Industrial Applications of Machine Learning, Pedro Larran?aga; Alberto Ogbechie
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: Galit Shmueli, Peter C. Bruce, Nitin R. Patel Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner ISBN: 1118729277 ISBN-13(EAN): 9781118729274 Издательство: Wiley Рейтинг: Цена: 118270.00 T Наличие на складе: Поставка под заказ. Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.
Автор: Simons Stefaan Название: Concepts of Chemical Engineering for Chemists ISBN: 1782623582 ISBN-13(EAN): 9781782623588 Издательство: Royal Society of Chemistry Рейтинг: Цена: 70330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a guide for chemists (and other scientists) who work alongside chemical engineers or who are undertaking chemical engineering-type projects and who wish to communicate with their colleagues and understand chemical engineering principles.
Автор: Bhaben Chandra Kalita Название: Tensor Calculus and Applications: Simplified Tools and Techniques ISBN: 0367138069 ISBN-13(EAN): 9780367138066 Издательство: Taylor&Francis Рейтинг: Цена: 158230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The aim of this book is to make the subject easier to understand. This book provides clear concepts, tools, and techniques to master the subject of Tensors, and can be used in many fields of research. Special applications are discussed in the book, in order to remove any confusion, and for absolute understanding of the subject.
Автор: Oliver Gassmann, Jonas Bohm, Maximilian Palmie Название: Smart Cities: Introducing Digital Innovation to Cities ISBN: 1787696146 ISBN-13(EAN): 9781787696143 Издательство: Emerald Рейтинг: Цена: 24380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Naast de publicatie IPMA-D op basis van ICB 4 Courseware - herziene druk (ISBN: 978 94 0184240) wordt u geadviseerd de het boek Projectmanagement op basis van ICB versie 4 - 4de herziene druk - IPMA B, IPMA C, IPMA-D , IPMA PMO (ISBN: 978 94 018 0381 6) aan te schaffen. De inhoud is gebaseerd op de Individual Competence Baseline version 4 (ICB4) van de International Project Management Association (IPMA) en beschrijft alle vakinhoudelijke, gedragsmatige en contextuele competenties voor de projectprofessional zoals deze zijn gespecificeerd in de examengids van IPMA Nederland. Dit cursusmateriaal is bedoeld voor het verzorgen van een 4-daagse training voor beginnende projectleiders en biedt een gedegen theoretische kennis van zowel de `harde` instrumentele als `zachte` sociale aspecten voor het vakgebied projectmanagement conform de IPMA richtlijnen. Deze training leidt op tot het examen IPMA-D van IPMA Certificering. Na afloop van de training is de deelnemer in staat zelfstandig niet-complexe projecten te leiden en kan een projectmanager van beperkt complexe projecten ondersteunen. Tevens stelt de training de deelnemer in staat het IPMA-D examen met goed gevolg af te leggen.
Автор: Laurier Schramm Название: Innovation Technology: A Dictionary ISBN: 3110438240 ISBN-13(EAN): 9783110438246 Издательство: Walter de Gruyter Цена: 115060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Innovation from A to Z presents a glossary, including: Terms, older terms whose meanings have changed, acronyms, synonyms, famous names, selected abbreviations, and cross-references. A highly interdisciplinary approach incorporating strategy and entrepreneurship with technology and engineering sciences, economics, marketing, organizational behavior and theory. Ideal for engineers, managers, sales people and economists.
Автор: Witten, Ian H. Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed. ISBN: 0128042915 ISBN-13(EAN): 9780128042915 Издательство: Elsevier Science Рейтинг: Цена: 61750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Автор: Ma Название: Manifold Learning Theory and Applications ISBN: 1439871094 ISBN-13(EAN): 9781439871096 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread application in machine learning, neural networks, pattern recognition, image processing, and computer vision.
Filling a void in the literature, Manifold Learning Theory and Applications incorporates state-of-the-art techniques in manifold learning with a solid theoretical and practical treatment of the subject. Comprehensive in its coverage, this pioneering work explores this novel modality from algorithm creation to successful implementation--offering examples of applications in medical, biometrics, multimedia, and computer vision. Emphasizing implementation, it highlights the various permutations of manifold learning in industry including manifold optimization, large scale manifold learning, semidefinite programming for embedding, manifold models for signal acquisition, compression and processing, and multi scale manifold.
Beginning with an introduction to manifold learning theories and applications, the book includes discussions on the relevance to nonlinear dimensionality reduction, clustering, graph-based subspace learning, spectral learning and embedding, extensions, and multi-manifold modeling. It synergizes cross-domain knowledge for interdisciplinary instructions, offers a rich set of specialized topics contributed by expert professionals and researchers from a variety of fields. Finally, the book discusses specific algorithms and methodologies using case studies to apply manifold learning for real-world problems.
Автор: Deka, Paresh Chandra, Название: A primer on machine learning applications in civil engineering / ISBN: 113832339X ISBN-13(EAN): 9781138323391 Издательство: Taylor&Francis Рейтинг: Цена: 100030.00 T Наличие на складе: Нет в наличии. Описание: This book provides a broad overview of the available machine learning techniques for solving civil engineering problems including drought forecasting, river flow forecasting, precipitation forecasting, and significant wave height forecasting. Fundamentals of both theoretical and practical aspects are discussed in varied domains.
Автор: Hima Bindu, K. Morusupalli, Raghava Dey, Nilanjan Название: Coefficient of variation and machine learning applications ISBN: 0367273284 ISBN-13(EAN): 9780367273286 Издательство: Taylor&Francis Рейтинг: Цена: 58170.00 T Наличие на складе: Невозможна поставка. Описание: This book explains computational strategies, properties of Coefficient of Variation (CV) and related metadata extraction. It includes representational/classification strategies through illustrative explanations. CV in context of contemporary Machine Learning strategies and Big Data paradigms is explained through selected applications.
Автор: Srinivasa K. G., Siddesh G. M., Manisekhar S. R. Название: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications ISBN: 9811524440 ISBN-13(EAN): 9789811524448 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.
Название: Industrial Servo Control Systems : Fundamentals and Applications ISBN: 0824708369 ISBN-13(EAN): 9780824708368 Издательство: Taylor&Francis Рейтинг: Цена: 234790.00 T Наличие на складе: Невозможна поставка. Описание: Presents the technologies in the calculation of brushless DC motor time constants, material on drive sizing, and case studies illustrating key topics. This book details hardware specifications related to the operation of machine service drives and outlines troubleshooting methods for problems concerning machine nonlinearities and inertia.
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