Название: Interactive Reports in SAS Visual Analytics
Автор: Nicole Ball
Издательство: SAS Institute
Год: 2021
Страниц: 230
Язык: английский
Формат: epub
Размер: 10.1 MB

This book contains a variety of examples that enable you to create interactive reports in SAS Visual Analytics using advanced features and customization. You can create interactive links to external websites, use parameters to give the viewer more control over the report, create and add custom graphs and third-party visualizations, execute SAS code using SAS Viya jobs, and even embed report content in your own web pages and apps. This book does not discuss basic functionality in SAS Visual Analytics, like how to create reports, use report objects, apply filters, or add basic actions or links. It is intended for users that are already familiar with both basic and advanced functionalities in SAS Visual Analytics and want to create more advanced interactive reports that enable viewers to exert more control over their report-viewing experience.

Название: Smart Log Data Analytics: Techniques for Advanced Security Analysis
Автор: Florian Skopik, Markus Wurzenberger, Max Landauer
Издательство: Springer
Год: 2021
Страниц: 210
Язык: английский
Формат: pdf (true), epub
Размер: 20.6 MB

Prudent event monitoring and logging are the only means that allow system operators and security teams to truly understand how complex systems are utilized. Log data are essential to detect intrusion attempts in real time or forensically work through previous incidents to create a vital understanding of what has happened in the past. This book provides insights into smart ways of computer log data analysis, with the goal of spotting adversarial actions. It is organized into 3 major parts with a total of 8 chapters that include a detailed view on existing solutions, as well as novel techniques that go far beyond state of the art. The first part of this book motivates the entire topic and highlights major challenges, trends and design criteria for log data analysis approaches, and further surveys and compares the state of the art.

Название: Data through Movement: Designing Embodied Human-Data Interaction for Informal Learning
Автор: Francesco Cafaro, Jessica Roberts
Издательство: Morgan & Claypool
Серия: Synthesis Lectures on Visualization
Год: 2021
Страниц: 127
Язык: английский
Формат: pdf (true)
Размер: 45.2 MB

When you picture human-data interactions (HDI), what comes to mind? The datafication of modern life, along with open data initiatives advocating for transparency and access to current and historical datasets, has fundamentally transformed when, where, and how people encounter data. People now rely on data to make decisions, understand current events, and interpret the world. We frequently employ graphs, maps, and other spatialized forms to aid data interpretation, yet the familiarity of these displays causes us to forget that even basic representations are complex, challenging inscriptions and are not neutral; they are based on representational choices that impact how and what they communicate. This book draws on frameworks from the learning sciences, visualization, and human-computer interaction to explore embodied HDI.

Название: Androids: The Team That Built the Android Operating System
Автор: Chet Haase
Издательство: Chet Haase
Год: 2021
Формат: ePUB
Страниц: 412
Размер: 10 Mb
Язык: English

In 2004, Android was two people who wanted to build camera software. But they couldn't get investors interested. Today, Android is a large team at Google, shipping an operating system (including camera software) to over three billion devices worldwide.
This is the inside story, told by the people who made it happen.
“What are the essential ingredients that lead a small team to build software at the sheer scale and impact of Android? We may never fully know, but this first person account is probably the closest set of clues we have.”

Название: Big Data and Social Science: Data Science Methods and Tools for Research and Practice, 2nd Edition
Автор: Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 413
Размер: 26,4 Mb
Язык: English

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations.

Название: Quantile Regression: Applications on Experimental and Cross Section Data using EViews
Автор: I. Gusti Ngurah Agung
Издательство: Wiley
Год: 2021
Формат: EPUB, PDF
Размер: 67 Мб
Язык: английский / English

A thorough presentation of Quantile Regression designed to help readers obtain richer information from data analyses. The conditional least-square or mean-regression (MR) analysis is the quantitative research method used to model and analyze the relationships between a dependent variable and one or more independent variables, where each equation estimation of a regression can give only a single regression function or fitted values variable. As an advanced mean regression analysis, each estimation equation of the mean-regression can be used directly to estimate the conditional quantile regression (QR), which can quickly present the statistical results of a set nine QR(τ)s for τ(tau)s from 0.1 up to 0.9 to predict detail distribution of the response or criterion variable. QR is an important analytical tool in many disciplines such as statistics, econometrics, ecology, healthcare, and engineering.

Название: SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
Автор: Renee M. P. Teate
Издательство: Wiley
Год: 2021
Страниц: 291
Язык: английский
Формат: pdf (true), epub
Размер: 13.9 MB, 28.7 MB

Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning. SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls.

Название: Linux Cookbook, 2nd Edition
Автор: Carla Schroder
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 545
Размер: 65,6 Mb, 62 Mb
Язык: English

This handy cookbook teaches new-to-intermediate Linux users the essential skills necessary to manage a home or small business network. The recipes in this book are updated to cover new technologies such as systemctl, firewalld, modern package managers, the Raspberry Pi, and connecting Android and iOS devices to your network. You'll learn how to install, maintain, and troubleshoot a Linux system, add and remove software, manage filesystems, run backups and restores, manage name services, securely connect to remote systems, partition storage devices, build a LAN gateway on Raspberry Pi, and more: all the fundamental tasks you'll need to run and maintain a Linux system.

Название: Data Science For Dummies, 3rd Edition
Автор: Lillian Pierson
Издательство: For Dummies
Год: 2021
Формат: True PDF
Страниц: 435
Размер: 17 Mb
Язык: English

Make smart business decisions with your data by design!
Take a deep dive to understand how developing your data science dogma can drive your business―ya dig? Every phone, tablet, computer, watch, and camera generates data―we’re overwhelmed with the stuff. That’s why it’s become increasingly important that you know how to derive useful insights from the data you have to understand which piece of data in the sea of data is important and which isn’t (trust us: not as scary as it sounds!), and to rely on said data to make critical business decisions. Enter the world of data science: the practice of using scientific methods, processes, and algorithms to gain knowledge and insights from any type of data.

Название: Practical Fraud Prevention: Fraud and AML Analytics for Fintech and eCommerce, using SQL and Python (Second Early Release)
Автор: Gilit Saporta, Shoshanan Maraney
Издательство: O’Reilly Media, Inc.
Год: 2021-06-22
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.16 MB

Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their experience of fraud fighting to provide best practices, methodologies, and tools to help your organization detect and prevent fraud and other malicious activities. Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection analytic methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in the ever-changing fraud landscape.