Описание: Three paradigms, the Empirical Paradigm, the Reference Paradigm and the Reflective Paradigm, are explained followed by a search for the Fourth Paradigm, the so-called Emergence Paradigm, which presents a route to radical innovation in organizations when plans, strategies and models fail.
Автор: Paul H.C. Eilers, Brian D. Marx Название: Practical Smoothing: The Joys of P-splines ISBN: 1108482953 ISBN-13(EAN): 9781108482950 Издательство: Cambridge Academ Рейтинг: Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: P-splines are widely used in statistics and machine learning for smoothing out noise in data and to avoid overtraining. This practical guide covers theory and a range of standard and non-standard applications with code in R for professionals and researchers looking for a simple, flexible and powerful smoothing tool.
Автор: Darren Cook Название: Practical Machine Learning with H2O ISBN: 149196460X ISBN-13(EAN): 9781491964606 Издательство: Wiley Рейтинг: Цена: 6334.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.
Автор: Enrique Mu; Milagros Pereyra-Rojas Название: Practical Decision Making ISBN: 3319683683 ISBN-13(EAN): 9783319683683 Издательство: Springer Рейтинг: Цена: 6707.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a simple introduction to the theory and practice of the Analytic Hierarchy Process (AHP) without a pre-requisite for a sophisticated mathematical background.
Автор: Nikos Karacapilidis Название: Mastering Data-Intensive Collaboration and Decision Making ISBN: 3319349961 ISBN-13(EAN): 9783319349961 Издательство: Springer Рейтинг: Цена: 13677.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores the EU Dicode project, which facilitates collaboration and decision making in data-intensive and cognitively complex settings. The emphasis is on exploitation of big data, and on collaboration and issues related to sense-making support.
Автор: Pierre Marie Maurice Foussier Название: From Product Description to Cost: A Practical Approach ISBN: 1849965498 ISBN-13(EAN): 9781849965491 Издательство: Springer Рейтинг: Цена: 26711.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cost estimating is a powerful tool in industry and business. Anyone involved in cost estimating will find this book extremely useful because of the real life examples, which mean they can use the information in real situations immediately.
Автор: Pierre Marie Maurice Foussier Название: From Product Description to Cost: A Practical Approach ISBN: 1849969825 ISBN-13(EAN): 9781849969826 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cost estimating is a powerful tool in industry and business. Anyone involved in cost estimating will find this book extremely useful because of the real life examples, which mean they can use the information in real situations immediately.
Автор: Li Название: Theory of Practical Cellular Automaton ISBN: 9811074968 ISBN-13(EAN): 9789811074967 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the intellectual foundations, function, modeling approaches and complexity of cellular automata; explores cellular automata in combination with genetic algorithms, neural networks and agents; and discusses the applications of cellular automata in economics, traffic and the spread of disease.
Автор: Owen Dale Название: The Unknown Methods of Critical Thinking ISBN: 1913327078 ISBN-13(EAN): 9781913327071 Издательство: Неизвестно Рейтинг: Цена: 3485.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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Описание: It helps to structure models, to easily model complex constraints, to have a basic modeling guide for any multi-criteria system and to better understand models already existing in the literature.The book is structured in the same order as components of the methodology, established in a multi-criteria optimization problem.
Описание: It helps to structure models, to easily model complex constraints, to have a basic modeling guide for any multi-criteria system and to better understand models already existing in the literature.The book is structured in the same order as components of the methodology, established in a multi-criteria optimization problem.
Описание: This book describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalise these strategies. The book will benefit information professionals, programmers, consultants, professors, students, and industry experts who seek a variety of real-world illustrations with an implementation based on machine learning algorithms.
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