Название: Mastering OpenAI for Enterprise: Unlock the Power of OpenAI to Build Intelligent Applications for Businesses with GPT, DALL-E, RAG, and AI Agents
Автор: Sriram Subramanian
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 242
Язык: английский
Формат: epub (true)
Размер: 14.5 MB

Master OpenAI and Unlock the Future of AI-Powered Innovation. OpenAI is transforming industries with cutting-edge AI models, redefining how businesses operate, innovate, and compete. Mastering OpenAI for Enterprise is your definitive guide to harnessing the power of OpenAI’s groundbreaking technologies, including GPT models, DALL·E, and more. Designed for AI engineers, developers, and business leaders, this book offers an in-depth understanding of OpenAI’s tools and their real-world applications in enterprise settings. This hands-on guide provides a structured learning path, featuring practical code samples, step-by-step implementations, and industry case studies that bridge theory with practice. Whether you're building intelligent chatbots, leveraging AI for automation, or exploring generative AI for creative solutions, this book equips you with the knowledge and skills to seamlessly integrate OpenAI into your workflows. This book is tailored for both beginners and experienced professionals looking to harness the power of OpenAI.

Название: Разработка пользовательских интерфейсов
Автор: Тидвелл Дженифер
Издательство: Питер Пресс
Год: 2008
Страниц: 416
Формат: djvu
Размер: 23 мб
Качество: хорошее
Язык: русский

Разработать хороший интерфейс не так-то просто. Пользователю в наше время требуется программное обеспечение, работа которого прекрасно отлажена, интерфейс радует взгляд, да и в целом пользоваться программой должно быть легко. При этом клиенты и менеджеры требуют, чтобы ПО было оригинальным и быстро продавалось.

Название: Data Structures in Depth Using C++: A Comprehensive Guide to Data Structure Implementation and Optimization in C++
Автор: Mahmmoud Mahdi
Издательство: Apress
Год: 2025
Страниц: 383
Язык: английский
Формат: True PDF
Размер: 52.9 MB

Understand and implement data structures and bridge the gap between theory and application. This book covers a wide range of data structures, from basic arrays and linked lists to advanced trees and graphs, providing readers with in-depth insights into their implementation and optimization in C++. You'll explore crucial topics to optimize performance and enhance their careers in software development. In today's environment of growing complexity and problem scale, a profound grasp of C++ data structures, including efficient data handling and storage, is more relevant than ever. This book introduces fundamental principles of data structures and design, progressing to essential concepts for high-performance application. Finally, you'll explore the application of data structures in real-world scenarios, including case studies and use in Machine Learning and Big Data. This practical, step-by-step approach, featuring numerous code examples, performance analysis and best practices, is written with a wide range of C++ programmers in mind. So, if you're looking to solve complex data structure problems using C++, this book is your complete guide.

Название: Mastering Performance Optimization in Python: Unlock the Secrets of Expert-Level Skills
Автор: Larry Jones
Издательство: Walzone Press
Год: 2025
Страниц: 500
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Dive deep into the art and science of Python performance enhancement with "Mastering Performance Optimization in Python: Unlock the Secrets of Expert-Level Skills." This advanced guide transforms seasoned developers into Python performance experts by exploring sophisticated techniques that elevate coding prowess. From runtime environments and data handling to memory management and concurrency, this book provides the essential insights needed to navigate and conquer complex performance challenges. Each chapter meticulously breaks down intricate concepts, presenting clear, actionable strategies for real-world application. Discover how to leverage Python's built-in libraries, utilize asynchronous programming, and implement multithreading and multiprocessing for optimal efficiency. With a focus on profiling, benchmarking, and continuous monitoring, the book ensures that readers develop the skills to not only identify but also rectify performance bottlenecks, delivering applications that are both robust and scalable.

Название: Explainable Artificial Intelligence in the Healthcare Industry
Автор: Abhishek Kumar, T. Ananth Kumar, Prasenjit Das, Chetan Sharma
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 680
Язык: английский
Формат: pdf (true), epub
Размер: 31.6 MB

Discover the essential insights and practical applications of Explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource. Explainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of Artificial Intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models’ outputs. Explainable AI in the Healthcare Industry presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry.

Название: Cross-device Federated Recommendation: Privacy-Preserving Personalization
Автор: Xiangjie Kong, Lingyun Wang, Mengmeng Wang, Guojiang Shen
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2025
Страниц: 166
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This book introduces the prevailing domains of recommender systems and cross-device Federated Learning (FL), highlighting the latest research progress and prospects regarding cross-device federated recommendation. As a privacy-oriented distributed computing paradigm, cross-device Federated Learning enables collaborative intelligence across multiple devices while ensuring the security of local data. In this context, ubiquitous recommendation services emerge as a crucial application of device-side AI, making a deep exploration of federated recommendation systems highly significant. This book is self-contained, and each chapter can be comprehended independently. Overall, the book organizes existing efforts in federated recommendation from three different perspectives. The perspective of learning paradigms includes statistical Machine Learning (ML), Deep Learning, Reinforcement Learning, and meta learning, where each has detailed techniques (e.g., different neural building blocks) to present relevant studies. The perspective of privacy computing covers homomorphic encryption, differential privacy, secure multi-party computing, and malicious attacks.

Название: Deep Learning and Computer Vision: Models and Biomedical Applications: Volume 1
Автор: Uma N. Dulhare, Essam Halim Houssein
Издательство: Springer
Серия: Algorithms for Intelligent Systems
Год: 2025
Страниц: 222
Язык: английский
Формат: pdf (true), epub
Размер: 25.5 MB

This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize Deep Learning models with Computer Vision. Deep Learning is integrated with Computer Vision to enhance the performance of image classification with localization, object detection, object recognition, object segmentation, image style transfer, image colorization, image reconstruction, image super-resolution, image synthesis, motion detection, pose estimation, semantic segmentation in biomedical field. Huge number of efficient approaches/applications and models support medical decisions in the fields of cardiology, dermatology, and radiology. The content of book elaborates Deep Learning models such as convolution neural networks, Deep Learning, generative adversarial network, long short-term memory networks (LSTM), autoencoder (AE), restricted Boltzmann machine (RBM), self-organizing map (SOM), deep belief network (DBN), etc.

Название: When Docker Meets Java: A Practical Guide to Docker for Java and Spring Boot Applications
Автор: Ashish Choudhary
Издательство: Apress
Год: 2025
Страниц: 249
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

Discover how to become a more efficient Java developer using Docker. This book will help you streamline your development process, boost portability, and enhance the efficiency of your applications. Docker has transformed the landscape of application and deployment by simplifying the creation and management of development environments, saving valuable time and reducing compatibility issues. With this book, you will learn how to package Java applications into Docker containers, making them consistent and portable across different environments. As a result, you’ll gain the expertise to efficiently scale and manage your applications, ensuring they run smoothly in production to boost development efficiency. This book sets itself apart through its emphasis on Java developers’ specific needs and challenges, providing relevant examples and use cases. The hands-on practical approach provides you with the necessary skills to be a more valuable Java developer. For Java developers who want to make their applications more portable and easier to manage.

Название: ChatGPT For Dummies, 2nd Edition
Автор: Pam Baker
Издательство: For Dummies
Год: 2025
Страниц: 352
Язык: английский
Формат: epub (true)
Размер: 11.1 MB

Updated to provide a deeper and closer look at ChatGPT. Expanded and extended, this new edition of ChatGPT For Dummies covers the latest tools, models, and options available on the popular generative AI platform. You'll learn best practices for using ChatGPT as a text and media generation tool, research assistant, and content reviewer. If you're new to the world of AI, you'll get all the basic know-how needed to add ChatGPT to your professional toolbox. And if you've been doing the genAI thing for a while already, this book will sharpen your skills as you apply AI to real-world projects in an ethical manner. You'll get insight on the best practice for using ChatGPT to make your life and work easier and how to write prompts that result in high-quality output.

Название: Qt 4 - программирование GUI на C++
Автор: Жасмин Бланшет, Марк Саммерфилд
Издательство: М.: КУДИЦ-ПРЕСС
Год: 2007
ISBN: 978-5-91136-038-2
Страниц: 648
Формат: pdf
Качество: отличное
Размер файла: 10 MB
Язык: русский

Эта книга представляет собой руководство по практическому программированию в среде Qt 4.1. Приведенные в ней примеры помогут читателю понять основные принципы программирования в Qt (от создания диалоговых окон до реализации функциональных приложений), освоить передовые методы Qt 4, а также эффективно использовать новые программные интерфейсы Qt 4 - мощный графический процессор 2D и простые в применении классы-контейнеры.
В это издание включены новые главы, в которых описывается архитектура Qt 4 модель/представление, новый фреймворк для подключаемых модулей, основы программирования встроенных систем с помощью Qtopia, а также добавлено новое приложение. Помимо описания обширной интерактивной документации Qt, как и в книге по Qt 3, основное внимание уделено объяснению принципов Qt-программирования. Книга ориентирована на подготовленного читателя, знакомого с основами программирования на C++, Java или С#.