Название: Open-Set Text Recognition: Concepts, Framework, and Algorithms
Автор: Xu-Cheng Yin, Chun Yang, Chang Liu
Издательство: Springer
Серия: SpringerBriefs in Computer Science
Год: 2024
Страниц: 130
Язык: английский
Формат: pdf (true), epub
Размер: 20.2 MB

In real-world applications, new data, patterns, and categories that were not covered by the training data can frequently emerge, necessitating the capability to detect and adapt to novel characters incrementally. Researchers refer to these challenges as the Open-Set Text Recognition (OSTR) task, which has, in recent years, emerged as one of the prominent issues in the field of text recognition. This book begins by providing an introduction to the background of the OSTR task, covering essential aspects such as open-set identification and recognition, conventional OCR methods, and their applications. Subsequently, the concept and definition of the OSTR task are presented encompassing its objectives, use cases, performance metrics, datasets, and protocols. A general framework for OSTR is then detailed, composed of four key components: The Aligned Represented Space, the Label-to-Representation Mapping, the Sample-to-Representation Mapping, and the Open-set Predictor. In addition, possible implementations of each module within the framework are discussed. Following this, two specific open-set text recognition methods, OSOCR and OpenCCD, are introduced. This book presents a comprehensive overview of the open-set text recognition task, including concepts, framework, and algorithms. It is suitable for graduated students and young researchers who are majoring in pattern recognition and Computer Science, especially interdisciplinary research.

Название: Тестирование веб-API
Автор: Винтерингем Марк
Издательство: Питер
Год: 2024
Формат: pdf
Страниц: 304
Размер: 11,2 Мб
Язык: русский

Веб-интерфейсы — лицо приложения, и они должны быть совершенными. Внедрение программы автоматизированного тестирования — лучший способ убедиться, что ваши API готовы к работе. «Тестирование веб-API» — это уникальное практическое руководство, включающее в себя описание всех этапов: от начального проектирования набора тестов до методов документирования, реализации и предоставления высококачественных API. Вы познакомитесь с обширным набором методов тестирования — от исследовательского до тестирования продакшен-кода, а также узнаете, как сэкономить время за счет автоматизации с использованием стандартных инструментов. Книга поможет избежать многих трудностей при тестировании API.

Название: Programming Large Language Models With Azure Open AI: Conversational Programming and Prompt Engineering With LLMs
Автор: Francesco Esposito
Издательство: Microsoft Press/Pearson Education
Год: 2024
Страниц: 257
Язык: английский
Формат: pdf (true), epub
Размер: 32.0 MB

Use LLMs to build better business software applications. Autonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programming—with specific techniques for patterns and frameworks—unlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input. For software architects, lead developers, and individuals with a background in programming—particularly those familiar with languages like Python and possibly C# (for ASP.NET Core)—will find the content in this book accessible and valuable. In the vast realm of software professionals who might find the book useful, I’d call out those who have an interest in ML, especially in the context of LLMs.

Название: Computer Graphics Programming in OpenGL Using C++, Third Edition
Автор: V. Scott Gordon, John Clevenger
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 589
Язык: английский
Формат: pdf (true), epub (true)
Размер: 40.0 MB, 80.7 MB

This updated edition includes step-by-step instruction on modern OpenGL 4.0+ GLSL shader programming with C++, along with the theoretical foundations of 3D computer graphics. Every shader stage is explored, from the basics of modeling, textures, lighting, shadows, etc., through advanced techniques such as tessellation, noise maps, water, and stereoscopy. This new edition includes expanded coverage of camera control, refraction, and a new chapter on ray tracing with bounding volume hierarchies for complex models. The companion files include all the source code, shaders, model files, skyboxes, etc., needed to run every example in the book. This book teaches OpenGL programming in C++. It is worth mentioning that there do exist other language bindings for OpenGL. Popular alternatives exist for Java, C#, Python, and many others. This textbook focuses only on C++.

Название: Python Asynchronous Web Development with asyncio: No more waiting screens or unresponsive interfaces! Write clean, maintainable code that prioritizes readability. Build Scalable Applications, conquer Starlette, Quart and more!
Автор: Katie Millie
Издательство: Independently published
Серия: Python Trailblazer’s Bible
Год: 2024
Страниц: 188
Язык: английский
Формат: pdf
Размер: 32.7 MB

Tired of Laggy Web Apps? Unleash Python's Asynchronous Power: Build Blazing-Fast, Engaging Experiences (Even if You're New!). In today's hyper-connected world, users demand instantaneous web experiences. But traditional web development often struggles to keep up, leaving users frustrated with slow loading times and unresponsive interfaces. There's a better way: Python Asynchronous Web Development with asyncio. This book is your launchpad to building the next generation of web applications. We'll equip you with the skills to master asyncio, a revolutionary library that lets your applications handle multiple user requests simultaneously. The result? Web applications that feel instant, even under heavy traffic. Effortless Responsiveness: Build applications that feel lightning-fast! No more waiting screens or unresponsive interfaces. Your users will be delighted with the instant experience, keeping them engaged and coming back for more. Unleash Python's True Potential: Combine the elegance of Python with the speed of asynchronous programming. Write clean, maintainable code that prioritizes readability while achieving unparalleled performance. Become an In-Demand Developer: Asynchronous programming is a highly sought-after skill in the ever-growing web development landscape. This book prepares you with the knowledge and experience to stand out from the crowd and land your dream job.

Название: Ethical Hacking with Python: Developing Cybersecurity Tools
Автор: Nate Phoetean
Издательство: Independently published
Год: 2024
Страниц: 432
Язык: английский
Формат: pdf
Размер: 38.5 MB

Dive into the world of cybersecurity with "Ethical Hacking with Python: Developing Cybersecurity Tools," a comprehensive guide designed to elevate your skills in protecting digital assets against ever-evolving threats. This book meticulously unfolds the landscape of ethical hacking and the pivotal role Python plays in it, offering a deep dive into the art and science of identifying vulnerabilities, exploiting them ethically, and securing systems more robustly. From setting up your own ethical hacking lab with Python to mastering network scanning, vulnerability assessment, exploitation techniques, and beyond, this guide leaves no stone unturned. Each chapter is crafted with detailed explanations, practical demonstrations, and real-world scenarios, ensuring you gain both the theoretical knowledge and hands-on experience needed to thrive in the complex realm of cybersecurity. Whether you're a cybersecurity professional seeking to deepen your expertise, a computer science student aiming to complement your education with practical skills, or a programming enthusiast curious about ethical hacking, this book is your gateway to advancing your capabilities. Embrace the opportunity to develop your own Python tools and scripts, and position yourself at the forefront of cybersecurity efforts in a world teeming with digital challenges.

Название: PYTHON без проблем. Решаем реальные задачи и пишем полезный код
Автор: Даниэль Зингаро
Издательство: Питер
Год: 2023
ISBN: 978-5-4461-1920-2
Страниц: 337
Формат: PDF
Размер: 10 Mб
Язык: Русский

Даниэль Зингаро создал книгу для начинающих, чтобы вы сразу учились решать интересные задачи, которые использовались на олимпиадах по программированию, и развивали мышление программиста. В каждой главе вам даются задания, собственные решения можно выложить на сайт и получить оценку профи. Вы на практике освоите основные возможности, функции и методы языка Python и получите четкое представление о структурах данных, алгоритмах и других основах программирования.

Название: Balancing Automation and Human Interaction in Modern Marketing
Автор: Arjun J. Nair, Sridhar Manohar, Amit Mittal
Издательство: IGI Global
Год: 2024
Страниц: 348
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

In modern marketing, a pivotal challenge has surfaced - finding the delicate balance between automation and human interaction. This challenge stems from the rapid advancement of Artificial Intelligence (AI) technologies, which, while promising unparalleled efficiency and innovation, also lack the personal touch inherent in traditional marketing. As AI gains prominence, marketers grapple with integrating automated processes while preserving the authenticity and emotional resonance that human engagement brings. Balancing Automation and Human Interaction in Modern Marketing positions itself as a guiding force in achieving balance amid the changing marketing landscape. Within the pages of this book lies a comprehensive exploration of contemporary marketing challenges centered on striking the right balance between automation and human interaction. The quest for optimal equilibrium threads through topics such as elevating customer experiences, scalable personalization through AI, emotional intelligence in marketing, and the critical role of human-centered design. By addressing these challenges head-on, the book provides practical advice for implementing AI in marketing but positions ethics at the forefront. It advocates for responsible AI-driven marketing, fostering trust, and ensuring that the human touch remains a cornerstone of brand-consumer relationships. Designed for a diverse audience, encompassing marketers, business leaders, AI developers, educators, and consumers, the book serves as a resource for dealing with the complexities of AI-driven marketing. With recommended topics spanning from the impact of AI on customer experience to the importance of diverse perspectives in AI development, the book caters to the various interests of its readers.

Название: Computational Stochastic Programming: Models, Algorithms, and Implementation
Автор: Lewis Ntaimo
Издательство: Springer
Год: 2024
Страниц: 518
Язык: английский
Формат: pdf (true), epub
Размер: 40.5 MB

This book provides a foundation in stochastic, linear, and mixed-integer programming algorithms with a focus on practical computer algorithm implementation. The purpose of this book is to provide a foundational and thorough treatment of the subject with a focus on models and algorithms and their computer implementation. The book’s most important features include a focus on both risk-neutral and risk-averse models, a variety of real-life example applications of stochastic programming, decomposition algorithms, detailed illustrative numerical examples of the models and algorithms, and an emphasis on computational experimentation. With a focus on both theory and implementation of the models and algorithms for solving practical optimization problems, this monograph is suitable for readers with fundamental knowledge of linear programming, elementary analysis, probability and statistics, and some computer programming background. Several examples of stochastic programming applications areincluded, providing numerical examples to illustrate the models and algorithms for both stochastic linear and mixed-integer programming, and showing the reader how to implement the models and algorithms using computer software.

Название: Methodologies, Frameworks, and Applications of Machine Learning
Автор: Pramod Kumar Srivastava, Ashok Kumar Yadav
Издательство: IGI Global
Год: 2024
Страниц: 315
Язык: английский
Формат: pdf (true), epub
Размер: 36.4 MB

In the ever-evolving landscape of technology, Machine Learning stands as a beacon of innovation with the potential to reshape industries and redefine our daily lives. As editors of this comprehensive reference book, Methodologies, Frameworks, and Applications of Machine Learning, we are thrilled to present a compendium that encapsulates the essence of the latest advancements, theoretical foundations, and practical applications in the realm of Machine Learning. Technology is constantly evolving, and Machine Learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest Machine Learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine Learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. The Chapter 2 focuses on practical implementations of Machine Learning projects using Scikit-learn and TensorFlow libraries in Python. Four distinct projects unfold, each addressing classification, regression, and image classification problems. The step-by-step walkthrough covers model evaluation using classical Machine Learning techniques and deep neural networks.