Название: Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 Автор: Kavita Taneja, Harmunish Taneja, Kuldeep Kumar Издательство: CRC Press Год: 2022 Страниц: 385 Язык: английский Формат: pdf (true) Размер: 24.6 MB
Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.
Название: Managing Data Quality: A practical guide Автор: Tim King, Julian Schwarzenbach Издательство: BCS, The Chartered Institute for IT Год: 2020 Страниц: 161 Язык: английский Формат: pdf (true), epub Размер: 13.6 MB
Data is an increasingly important business asset and enabler for organisational activities. Data quality is a key aspect of data management and failure to understand it increases organisational risk and decreases efficiency and profitability. This book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61.
Название: Entrepreneurship and Big dаta: The Digital Revolution Автор: Meghna Chhabra, Rohail Hassan Издательство: CRC Press Серия: Big Data for Industry 4.0 Год: 2022 Страниц: 301 Язык: английский Формат: pdf (true) Размер: 15.6 MB
The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation.
Название: Statistics for Managers Using Microsoft Excel, 9th Edition, Global Edition Автор: David M. Levine, David F. Stephan, Kathryn A. Szabat Издательство: Pearson Год: 2021 Формат: PDF Страниц: 753 Размер: 29 Mb Язык: English
Statistics for Managers Using Microsoft® Excel®, 9th Edition, Global Edition helps students develop the knowledge of Excel needed in future careers. The authors present statistics in the context of specific business fields, and now include a full chapter on business analytics. Guided by principles set forth by ASA’s Guidelines for Assessment and Instruction (GAISE) reports and the authors’ diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. Current data throughout gives students valuable practice analysing the types of data they will see in their professions, and the authors’ friendly writing style includes tips and learning aids throughout.
Название: Presto: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment Автор: Matt Fuller, Manfred Moser, Martin Traverso Издательство: O’Reilly Media Год: 2020 Формат: True PDF, ePUB Страниц: 310 Размер: 10 Mb Язык: English
Perform fast interactive analytics against different data sources using the Presto high-performance, distributed SQL query engine. With this practical guide, you’ll learn how to conduct analytics on data where it lives, whether it’s Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Presto.
Initially developed by Facebook, open source Presto is now used by Netflix, Airbnb, LinkedIn, Twitter, Uber, and many other companies. Matt Fuller, Manfred Moser, and Martin Traverso from Starburst show you how a single Presto query can combine data from multiple sources to allow for analytics across your entire organization.
Название: A Step-By-Step Guide to Exploratory Factor Analysis with Stata Автор: Marley W. Watkins Издательство: Routledge Год: 2022 Страниц: 209 Язык: английский Формат: pdf (true) Размер: 43.3 MB
This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata code and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. There are many software packages that can be used to conduct exploratory factor analysis (EFA). SPSS, SAS, and Stata are the most popular commercial packages. A review of statistical software used in academic articles found that SPSS was cited most frequently, followed by R, SAS, and Stata. Stata is frequently licensed by colleges and universities so it is widely available to faculty and students. Stata is also accessible via group license and for single users in business, government, and education.
Название: Fundamentals of Data Science Автор: Sanjeev J. Wagh, Manisha S. Bhende, Anuradha D. Thakare Издательство: CRC Press Год: 2022 Страниц: 297 Язык: английский Формат: pdf (true) Размер: 10.1 MB
Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes. Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue.
Название: Data Science and Data Analytics: Opportunities and Challenges Автор: Amit Kumar Tyagi Издательство: CRC Press Год: 2022 Формат: PDF Страниц: 483 Размер: 54 Mb Язык: English
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms, data science is the discovery of data or uncovering hidden patterns (such as complex behaviors, trends, and inferences) from data. Moreover, Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools, such as Hadoop, R, etc., are used to analyze this large amount of data to predict valuable information and for decision-making. Note that structured data can be easily analyzed by efficient (available) business intelligence tools, while most of the data (80% of data by 2020) is in an unstructured form that requires advanced analytics tools. But while analyzing this data, we face several concerns, such as complexity, scalability, privacy leaks, and trust issues.
Название: Privacy and Data Protection in Software Services Автор: Roberto Senigaglia, Claudia Irti Издательство: Springer Год: 2022 Страниц: 220 Язык: английский Формат: pdf (true) Размер: 10.1 MB
Discusses developing privacy-compliant software products from the very beginning. The aim of the book is to create a bridge between two ‘lands’ that are usually kept separate: technical tools and legal rules should be bound together for moulding a special ‘toolbox’ to solve present and future issues. The volume is intended to contribute to this ‘toolbox’ in the area of software services, while addressing how to make legal studies work closely with engineers’ and computer scientists’ fields of expertise, who are increasingly involved in tangled choices on daily programming and software development. In this respect, law has not lost its importance and its own categories in the digital world, but as well as any social science needs to experience a new realistic approach amid technological development and individuals’ fundamental rights and freedoms.
Название: Mastering Linux System Administration Автор: Christine Bresnahan, Richard Blum Издательство: Sybex Год: 2021 Страниц: 579 Язык: английский Формат: pdf (true), epub Размер: 10.9 MB, 13.0 MB
Achieve Linux system administration mastery with time-tested and proven techniques. In Mastering Linux System Administration, Linux experts and system administrators Christine Bresnahan and Richard Blum deliver a comprehensive roadmap to go from Linux beginner to expert Linux system administrator with a learning-by-doing approach. Organized by do-it-yourself tasks, the book includes instructor materials like a sample syllabus, additional review questions, and slide decks.