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: 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. Data Science For Dummies provides a comprehensive introduction in that friendly and approachable way you’ve come to know from Dummies. Your new go-to guide breaks down this vast topic into three smaller parts―big data, data science, and data engineering―and then shows you how to combine those areas to produce value and make informed decisions to drive business growth. It’s also filled with real-world examples and applications that you can apply to your situation.
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: Восстанавливаем данные на 100% Автор: Ташков П.А. Издательство: Питер Год: 2010 Cтраниц: 206 Формат: djvu Размер: 10 мб Язык: русский
В книге изложены методы восстановления данных с различных носителей информации — жестких дисков, массивов RAID, CD, DVD, карт flash-памяти, карт фотоаппаратов и мобильных телефонов. Ремонт поврежденного оборудования рассматривается в издании только как один из аспектов всего процесса извлечения данных.
Название: Developing Modern Applications with a Converged Database Автор: Alice LaPlante Издательство: O’Reilly Media Год: 2021 Формат: ePUB, PDF Страниц: 44 Размер: 10 Mb Язык: English
Single-purpose databases were designed to address specific problems and use cases. Given this narrow focus, there are inherent tradeoffs required when trying to accommodate multiple datatypes or workloads in your enterprise environment. The result is data fragmentation that spills over into application development, IT operations, data security, system scalability, and availability.
Название: Artificial Intelligence Applied to Satellite-Based Remote Sensing Data for Earth Observation Автор: Maria Pia Del Rosso, Alessandro Sebastianelli, Silvia Liberata Ullo Издательство: The Institution of Engineering and Technology Год: 2021 Страниц: 300 Язык: английский Формат: True EPUB Размер: 40,4 MB
Earth observation (EO) involves the collection, analysis, and presentation of data in order to monitor and assess the status and changes in natural and built environments. This technology has many applications including weather forecasting, tracking biodiversity, measuring land-use change, monitoring and responding to natural disasters, managing natural resources, monitoring emerging diseases and health risks, and predicting, adapting to and mitigating climate change. This book shows how cutting-edge technologies such as Artificial Intelligence (AI), including neural networks and Deep Learning (DL), can be applied for processing satellite data for Earth observation. One of the objectives of this book is to explain how to develop a set of libraries for the implementation of Artificial Intelligence that could overcome some limits and encompass different aspects of research, ranging from data fusion to speckle filtering.
Название: Data Modeling with SAP BW/4HANA 2.0 Автор: Konrad Zaleski Издательство: Apress Год: 2021 Формат: PDF Страниц: 279 Размер: 13,7 Mb Язык: English
Gain practical guidance for implementing data models on the SAP BW/4HANA platform using modern modeling concepts. You will walk through the various modeling scenarios such as exposing HANA tables and views through BW/4HANA, creating virtual and hybrid data models, and integrating SAP and non-SAP data into a single data model.