Название: Полное руководство по Claude Code — вайбкодинг с нуля
Автор: Stepik
Издательство: Stepik
Год: 2026
Формат: Docx
Страниц: много
Размер: 2.8 Mb
Язык: Русский

Практический курс по Claude Code для разработчиков: от установки и первых команд до безопасных permissions, CLAUDE.md, кастомных slash-команд, саб-агентов, Hooks, Skills и MCP. Разберем реальные сценарии: правки кода и UI по скриншоту, управление контекстом, автоматизация, тестинг и работа в headless-режиме.

Название: RAG Made Simple: The Complete Visual Guide to Retrieval-Augmented Generation
Автор: Nir Diamant
Издательство: Independently published
Серия: Super AI Engineering Series
Год: 2026
Страниц: 393
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

From the creator of the world's leading RAG learning resource - the 27,000-star RAG Techniques repository on GitHub. Stop drowning in code. Start understanding RAG. Most RAG books hand you 400 pages of Python and hope you piece the ideas together yourself. RAG Made Simple does the opposite. Every technique is taught through clear visual diagrams and plain-English analogies - so you actually understand why each method works before you ever touch a line of code. A visual guide to 22 retrieval-augmented generation techniques, explained through intuition and illustrations instead of code. Who this book is for: AI engineers, ML practitioners, software developers, and technical leaders who want to build RAG systems that actually work in production - without wading through hundreds of pages of boilerplate code. If you have tried building a RAG system and found that the basic approach works sometimes but fails in frustrating, unpredictable ways, this book will help you understand why and give you a toolkit of solutions. Why trust this book? Its companion open-source repository is used by hundreds of thousands of developers worldwide and has earned over 27,000 GitHub stars - making it the most trusted RAG learning resource in the world.

Название: Cloud Native Architecture: Efficiently moving legacy applications and monoliths to microservices and Kubernetes
Автор: Fernando Harris
Издательство: BPB Publications
Год: 2024
Страниц: 256
Язык: английский
Формат: pdf (true)
Размер: 30.8 MB

How to plan, design, manage, build, and run monoliths and microservices in an agnostic, scalable, and highly available cloud-native architecture with Kubernetes. The book “Cloud Native Architecture” explains how to plan, manage, build, and run monoliths and microservices in an agnostic, scalable, and highly available cloud-native runtime such as Kubernetes. This is done by effectively applying DevOps principles through the tactical use of CNCF tools. You will start by learning about cloud-native technology's history and business reasons. This will help you understand its five key pillars: open-source, containers, distributed architectures, operational benefits, and DevOps integration. You will learn how to adapt processes like DevOps, Chaos Engineering, Automation, and API First. We will cover automating infrastructure with tools like Prometheus and Grafana, using Kubernetes for container management, and designing applications with microservices. Practical exercises will include setting up CI/CD pipelines with Jenkins and ensuring Kubernetes security. This book is for developers, architects, and solution consultants who are now exploring cloud-native architecture principles for design and development with Agile and DevOps to modernize existing applications or create brand-new cloud-native products.

Название: Advanced Machine Learning: Fundamentals and algorithms
Автор: Amit Kumar Tyagi, Khushboo Tripathi, Avinash Kumar Sharma
Издательство: BPB Publications
Год: 2024
Страниц: 520
Язык: английский
Формат: pdf (true)
Размер: 34.4 MB

Our book is divided into several useful concepts and techniques of Machine Learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with Deep Learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the Machine Learning and Deep Learning algorithms. This book is ideal for students, professors, and researchers. It equips industry experts and academics with the technical know-how and practical implementations of Machine Learning algorithms.

Название: I Have an App Idea: The Essential Guide to Building an App Without Tech Skills
Автор: Amanda Spann
Издательство: Indigo River Publishing
Год: 2026
Страниц: 270
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

I Have an App Idea is the ultimate resource for aspiring app entrepreneurs without a technical background. This workbook offers a step-by-step roadmap to guide nontechnical founders from concept to launch with confidence. Designed to break down the complexities of app development, it combines Amanda Spann's personal experiences and proven strategies with interactive activities and worksheets that provide hands-on support every step of the way. Through relatable stories, real-life examples, and practical tools, Amanda helps founders avoid costly mistakes and build products primed for success. With each chapter, readers will uncover strategies to validate their ideas, build sustainable businesses, communicate effectively with developers, and manage the development process, ensuring founders remain empowered and in control. This book demystifies app entrepreneurship, clarifies the essentials, and offers a solid foundation for creating scalable products without the overwhelm.

Название: Quantum Robustness in Artificial Intelligence: Principles and Applications
Автор: Muhammad Usman
Издательство: Springer
Год: 2026
Страниц: 457
Язык: английский
Формат: pdf (true), epub
Размер: 70.9 MB

This book surveys state-of-the-art research on adversarial robustness of Quantum Machine Learning algorithms. Despite their high efficiency and accuracy, classical ML and AI algorithms can be easily fooled by an adversary through manipulation or spoofing of data (also known as adversarial attacks), which poses serious security ramifications. On the other hand, the integration of quantum computing in ML and AI is progressing rapidly to create new quantum ML/AI models which are designed to fundamentally exploit quantum mechanical properties to gain advantages in aspects such as training speed or feature extraction accuracy. This raises the important question of whether quantum AI algorithms are as vulnerable as classical AI models. Recent work has shown that quantum AI algorithms are remarkably robust against adversarial attacks. This offers a unique opportunity to leverage quantum computing, specifically its unique properties like superposition and entanglement, to develop highly resistant quantum AI systems. This book provides a comprehensive overview of the research in the emerging field of quantum adversarial AI, presenting seminal work from world-leading quantum AI experts on quantum AI and its benchmarking against adversarial attacks.

Название: Learning Generative AI Tools for Excel: Speed Up Your Everyday Tasks with Microsoft Excel, Copilot, ChatGPT, and Beyond (Final Release)
Автор: Angelica Lo Duca
Издательство: O’Reilly Media, Inc.
Год: 2026
Страниц: 391
Язык: английский
Формат: True PDF, True EPUB
Размер: 88.8 MB

Looking to take your Excel skills to the next level? With the power of AI, you can supercharge your workflows, automate repetitive tasks, and perform advanced data analysis. Written for Excel users with little to no AI experience, this book bridges the gap between traditional spreadsheet skills and the revolutionary capabilities of generative AI—empowering professionals to work smarter, faster, and with greater precision. Whether you're a data analyst, financial professional, project manager, or Excel enthusiast, this book will give you practical tutorials and actionable insights for integrating AI into your everyday work. Learn how to prepare, analyze, and visualize data using tools like ChatGPT and Copilot, and leverage AI's power to generate insights that drive better business decisions. With its step-by-step guidance, this book will be your go-to reference as you unlock a new level of productivity and analytical expertise. I’m a computer engineer, and programming has been a steady companion for many years, so writing a chapter that brings together Python, AI, and Excel is something I genuinely enjoy. Using Python turns Excel into an even more potentially. You don’t need to become a full-fledged programmer either. Today, AI can support you even if your coding experience is limited.

Название: Artificial Neural Networks for System Identification and Control
Автор: Serhat Seker, Tahir Cetin Akinci, Alfredo A. Martinez‐Morales
Издательство: CRC Press
Год: 2026
Страниц: 115
Язык: английский
Формат: pdf (true), epub
Размер: 28.8 MB

In an age where intelligent systems are transforming engineering practice, Artificial Neural Networks for System Identification and Control offers a clear roadmap to mastering Artificial Intelligence (AI)‑driven modeling and control. From mathematical neuron models to adaptive Artificial Neural Network (ANN)‑based controllers, this book combines theory, algorithms, and hands‑on coding to help readers design and analyze intelligent systems. Rich with visual examples and real‑world case studies, it demonstrates how neural networks outperform traditional control methods in handling nonlinearity, uncertainty, and dynamic system behavior. Artificial Neural Networks (ANNs) have transformed the landscape of system identification and control, offering unparalleled capabilities in handling nonlinear systems, optimizing performance, and adapting to various operational conditions. This book, Artificial Neural Networks for System Identification and Control, aims to provide a comprehensive understanding of the theoretical foundations, mathematical models, and practical applications of ANNs in these critical areas. The Python scripts utilize widely used libraries like NumPy for numerical computations, Matplotlib for visualization, and Scikit-learn for constructing and training neural networks.

Название: Rust All-in-One For Dummies
Автор: Paul McFedries
Издательство: For Dummies
Год: 2026
Страниц: 706
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Your guide to the programming language that's revolutionizing software development. Ready to learn Rust, the language that combines blazing performance with memory safety? Rust All-in-One For Dummies takes you from complete beginner to confident developer, covering the essentials of writing Rust code through applying it to real-world projects. Unlike programming books that throw you into the deep end, Rust All-in-One For Dummies builds your skills systematically. Each mini-book contained in this All-in-One reference focuses on a specific aspect of Rust development, complete with hands-on projects that apply what you've learned. Whether you're writing your first line of code or adding Rust to your programming toolkit, you'll discover how to harness its unique features to build everything from command-line tools to web applications. Perfect for complete beginners starting their programming journey and experienced developers ready to explore why Rust consistently ranks as the most loved programming language. Join the community that's discovered Rust isn't just another language – it's the future of safe, fast, and reliable software development.

Название: Generative AI on Microsoft Azure: From Large Language Models to Advanced Multi-Agent Systems
Автор: Adrián González Sánchez, Jaime De Mora, Jorge García Ximénez
Издательство: O’Reilly Media, Inc.
Год: 2026
Страниц: 323
Язык: английский
Формат: True PDF, True EPUB
Размер: 18.9 MB

Companies are now moving Generative AI projects out of the lab and into production environments. To support these increasingly sophisticated applications, they’re turning to advanced practices such as multi-agent architectures and complex code-based frameworks. This practical handbook shows you how to leverage cutting-edge techniques using Microsoft’s powerful ecosystem of tools to deploy trustworthy AI systems tailored to your organization’s needs. Written for and by AI professionals, Generative AI on Microsoft Azure goes beyond the technical core aspects, examining underlying principles, tools, and practices in depth, from the art of prompt engineering to strategies for fine-tuning models to advanced techniques like retrieval-augmented generation (RAG) and agentic AI. Through real-world case studies and insights from top experts, you’ll learn how to harness AI’s full potential on Azure, paving the way for groundbreaking solutions and sustainable success in today’s AI-driven landscape. Generative AI (GenAI) is evolving at a pace few technologies have ever matched. Implement advanced GenAI applications using Microsoft services like Microsoft Foundry, Copilot, GitHub Models, Azure Databricks, and Snowflake on Azure.