Название: Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets
Автор: Maria Cristina Mariani, Osei Kofi Tweneboah
Издательство: Wiley
Год: 2022
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Data Science in Theory and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most commonly used and fundamental mathematical and statistical concepts that form the basis of data science. The authors go on to analyze various data transformation techniques useful for extracting information from raw data, long memory behavior, and predictive modeling.

Название: Learning the vi and Vim Editors, Eighth Edition (7th Early Release)
Автор: Arnold Robbins and Elbert Hannah
Издательство: O’Reilly Media
Год: 2020-08-06, 2021-10-01
Формат: epub/pdf(conv.)
Размер: 10 Mb, 10.4 Mb
Язык: English

vi and its derivatives are perhaps the most important family of text editors in the programming community. With this updated guide, Unix and Linux users will learn text editing basics for both vi and Vim ("vi improved") before moving onto advanced editing tools for each editor. Authors Elbert Hannah and Arnold Robbins cover the latest major releases of Vim, including 7.4, 8.0, and 8.2.

Название: Statistical Foundations, Reasoning and Inference: For Science and Data Science
Автор: Goran Kauermann, Helmut Kuchenhoff, Christian Heumann
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 361
Размер: 10,8 Mb
Язык: English

This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design.

Название: Efficient Linux at the Command Line: Boost Your Command-Line Skills (Early Release)
Автор: Daniel J. Barrett
Издательство: O’Reilly Media, Inc.
Год: 2021-09-20
Язык: английский
Формат: epub
Размер: 10.1 MB

Want to increase your Linux productivity to get more done in less time? This practical book teaches you how to be quick and efficient at the Linux command line. You'll learn to create and run complex commands that solve real business problems, organize your files for quick access, efficiently process and retrieve information, and automate manual tasks. You'll truly understand what happens behind the shell prompt. Efficient Linux at the Command Line teaches general best practices and the concepts behind them, so no matter which Linux tools you use, you can become more effective in your daily work and more competitive in the job market. This book will take your Linux command-line skills to the next level, so you can work faster, smarter, and more efficiently.

Название: Распределенные данные. Алгоритмы работы современных систем хранения информации
Автор: Петров Алекс
Издательство: СПб.: Питер
Год: 2021
Формат: pdf, epub
Страниц: 336
Размер: 11 mb
Язык: Русский

Когда дело доходит до выбора, использования и обслуживания базы данных, важно понимать ее внутреннее устройство. Как разобраться в огромном море доступных сегодня распределенных баз данных и инструментов? На что они способны? Чем различаются? Алекс Петров знакомит нас с концепциями, лежащими в основе внутренних механизмов современных баз данных и хранилищ.

Название: Big Data and Hadoop: Learn by example
Автор: Mayank Bhushan
Издательство: BPB Publications
Год: 2020
Страниц: 721
Язык: английский
Формат: pdf, epub
Размер: 17.1 MB

The book contains the latest trend in IT industry ‘Big Data and Hadoop’. It explain about how big is ‘Big Data’ and why everybody is trying to implement this into their IT project. It includes research work of various topics, theoretical and practical approach, each component of the architecture is described along with current industry trends. Big Data and Hadoop taken together are a new skill as per the industry standards. Readers will get a compact book along with the industry experience, and would be a reference to help readers.

Название: Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation
Автор: Florin Pop, Gabriel Neagu
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 300
Размер: 10 Mb
Язык: English

This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation.
The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge.

Название: Exam Ref MD-100 Windows 10, 2nd Edition
Автор: Andrew Bettany, Andrew Warren
Издательство: Pearson Education
Год: 2022
Формат: ePUB
Страниц: 448
Размер: 29,6 Mb
Язык: English

Prepare for the updated version of Microsoft Exam MD-100—and help demonstrate your real-world mastery of skills and knowledge required to deploy, configure, and maintain Windows 10 devices and technologies in an enterprise environment. Designed for Windows Administrators, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level.

Название: Exploring Data with Access 2019
Автор: Larry Rockoff
Издательство: Deep Dive Press
Год: 2020
Страниц: 416
Язык: английский
Формат: pdf, epub
Размер: 60.5 MB

Exploring Data with Access 2019 is an introduction to Access with an emphasis on topics relevant to data exploration and analysis. The goal is to help the analyst gain a true understanding of data and the information it contains. Access queries are covered in detail, both in terms of the mechanics of their design and how they can be used for typical data analysis tasks. The book is written in an easy-to-understand tutorial style, with new topics introduced in a logical and intuitive sequence. Numerous screenshots are included, so you won't need to sit with a a computer as you read the book.

Название: Exploring Data with Excel 2019
Автор: Larry Rockoff
Издательство: Deep Dive Press
Год: 2020
Страниц: 491
Язык: английский
Формат: pdf, epub
Размер: 15.8 MB

The purpose of this book is to help the beginning Excel user move beyond the basics and become more comfortable with some of Excel’s more complex features. The focus is on using Excel as a data analysis tool. The full realm of Excel features is considered. Besides the commonly used tactic of entering numbers and formulas in cells, special emphasis is given to the use of Excel tables, charts, pivot tables, and pivot charts. This book also emphasizes procedures that allow you to interact with external data, whether that is with text files or an entire corporate database.