Название: The Data Protection Officer: Profession, Rules, and Role
Автор: Paul Lambert
Издательство: Auerbach Publications/CRC Press
Год: 2017
Страниц: 394
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The newly created position of the corporate data protection offcer (DPO) is empowered to ensure that the organization is compliant with all aspects of the new data protection regime. Organizations must now appoint and designate a DPO for the organization. The specific definitions and building blocks of the data protection regime are enhanced by the new General Data Protection Regulation and therefore the DPO will be very active in passing the message and requirements of the new data protection regime throughout the organization. This book explains the roles and responsiblies of the DPO, as well as highlights the potential cost of getting data protection wrong.

Название: Running ESXi on a Raspberry Pi Installing VMware ESXi on Raspberry Pi 4 to run Linux virtual machines
Автор: Thomas Fenton, Patrick Kennedy
Издательство: Apress
Год: 2022
Страниц: 391
Язык: английский
Формат: pdf (true)
Размер: 26.8 MB

Gain foundational knowledge of ESXi technology and understand why it is such a dominant force in the datacenter. This book also looks beyond ESXi to other vSphere technologies, such as virtual machines (VMs), vMotion, and vCenter Server. Knowing how these technologies complement ESXi running on a Raspberry Pi will help you get the most out of ESXi on Arm technologies. This marks a significant change for ESXi, and has created new learning opportunities and use cases for both seasoned ESXi users and users completely new to the virtualization space. For those already familiar with ESXi but new to the Raspberry Pi, you’ll develop an in-depth understanding of this device and why it has become such a popular platform for technologists.

Название: Risk Analytics: From Concept to Deployment, 2nd Edition
Автор: Edward H K Ng
Издательство: World Scientific Publishing
Год: 2022
Страниц: 243
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book is written to empower risk professionals to turn analytics and models into deployable solutions with minimal IT intervention. Corporations, especially financial institutions, must show evidence of having quantified credit, market and operational risks. They have databases but automating the process to translate data into risk parameters remains a desire. Modelling is done using software with output codes not readily processed by databases. Readers will no doubt benefit tremendously in understanding the framework and processes involved in data warehousing and management, and the deployment of coding languages such as R, Python and SQL. Beyond just theories and concepts, readers will learn how to create solutions that can support planning and automated decision-making.

Название: Physics of Data Science and Machine Learning
Автор: Ijaz A. Rauf
Издательство: CRC Press
Год: 2022
Страниц: 211
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Physics of Data Science and Machine Learning links fundamental concepts of physics to Data Science, Machine Learning and Artificial Intelligence for physicists looking to integrate these techniques into their work. This book is written explicitly for physicists, marrying quantum and statistical mechanics with modern data mining, Data Science, and Machine Learning. It also explains how to integrate these techniques into the design of experiments, whilst exploring neural networks and Machine Learning building on fundamental concepts of statistical and quantum mechanics. This book is a self-learning tool for physicists looking to learn how to utilize data science and Machine Learning in their research. It will also be of interest to computer scientists and applied mathematicians, alongside graduate students looking to understand the basic concepts and foundations of Data Science, Machine Learning, and Artificial Intelligence.

Название: Discriminating dаta: Correlation, Neighborhoods, and the New Politics of Recognition
Автор: Wendy Hui Kyong Chun, Alex Barnett
Издательство: The MIT Press
Год: 2021
Страниц: 344
Язык: английский
Формат: epub
Размер: 10.1 MB

How Big Data and Machine Learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within Big Data and Machine Learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds Big Data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future.

Название: SQL для чайников, 9-е издание
Автор: Аллен Тейлор
Издательство: Диалектика
Год: 2020
Страниц: 546
Язык: русский
Формат: pdf
Размер: 52.1 MB

Перед вами новейшее издание бестселлера, посвященное последней версии стандарта SQL. Здесь вы найдете информацию о том, как эффективно применять SQL для построения реляционных баз данных. Вы узнаете, как проектировать и защищать базы данных, а также извлекать из них всю необходимую информацию. В эпоху больших данных крайне важно иметь под рукой простое и доступное руководство по работе с информационными ресурсами.

Название: Data Driven Decision Making using Analytics (Computational Intelligence Techniques)
Автор: Edited By Parul Gandhi, Surbhi Bhatia, Kapal Dev
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 150
Размер: 11.6 Mb
Язык: English

This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining.

Название: Master Your Data with Power Query in Excel and Power BI: Leveraging Power Query to Get & Transform Your Task Flow, 2nd Edition
Автор: Miguel Escobar
Издательство: Holy Macro! Books
Год: 2021
Страниц: 386
Язык: английский
Формат: pdf (true), epub
Размер: 33.5 MB

Power Query is the amazing new data cleansing tool in both Excel and Power BI Desktop. Do you find yourself performing the same data cleansing steps day after day? Power Query will make it faster to clean your data the first time. While Power Query is powerful, the interface is subtle—there are tools hiding in plain sight that are easy to miss. Go beyond the obvious and take Power Query to new levels with this book.

Название: Программирование командных оболочек в Unix, Linux и OS X, 4-е издание
Автор: Стефан Кочан, Патрик Вуд
Издательство: Диалектика
Год: 2017
Страниц: 434
Язык: русский
Формат: pdf
Размер: 16,7 MB

Это полностью обновленное издание классического пособия по программированию командных оболочек в системах Unix. Следуя методике изложения материала, принятой в первоначальном издании, авторы книги уделили основное внимание стандартной оболочке POSIX, поясняя особенности разработки полезных программ в этой удобной среде, чтобы извлечь максимальную пользу из потенциала, заложенного в основу Unix и подобных ей операционных систем. После краткого обзора команд Unix в книге подробно рассматривается поэтапный процесс создания программ или сценариев оболочки, их отладки и особенностей их работы в среде оболочки. Все основные средства оболочки поясняются на многих практических примерах, что упрощает написание сценариев оболочки для конкретного применения. В книге описываются также основные средства оболочек Korn и Bash.

Название: Periodic Pattern Mining: Theory, Algorithms, and Applications
Автор: R. Uday Kiran, Philippe Fournier-Viger
Издательство: Springer
Год: 2021
Страниц: 263
Язык: английский
Формат: pdf (true), epub
Размер: 38.7 MB

This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases. One of the major applications of periodic pattern mining is the analysis of customer transaction databases to discover sets of items that have been regularly purchased by customers. Discovering such patterns has several implications for understanding the behavior of customers. Since the first work on periodic pattern mining, numerous studies have been published and great advances have been made in this field. The book consists of three main parts: introduction, algorithms, and applications.