Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Kevin Murphy Название: Machine Learning ISBN: 0262018020 ISBN-13(EAN): 9780262018029 Издательство: MIT Press Рейтинг: Цена: 124150.00 T Наличие на складе: Невозможна поставка. Описание:
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.
The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Автор: Groover Название: Introduction to Manufacturing Processes ISBN: 0470632283 ISBN-13(EAN): 9780470632284 Издательство: Wiley Рейтинг: Цена: 200590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: *Manufacturing Processes incorporates design topics, balance quantitative and qualitative coverage. The text also includes several case studies expanded upon online with related assessment content along with videos with related assessment questions.
Автор: Konrad Jackowski; Robert Burduk; Krzysztof Walkowi Название: Intelligent Data Engineering and Automated Learning – IDEAL 2015 ISBN: 3319248332 ISBN-13(EAN): 9783319248332 Издательство: Springer Рейтинг: Цена: 67080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Evolutionary algorithms.- Neural networks.- Probabilistic modeling.- Swarm intelligent, multi-objective optimization, and practical applications in regression.- Classification.- Clustering.-Biological data processing.- Text processing.- Video analysis.- Computational intelligence for optimization of communication networks.- Discovering knowledge from data.- Simulation-driven DES-like modeling and performance evaluation.- Intelligent applications in real-world problems.
Автор: Vladimir Modrak Название: Mass Customized Manufacturing ISBN: 1498755453 ISBN-13(EAN): 9781498755450 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Невозможна поставка. Описание: This book brings several original contributions to research and practical applications in the field of mass customization from the designer, manufacturer, and customer perspectives respectively. It presents advancements in product design for mass customization, design of assembly and supply chain processes, variety induced complexity models, complexity management, marketing tools, information systems to support decision-making, and critical success factors of this manufacturing and marketing strategy.. A special focus of interest is also on the use of product configurators in practice and sustainability assessment for mass customization strategy. The aim is to disseminate current developments and approaches for further theoretical investigation and practical applications of mass customized manufacturing systems.
Название: Geometric and Algorithmic of Computer-Aided Design and Manufacturing ISBN: 0821836285 ISBN-13(EAN): 9780821836286 Издательство: Oxford Academ Рейтинг: Цена: 118270.00 T Наличие на складе: Невозможна поставка. Описание: Computer-Aided Design and Manufacturing (CAD/CAM) is concerned with all aspects of the process of designing, prototyping, manufacturing, inspecting, and maintaining complex geometric objects under computer control. As such, there is a natural synergy between this field and Computational Geometry (CG), which involves the design, analysis, implementation, and testing of efficient algorithms and data representation techniques for geometric entities such as points, polygons, polyhedra, curves, and surfaces. The DIMACS Center (Piscataway, NJ) sponsored a workshop to further promote the interaction between these two fields. Attendees from academia, research laboratories, and industry took part in the invited talks, contributeresentations, and informal discussions. This volume is an outgrowth of that meeting. Topics covered in this volume include geometric modeling, computational topology, computational metrology, geometric constraint solving, part immobilization, geometric aspects of machining, layered manufacturing, and algebraic methods. The book is suitable for graduate students and researchers interested in geometric and algorithmic aspects of computer-aided design and manufacturing.
Название: Back to Basics Your Guide to Manufacturing Excellence ISBN: 1574442791 ISBN-13(EAN): 9781574442793 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Based on the popular "Back to Basics" columns that appear in the magazine "APICS: The Performance Advantage", this title details the key concepts necessary to expertly apply fresh approaches such as ERP, CPFR, and VMI. It includes topics such as: capacity, inventory, inventory accuracy, part numbering, processes, and problem solving.
Автор: Yves Crama; Alwin G. Oerlemans; Frits C.R. Spieksm Название: Production Planning in Automated Manufacturing ISBN: 3642802729 ISBN-13(EAN): 9783642802720 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book quantitative approaches are proposed for production planning problems in automated manufacturing. The book will help to understand the nature of production planning problems in automated manufacturing and show how techniques from operations research may contribute to their solution.
Автор: Thorsten Wuest Название: Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning ISBN: 3319386980 ISBN-13(EAN): 9783319386980 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book reports on a novel approach for holistically identifying the relevant state drivers of complex, multi-stage manufacturing systems. In practice, this method can be used to identify the most important process parameters and state characteristics, the so-called state drivers, of a manufacturing system.
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.
Автор: Thorsten Wuest Название: Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning ISBN: 3319176102 ISBN-13(EAN): 9783319176109 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book reports on a novel approach for holistically identifying the relevant state drivers of complex, multi-stage manufacturing systems. In practice, this method can be used to identify the most important process parameters and state characteristics, the so-called state drivers, of a manufacturing system.
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