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Mathematics

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"Tout comme monsieur Jourdain faisait de la prose sans le savoir, nous faisons des maths sans nous en rendre compte. Car les maths sont partout. Quand vous lancez trois dés en l'air, quelle est la probabilité qu'ils retombent tous du même côté ? Quelle est la couleur qui a le plus de chances de sortir à la table du casino ? Entre deux jeux d'argent apparemment identiques, quel est celui qui pourrait vous faire gagner le plus d'argent ? Ce livre nous met au défi de résoudre 21 énigmes - de difficulté croissante au fil des pages - afin, disent les auteurs, de « faire des maths avec peu de chiffres et beaucoup d'idées ». Subterfuges, mensonges, chausse-trapes, duperies, viennent à la rescousse d'une variété infinie de raisonnements mathématiques pour tenter de résoudre des énigmes dont la simplicité n'est qu'apparente... 21 énigmes pour comprendre (enfin !) les maths est un livre drôle et intelligent qui fait appel à la logique, au raisonnement, à la déduction, et la part belle à la philosophie dont les auteurs aiment à montrer les liens étroits qu'elle entretient avec les mathématiques."

Mathematics

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This book is about cyber security. In Part 1, the author discusses his thoughts on the cyber security industry and how those that operate within it should approach their role with the mindset of an artist. Part 2 explores the work of Sun Tzu's The Art of War.

Mathematics

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Bayesian predictive inference is at the core of the mathematical theory of inductive reasoning. Nowadays, this field has become very attractive especially for its connections with algorithmic probability, machine learning and artificial intelligence. The complexity of both problems and algorithm represents a constant source of research of asymptotic techniques, which are necessary to handle vast datasets. The present book contains the 11 papers accepted and published in the Special Issue "Bayesian Predictive Inference and Related Asymptotics-Festschrift for Eugenio Regazzini's 75th Birthday" of the MDPI Mathematics journal. The topics of the paper focus, among others, on Bayesian nonparametrics, species sampling models, partial exchangeability and optimal stopping. Finally, as the title suggests, the Special Issue aims to celebrate the 75th birthday of Prof. Eugenio Regazzini, who has provided so many important contributions to the field of Bayesian inference.

Mathematics.

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Hundreds of organizations around the world have already benefited from Disciplined Agile Delivery (DAD). Disciplined Agile® (DA(tm)) is the only comprehensive tool kit available for guidance on building high-performance agile teams and optimizing your way of working (WoW). As a hybrid of the leading agile, lean, and traditional approaches, DA provides hundreds of strategies to help you make better decisions within your agile teams, balancing self-organization with the realities and constraints of your unique enterprise context. This book: * Provides a foundation for enterprise agility, value streams, and a disciplined approach to DevOps;* Is a pragmatic application of agile, lean, and traditional techniques for your enterprise-class environment; * Overviews a strategy for teams to evolve a fit-for-purpose, flexible WoW that still supports a consistent governance strategy for leadership; and * Makes a perfect study guide for Disciplined Agile certification. Why "fail fast" (as the agile industry likes to recommend) when you can learn quickly on your journey to high performance? With this book, you can make better decisions based upon proven, context-based strategies, leading to earlier success and better outcomes.

Mathematics