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Название: MOS Study Guide for Microsoft Word Exam MO-100
Автор: Joan Lambert
Издательство: Microsoft Press
Год: 2020
Страниц: 208
Язык: английский
Формат: epub
Размер: 14.9 MB

Advance your proficiency with Word. And earn the credential that proves it! Demonstrate your expertise with Microsoft Word! Designed to help you practice and prepare for Microsoft Office Specialist: Word Associate (Word and Word 2019) certification, this official Study Guide delivers:
In-depth preparation for each MOS objective; Detailed procedures to help build the skills measured by the exam; Hands-on tasks to practice what you’ve learned; Ready-made practice files

Название: Data Structures
Автор: Kaivan Shah
Издательство: Ques10
Год: 2020
Формат: azw3/rtf/pdf(conv.)
Размер: 10 Mb
Язык: English

Table of Contents
Introduction to Data Structures
Stack and Queues
Linked List...

Название: Data Analytics: Models and Algorithms for Intelligent Data Analysis, 3rd Edition
Автор: Runkler, Thomas A.
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 167
Размер: 13.2 Mb
Язык: English

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.

Название: Data Analytics: A Comprehensive Beginner’s Guide To Learn About The Realms Of Data Analytics From A-Z
Автор: Benjamin Smith
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 103
Язык: английский
Формат: pdf, azw3
Размер: 10.1 MB

Advancement in technology and the resulting shifts in everyday practice have brought about a fast-growing "parallel world" with new material, new data, and new sources. Irrespective of how anyone describes it, the data trend is becoming increasingly real, increasingly prevalent, and far more significant. Collating and gathering data is one thing while processing it is an entirely separate issue. It is not something that can be accomplished carelessly by merely staring at the data. If you are hoping to derive reasonable insights from the data generated, you must understand the data you are gathering, the approaches that are required, and the appropriate techniques to use when analyzing this data. How exactly can all this be achieved – well, this is exactly where this book comes in. The book presents the A-Z on the realms of data analytics.

Название: Microsoft Windows 7. Руководство администратора
Автор: Чекмарев А.Н.
Издательство: СПб.: БХВ-Петербург
Год: 2010
Cтраниц: 884
Формат: pdf
Размер: 63 мб
Язык: русский

Руководство по операционной системе Microsoft Windows 7 ориентировано на опытных пользователей и сетевых администраторов. Раскрыты многочисленные возможности всех редакций Windows 7, подробно рассмотрены все аспекты использования системы: от установки до способов восстановления.

Название: Statistical Analysis of Financial dаta: With Examples In R (Chapman & Hall/CRC Texts in Statistical Science)
Автор: James Gentle
Издательство: CRC Press
Год: 2020
Формат: true pdf/epub
Страниц: 664
Размер: 21.3 Mb
Язык: English

Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illustrate the nature of financial data. The software used to obtain the data for the examples in the first chapter and for all computations and to produce the graphs is R. However discussion of R is deferred to an appendix to the first chapter, where the basics of R, especially those most relevant in financial applications, are presented and illustrated.

Название: Machine Learning for Text
Автор: Charu C. Aggarwal
Издательство: Springer
Год: 2018
ISBN: 9783319735313
Формат: epub, pdf
Страниц: XXIII, 493
Размер: 12,1 mb
Язык: English

The first textbook to cover machine learning of text in a holistic way, which includes aspects of mining, language modeling, and deep learning

Название: Ubuntu 20.04 User Guide
Автор: Henry Weidman
Издательство: Weidman Enterprises LLC
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 222
Размер: 16.5 Mb
Язык: English

This guide will show you how to install, configure, use and maintain Ubuntu 20.04. Everything the average user needs to know, and more, is covered. You will even be shown how to create your own custom software. Many tips and tricks with regard to customizing Ubuntu 20.04 are included in this book including how to create software to enable or disable your laptop touchpad, how to remap your Caps Lock key, how to backup and restore your hard drive, and how to use Linux commands.

Название: Tableau for Beginner: Data Analysis and Visualization 101
Автор: Nurul Haszeli Ahmad
Издательство: Tableau Public
Год: Feb 2020
Формат: True PDF
Страниц: 182
Размер: 29.8 Mb
Язык: English

A manual for new and beginner users in Tableau to learn and familiarize with Tableau Software to develop creative reports and dashboards. It is written in the simplest way to ensure the reader able to grasp the steps and practice effectively.

Название: BPF Performance Tools: Linux System and Application Observability
Автор: Brendan Gregg
Издательство: Addison-Wesley Professional
Год: 2019
Страниц: 880
Язык: английский
Формат: True PDF; epub, pdf (conv)
Размер: 10.1 MB, 51.8 MB

BPF и соответствующие инструменты наблюдения обеспечивают профессионалам программного обеспечения беспрецедентный обзор программного обеспечения, помогая им анализировать производительность операционной системы и приложений, устранять неполадки кода и повышать безопасность. "BPF Performance Tools: наблюдаемость системы и приложений Linux" - наиболее полное в отрасли руководство по использованию этих инструментов для наблюдаемости. Брендан Грегг, автор отраслевого руководства по производительности системы, представляет новые мощные методы и инструменты для проведения анализа, которые ведут к созданию более надежного, надежного и безопасного кода.