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Predictive Process Control of Crowded Particulate Suspensions, James E. Funk; Dennis R. Dinger


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Цена: 65305.00р.
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Ориентировочная дата поставки: Август-начало Сентября
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Автор: James E. Funk; Dennis R. Dinger
Название:  Predictive Process Control of Crowded Particulate Suspensions
ISBN: 9781461363644
Издательство: Springer
Классификация: ISBN-10: 1461363640
Обложка/Формат: Soft cover
Страницы: 786
Вес: 1.14 кг.
Дата издания: 26.02.2014
Язык: English
Размер: 234 x 156 x 42
Читательская аудитория: Science
Основная тема: Ceramics, Glass, Composites, Natural Materials
Подзаголовок: Applied to Ceramic Manufacturing
Ссылка на Издательство: Link
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Поставляется из: Германии


Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
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Цена: 13543.00 р.
Наличие на складе: Нет в наличии.

Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.

Pharmaceutical Suspensions

Автор: Alok K. Kulshreshtha; Onkar N. Singh; G. Michael W
Название: Pharmaceutical Suspensions
ISBN: 1441910867 ISBN-13(EAN): 9781441910868
Издательство: Springer
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Цена: 26122.00 р.
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Описание: Pharmaceutical Suspensions describes the fundamentals and theoretical concepts of disperse systems. Readers will find a discussion of the development of pharmaceutical suspensions, in addition to nano-suspensions, an emerging area within the field.

Model Predictive Control

Автор: Camacho
Название: Model Predictive Control
ISBN: 1852336943 ISBN-13(EAN): 9781852336943
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners.


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