Название: Trusted Data, revised and expanded edition: A New Framework for Identity and Data Sharing
Автор: Thomas Hardjono, David L. Shrier
Издательство: MIT Connection Science & Engineering
Год: 2019
Страниц: 386
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data. Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data.

Название: Big Data Management in Sensing: Applications in AI and IoT
Автор: Renny Fernandez, Terrance Frederick Fernandez
Издательство: River Publishers
Год: 2021
Страниц: 288
Язык: английский
Формат: pdf (true)
Размер: 57.5 MB

The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.

Название: Data Analysis for Business, Economics, and Policy
Автор: Gabor Bekes, Gabor Kezdi
Издательство: Cambridge University Press
Год: 2021
Страниц: 742
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, Machine Learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at site.

Название: Expert Oracle Database Architecture: Techniques and Solutions for High Performance and Productivity, 4th Edition
Автор: Darl Kuhn, Thomas Kyte
Издательство: Apress
Год: 2022
Страниц: 1169
Язык: английский
Формат: pdf (true), epub
Размер: 12.9 MB

Now in its fourth edition and covering Oracle Database 21c, this best-selling book continues to bring you some of the best thinking on how to apply Oracle Database to produce scalable applications that perform well and deliver correct results. Tom Kyte and Darl Kuhn share a simple philosophy: "you can treat Oracle as a black box and just stick data into it, or you can understand how it works and exploit it as a powerful computing environment." If you choose the latter, then you’ll find that there are few information management problems that you cannot solve quickly and elegantly.

Название: High Performance MySQL: Proven Strategies for Operating at Scale, 4th Edition (Third Early Release)
Автор: Silvia Botros, Jeremy Tinley
Издательство: O’Reilly Media, Inc.
Год: 2021-11-12
Страниц: 396
Язык: английский
Формат: epub
Размер: 10.1 MB

How can you realize MySQL's full power? With High Performance MySQL, you'll learn advanced techniques for everything from setting service-level objectives to designing schemas, indexes, and queries to tuning your server, operating system, and hardware to achieve your platform's full potential. This guide also teaches database administrators safe and practical ways to scale applications through replication, load balancing, high availability, and failover. Updated to reflect recent advances in cloud- and self-hosted MySQL, InnoDB performance, and new features and tools, this revised edition helps you design a relational data platform that will scale with your business. You'll learn best practices for database security along with hard earned lessons in both performance and database stability.

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.