Название: Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications
Автор: Ahmed A Elngar, Diego Oliva, Valentina E. Balas
Издательство: CRC Press
Год: 2025
Страниц: 309
Язык: английский
Формат: pdf (true), epub
Размер: 24.5 MB

Federated Machine Learning is a novel approach to combining distributed Machine Learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA. Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications enables training AI models on a large number of decentralized devices or servers, making it a scalable and efficient solution. It also allows organizations to create more versatile AI models by training them on data from diverse sources or domains. This approach can unlock innovative use cases in fields like healthcare, finance, and IoT, where data privacy is paramount. Federated Learning (FL) operates by training local models on diverse datasets held by individual nodes, with only model parameters exchanged to create a global model. Unlike traditional centralized Machine Learning, FL eliminates the need to aggregate data in one location, thereby reducing privacy concerns associated with data sharing.

Название: Artificial Intelligence in Material Science: Advances
Автор: Mohamed Arezki Mellal
Издательство: CRC Press
Год: 2025
Страниц: 277
Язык: английский
Формат: pdf (true), epub
Размер: 24.3 MB

Artificial Intelligence (AI) in the form of Machine Learning and nature-inspired optimization algorithms are vastly used in material science. These techniques improve many quality metrics, such as reliability and ergonomics. This book highlights the recent challenges in this field and helps readers to understand the subject and develop future works. It reviews the latest methods and applications of AI in material science. It covers a wide range of topics, including Material processing; Properties prediction; Conventional machining, such as turning, boring, grinding, and milling; non-conventional machining, such as electrical discharge machining, electrochemical machining, laser machining, plasma machining, ultrasonic machining, chemical machining, and water-jet machining; Machine tools, such as programming, design, and maintenance. AI techniques reviewed in the book include Machine learning, Fuzzy logic, Genetic algorithms, Particle swarm optimization, Cuckoo search, Grey wolf optimizer, and Ant colony optimization.

Название: Простое объектно-ориентированное проектирование: чистый и гибкий код
Автор: Аниче Маурисио
Издательство: Питер
Год: 2025
Формат: pdf
Страниц: 224
Размер: 15,4 Мб
Язык: русский

В процессе развития даже простое объектно-ориентированное приложение может стать сложным. Каждый новый класс, метод или функция добавляет новые состояния и абстракции, которыми нужно управлять, увеличивает время, необходимое на распутывание ранее написанного кода. Чтобы сохранить кодовую базу простой, нужны конкретные знания и умения. И вы их получите! Изучите практические принципы проектирования, помогающие сохранять простоту объектно-ориентированной кодовой базы по мере ее развития. Написанная в виде сборника практических приемов, которые можно применять в любом объектно-ориентированном языке, книга предлагает советы по организации кода, управлению зависимостями и модулями и проектированию гибких абстракций. Информативные иллюстрации, практические примеры и упражнения помогут вам быстрее запомнить описываемые принципы.

Название: Public Key Cryptosystems
Автор: Esra Bas
Издательство: CRC Press
Год: 2025
Страниц: 175
Язык: английский
Формат: pdf (true), epub
Размер: 13.5 MB

This book is a short book about public key cryptosystems, digital signature algorithms, and their basic cryptanalysis which are provided at a basic level so that it can be easy to understand for the undergraduate engineering students who can be defined as the core audience. To provide the necessary background, Chapters 1 and 2 are devoted to the selected fundamental concepts in cryptography mathematics and selected fundamental concepts in cryptography. Chapter 3 is devoted to discrete logarithm problem (DLP), DLP-related public key cryptosystems, digital signature algorithms, and their cryptanalysis. In this chapter, the elliptic curve counterparts of the algorithms and the basic algorithms for the solution of DLP are also given. In Chapter 4, RSA public key cryptosystem, RSA digital signature algorithm, the basic cryptanalysis approaches, and the integer factorization methods are provided.

Название: 99 Bottles of OOP - 2nd Edition Python Edition
Автор: Sandi Metz, Katrina Owen, TJ Stankus
Издательство: Potato Canyon Software, LLC
Год: 24-11-15 (Version: 2.2.1)
Страниц: 282
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.16 MB

99 Bottles of OOP is a practical guide to writing cost-effective, maintainable, and pleasing object-oriented code. Now available in Python, as well as jаvascript, PHP, and Ruby! We are practical people. We love beautiful code but we're also committed to getting things done. 99 Bottles of OOP enables both of these desires. It teaches practical programming techniques that lead, naturally and inevitably, to beautiful code. This book contains an extended refactoring, and it details the rationale behind every change. It is a hands-on workbook rather than a list of theoretical ideas. It explains how to use the principles of object-oriented design to guide, not just the final arrangement of code, but each decision about what line of code to write next. It teaches the theory of what good OO looks like, but even better, it supplies step-by-step guidance about how to achieve it. The lessons work for programmers with a broad range of experience, from rank novice to grizzled veteran.

Название: Advanced Python Automation: Build Robust and Scalable Scripts
Автор: Robert Johnson
Издательство: HiTeX Press
Год: 2024
Страниц: 401
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

"Advanced Python Automation: Build Robust and Scalable Scripts" is a comprehensive guide crafted to elevate your automation skills using Python, one of the most versatile programming languages available today. This book delves into the essential techniques and tools required to create sophisticated and efficient scripts, suitable for both beginners and experienced programmers. With its emphasis on practicality, the book methodically covers topics ranging from setting up a development environment to mastering error handling and debugging, ensuring you develop a strong foundation in Python automation. Throughout the chapters, readers will explore advanced techniques such as task scheduling, data collection, and interacting with APIs and web services. The book extends further into cutting-edge methods, including cloud resource management, machine learning integration, and serverless computing, enhancing your capability to build scalable and robust automation systems. By embracing both foundational and advanced concepts, this book equips you with the skills necessary to automate a wide range of tasks, improve productivity, and harness the full potential of Python in your automation projects.

Название: Python for Computer Vision: Unlocking Image Processing and Machine Learning with Python
Автор: Mark Jackson
Издательство: Independently published
Год: 2024
Страниц: 117
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB

"Python for Computer Vision" is a comprehensive guide that equips you with the knowledge and skills needed to excel in the field of computer vision. This book takes you on a journey through the essential concepts of image processing, object detection, and machine learning, all using the power and versatility of Python. Whether you're a beginner or an experienced developer, you'll find practical examples and hands-on projects that make complex topics accessible. Learn how to leverage popular libraries like OpenCV, TensorFlow, and PyTorch to build and deploy computer vision applications, from basic image manipulation to advanced deep learning models.

Название: Model Optimization Methods for Efficient and Edge AI: Federated Learning Architectures, Frameworks and Applications
Автор: Pethuru Raj Chelliah, Amir Masoud Rahmani, Robert Colby, Gayathri Nagasubramanian, Sunku Ranganath
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 414
Язык: английский
Формат: pdf (true), epub
Размер: 29.4 MB

Comprehensive overview of the fledgling domain of Federated Learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applications. Model Optimization Methods for Efficient and Edge AI explores AI model engineering, evaluation, refinement, optimization, and deployment across multiple cloud environments (public, private, edge, and hybrid). It presents key applications of the AI paradigm, including computer vision (CV) and Natural Language Processing (NLP), explaining the nitty-gritty of Federated Learning (FL) and how the FL method is helping to fulfill AI model optimization needs. The book also describes tools that vendors have created, including FL frameworks and platforms such as PySyft, Tensor Flow Federated (TFF), FATE (Federated AI Technology Enabler), Tensor/IO, and more.

Название: Computational Intelligence for Autonomous Finance
Автор: Deepa Gupta, Mukul Gupta, Rajesh Kumar Dhanaraj, Balamurugan Balusamy
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 330
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

The book serves as an essential guide and a deep dive into the intersection of Artificial Intelligence (AI) and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of Computational Intelligence techniques (CI) and financial technologies has paved the way for a new era of financial services. This transformation is driven by the integration of Artificial Intelligence (AI), Machine Learning (ML), blockchain, and big data analytics into financial systems, leading to the development of more responsive, efficient, and personalized financial products and services. Computational Intelligence for Autonomous Finance delves into the heart of this technological revolution, offering a comprehensive exploration of the theoretical foundations, practical applications, and future prospects of Computational Intelligence in the financial sector.

Название: Hands-On Generative AI with Transformers and Diffusion Models (Final Release)
Автор: Omar Sanseviero, Pedro Cuenca, Apolinário Passos, Jonathan Whitaker
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 416
Язык: английский
Формат: epub (true)
Размер: 25.0 MB

Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to combine existing building blocks to create new models and creative applications in different domains. This go-to book introduces theoretical concepts followed by guided practical applications, with extensive code samples and easy-to-understand illustrations. You'll learn how to use open source libraries to utilize transformers and diffusion models, conduct code exploration, and study several existing projects to help guide your work. This book assumes that you are comfortable programming in Python and have a foundational understanding of what Machine Learning is, including basic usage of frameworks like PyTorch or TensorFlow.