Litgu.ru - Литературный Гуру

Название: Optimizing Prompt Engineering for Generative AI
Автор: Erik Herman
Издательство: Mercury Learning and Information
Год: 2025
Страниц: 217
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

In the constantly changing field of Artificial Intelligence (AI), effective communication and prompt engineering have become essential for developers, researchers, and tech enthusiasts to guide and improve AI. Optimizing Prompt Engineering for Generative AI provides in-depth insight into the techniques and skills needed to create prompts that enhance the performance and relevance of conversational AI systems. Intended for AI practitioners, technology developers, and academics, this book serves as both a foundational text for newcomers and a detailed guide for experienced professionals seeking to refine their skills. This book equips readers with the knowledge to effectively design, test, and refine AI prompts that lead to more accurate, engaging, and ethically aligned AI interactions. This book is not just a manual; it’s a pathway to mastering the art of conversational AI, designed to foster an innovative approach to AI interactions that are as transformative forward-thinking.

Название: The Art of Decoding Microservices: An In-Depth Exploration of Modern Software Architecture
Автор: Sumit Bhatnagar, Roshan Mahant
Издательство: Apress
Год: 2025
Страниц: 368
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

Stay competitive in today’s software industry by mastering microservices. As microservices architecture becomes the modern standard, this book demystifies the transition from monoliths to microservices with clear guidance and practical examples for easier adoption and implementation. The book starts with the basics, explaining what microservices are, their benefits, and how they compare to monolithic architectures. From there, you will explore a wide range of topics including service discovery, load balancing, authentication and authorization, resilience, fault tolerance, and much more as well as practical Java examples throughout. Each chapter is meticulously crafted to offer a balance of theory and hands-on application, ensuring you not only understand the concepts but also apply them effectively in real-world scenarios. By the end of the book, you will be ready to design, implement, and manage scalable and efficient microservices-based systems. For novice and experienced developers who are new to microservices and want to master the topic to drive successful software projects. The book is programming language-agnostic, and can be understood by developers of any language, but those with some familiarity with Java will benefit more from the specific examples provided.

Название: React JS: Basics to Advanced 101
Автор: Aarav Joshi
Издательство: 101 Books
Год: December 19, 2024
Страниц: 432
Язык: английский
Формат: pdf
Размер: 27.8 MB

React JS has revolutionized the way developers build user interfaces, making it one of the most popular jаvascript libraries in the world. Known for its simplicity and flexibility, React allows developers to create dynamic and interactive web applications with ease. Its component-based architecture promotes reusability, reducing development time and improving code maintainability. React’s virtual DOM ensures high performance by efficiently updating only the necessary parts of the user interface. Furthermore, its vast ecosystem, strong community support, and compatibility with modern tools make it an indispensable choice for web development. This book is a comprehensive guide to mastering React JS, designed for beginners to advanced learners. It delves into technical aspects, skips unnecessary introductions, and provides a hands-on approach to building real-world applications while adhering to best practices. Perfect for developers aiming to elevate their React skills!

Название: Python Beyond the Basics: An In-Depth Guide for Advanced Users
Автор: ByteNovus
Издательство: ByteNovus
Год: September 23, 2024
Страниц: 201
Язык: английский
Формат: pdf
Размер: 10.1 MB

Python Beyond the Basics: An In-Depth Guide for Advanced Users is a comprehensive exploration of advanced Python programming concepts. This book is designed for developers who have a strong foundation in Python and are ready to elevate their skills to the next level. Covering topics such as advanced data structures, functional programming, object-oriented design, iterators, generators, and concurrency, this guide offers practical insights and examples for tackling real-world problems. It also delves into Python's data model, testing, debugging, and performance optimization techniques. Whether you're working with Machine Learning, Data Science, or web development, this book provides the tools and techniques necessary to write efficient, scalable, and maintainable Python code.

Название: Mathematical Methods Applied in Artificial Intelligence and Multi-Agent Systems
Автор: Jiangping Hu, Zhinan Peng
Издательство: MDPI
Год: 2024
Страниц: 226
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Due to rapid developments in computing, communication, and sensing technology, multi-agent systems have become increasingly ubiquitous. Their applications include mobile sensor networks, autonomous vehicles, intelligent transportation systems, and smart grids. The complex unknown environment and inaccurate dynamics prose additional challenges for the modeling, control, and optimization of such systems. Therefore, Data Science and Machine Learning are providing opportunities to develop Artificial Intelligence-based methods and enable new control and optimization paradigms for multi-agent systems. The aim of this Special Issue is to bring together significant developments in the interface between Machine Learning, neurodynamics, and swarm intelligence.

Название: Python Unlocked: A Beginner's Guide to Coding Success
Автор: ByteNovus
Издательство: ByteNovus
Год: September 23, 2024
Страниц: 148
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Python Unlocked: A Beginner's Guide to Coding Success is an essential resource for anyone looking to master the fundamentals of Python programming. This comprehensive guide covers everything from setting up your environment to exploring advanced topics like data structures, machine learning, and web development. Whether you're new to coding or looking to expand your knowledge, this book provides clear explanations, practical examples, and real-world projects to help you succeed in your programming journey. With an emphasis on simplicity and readability, Python Unlocked empowers you to build applications, automate tasks, and solve real-world problems with confidence.

Название: Machine Learning and Metaheuristic Computation
Автор: Erik Cuevas, Jorge Galvez, Omar Avalos, Fernando Wario
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 431
Язык: английский
Формат: True/Retail PDF, True EPUB
Размер: 29.6 MB

Learn to bridge the gap between Machine Learning and metaheuristic methods to solve problems in optimization approaches. Few areas of technology have greater potential to revolutionize the globe than Artificial Intelligence. Two key areas of Artificial Intelligence, Machine Learning and metaheuristic computation, have an enormous range of individual and combined applications in Computer Science and technology. To date, these two complementary paradigms have not always been treated together, despite the potential of a combined approach which maximizes the utility and minimizes the drawbacks of both. Machine Learning and Metaheuristic Computation offers an introduction to both of these approaches and their joint applications. Both a reference text and a course, it is built around the popular Python programming language to maximize utility. It guides the reader gradually from an initial understanding of these crucial methods to an advanced understanding of cutting-edge Artificial Intelligence tools. For enthusiasts and practitioners in Machine Learning who may not be well-versed in metaheuristic computation, this book is an essential resource.

Название: Mastering Machine Learning From Fundamentals to Advanced Techniques
Автор: Vanita B
Издательство: Independently published
Год: December 19, 2024
Язык: английский
Формат: pdf
Размер: 26.9 MB

Embark on a transformative journey through the captivating world of Machine Learning. This comprehensive guide takes you from foundational principles to the cutting-edge techniques defining the future of Artificial Intelligence (AI). Whether you're a beginner with a curiosity for data or an experienced practitioner looking to refine your skills, this resource offers a structured and immersive learning experience. Understand the essential mathematics and programming concepts crucial to Machine Learning. Dive deep into the most pivotal algorithms that form the bedrock of Machine Learning applications. Whether you aim to innovate in tech, improve decision-making processes, or simply satisfy your curiosity about intelligent systems, "Mastering Machine Learning" equips you with the knowledge and tools to succeed.

Название: Introduction to Geometric Computing
Автор: Sherif Ghali
Издательство: Springer
Год: 2008
Формат: pdf
Страниц: 330
Размер: 13,3 Мб
Язык: английский

Although geometry has been a flourishing discipline for millennia, most of it has seen either no practical applications or only esoteric ones. Computing is quickly making much of geometry intriguing not only for philosophers and mathematicians, but also for scientists and engineers. What is the core set of topics that a practitioner needs to study before embarking on the design and implementation of a geometric system in a specialized discipline? This book attempts to find the answer.
Every programmer tackling a geometric computing problem encounters design decisions that need to be solved. What may not be clear to individual programmers is that these design decisions have already been contemplated by others who have gone down some system design path only to discover (usually much later) that the design decisions that were made were lacking in some respect. This book reviews the geometric theory then applies it in an attempt to find that elusive “right” design.

Название: Math Code Projects
Автор: Alisa Turing
Издательство: Publifye
Год: 2025
Страниц: 203
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Math Code Projects unveils the synergy between mathematics and programming, demonstrating how coding can illuminate complex mathematical principles. By actively engaging with concepts like number theory, linear algebra, and calculus through Python, readers can transform passive learning into active discovery. The book showcases how number theory underpins cryptography for secure communication and how linear algebra facilitates image processing and data analysis. This book uniquely emphasizes hands-on learning. Starting with Python fundamentals, it progresses through mathematical domains, offering step-by-step code examples and practical projects. Each chapter builds upon the previous one, culminating in advanced projects that integrate multiple mathematical disciplines, such as simulating physical phenomena or creating optimization algorithms.