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



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Цена: 47626р.
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Склад Англия: 420 шт.  Склад Америка: 132 шт.  
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Автор: Fausto Pedro Garcia Marquez
Название:  Advanced Multi-Industry Applications of Big Data Clustering and Machine Learning
Перевод названия: Фаусто Педро Гасия Маркес: Новейшие многоотраслевые приложения кластеризации больших данных и машинн
ISBN: 9781799801061
Издательство: Eurospan
Классификация:
ISBN-10: 1799801063
Обложка/Формат: Hardback
Страницы: 300
Вес: 1.45 кг.
Дата издания: 30.06.2020
Серия: Computing & IT
Язык: English
Размер: 279 x 216 x 33
Читательская аудитория: Professional and scholarly
Ключевые слова: Databases,Information technology: general issues,Mathematical theory of computation, COMPUTERS / Data Processing,COMPUTERS / Databases / General,COMPUTERS / Machine Theory
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Поставляется из: Англии



Автор: Fausto Pedro Garcia Marquez
Название: Advanced Multi-Industry Applications of Big Data Clustering and Machine Learning
ISBN: 179981565X ISBN-13(EAN): 9781799815655
Издательство: Eurospan
Рейтинг:
Цена: 31060 р.
Наличие на складе: Нет в наличии.

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: Eurospan
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Цена: 62638 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: As today's world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world.

The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.


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