What Every Engineer Should Know About Decision Making Under Uncertainty, Wang, John X.
Автор: Madhavan Guru Название: Think Like an Engineer ISBN: 1780748647 ISBN-13(EAN): 9781780748641 Издательство: TBS/GBS Рейтинг: Цена: 14510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on Dostoevsky`s first literary publication-his 1844 translation of the first edition of Balzac`s Eug nie Grandet (1834). Through the prism of close reading, the author analyzes Dostoevsky`s literary debut and the stylistic choices he made while working on Balzac`s novel in the context of his future mature aesthetic style and poetics.
Автор: Ceberio Название: Decision Making Under Uncertainty and Constraints ISBN: 3031164148 ISBN-13(EAN): 9783031164149 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book shows, on numerous examples, how to make decisions in realistic situations when we have both uncertainty and constraints. In most these situations, the book's emphasis is on the why-question, i.e., on a theoretical explanation for empirical formulas and techniques. Such explanations are important: they help understand why these techniques work well in some cases and not so well in others, and thus, help practitioners decide whether a technique is appropriate for a given situation. Example of applications described in the book ranges from science (biosciences, geosciences, and physics) to electrical and civil engineering, education, psychology and decision making, and religion—and, of course, include computer science, AI (in particular, eXplainable AI), and machine learning. The book can be recommended to researchers and students in these application areas. Many of the examples use general techniques that can be used in other application areas as well, so it is also useful for practitioners and researchers in other areas who are looking for possible theoretical explanations of empirical formulas and techniques.
Автор: Srinivasan, Satish Mahade Название: What Every Engineer Should Know About Data-Driven Analytics ISBN: 1032235438 ISBN-13(EAN): 9781032235431 Издательство: Taylor&Francis Рейтинг: Цена: 137810.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Middendorf Название: What every engineer should know about inventing ISBN: 0367451999 ISBN-13(EAN): 9780367451998 Издательство: Taylor&Francis Рейтинг: Цена: 30610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides the reader with the information they need to develop into a person who seeks creative opportunities and responds with elegant inventions. It is intended for young inventor and to all those who have the talent and the desire to invent.
Автор: Holman Название: What Every Engineer Should Know About Excel ISBN: 1138306142 ISBN-13(EAN): 9781138306141 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book reflects the latest version of Excel and introduces Ribbon Bar Navigation. It features 2 new chapters on data management capabilities (connectivity to external databases, organization of data, sorting, filtering and data lookup across worksheets using functions like VLOOKUP and HLOOKUP) and Office 365 and integration with cloud resources.
Автор: Ruskin, Arnold M. , Estes, W. Eugene Название: What Every Engineer Should Know About Project Management ISBN: 0367401940 ISBN-13(EAN): 9780367401948 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Covering the roles and responsibilities of the project manager, What Every Engineer Should Know about Project Management, Second Edition describes requirement specifications, work breakdown structures, project control, and risk management while offering added information on motivation, matrix arrangements, and project records. Discussing the anatomy of a project, planning and control, and techniques, the authors describe the project manager's entire range of responsibilities from initial planning to directing personnel, controlling work, and reporting results. The appendices cover work breakdown structure paradigms, cost versus time profiles, and checklists to assess work done.
Автор: Humphreys, Kenneth K. Название: What Every Engineer Should Know about Ethics ISBN: 0824782089 ISBN-13(EAN): 9780824782085 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Нет в наличии.
Автор: Ficco, Mike Название: What Every Engineer Should Know About Career Management ISBN: 1420076825 ISBN-13(EAN): 9781420076820 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Srinivasan, Satish Mahadevan (penn State Great Valley, Usa) Laplante, Phillip A. (the Pennsylvania State University, Malvern, Usa) Название: What every engineer should know about data-driven analytics ISBN: 1032235403 ISBN-13(EAN): 9781032235400 Издательство: Taylor&Francis Рейтинг: Цена: 51030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be understood by every engineering discipline. It offers a detailed and focused treatment of the important machine learning approaches and concepts that can be exploited to build models to enable decision making in different domains.Utilizes practical examples from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision makingIntroduces various approaches to build models that exploits different algorithmsDiscusses predictive models that can be built through machine learning and used to mine patterns from large datasetsExplores the augmentation of technical and mathematical materials with explanatory worked examplesIncludes a glossary, self-assessments, and worked-out practice exercisesWritten to be accessible to non-experts in the subject, this comprehensive introductory text is suitable for students, professionals, and researchers in engineering and data science.