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Название: Data Analytics: Principles, Tools, and Practices: A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools
Автор: Dr. Gaurav Aroraa, Chitra Lele, Dr. Munish Jindal
Издательство: BPB Publications
Год: 2022
Формат: ePUB, PDF
Страниц: 878
Размер: 11,7 Mb
Язык: English

A Complete Data Analytics Guide for Learners and Professionals.
Key Features
- Learn Big Data, Hadoop Architecture, HBase, Hive and NoSQL Database.
- Dive into Machine Learning, its tools, and applications.
- Coverage of applications of Big Data, Data Analysis, and Business Intelligence.

Название: Understanding Infrastructure Edge Computing: Concepts, Technologies, and Considerations
Автор: Alex Marcham
Издательство: Wiley
Год: 2021
Страниц: 354
Язык: английский
Формат: pdf (true), epub
Размер: 10.14 MB

A comprehensive review of the key emerging technologies that will directly impact areas of computer technology over the next five years. Infrastructure edge computing is the model of data center and network infrastructure deployment which distributes a large number of physically small data centers around an area to deliver better performance and to enable new economical applications. It is vital for those operating at business or technical levels to be positioned to capitalize on the changes that will occur as a result of infrastructure edge computing. This book was written for an audience of technologists, decision makers, and engineers in the fields of telecommunications, networking, data centres, and application development and operation who are interested in new emerging areas of technology, such as edge computing, fifth generation (5G), and distributed Artificial Intelligence (AI).

Название: Metadata in the Digital Library: Building an Integrated Strategy with XML
Автор: Richard Gartner
Издательство: Facet Publishing
Год: 2021
Страниц: 200
Язык: английский
Формат: epub
Размер: 10.2 MB

Metadata in the Digital Library is a complete guide to building a digital library metadata strategy from scratch, using established metadata standards bound together by the markup language XML. The book introduces the reader to the theory of metadata and shows how it can be applied in practice. It lays out the basic principles that should underlie any metadata strategy, including its relation to such fundamentals as the digital curation lifecycle, and demonstrates how they should be put into effect. It introduces the XML language and the key standards for each type of metadata, including Dublin Core and MODS for descriptive metadata and PREMIS for its administrative and preservation counterpart. Finally, the book shows how these can all be integrated using the packaging standard METS.

Название: Industry 4.0 Interoperability, Analytics, Security, and Case Studies
Автор: G. Rajesh, X. Mercilin Raajini
Издательство: CRC Press
Серия: Big Data for Industry 4.0: Challenges and Applications
Год: 2021
Страниц: 332
Язык: английский
Формат: pdf (true), epub
Размер: 12.9 MB

All over the world, vast research is in progress on the domain of Industry 4.0 and related techniques. Industry 4.0 is expected to have a very high impact on labor markets, global value chains, education, health, environment, and many social economic aspects. Industry 4.0 Interoperability, Analytics, Security, and Case Studies provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, Machine Learning, virtualization, decentralization, blockchain, fog computing, and many other related areas. Also discussed are interoperability, design, and implementation challenges. Big Data Analytics (BDA) can be referred to as “the process of analyzing large scale datasets in order to find unknown correlations, hidden patterns, and other valuable information which is not able to be analysed using conventional data analytics”, as the conventional data analysis techniques are no longer effective because of the special characteristics of big dаta: massive, heterogeneous, high dimensional, complex, erroneous, unstructured, noisy, and incomplete.

Название: Введение в системное администрирование Unix
Автор: Мошков М.Е.
Издательство: ИНТУИТ
Год: 2021
Cтраниц: 205
Формат: pdf
Размер: 14 мб
Язык: русский

В учебном пособии дано краткое описание основ администрирования ОС Unix. Рассказано, как включить Unix-компьютер, описано, какие Unix бывают, какова начальная загрузка операционной системы, какого типа используются файловые системы, приведены сведения об установке дополнительного программного обеспечения, о сетевых командах Unix, сетевой файловой системе NFS - Network File System.

Название: Создание интегрированных документов в Microsoft office. Введение в анализ данных и подготовку документов
Автор: Карабутов Н.Н.
Издательство: СОЛОН-Пресс
Год: 2016
Cтраниц: 293
Формат: pdf
Размер: 61 мб
Язык: русский

Излагаются вопросы создания интегрированных документов в среде Microsoft Office. Рассмотрены основы создания баз данных, извлечения информации и ее анализа как в Microsoft Access, так и Microsoft Excel. Изложены основы работы с Microsoft Query и его применение для извлечения данных из внешних баз данных и других источников с последующим анализом OLAP-кубов в Microsoft Excel.

Название: Advances in Data Science
Автор: Ilke Demir, Yifei Lou, Xu Wang
Издательство: Springer
Год: 2021
Страниц: 374
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB

This volume highlights recent advances in Data Science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. Edge enhancement is an essential problem in image processing, computer graphics, computer vision. It aims to make image edges salient so that users can better visualize images and videos. In this study, we mainly focus on edge sharpening, a subset of edge enhancement that can be applied to many important problems, including image super-resolution (SR), deblurring, etc.

Название: Relational Calculus for Actionable Knowledge
Автор: Michel Bares, Eloi Bosse
Издательство: Springer
Серия: Information Fusion and Data Science
Год: 2022
Страниц: 360
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book focuses on one of the major challenges of the newly created scientific domain known as Data Science: turning data into actionable knowledge in order to exploit increasing data volumes and deal with their inherent complexity. Actionable knowledge has been qualitatively and intensively studied in management, business, and the social sciences but in computer science and engineering, its connection has only recently been established to data mining and its evolution, ‘Knowledge Discovery and Data Mining’ (KDD). Data mining seeks to extract interesting patterns from data, but, until now, the patterns discovered from data have not always been ‘actionable’ for decision-makers in Socio-Technical Organizations (STO). With the evolution of the Internet and connectivity, STOs have evolved into Cyber-Physical and Social Systems (CPSS) that are known to describe our world today. In such complex and dynamic environments, the conventional KDD process is insufficient, and additional processes are required to transform complex data into actionable knowledge.

Название: Mathematics with MATLAB. Graphics and Linear Algebra
Автор: Cesar Perez Lopez
Издательство: Lulu.com
Год: 2021
Страниц: 263
Язык: английский
Формат: pdf, epub
Размер: 10.15 MB

MATLAB is a platform for scientific computing that can work in almost all areas of the experimental sciences and engineering. Logically, this software allows you to work in the field of graphics and linera algebra, featuring some pretty extensive capabilities. The commands that implements MATLAB, about working with graphics and matrix algebra are quite high and very efficient. Matlab functions for working with two-dimensional and three-dimensional graphics, statistical graphs, curves and surfaces in explicit, implicit, parametric and polar coordinates. Additional work perfectly implements the twisted curves, surfaces , meshes , contours , contours, volumes and graphical interpolation. MATLAB allows you to work with ease in the field of Linear Algebra. Its matrix structure facilitates the treatment of matrix algebra, vector and matrix variables and functions, vector spaces, equations and systems, algebraic expressions, polynomials, linear applications, quadratic forms, diagonalization and other typical tasks of linear algebra.

Название: Введение в модель данных SQL
Автор: Кузнецов С.Д.
Издательство: ИНТУИТ
Год: 2021
Cтраниц: 350
Формат: pdf
Размер: 42 мб
Язык: русский

Учебное пособие посвящено описанию базовых средств языка SQL в соответствии со стандартом SQL:2003. Задача состоит в том, чтобы представить язык как специфическую модель данных, происходящую от реляционной модели, но значительно от нее отличающуюся.