Название: Mobile Data Visualization
Автор: Bongshin Lee, Raimund Dachselt, Petra Isenberg
Издательство: CRC Press
Серия: AK Peters Visualization Series
Год: 2022
Страниц: 346
Язык: английский
Формат: pdf (true)
Размер: 151.5 MB

Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices. Wearable trackers, mobile phones, and tablets are used by millions of people each day to read weather maps, financial charts, or personal health meters. What is required to create e­ffective visualizations for mobile devices? This book introduces key concepts of mobile data visualization and discusses opportunities and challenges from both research and practical perspectives. Today, we live in a data-driven world, where Big Data are generated and captured by computing devices and sensors on and around us. Not only experts but also lay individuals have access to large amounts of data.

Название: Mining Complex Networks
Автор: Bogumił Kaminski, Paweł Prałat
Издательство: CRC Press
Год: 2022
Страниц: 278
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book concentrates on mining networks, a subfield within data science. Data science uses scientific and computational tools to extract valuable knowledge from large data sets. Once data is processed and cleaned, it is analyzed and presented to support decision-making processes. Data science and machine learning tools have become widely used in companies of all sizes. Networks are often large-scale, decentralized, and evolve dynamically over time. Mining complex networks aim to understand the principles governing the organization and the behavior of such networks is crucial for a broad range of fields of study. Here are a few selected typical applications of mining networks: Jupiter notebooks (in Python and Julia) accompany the book and can be accessed on site.

Название: Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, Volumes I and II
Автор: Sophia Rabe-Hesketh, Anders Skrondal
Издательство: Stata Press
Год: 2022
Страниц: 1047
Язык: английский
Формат: epub
Размер: 30.2 MB

This book is a complete resource for learning to model data in which observations are grouped-whether nested data such as children nested in schools or repeated observations on the same individuals. Rabe-Hesketh and Skrondal introduce a variety of multilevel models for continuous, binary, count, and other outcomes. They also explain when each model is useful, how to fit and evaluate the model using Stata, and how to interpret the results. With this comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also an excellent text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material.

Название: Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing
Автор: Sujata Dash, Subhendu K. Pani
Издательство: Springer
Серия: Studies in Big Data
Год: 2021
Страниц: 443
Язык: английский
Формат: pdf (true)
Размер: 12.5 MB

The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now the exemplar model for soft computing is the human brain. However, recent advancements in representation soft computing algorithms (fuzzy logic, evolutionary computation, Machine Learning, and probabilistic reasoning) generate a more intelligent and robust system providing a human interpretable, low-cost, approximate solution. Soft computing-based algorithms have demonstrated great performance to a variety of areas including multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, Big Data analytics, time series, biomedical and health informatics, etc. Soft computing approaches such as genetic programming (GP), support vector machine–firefly algorithm (SVM-FFA), artificial neural network (ANN), and support vector machine–wavelet (SVM–Wavelet) have emerged as powerful computational models.

Название: Big Data Hadoop Interview Guide: Get answers to the most frequently asked questions in a Hadoop interview
Автор: Vishwanathan Narayanan
Издательство: BPB Publications
Год: 2021
Страниц: 154
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

A power-packed guide with solutions to crack a Big data Hadoop Interview. This book prepares you for Big data interviews w.r.t. Hadoop system and its ecosystems such as HBase, Pig, Hive, Flume, Sqoop, and Spark. Over the last few years, there is a rise in demand for Big Data Scientists/Analysts throughout the globe. Data Analysis and Interpretation have become very important lately. This book is for anyone interested in big data. It is also useful for all jobseekers and freshers who wants to drive their career in the field of Big Data and Data Processing.

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.