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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.

Название: Big Data Transportation Systems
Автор: Guanghui Zhao, Gusheng Zhu
Издательство: World Scientific Publishing
Год: 2021
Формат: PDF
Страниц: 352
Размер: 25 Mb
Язык: English

This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint strategies of big data transportation which include innovative models, planning, transportation logistics, and application case studies. Finally, the book discusses applications of big data transportation platforms.

Название: Cyberspace, Data Analytics, and Policing
Автор: David B. Skillicorn
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 274
Размер: 12,6 MB
Язык: English

Cyberspace is changing the face of crime. For criminals it has become a place for rich collaboration and learning, not just within one country; and a place where new kinds of crimes can be carried out, and a vehicle for committing conventional crimes with unprecedented range, scale, and speed. Law enforcement faces a challenge in keeping up and dealing with this new environment.

Название: Computer Security and Penetration Testing, Second Edition
Автор: Alfred Basta, Nadine Basta, and Mary Brown
Издательство: Cengage Learning
Год: 2014
Страниц: 393
Размер: 23,16 МБ
Формат: PDF
Язык: English

Delivering up-to-the-minute coverage, Computer Security and Penetration Testing, Second Edition offers readers of all backgrounds and experience levels a well-researched and engaging introduction to the fascinating realm of network security. Spotlighting the latest threats and vulnerabilities, this cutting-edge text is packed with real-world examples that showcase today's most important and relevant security topics.

Название: Blockchain and Machine Learning for e-Healthcare Systems
Автор: Edited by Balamurugan Balusamy, Naveen Chilamkurti, Lucia Agnes Beena T and Poongodi T
Издательство: The Institution of Engineering and Technology
Год: 2020
Страниц: 481
Размер: 22,54 МБ
Формат: PDF
Язык: English

Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information.