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Название: Recent Trends in Data Science and Soft Computing
Автор: Editors Faisal Saeed, Nadhmi Gazem, Fathey Mohammed, Abdelsalam Busalim
Издательство: Springer
Год: 2019
Страниц: 1133
Размер: 106.04 МБ
Формат: PDF
Язык: English

This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.”

Название: Data Analytics and Management: Proceedings of ICDAM
Автор: Editors Ashish Khanna, Deepak Gupta, Zdzislaw Polkowski, Siddhartha Bhattacharyya, Oscar Castillo
Издательство: Springer
Год: 2021
Страниц: 920
Размер: 36.47 МБ
Формат: PDF
Язык: English

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2020), held at Jan Wyzykowski University, Poland, during June 2020. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

Название: Microsoft Excel Functions Quick Reference: For High-Quality Data Analysis, Dashboards, and More
Автор: Mandeep Mehta
Издательство: Apress
Год: 2021
Формат: PDF, EPUB
Страниц: 284
Размер: 10 Mb
Язык: English

This condensed syntax reference presents the essential Excel function syntax in a well-organized format that can be used as a quick and handy reference. You can use it to improve your Excel knowledge and increase your productivity. It will help you upgrade the quality of your data analysis, dashboards, models, and templates.

Название: Data Science and Analytics with Python
Автор: Jesus Rogel-Salazar
Издательство: Chapman and Hall/CRC
Год: 2017
ISBN: 9781498742092
Серия: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Формат: pdf
Страниц: 400
Размер: 32 mb
Язык: English

Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data science using tools developed in Python, such as SciKit-learn, Pandas, Numpy, and others. The use of Python is of particular interest, given its recent popularity in the data science community. The book can be used by seasoned programmers and newcomers alike.

Название: Data Architecture: A Primer for the Data Scientist Second Edition
Автор: W. H. Inmon, Daniel Linstedt, Mary Levins
Издательство: Academic Press
Год: 2019
Формат: True PDF
Страниц: 431
Размер: 54.5 Mb
Язык: English

Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things.

Название: Основы Big Data. Концепции, алгоритмы и технологии
Автор: Томас Эрл
Издательство: Баланс Бизнес Букс
Год: 2018
Страниц: 328
Язык: русский
Формат: djvu
Размер: 25,5 MB

«Основы больших данных» обеспечивают прагматичное и серьезное введение в область больших данных. Популярный ИТ-автор Томас Эрл и его команда четко объясняют ключевые концепции, теорию и терминологию Big Data, а также фундаментальные технологии и методы. Весь охват материала книги поддерживается примерами из практики и многочисленными простыми диаграммами.

Название: Handbook Certified Data Protection Officer: Practical Work Plan Guidance
Автор: Romeo Kadir
Издательство: EIPACC
Год: 2021
Формат: epub/pdf(conv.)
Страниц: 445
Размер: 50 Mb
Язык: English

This handbook provides practical guidance for the (junior, medior and senior) Data Protection Officer (DPO) to assemble a work plan as per applicable EU GDPR guidelines. At present EU's GDPR is largely recognized as a gold standard all over the world, also for the ever-growing community of DPOs as per national legislations.

Название: Windows 10 Made Easy: Take Control of Your PC, Third Edition
Автор: James Bernstein
Издательство: n.a.
Год: 2021
Формат: PDF
Страниц: 204
Размер: 12.56 МБ
Язык: English

These days everyone has a desktop computer, laptop, or at least a device such as a smartphone or tablet that they use to go online, send emails, and so on. And for the people who use a personal computer at home or at work then there is a very good chance that it is running Microsoft Windows. And if it’s a newer computer then there is a very good chance its running Windows 10 since new or has been upgraded to Windows 10 from Windows 7 or Windows 8.

Название: Information for Efficient Decision Making: Big Data, Blockchain and Relevance
Автор: Edited by: Kashi R Balachandran
Издательство: World Scientific Publishing
Год: 2021
Формат: PDF
Страниц: 715
Размер: 22.52 МБ
Язык: English

Can there be reliable information that is also relevant to decision making? Information for Efficient Decision Making: Big Data, Blockchain and Relevance focuses on the consolidation of information to facilitate making decisions in firms, in order to make their operations efficient to reduce their costs and consequently, increase their profitability. The advent of blockchain has generated great interest as an alternative to centralized organizations, where the data is gathered through a centralized ledger keeping of activities of the firm.

Название: Представление и обработка информации в реляционных базах данных
Автор: Сажин В.И., Конецкая Е.В.
Издательство: Иркутск: ИГУ
Год: 2014
ISBN: 978-5-9624-1067-8
Формат: pdf
Страниц: 139
Размер: 18,5 Мб
Язык: Русский

Рассмотрены вопросы проектирования баз данных, включающие в себя структурирование исходной информации, логическую структуру представления данных, методы поиска отдельных данных, а также способы оценки потенциального объема базы данных на основе использования абсолютной меры количества информации.