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Название: Practical C++ STL Programming: Real-world Applications With C++20 and C++23
Автор: Daniel Kusswurm
Издательство: Apress
Год: 2024
Страниц: 933
Язык: английский
Формат: True PDF, True EPUB
Размер: 11.4 MB

Learn how to use the classes, algorithms, and other programming constructs of C++ STL. This comprehensive and practical guide covers a broad range of STL programming topics and highlights numerous programming constructs from the C++20 and C++23 standards. Mastering use of STL can be daunting for both new and experienced C++ programmers. This book is accompanied by over 100 source code examples, designed to accelerate learning by emphasizing practical use cases. It coincides with the C++20 and C++23 standards and works with any OS platform that supports these standards including Windows (Visual C++), Linux (GNU C++) and macOS (clang). After reading Practical C++ STL Programming, you’ll be able to exploit the computational capabilities of STL to implement a wide variety of software algorithms and solve unique programming challenges. For software developers and programmers who understand the basic syntax and semantics of C++ and want/need to learn how to use STL’s classes and algorithms, or programmers who have experience using STL as specified by the C++11/14/17 standards and are interested in learning how to use the new STL classes and algorithms of C++20/23.

Название: Privacy and Security for Large Language Models: Hands-On Privacy-Preserving Techniques for Personalized AI (Early Release)
Автор: Baihan Lin
Издательство: O’Reilly Media, Inc.
Год: 2024-11-20
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

As the deployment of AI technologies surges, the need to safeguard privacy and security in the use of large language models (LLMs) is more crucial than ever. Professionals face the challenge of leveraging the immense power of LLMs for personalized applications while ensuring stringent data privacy and security. The stakes are high, as privacy breaches and data leaks can lead to significant reputational and financial repercussions. This book serves as a much-needed guide to addressing these pressing concerns. Dr. Baihan Lin offers a comprehensive exploration of privacy-preserving and security techniques like differential privacy, federated learning, and homomorphic encryption, applied specifically to LLMs. With its hands-on code examples, real-world case studies, and robust fine-tuning methodologies in domain-specific applications, this book is a vital resource for developing secure, ethical, and personalized AI solutions in today's privacy-conscious landscape.

Название: Программирование на Java
Автор: Нимейер П., Леук Д.
Издательство: М.: Эксмо
Год: 2014 - 4-е издание
Cтраниц: 1216
Формат: pdf
Размер: 252 мб
Язык: русский

Если вы новичок, то перед вами практическое пособие по изучению свойств и интерфейса языка Java. Авторы Патрик Нимейер и Дэниэл Леук, используя великолепные, реалистичные и забавные примеры, познакомят вас с основами языка Java, включая его библиотеки классов, приемы программирования и идиомы, а также примеры создания реальных приложений. Если у вас уже есть опыт работы с Java, эта книга быстро выведет вас на требуемый уровень по параллельным программам, таким как приложения Java для веб-сервисов и XML. Вы изучите мощные новые средства управления ресурсами и исключениями в ваших приложениях.

Название: AI and Innovation: How to Transform Your Business and Outpace the Competition with Generative AI
Автор: Michael Lewrick, Omar Hatamleh
Издательство: Wiley
Год: 2025
Страниц: 272
Язык: английский
Формат: epub (true)
Размер: 50.0 MB

Transform your organization’s approach to Artificial Intelligence (AI) with tested frameworks from global leaders. AI and Innovation: How to Transform Your Business and Outpace the Competition with Generative AI is an expert blueprint on shaping and scaling the AI ecosystem of the future, revealing frameworks already tested and implemented at leading companies including Siemens, GE, and Microsoft. This book contains insight, use cases, tools, and templates to help readers build a brighter future for their organizations based on a fusion of disciplines, new concepts, and foresight thinking. Written by two transformational business leaders, this AI and Innovation shows readers how to create the future of the innovation engine by connecting the dots between technology, change, and business success. AI and Innovation is a timely, essential read for business leaders, innovation and strategy managers, and executives seeking state-of-the-art guidance on AI and proven best practices for implementation.

Название: Mastering PowerShell: The Ultimate Beginner's Guide to Automation and Scripting
Автор: Laszlo Bocso
Издательство: Independently published
Год: 2024
Страниц: 954
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Welcome to the world of PowerShell! This book is your gateway to mastering Microsoft’s robust command-line and scripting framework. Whether you're an IT professional, developer, student, or simply interested in automation, this guide will take you from a novice to an expert. Authored by László Bocsó, a Microsoft Certified Trainer (MCT) with over a decade of experience in IT education and consulting, this book is both informative and practical, designed to be easy to understand and immediately applicable. The primary objective of this book is to serve as a complete guide for beginners who are new to PowerShell. Whether you are an IT administrator, a developer, or a student aspiring to enter the IT field, this book will help you understand the fundamental concepts of PowerShell and how to apply them effectively. By the end of this journey, you will be proficient in writing scripts, automating tasks, managing systems, and utilizing advanced features of PowerShell to optimize your workflow.

Название: Next Generation Mechanisms for Data Encryption
Автор: Keshav Kumar, Bishwajeet Kumar Pandey
Издательство: CRC Press
Год: 2025
Страниц: 306
Язык: английский
Формат: pdf (true), epub
Размер: 20.7 MB

This book gives readers a deep insight into cryptography and discusses the various types of cryptography algorithms used for the encryption and decryption of data. It also covers the mathematics behind the use of algorithms for encryption and decryption. This book is designed for a wide audience, including cybersecurity professionals, researchers, students, and anyone with an interest in data security. It begins with an overview of traditional encryption methods, providing a foundation for understanding the principles and challenges that have shaped the field. From there, we dive into the next-generation encryption mechanisms, showcasing the key innovations and emerging trends that are redefining data security. Each chapter is crafted to blend theoretical concepts with practical applications, offering readers a well-rounded perspective on current advancements and future directions. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, Computer Science and engineering, and information technology.

Название: Deep Learning for Biology: Harness AI to Solve Real-World Biology Problems (Early Release)
Автор: Charles Ravarani, Natasha Latysheva
Издательство: O’Reilly Media, Inc.
Год: 2024-12-03
Страниц: 300
Язык: английский
Формат: epub
Размер: 10.1 MB

Bridge the gap between biology and cutting-edge Machine Learning techniques with this essential guide. Train and interpret Deep Learning models and answer fundamental biological questions. Whether your background is in biology, Machine Learning, or software engineering, this book empowers you with the practical skills needed for your Deep Learning journey. Through step-by-step recipes, authors Natasha Latysheva and Charles Ravarani teach you to train models for tasks like understanding gene regulatory logic, uncovering insights about protein families, and exploring subcellular localization. Each chapter provides self-contained mini-projects that serve as templates for approaching complex biological problems. Leverage Python code and iPython notebooks to extend your projects.

Название: Practical Guide to Machine Learning, NLP, and Generative AI: Libraries, Algorithms, and Applications
Автор: T. Mariprasath, Kumar Reddy Cheepati, Marco Rivera
Издательство: River Publishers
Год: 2025
Страниц: 172
Язык: английский
Формат: pdf (true), epub
Размер: 11.6 MB

This is an essential resource for beginners and experienced practitioners in Machine Learning. This comprehensive guide covers a broad spectrum of machine learning topics, starting with an in-depth exploration of popular machine learning libraries. Readers will gain a thorough understanding of Scikit-learn, TensorFlow, PyTorch, Keras, and other pivotal libraries like XGBoost, LightGBM, and CatBoost, which are integral for efficient model development and deployment. The book delves into various neural network architectures, providing readers with a solid foundation in understanding and applying these models. Beginning with the basics of the Perceptron and its application in digit classification, it progresses to more complex structures such as multilayer perceptrons for financial forecasting, radial basis function networks for air quality prediction, and convolutional neural networks (CNNs) for image classification. Additionally, the book covers recurrent neural networks (RNNs) and their variants like long short-term memory (LSTM) and gated recurrent units (GRUs), which are crucial for time-series analysis and sequential data applications.

Название: Рецепты TypeScript
Автор: Баумгартнер Стефан
Издательство: Спринт Бук
Год: 2025
Формат: pdf
Страниц: 432
Размер: 33,6 Мб
Язык: русский

TypeScript — один из важнейших инструментов для jаvascript-разработчиков. Тем не менее, даже опытные специалисты получают множество сообщений об ошибках от компилятора TypeScript, неприятно удивляясь этому. Откройте «Рецепты TypeScript». В этом практическом руководстве его автор Стефан Баумгартнер описывает способы решения наиболее распространенных задач на TypeScript. Те, кто уже знаком с основами jаvascript и TypeScript, найдут в книге действенные рецепты, которые помогут справиться с широким спектром вопросов, от настройки проектов со сложной структурой до определения расширенных вспомогательных типов. Каждый такой рецепт поможет разобраться с конкретной проблемой и объяснит, почему и как это работает.

Название: AI-Driven Mechanism Design
Автор: Weiran Shen, Pingzhong Tang, Song Zuo
Издательство: Springer/Tsinghua University Press
Серия: Artificial Intelligence: Foundations, Theory, and Algorithms
Год: 2024
Страниц: 135
Язык: английский
Формат: pdf (true), epub
Размер: 11.1 MB

Due to its huge success in industry, mechanism design has been one of the central research topics at the interface of economics and Computer Science. However, despite decades of effort, there are still numerous challenges, in terms of both theory and applications. These include the problem of how to design mechanisms for selling multiple items, dynamic auctions, and balancing multiple objectives, given the huge design space and buyer strategy space; and the fact that in practice, the most widely applied auction format (the generalized second price auction) is neither truthful nor optimal. Furthermore, many theoretical results are based upon unrealistic assumptions that do not hold in real applications. This book presents the AI-driven mechanism design framework, which aims to provide an alternative way of dealing with these problems. The framework features two abstract models that interact with each other: the agent model and the mechanism model. By combining Artificial Intelligence (AI) techniques with mechanism design theory, it solves problems that cannot be solved using tools from either domain alone. For example, it can reduce the mechanism space significantly, build more realistic buyer models, and better balance different objectives. The book focuses on several aspects of mechanism design and demonstrates that the framework is useful in both theoretical analysis and practical applications.