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Machine Learning and Its Applications, Wlodarczak


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Цена: 178640.00T
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Склад Америка: 216 шт.  
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Автор: Wlodarczak
Название:  Machine Learning and Its Applications
ISBN: 9781138328228
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1138328227
Обложка/Формат: Hardcover
Страницы: 380
Вес: 0.52 кг.
Дата издания: 22.06.2019
Язык: English
Иллюстрации: 2 tables, black and white; 5 illustrations, color; 47 illustrations, black and white
Размер: 236 x 160 x 15
Читательская аудитория: Tertiary education (us: college)
Основная тема: Machine Learning
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book describes Machine Learning techniques and algorithms that have been used in recent real-world application. It provides an introduction to Machine Learning, describes the most widely used techniques and methods. It also covers Deep Learning and related areas such as function approximation or.

Computer Vision and Image Processing: Fundamentals and Applications

Автор: Manas Kamal Bhuyan
Название: Computer Vision and Image Processing: Fundamentals and Applications
ISBN: 0815370849 ISBN-13(EAN): 9780815370840
Издательство: Taylor&Francis
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Цена: 142910.00 T
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Описание: The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts.

A primer on machine learning applications in civil engineering /

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: Поставка под заказ.
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.

Optimization Concepts and Applications in Engineering

Автор: Ashok D. Belegundu, Tirupathi R. Chandrupatla
Название: Optimization Concepts and Applications in Engineering
ISBN: 1108424880 ISBN-13(EAN): 9781108424882
Издательство: Cambridge Academ
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Цена: 109830.00 T
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Описание: A revised and expanded third edition, this book integrates theory, modeling, the development of numerical methods, and problem solving to apply optimization to real-world problems. This book is ideal for advanced undergraduate, graduate and applied mathematics courses as well as practicing engineers.

Автор: Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg
Название: Handbook of Mixed Membership Models and Their Applications
ISBN: 0367330849 ISBN-13(EAN): 9780367330842
Издательство: Taylor&Francis
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Цена: 73490.00 T
Наличие на складе: Невозможна поставка.
Описание: This handbook shows how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology.

Machine Vision: Applications & Systems

Автор: Beata Akselsen
Название: Machine Vision: Applications & Systems
ISBN: 1681172682 ISBN-13(EAN): 9781681172682
Издательство: Gazelle Book Services
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Цена: 230210.00 T
Наличие на складе: Невозможна поставка.
Описание: Vision plays an ultimate role for living beings by allowing them to cooperate with the environment in an actual and competent way. The crucial objective of Machine Vision is to provide artificial systems with adequate capabilities to cope with not a priori predetermined situations. While computer vision is focused mainly on image processing at the level of hardware, machine vision most often requires the use of additional hardware and computer networks to transmit information generated by the other process components, such as a robot arm. Machine vision is a subcategory of engineering machinery, dealing with issues of information technology, optics, mechanics and industrial automation. One of the most common applications of machine vision is inspection of the products such as microprocessors, cars, food and pharmaceuticals. Machine vision systems are used increasingly to solve problems of industrial inspection, allowing for complete automation of the inspection process and to increase its accuracy and efficiency. As is the case for inspection of products on the production line, made by people, so in case of application for that purpose machine vision systems are used digital cameras, smart cameras and image processing software. This book entitled Machine Vision - Applications and Systems presents the possible applications of machine vision in the present. The book places particular emphasis on the engineering and technology aspects of image processing and computer vision. Machine Vision is not restricted any more to industrial environments, where situations and tasks are shortened and very specific, but it is now prevalent to support system solutions of routine life problems.

Exploring Zynq Mpsoc: With Pynq and Machine Learning Applications

Автор: Louise Crockett H., David Northcote, Craig Ramsay
Название: Exploring Zynq Mpsoc: With Pynq and Machine Learning Applications
ISBN: 0992978769 ISBN-13(EAN): 9780992978761
Издательство: Неизвестно
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Цена: 116480.00 T
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Описание:

This book introduces the Zynq MPSoC (Multi-Processor System-on-Chip), an embedded device from Xilinx. The Zynq MPSoC combines a sophisticated processing system that includes ARM Cortex-A53 applications and ARM Cortex-R5 real-time processors, with FPGA programmable logic.

As well as guiding the reader through the architecture of the device, design tools and methods are also covered in detail: both the conventional hardware/software co-design approach, and the newer software-defined methodology using Xilinx's SDx development environment. Featured aspects of Zynq MPSoC design include hardware and software development, multiprocessing, safety, security and platform management, and system booting. There are also special features on PYNQ, the Python-based framework for Zynq devices, and machine learning applications.

This book should serve as a useful guide for those working with Zynq MPSoC, and equally as a reference for technical managers wishing to gain familiarity with the device and its associated design methodologies.


Exploring Zynq Mpsoc: With Pynq and Machine Learning Applications

Автор: Crockett Louise H., Northcote David, Ramsay Craig
Название: Exploring Zynq Mpsoc: With Pynq and Machine Learning Applications
ISBN: 0992978750 ISBN-13(EAN): 9780992978754
Издательство: Неизвестно
Рейтинг:
Цена: 91960.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This book introduces the Zynq MPSoC (Multi-Processor System-on-Chip), an embedded device from Xilinx. The Zynq MPSoC combines a sophisticated processing system that includes ARM Cortex-A53 applications and ARM Cortex-R5 real-time processors, with FPGA programmable logic.

As well as guiding the reader through the architecture of the device, design tools and methods are also covered in detail: both the conventional hardware/software co-design approach, and the newer software-defined methodology using Xilinx's SDx development environment. Featured aspects of Zynq MPSoC design include hardware and software development, multiprocessing, safety, security and platform management, and system booting. There are also special features on PYNQ, the Python-based framework for Zynq devices, and machine learning applications.

This book should serve as a useful guide for those working with Zynq MPSoC, and equally as a reference for technical managers wishing to gain familiarity with the device and its associated design methodologies.


Coefficient of variation and machine learning applications

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.

Optimization in Machine Learning and Applications

Автор: Anand J. Kulkarni; Suresh Chandra Satapathy
Название: Optimization in Machine Learning and Applications
ISBN: 981150993X ISBN-13(EAN): 9789811509933
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
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Описание: This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making.

Advanced Machine Learning Technologies and Applications

Автор: Aboul Ella Hassanien; Abdel-Badeeh M. Salem; Rabie
Название: Advanced Machine Learning Technologies and Applications
ISBN: 3642353258 ISBN-13(EAN): 9783642353253
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the First International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2012, held in Cairo, Egypt, in December 2012.

Machine Learning Applications: Emerging Trends

Автор: Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy
Название: Machine Learning Applications: Emerging Trends
ISBN: 3110608537 ISBN-13(EAN): 9783110608533
Издательство: Walter de Gruyter
Цена: 123910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.



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