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 Название: AI in Disease Detection: Advancements and Applications
Автор: Rajesh Singh, Anita Gehlot, Navjot Rathour, Shaik Vaseem Akram
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 395
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
Comprehensive resource encompassing recent developments, current use cases, and future opportunities for Artificial Intelligence (AI) in disease detection. AI in Disease Detection discusses the integration of Artificial Intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as Computer Vision, natural language processing (NLP), and Machine Learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation. Delivering excellent coverage of the subject, AI in Disease Detection is an essential up-to-date reference for students, healthcare professionals, academics, and practitioners seeking to understand the possible applications of AI in disease detection and stay on the cutting edge of the most recent breakthroughs in the field. | |
Разместил: Ingvar16 7-01-2025, 20:00 | Комментарии: 0 | Подробнее
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 Название: Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing
Автор: Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Sachin Shetty, Dan Radke
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 277
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
A comprehensive and up-to-date application of Reinforcement Learning concepts to offensive and defensive cybersecurity. In Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing, a team of distinguished researchers delivers an incisive and practical discussion of Reinforcement Learning (RL) in cybersecurity that combines intelligence preparation for battle (IPB) concepts with multi-agent techniques. The authors explain how to conduct path analyses within networks, how to use sensor placement to increase the visibility of adversarial tactics and increase cyber defender efficacy, and how to improve your organization’s cyber posture with RL and illuminate the most probable adversarial attack paths in your networks. Perfect for practitioners working in cybersecurity, including cyber defenders and planners, network administrators, and information security professionals, Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligence for Penetration Testing will also benefit Computer Science researchers. | |
Разместил: Ingvar16 7-01-2025, 19:03 | Комментарии: 0 | Подробнее
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Название: Python для начинающих. Учимся программировать с помощью мини-игр и загадок
Автор: Юэнс-Кларк Кен
Издательство: Феникс
Год: 2025
Формат: PDF
Страниц: 548
Размер: 35 Mb
Язык: Русский
В книге "Python для начинающих" читатели найдут задания, позволяющие изучить этот язык программирования через решение увлекательных головоломок и создание игр. Каждая глава предлагает новую программу: от создания паролей до генерации шекспировских оскорблений. Издание подойдет для читателей с нулевым или начальным опытом в программировании, а также для тех, кто уже имеет опыт, но хочет изучить новый язык.
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Разместил: Chipa 7-01-2025, 11:29 | Комментарии: 0 | Подробнее
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 Название: Beyond Effective Go: Part 2 - Striving for High-Quality Code
Автор: Corey Scott
Издательство: Corey S. Scott
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf, epub
Размер: 10.19 MB
Discover the unique secrets to writing high-quality code efficiently and effectively and dramatically improve your development productivity. Building on the success of Beyond Effective Go—Part 1: Achieving High-Performance Code, Corey shares wisdom and practical approaches to software engineering, software design, and code UX that will set you on the path to success. This series doesn’t waste time on the basics but dives straight into the solutions for the everyday challenges that professional programmers face. With clear explanations and real-world examples, you'll gain the skills to build performant, maintainable, and testable applications in Go efficiently and effectively. Unlike many programming books, Beyond Effective Go focuses on the programmer and the code. Whether you're building large-scale backend services or convenient automation tools, the book will help you write maintainable, high-quality code that meets the needs of your users, programmers, and your business. | |
Разместил: Ingvar16 7-01-2025, 04:41 | Комментарии: 0 | Подробнее
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 Название: Graph Learning Techniques
Автор: Baoling Shan, Xin Yuan, Wei Ni, Ren Ping Liu, Eryk Dutkiewicz
Издательство: CRC Press
Год: 2025
Страниц: 186
Язык: английский
Формат: pdf (true), epub
Размер: 23.4 MB
This comprehensive guide addresses key challenges at the intersection of Data Science, Graph Learning, and privacy preservation. It begins with foundational graph theory, covering essential definitions, concepts, and various types of graphs. The book bridges the gap between theory and application, equipping readers with the skills to translate theoretical knowledge into actionable solutions for complex problems. Graphs serve as a widely recognized representation of the network structure of interconnected data. They appear in various application domains, including social systems, ecosystems, biological networks, knowledge graphs, and information systems. As Artificial Intelligence technologies continue to advance, Graph Learning (i.e., Machine Learning applied to graphs) is attracting increasing interest from both researchers and practitioners. This approach has proven effective for numerous tasks, such as classification, link prediction, and matching, by utilizing Machine Learning algorithms to extract pertinent features from graphs. This resource is a valuable reference for advance undergraduate and postgraduate students in courses related to Network Analysis, Privacy and Security in Data Analytics, and Graph Theory and Applications in Healthcare. | |
Разместил: Ingvar16 7-01-2025, 02:11 | Комментарии: 0 | Подробнее
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 Название: Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes, 2nd Edition
Автор: Brendan Burns
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 220
Язык: английский
Формат: True PDF, True EPUB
Размер: 10.1 MB
Every distributed system strives for reliability, performance, and quality, but building such a system is hard. Establishing a set of design patterns enables software developers and system architects to use a common language to describe their systems and learn from the patterns and practices developed by others. The popularity of containers and Kubernetes paves the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help guide the systems you build using common patterns and practices drawn from some of the highest performing distributed systems in use today. These common patterns make the systems you build far more approachable and efficient, even if you've never built a distributed system before. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. | |
Разместил: Ingvar16 6-01-2025, 21:46 | Комментарии: 0 | Подробнее
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 Название: The Definitive Guide to Modern Java Clients with JavaFX: Cross-Platform Mobile and Cloud Development Updated for JavaFX 21 and 23, 3rd Edition
Автор: Stephen Chin, Johan Vos, James Weaver
Издательство: Apress
Год: 2024
Страниц: 637
Язык: английский
Формат: True PDF, True EPUB
Размер: 29.3 MB
Build enhanced visual experiences and design and deploy modern, easy-to-maintain, client applications across a variety of platforms. This book will show you how these applications can take advantage of JavaFX's latest user interface components, 3D technology, and cloud services to create immersive visualizations and allow high-value data manipulation. This book is a professional reference for building Java applications for desktop, mobile, and embedded in the Cloud age. It offers end-to-end coverage of the latest features in JavaFX 21 and 23. This third edition has been updated to include new features introduced in JavaFX 21 and 23, including NEW APIs: Map, FlatMap, and OrElse fluent bindings for ObservableValue, along with the new Subscription API. Additionally, it's updated to account for new bug fixes and overall improvements to existing functionality in Java. For professional Java developers who are interested in learning the latest client Java development techniques to fill out their skills set. | |
Разместил: Ingvar16 6-01-2025, 21:07 | Комментарии: 0 | Подробнее
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Название: javascript: самый быстрый курс
Автор: Алекс Ерофеев
Издательство: Stepik
Год: 2024
Формат: html
Страниц: много
Размер: 136 Mb
Язык: Русский
Этот курс очень хорошо структурирован, поэтому он самый короткий из существующих курсов. В курсе есть вся база для того чтобы стать разработчиком, после завершения вы сможете сделать свой проект на javascript. Цель курса максимально быстро и точно погрузить Вас в прекрасный мир разработки. Выбирайте javascript - самый динамичный язык на сегодняшний день!
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Разместил: Chipa 6-01-2025, 17:52 | Комментарии: 0 | Подробнее
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 Название: Learn Data Science Fundamentals: A Beginner's Guide To Data Science Programs, Analysis And Visualization
Автор: Declan Ashford
Издательство: Independently published
Год: 2024
Страниц: 246
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
Are you eager to dive into the world of Data Science but unsure where to begin? Do you want to gain the skills to analyze and visualize data like a pro, even if you have no prior experience? Learn Data Science Fundamentals is your comprehensive guide to mastering the foundational concepts of Data Science, equipping you with the tools and techniques needed to thrive in today’s data-driven landscape. This book is designed to take you from a complete novice to a confident Data Science practitioner, guiding you through each step of the process with clear explanations and practical examples. Whether you’re looking to enhance your career, transition into a data-focused role, or simply satisfy your curiosity, this guide offers everything you need to get started. Understand the core tools and programming languages used in Data Science, including Python, R, SQL, and more. Learn how to set up your environment and get comfortable with the interfaces that professionals use every day. Go beyond the basics with techniques for transforming, aggregating, and merging datasets. Learn how to use libraries like Pandas and NumPy to perform complex operations with ease. | |
Разместил: Ingvar16 6-01-2025, 17:39 | Комментарии: 0 | Подробнее
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 Название: Fault Diagnosis and Prognostics Based on Cognitive Computing and Geometric Space Transformation
Автор: Chen Lu, Laifa Tao, Jian Ma, Yujie Cheng, Yu Ding
Издательство: Springer
Год: 2024
Страниц: 565
Язык: английский
Формат: pdf (true)
Размер: 47.8 MB
This monograph introduces readers to new theories and methods applying cognitive computing and geometric space transformation to the field of fault diagnosis and prognostics. It summarizes the basic concepts and technical aspects of fault diagnosis and prognostics technology. Existing bottleneck problems are examined, and the advantages of applying cognitive computing and geometric space transformation are explained. In turn, the book highlights fault diagnosis, prognostic, and health assessment technologies based on cognitive computing methods, including Deep Learning (DL), Transfer Learning, visual cognition, and compressed sensing. Lastly, it covers technologies based on differential geometry, space transformation, and pattern recognition. | |
Разместил: Ingvar16 6-01-2025, 08:35 | Комментарии: 0 | Подробнее
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