researchers and industrial practitioners. Furthermore, the boo…
"The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decision-making problems and serves as a reference for researchers and industrial practitioners. Furthermore, the boo…
The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decisionmaking problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book …
"Tree-based methods for statistical learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Bu…
"Tree-based methods for statistical learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Bu…
This new text on game theory introduces and develops the key concepts with a minimum of mathematics. Students are presented with empirical evidence, anecdotes and strategic situations to help them apply theory and gain a genuine insight into human behaviour. The book provides a …
