Название: Prompt Engineering in Action (MEAP v4)
Автор: Naresh Vurukonda, Shivendra Srivastava
Издательство: Manning Publications
Год: 2025
Страниц: 244
Язык: английский
Формат: pdf (true), epub
Размер: 21.1 MB

Tested techniques for writing excellent AI prompts! Each LLM seems to have a mind of its own, and it can be challenging to get the exact results you want. Prompt Engineering in Action teaches you to write prompts that generate the text and code you want, regardless of the LLM you choose. In it, you’ll discover structured and reusable prompt patterns that reduce hallucinations, customize LLMs to specific tasks, and improve the quality of your code generation. Prompt Engineering in Action teaches universal prompting principles, each illustrated with concise examples of a prompt in action. You’ll find more than just simple prompt-and-response methods. It goes beyond the basics of prompting to explore reusability, scaling for prompts, and managing stochastic responses. Dive into prompt patterns such as Persona, Game-Play, and Recipe patterns, and into emerging techniques such as Retrieval-Augmented Generation (RAG) and dynamic agents. You’ll soon be building solutions that are efficient, accurate, and highly adaptable for real-world applications. For readers familiar with the basics of working with LLMs.

Название: Refactoring to Rust (MEAP V10)
Автор: Lily Mara, Joel Holmes
Издательство: Manning Publications
Год: 2025
Страниц: 365
Язык: английский
Формат: pdf (true), epub
Размер: 17.1 MB

Get the speed and reliability of Rust libraries, functions, and high-performance features through incremental adoption without rewriting your codebase from scratch. Refactoring to Rust teaches you how to take advantage of Rust’s easy-to-use interoperating mechanisms. Learn practical code-mixing techniques like embedding Rust libraries into apps written in other languages. This practical guide emphasises techniques for incrementally refactoring performance-critical code to Rust while keeping the rest of your application in its original language. Refactoring to Rust teaches you to combine your favorite programming language with high-performance Rust code. You’ll augment programs with Rust hands-on with approachable examples like solving FizzBuzz with Rust’s pattern matching and gaining enormous runtime speedups to Python code. When you’re done, you’ll have mastered techniques for building Rust plugins you can apply to all kinds of existing software, from games to data tools.

Название: Machine Learning for C# Developers: Build smart applications with ML.NET (MEAP V03)
Автор: Fiodar Sazanavets
Издательство: Manning Publications
Год: 2025
Страниц: 198
Язык: английский
Формат: pdf (true), epub
Размер: 24.1 MB

Create production quality Machine Learning models in C# without leaving the .NET ecosystem. Machine Learning for C# Developers teaches you how to build powerful Machine Learning (ML) models using your C# and .NET skills—no Python required! You’ll learn how to use the innovative ML.NET framework to build a virtual assistant that can recognize objects, classify software errors, estimate salaries from a job description, and more. Machine Learning for C# Developers opens up the world of Machine Learning to C# and .NET developers. In it, you’ll find full coverage of the new ML.NET framework that’s at the forefront of Microsoft’s AI developments. Through careful, step-by-step guidance you’ll learn how to deliver everything from simple machine learning tools to complex Deep Learning models—no Python required.

Название: Docker простым языком
Автор: Матвей Чудневцев, Михаил Новичихин
Издательство: Stepik
Год: 2025
Формат: PDF
Страниц: 415
Размер: 26 Mb
Язык: Русский

Мы создали этот курс, потому что многие разработчики и администраторы слышат о Docker как о чем-то очень полезном, но не понимают, как он на самом деле работает и почему стал стандартом в индустрии.

Название: PowerShell: Module Management
Автор: Laszlo Bocso
Издательство: Independently published
Год: November 8, 2024
Страниц: 277
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"PowerShell: Module Management" is the definitive guide for IT professionals, system administrators, and developers looking to master the art of creating, managing, and distributing PowerShell modules. This comprehensive book takes you on a journey from understanding the basics of PowerShell modules to implementing advanced techniques for module development and deployment. PowerShell is more than just a scripting language; it is a versatile automation platform. The knowledge you gain from this book will enable you to harness the full power of PowerShell modules, transforming how you approach scripting and automation in your professional and personal projects. A PowerShell module is a package that contains PowerShell members, such as cmdlets, functions, variables, and aliases. Modules encapsulate these resources into reusable units, making it easier to organize and share PowerShell code. They can be thought of as libraries or packages in other programming languages, providing a way to extend PowerShell's functionality and create custom toolsets.

Название: Federated Learning Systems: Towards Privacy-Preserving Distributed AI
Автор: Muhammad Habib ur Rehman, Mohamed Medhat Gaber
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2025
Страниц: 179
Язык: английский
Формат: pdf (true), epub
Размер: 19.3 MB

This book dives deep into both industry implementations and cutting-edge research driving the Federated Learning (FL) landscape forward. FL enables decentralized model training, preserves data privacy, and enhances security without relying on centralized datasets. Industry pioneers like NVIDIA have spearheaded the development of general-purpose FL platforms, revolutionizing how companies harness distributed data. Alternately, for medical AI, FL platforms, such as FedBioMed, enable collaborative model development across healthcare institutions to unlock massive value. Research advances in PETs highlight ongoing efforts to ensure that FL is robust, secure, and scalable. Looking ahead, Federated Learning could transform public health by enabling global collaboration on disease prevention while safeguarding individual privacy. From recommendation systems to cybersecurity applications, FL is poised to reshape multiple domains, driving a future where collaboration and privacy coexist seamlessly.

Название: Engineering Elixir Applications: Navigate Each Stage of Software Delivery with Confidence
Автор: Ellie Fairholm, Josep Giralt D’Lacoste
Издательство: Pragmatic Bookshelf
Год: 2025
Страниц: 450
Язык: английский
Формат: pdf (true), epub
Размер: 19.1 MB

The days of separate dev and ops teams are over - knowledge silos and the "throw it over the fence" culture they create are the enemy of progress. As an engineer or developer, you need to confidently own each stage of the software delivery process. This book introduces a new paradigm, BEAMOps, that helps you build, test, deploy, and debug BEAM applications. Create effective development and deployment strategies; leverage continuous improvement pipelines; and ensure environment integrity. Combine operational orchestrators such as Docker Swarm with the distribution, fault tolerance, and scalability of the BEAM, to create robust and reliable applications. BEAMOps starts by building a solid foundation for your project. On the infrastructure side, see how to use Terraform before you even start coding to automate your deployment and operations. On the project management side, we show you how to use issues and milestones to simplify tracking; you'll use this foundation as you go through the book, implementing each of the steps required to deploy a scalable Elixir application.

Название: Advances in Optimization Algorithms for Multidisciplinary Engineering Applications
Автор: Diego Oliva, Arturo Valdivia, Seyed Jalaleddin Mousavirad, Kanak Kalita
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2025
Страниц: 798
Язык: английский
Формат: pdf (true)
Размер: 48.9 MB

This book is an authoritative compilation of the latest advancements in optimization techniques. This book covers a wide array of methods ranging from classical to metaheuristic to AI-enhanced approaches. The chapters are meticulously selected and organized in three sections—metaheuristics, Machine Learning and engineering applications. This allows for an in-depth exploration of diverse topics ranging from image processing to feature selection to data clustering, to practical applications like energy optimization, smart grids, healthcare diagnostics, etc. Each chapter delves into the specific algorithms and applications as well as provides ample theoretical insights. Accordingly, this book is ideally suited for undergraduate and postgraduate students in fields such as science, engineering and computational mathematics. It is also an invaluable resource for courses on Artificial Intelligence, Computational Intelligence, etc. Researchers and professionals in evolutionary computation, Artificial Intelligence and engineering will find the material especially useful for advancing their work and exploring new frontiers in optimization.

Название: Python From Zero to Hero: Volume 1-4
Автор: Maxwell Innovations
Издательство: Maxwell Innovations
Год: 2024
Страниц: 824+209+281+217
Язык: английский
Формат: epub
Размер: 10.1 MB

Unlock the Secrets of Python Mastery with This Ultimate Guide! Are you ready to skyrocket your Python programming skills and become a coding superstar? Look no further! This comprehensive, all-in-one book is your ticket to mastering Python, whether you're a complete beginner or an experienced coder looking to up your game. As you reach the conclusion of this guide, you have gained a solid foundation in Python programming, from understanding basic syntax to building complex projects. However, learning is an ongoing journey, especially in the ever-evolving field of programming. This final chapter is designed to help you transition from a learner to a practitioner who continually grows and contributes to the Python community. We'll explore best practices that will elevate the quality of your code, provide resources to further expand your knowledge, and guide you on how to become an active member of the vibrant Python ecosystem.

Название: Federated Cyber Intelligence: Federated Learning for Cybersecurity
Автор: Hamed Tabrizchi, Ali Aghasi
Издательство: Springer
Серия: SpringerBriefs in Computer Science
Год: 2025
Страниц: 119
Язык: английский
Формат: pdf (true), epub (true), mobi
Размер: 10.1 MB

This book offers a detailed exploration of how Federated Learning can address critical challenges in modern cybersecurity. It begins with an introduction to the core principles of Federated Learning (FL). Then it highlights a strong foundation by exploring the fundamental components, workflow, and algorithms of Federated Learning, alongside its historical development and relevance in safeguarding digital systems. The subsequent sections offer insight into key cybersecurity concepts, including confidentiality, integrity, and availability. It also offers various types of cyber threats, such as malware, phishing, and advanced persistent threats. This book provides a practical guide to applying Federated Learning in areas such as intrusion detection, malware detection, phishing prevention, and threat intelligence sharing. It examines the unique challenges and solutions associated with this approach, such as data heterogeneity, synchronization strategies and privacy-preserving techniques.