Название: Microsoft Project 2019. Шаг за шагом
Автор: Льюис С., Четфилд К., Джонсон Т.
Издательство: ДMK
Год: 2021
Cтраниц: 570, ил.
Формат: pdf
Размер: 43 мб
Язык: русский

Учиться стало еще проще. Повысьте эффективность работы с помощью Microsoft Project 2019. Переходите в нужный вам раздел в поисках ответов – наглядные уроки и информативные скриншоты покажут вам, что именно нужно делать.

Название: Архитектура компьютера
Автор: Догадин Н. Б.
Издательство: Лаборатория знаний
Год: 2020
Cтраниц: 274
Формат: pdf
Размер: 19 мб
Язык: русский

В книге изложены базовые сведения о конструкции, принципах работы и применения основных и периферийных компонентов современного персонального компьютера. Для студентов специальности «Информатика» педагогических вузов.

Название: Handbook of Mobility Data Mining, Volume 3: Mobility Data-Driven Applications
Автор: Haoran Zhang
Издательство: Elsevier
Год: 2023
Страниц: 244
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile Big Data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile Big Data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. Volume 3: Mobility Data-driven Applications looks at various case studies to illustrate and explore the methods introduced in the first two volumes. It begins with a set of chapters on intelligent transportation management, using cases of bicycle-sharing, ride-hailing, travel time prediction, railway usage analysis, mobility data-driven service, and dynamic road pricing. It concludes with chapters on urban sustainability development, including road emission and living environment inequity analysis.

Название: Handbook of Mobility Data Mining, Volume 2: Mobility Analytics and Prediction
Автор: Haoran Zhang
Издательство: Elsevier
Год: 2023
Страниц: 212
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile Big Data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. Volume 2: Mobility Analytics and Prediction provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, it then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, grid-based population density prediction, and more. It concludes with a chapter on graph-based mobility data analytics.

Название: Handbook of Mobility Data Mining, Volume 1: Data Preprocessing and Visualization
Автор: Haoran Zhang
Издательство: Elsevier
Год: 2023
Страниц: 224
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile Big Data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile Big Data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. This volume focuses on how to efficiently pre-process mobile Big Data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile Big Data mining.

Название: Statistical Analytics for Health Data Science with SAS and R
Автор: Jeffrey R. Wilson, Ding-Geng Chen, Karl E. Peace
Издательство: CRC Press
Год: 2023
Страниц: 280
Язык: английский
Формат: pdf (true)
Размер: 10.29 MB

This book is aimed to compile typical fundamental to advanced statistical methods to be used for health data sciences. This book promotes the applications to health and health-related data. However, the models in this book can be used to analyse any kind of data. The data are analysed with the commonly used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and computing programs will be available to facilitate readers' learning experience. There has been considerable attention to making statistical methods and analytics available to health data science researchers and students. This book brings it all together to provide a concise point-of-reference for most commonly used statistical methods from the fundamental level to the advanced level.

Название: Data Science and Analytics Strategy: An Emergent Design Approach
Автор: Kailash Awati, Alexander Scriven
Издательство: CRC Press
Серия: Data Science Series
Год: 2023
Страниц: 231
Язык: английский
Формат: pdf (true)
Размер: 13.8 MB

This book describes how to establish Data Science and analytics capabilities in organisations using Emergent Design , an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment. Based on their experiences and those of a number of data leaders, the authors provide actionable advice on data technologies, processes, and governance structures so that readers can make choices that are appropriate to their organisational contexts and requirements. Before beginning any discussion of the what, how, and why of Data Science, it is necessary to set the scene for where it sits within traditional data- related functions. Data Science itself is not new; many old and well- established analytical techniques have been rebranded as Data Science or Machine Learning (ML) techniques. Be that as it may, there is a general perception that when problems become sufficiently complicated or difficult (both, indeed, quite subjective terms), it is appropriate to label what is being done as being advanced and thus worthy of being called Data Science. This is why we will avoid defining the term and instead discuss what data scientists do, where Data Science fits into the modern organisational landscape, and the elements that are needed in order to do Data Science. In this book we will use the term data analytics stack to describe both the functional and technical elements that are required for Data Science.

Название: Введение в Oracle SQL
Автор: Пржиялковский В.В.
Издательство: ИНТУИТ
Год: 2022
Cтраниц: 335
Формат: pdf
Размер: 23 мб
Язык: русский

В учебном пособии представлены основные сведения о диалекте SQL, предлагаемом фирмой Oracle для работы с базами данных своего типа. Рассматриваются конструкции языка, касающиеся работы с моделью предметной области и имеющие технологический характер.

Название: Introduction to Environmental Data Science
Автор: Jerry D. Davis
Издательство: CRC Press
Серия: Data Science Series
Год: 2023
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 75.7 MB

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication. Introduction to Environmental Data Science is an ideal textbook to teach undergraduate to graduate level students in environmental science, environmental studies, geography, earth science, and biology, but can also serve as a reference for environmental professionals working in consulting, NGOs, and government agencies at the local, state, federal, and international levels. In the Chapter 2 we’ll introduce the R language, using RStudio to explore its basic data types, structures, functions and programming methods in base R.

Название: Microsoft 365 for Beginners All in One 2023
Автор: Jacob Logic
Издательство: Digital Luminary LLC
Год: 2022
Страниц: 315
Язык: английский
Формат: pdf, epub
Размер: 18.6 MB

The Most Inclusive Guide from Beginner to Experienced | Includes Quick Formulas, Word, Excel, PowerPoint, OneNote, Access, Outlook, OneDrive, and Teams. Most people use only twenty percent of an application’s features the majority of the time. With this book, you can learn how to use those features quickly and easily. Learn to communicate effectively and proficiently in Excel, Word, Outlook, PowerPoint and others without feeling stressed or pressured. What you get with “Microsoft Office 365 for Beginners 2023”? Tricks and tips for getting started with Microsoft Office 365; jump start your comprehension with the suite of apps. Grasp all the fundamentals of each application. A complete guide to mastering every essential command without gaps. Become a pro with Microsoft Office applications using clear step-by-step instructions with clear concise illustrations.