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Advanced Multi-Industry Applications of Big Data Clustering and Machine Learning, Fausto Pedro Garcia Marquez


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Цена: 24948.00р.
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Автор: Fausto Pedro Garcia Marquez
Название:  Advanced Multi-Industry Applications of Big Data Clustering and Machine Learning
ISBN: 9781799815655
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 179981565X
Обложка/Формат: Paperback
Страницы: 300
Вес: 0.00 кг.
Дата издания: 30.10.2019
Серия: Computing & IT
Язык: English
Размер: H 279 X W 216
Читательская аудитория: Professional and scholarly
Ключевые слова: Mathematical theory of computation,Databases,Information technology: general issues
Рейтинг:
Поставляется из: Англии
Описание: As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. Advanced Multi-Industry Applications of Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.


Handbook of research on emerging trends and applications of machine learning

Название: Handbook of research on emerging trends and applications of machine learning
ISBN: 1522596437 ISBN-13(EAN): 9781522596431
Издательство: Mare Nostrum (Eurospan)
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Цена: 50312.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, the book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science.

Advanced Multi-Industry Applications of Big Data Clustering and Machine Learning

Автор: Fausto Pedro Garcia Marquez
Название: Advanced Multi-Industry Applications of Big Data Clustering and Machine Learning
ISBN: 1799801063 ISBN-13(EAN): 9781799801061
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 38254.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary.

Advanced Multi-Industry Applications of Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.


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