Название: The New Quantum Era: An Outsider’s Introduction (Final Release)
Автор: Sebastian Hassinger
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 131
Язык: английский
Формат: epub
Размер: 10.1 MB

Quantum computing and associated technologies and ideas seem to be everywhere today, even in blockbuster movies. As a field, quantum information science only goes back a few decades, but it's generating outsize excitement and investment in the 21st century. There's reason for the enthusiasm, but we're still a long way from being able to build and use these exotic machines. In this book, author Sebastian Hassinger guides you through the foundational ideas of quantum computing, providing insight into where it came from, what it is today, and what it may be in the future. Grounded in information science and quantum mechanics with straightforward explorations of the technology's crucial concepts and elements, this book demystifies the field and helps you develop your quantum intuition, making it easier to learn and use the technologies available on the cloud today.

Название: Federated Learning: From Algorithms to System Implementation
Автор: Liefeng Bo, Heng Huang, Songxiang Gu, Yanqing Chen
Издательство: World Scientific Publishing
Год: 2025
Страниц: 546
Язык: английский
Формат: pdf (true)
Размер: 24.9 MB

Authored by researchers and practitioners who build cutting-edge Federated Learning (FL) applications to solve real-world problems, this book covers the spectrum of Federated Learning technology from concepts and application scenarios to advanced algorithms and finally system implementation in three parts. It provides a comprehensive review and summary of Federated Learning technology, as well as presenting numerous novel Federated Learning algorithms which no other books have summarized. The work also references the most recent papers, articles and reviews from the past several years to keep pace with the academic and industrial state of the art of Federated Learning. The first part lays a foundational understanding of Federated Learning by going through its definition and characteristics, and also possible application scenarios and related privacy protection technologies. The second part elaborates on some of the Federated Learning algorithms innovated by JD Technology which encompass both vertical and horizontal scenarios, including vertical federated tree models, linear regression, kernel learning, asynchronous methods, Deep Learning, homomorphic encryption, and reinforcement learning. The third and final part shifts in scope to Federated Learning systems - namely JD Technology's own FedLearn system - by discussing its design and implementation using gRPC, in addition to specific performance optimization techniques plus integration with blockchain technology. This book will serve as a great reference for readers who are experienced in Federated Learning algorithms, building privacy-preserving Machine Learning applications or solving real-world problems with privacy-restricted scenarios.

Название: Artificial Intelligence and Beyond for Finance
Автор: Marco Corazza, René Garcia, Faisal Shah Khan, Davide La Torre, Hatem Masri
Издательство: World Scientific Publishing
Год: 2024
Страниц: 429
Язык: английский
Формат: pdf (true)
Размер: 13.6 MB

Why did we write this book? We wanted to help financial experts and investors to understand the state of the art of Artificial Intelligence and Machine Learning in finance. And so, what is Artificial Intelligence? Deep Learning (DL) is a type of Machine Learning (ML) model that is typically used in supervised learning. The main feature of DL is the use of artificial neurons that model neurons of the human brain. Arranging many artificial neurons as nodes in vertical layers from left to right produces a neural network consisting of interconnected nodes. Each vertical collection of nodes is called a layer of the neural network. The layers in between the first and the last layers are called hidden layers. If there are one or two hidden layers in a neural network, it is called shallow ; otherwise, a network is called deep. Therefore, DL refers to learning that takes place with respect to a deep neural network. For context, we note that a linear regression can be implemented on a shallow neural network. No matter the specific industry or application, AI has become a new engine of growth. Both finance and banking have been leveraging AI technologies and algorithms and applying them to automate routine tasks, procedures, forecasting, and improving the overall customer experience.

Название: Fundamentals of Enterprise Architecture: Proven Frameworks for Effective Architecture Decisions
Автор: Tanusree McCabe
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 321
Язык: английский
Формат: pdf, epub
Размер: 11.5 MB

With the increasing complexity of modern cloud-based systems, an effective enterprise architecture program is more critical than ever. In this practical book, author Tanu McCabe from Capital One provides proven frameworks and practices to define an effective enterprise architecture strategy—one that will enable software and enterprise architects to create and implement great architecture strategies. You'll learn how to create shared alignment across business and technology, embed architecture practices into processes and tooling, incorporate technology and business trends, and instill contextual understanding over siloed decision-making. Complete with examples of patterns and antipatterns, this book provides reusable templates, assessment tools, and practical advice. This book is for anyone involved in delivering software products. Architects, engineers, product managers, executives, data scientists—all are necessary in effective enterprise architecture. This book is especially relevant for those undertaking the challenge of leading or performing enterprise architecture. By the end of this book, you will understand what enterprise architecture is and why it is important to have an effective enterprise architecture practice, and who needs to be involved to make enterprise architecture successful. This book is for anyone involved in delivering software products. Architects, engineers, product managers, executives, data scientists—all are necessary in effective enterprise architecture. This book is especially relevant for those undertaking the challenge of leading or performing enterprise architecture. By the end of this book, you will understand what enterprise architecture is and why it is important to have an effective enterprise architecture practice, and who needs to be involved to make enterprise architecture successful.

Название: Ethical Hacking with Python: A Practical Guide
Автор: László Bocsó
Издательство: Independently published
Год: 2024
Страниц: 247
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

In this comprehensive guide, Microsoft Certified Trainer László Bocsó takes you on a journey from basic concepts to advanced techniques, providing a hands-on approach to learning ethical hacking. In the rapidly evolving world of cybersecurity, ethical hacking has emerged as a critical practice for identifying and mitigating security vulnerabilities before malicious actors can exploit them. As cyber threats continue to grow in both complexity and frequency, the need for skilled professionals who can think like hackers—but act with integrity—has never been greater. Ethical hacking, also known as penetration testing, is a proactive approach to securing systems, networks, and applications by uncovering potential weaknesses before they can be exploited. This book, "Ethical Hacking with Python: A Practical Guide," is designed to equip you with the knowledge and skills necessary to become an effective ethical hacker using Python, one of the most powerful and versatile programming languages available today. Python's simplicity, combined with its extensive library support, makes it an ideal choice for security professionals who need to write scripts, automate tasks, and develop custom tools for penetration testing. This book is intended for anyone interested in learning how to use Python for ethical hacking, whether you are a cybersecurity student, an IT professional, or a curious developer looking to expand your skill set. While some prior knowledge of Python and basic networking concepts will be helpful, the book is designed to be accessible to readers at various levels of expertise.

Название: Statistics Applied with the R Commander: Data Analysis Is (Not) an Art
Автор: Franz Kronthaler
Издательство: Springer
Год: 2024
Страниц: 349
Язык: английский
Формат: pdf (true)
Размер: 17.2 MB

This book shows you how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. R and the R Commander functions used are explained in detail – the procedure can be easily transferred to other data sets. The book thus provides a simple introduction to professional and free statistical software. Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and the R Commander. Numerous applications and solutions as well as further data sets are available on the author's internet platform. A free and also professional statistical software is available with the program “R”. “R” is an open source software, many people are involved in its development, and like SPSS, it allows the application of most of the known methods of statistics. The great advantage of “R” lies in its free availability, the wide range of statistical methods and the ever-growing mass of people who use this program and offer help on the Internet. However, a disadvantage is that the use of “R” requires some programming skills. This is particularly the case with complex statistical applications. Those who are not afraid to learn a new software will be well served with R and the R Commander. R is free, available as open source software and we can find numerous aids on the Internet. In addition, R is becoming the standard in data analysis.

Название: Creative Approaches Towards Development of Computing and Multidisciplinary IT Solutions for Society
Автор: Anchit Bijalwan, Rick Bennett, Jyotsna G.B., Sachi Nandan Mohanty
Издательство: Wiley-Scrivener Publishing
Год: 2024
Страниц: 560
Язык: английский
Формат: pdf (true)
Размер: 119.4 MB

With the fast-moving transformation of technology, our world is seeing the vast development of creative approaches to what we can do with computing and multidisciplinary IT solutions. The pages of this 20-chapter informative text emphasize insights into the future of new technologies and the discovery of innovative approaches. It covers emerging next-generation computing research, developments of computing, and multidisciplinary ICT solutions. This book covers all the niche areas that you can think of regarding creative technological advancements. Read about the seven themes of emerging AI-based research in next-generation computing, like cloud computing, cyber security, and gaming. Continue to learn about the role of artificial intelligence and how it could bring the entertainment gaming industry to a whole new level. Furthermore, gain insights into the future of games inspired by new technologies and the discovery of creative and innovative approaches.

Название: Quantum Service-oriented Computing: A Proposal for Quantum Software as a Service
Автор: Javier Romero-Álvarez, Jaime Alvarado-Valiente, Enrique Moguel, José Garcia-Alonso
Издательство: River Publishers
Год: 2024
Страниц: 136
Язык: английский
Формат: pdf (true), epub
Размер: 18.4 MB

This book is an analysis of quantum computing, covering everything from its foundational principles to practical applications in the development of quantum services. It offers a technical and complex overview to provide the necessary knowledge to any researcher, scientist or developer who wants to get into service-oriented quantum computing. The field of quantum computing has evolved rapidly in recent years, with the potential to revolutionize the way we approach complex problems in various fields. This comprehensive guide covers the fundamental principles of quantum computing and its practical applications in the development of quantum services. Beyond theoretical knowledge, the book goes on to explore some of the challenges that quantum software developers face in today’s landscape. It addresses issues related to low-level abstractions and the absence of integration, deployment and quality assurance mechanisms in quantum software engineering. The API gateway pattern, traditionally employed for microservices composition in applications, functions as an entry point to the system, directing requests to various microservice routes. It can apply filters to incoming requests, aggregate results, and implement specific logic. In a notable adaptation the API gateway is enhanced with Machine Learning capabilities, enabling it to recommend the most suitable quantum machine based on user-indicated parameters within the request. Essentially, this adaptation optimizes the deployment strategy of a quantum service dynamically. For this proposal, the quantum API gateway is implemented in Python, utilizing the Flask library for defining the API with distinct endpoints.

Название: Soft Computing: Engineering Applications
Автор: Pradip Debnath, Binod Chandra Tripathy
Издательство: CRC Press
Год: 2025
Страниц: 371
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This book examines the latest developments in the area of soft computing with engineering applications. It explores topics such as fuzzy sets, intuitionistic fuzzy sets, unmanned aerial vehicles, soft sets, neutrosophic sets, fractional calculus, Big Data analytics, and the mathematical foundations of convolutional neural networks (CNNs). Soft Computing: Engineering Applications offers readers a comprehensive and in-depth understanding of various cutting-edge technologies that are transforming industries worldwide. The book explores soft computing techniques in a very systematic manner. It elucidates the concepts, theories, and applications of fuzzy sets, enabling readers to grasp the fundamentals and explore their applications in various fields. It provides new insight into unmanned aerial vehicle applications to fuzzy soft set based decision-making. It then discusses new fixed point results in orthogonal neutrosophic generalized metric spaces and explores statistical convergence of triple sequences in a credibility space. The authors then provide readers with a solid grasp of the mathematical underpinnings of CNNs, enabling them to design, train, and optimize neural networks for image recognition, object detection, and other computer vision tasks. The authors also present new studies in fractional calculus and explore advanced visualization algorithms and techniques for Big Data analytics. Soft Computing will be useful for beginners and advanced researchers in engineering and applied sciences and healthcare professionals working in soft computing applications.

Название: Experimentation in Software Engineering, Second Edition
Автор: Claes Wohlin, Per Runeson, Martin Höst, Magnus C. Ohlsson
Издательство: Springer
Год: 2024
Страниц: 282
Язык: английский
Формат: pdf (true), epub
Размер: 12.4 MB

This textbook, which has become the leading source for empirical software engineering research through its earlier editions, provides an in-depth introduction to experimentation in software engineering. The focus is on the steps to go through when conducting experiments. It also introduces a structure for selecting a research design and an introduction to systematic literature reviews, surveys, and case study research. Experiments are valuable tools for all software engineers who evaluate and choose between different solutions, methods, techniques, languages, and tools. The book has three main parts. Part I introduces empirical research through a structure for selecting a research design and explains several essential areas related to empirical research. Moreover, it provides introductions to systematic literature reviews, experiments, surveys, and case studies. Part II devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendices. The book provides indispensable information regarding empirical studies, particularly for experiments, but also for systematic literature studies, surveys, and case studies. This new edition comprises substantial new material. This includes a chapter on selecting a research design, which helps put experimentation into a broader context of other research approaches. Furthermore, a new chapter on survey research has been added. Novel contributions concerning A/B testing, replications, open science, validity threats, paired comparison design and tools for statistical analysis have been added. The book is intended for students, teachers, researchers, and practitioners who would like to compare different options, for example, feature designs, or different development methods, techniques, languages, or tools.