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 Название: Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation
Автор: Dinh Thai Hoang, Nguyen Van Huynh, Diep N. Nguyen
Издательство: Wiley-IEEE Press
Год: 2023
Страниц: 288
Язык: английский
Формат: epub (true)
Размер: 12.5 MB
Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems. Deep Reinforcement Learning empowered by deep neural networks (DNNs) has been developing as a promising solution to address high-dimensional and continuous control problems effectively. The integration of DRL into future wireless networks will revolutionize conventional model-based network optimization with model-free approaches and meet various application demands. By interacting with the environment, DRL provides an autonomous decision-making mechanism for the network entities to solve non-convex, complex, model-free problems, e.g. spectrum access, handover, scheduling, caching, data offloading, and resource allocation. This not only reduces communication overhead but also improves network security and reliability. Though DRL has shown great potential to address emerging issues in complex wireless networks, there are still domain-specific challenges that require further investigation. | |
Разместил: Ingvar16 8-07-2023, 22:09 | Комментарии: 0 | Подробнее
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 Название: PowerShell SysAdmin Crash Course: Unlock the Full Potential of PowerShell with Advanced Techniques, Automation, Configuration Management and Integration
Автор: Steeve Lee
Издательство: GitforGits
Год: 2023
Страниц: 387
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
Take control of your PowerShell skills and start learning today! Say goodbye to complicated IT tasks and embrace efficient system administration with "PowerShell SysAdmin Crash Course." With hands-on experience and over 50 examples and demonstrations, you will build a strong understanding of PowerShell and gain confidence in its application. "PowerShell SysAdmin Crash Course" is the ultimate guide for system administrators and PowerShell users. This comprehensive resource teaches you everything to know about PowerShell, from the console and cmdlets to scripting, modules, and more. You will learn essential topics like Active Directory Management, Windows Server, PowerShell Remoting, DSC, SCCM, and administering software updates. In addition, you will discover advanced techniques such as working with JSON and XML data, parallel processing, multithreading, and creating custom cmdlets and modules. You get to learn how to integrate PowerShell with automation and configuration management tools like Ansible, Puppet, and Chef, and how to use CI/CD tools like Jenkins. The book also covers integrating PowerShell with Bash and Python scripting and utilizing PowerShell Universal for running automation scripts through a single platform. | |
Разместил: Ingvar16 8-07-2023, 20:58 | Комментарии: 0 | Подробнее
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 Название: Statistics with Rust: 50+ Statistical Techniques Put into Action
Автор: Keiko Nakamura
Издательство: GitforGits
Год: 2023
Страниц: 346
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
Are you an experienced statistician or data professional looking for a powerful, efficient, and versatile programming language to turbocharge your data analysis and Machine Learning projects? Look no further! "Statistics with Rust" is your comprehensive resource to unlock Rust's true potential in modern statistical methods. This book is tailored specifically for statisticians and data professionals who are already familiar with the fundamentals of statistics and want to leverage the speed and reliability of Rust in their projects. Over 11 in-depth chapters, you will discover how Rust outperforms Python in various aspects of data analysis and Machine Learning and learn to implement popular statistical methods using Rust's unique features and libraries. "Statistics with Rust" begins by introducing you to Rust's programming environment and essential libraries for data professionals. You'll then dive into data handling, preprocessing, and visualization techniques that form the backbone of any statistical analysis. | |
Разместил: Ingvar16 8-07-2023, 19:30 | Комментарии: 0 | Подробнее
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 Название: C++ Networking 101: Unlocking Sockets, Protocols, VPNs, and Asynchronous I/O with 75+ sample programs
Автор: Anais Sutherland
Издательство: GitforGits
Год: 2023
Страниц: 364
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB
This book is an invaluable resource for aspiring network administrators aiming to deepen their understanding of networking concepts while strengthening their C++ programming skills. Across eleven chapters, this book bridges the gap between network administration and programming, providing readers a holistic approach to mastering network operations. Readers begin with a deep-dive into network fundamentals such as TCP/IP model, sockets, and protocols. They then progress to practical programming, employing C++ to establish TCP/UDP client-server connections, handle network errors, and deal with application layer protocols such as HTTP/HTTPS, FTP, SMTP, IMAP, and DNS. The book then guides readers through Virtual Private Networks (VPNs), detailing their importance, functioning, and distinct types of VPNs. It explores wireless networking and asynchronous programming, providing clear illustrations of WiFi, Bluetooth, and Zigbee setup using C++. It covers critical wireless standards and security protocols. For a comprehensive understanding, the book illustrates network configuration management using C++ to automate crucial network operations tasks, thus highlighting the power of programming in network management. | |
Разместил: Ingvar16 8-07-2023, 18:58 | Комментарии: 0 | Подробнее
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 Название: Bayesian Optimization in Action (MEAP v12)
Автор: Quan Nguyen
Издательство: Manning Publications
Год: 2023
Страниц: 593
Язык: английский
Формат: pdf, epub
Размер: 37.2 MB
Apply advanced techniques for optimizing Machine Learning processes. Bayesian optimization helps pinpoint the best configuration for your Machine Learning models with speed and accuracy. Bayesian Optimization in Action shows you how to optimize hyperparameter tuning, A/B testing, and other aspects of the machine learning process by applying cutting-edge Bayesian techniques. Using clear language, illustrations, and concrete examples, this book proves that Bayesian optimization doesn’t have to be difficult! You’ll get in-depth insights into how Bayesian optimization works and learn how to implement it with cutting edge Python libraries. The book’s easy-to-reuse code samples let you hit the ground running by plugging them straight into your own projects. | |
Разместил: Ingvar16 8-07-2023, 16:19 | Комментарии: 0 | Подробнее
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 Название: TensorFlow для глубокого обучения
Автор: Рамсундар Бхарат, Заде Р.Б.
Издательство: БХВ-Петербург
Год: 2019
Cтраниц: 250
Формат: djvu
Размер: 22 мб
Язык: русский
Книга знакомит с основами программной библиотеки TensorFlow и принципами глубокого обучения, начиная с нулевого уровня. В книге рассмотрены базовые вычисления в библиотеке TensorFlow, простые обучающиеся системы и их построение, полносвязные глубокие сети, прототипы и превращение прототипов в высококачественные модели, сверхточные нейронные сети и обработка изображений, рекуррентные нейронные сети и наборы естественно-языковых данных, способы обучения с максимизацией подкрепления на примере известных игр, приемы тренинга глубоких сетей с помощью графических и тензорных процессоров. | |
Разместил: rivasss 8-07-2023, 12:02 | Комментарии: 0 | Подробнее
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 Название: F# in Action (MEAP v7)
Автор: Isaac Abraham
Издательство: Manning Publications
Год: 2023
Страниц: 371
Язык: английский
Формат: pdf, epub
Размер: 12.7 MB
F# is designed to make functional programming practical and accessible, especially for developers working on the .NET platform. F# in Action teaches you the practical F# development skills you need to create professional applications. It’s based on author and Microsoft F# MVP Isaac Abraham’s years of experience working with developers as an F# consultant. You’ll upgrade your .NET development skills with the core principles of functional programming, and discover how F#’s functional-first approach makes it easy to learn this powerful paradigm. F# is a general-purpose programming language that’s designed to build systems that are robust, succinct and performant across Windows, Mac and Linux. It has a lightweight syntax, yet a powerful type-system and compiler. This makes it a compelling choice for writing applications, as it enables developers to rapidly model real-world systems in a way that does what they intend. It’s also an opinionated language with a set of characteristics that it is optimized towards. | |
Разместил: Ingvar16 8-07-2023, 08:24 | Комментарии: 0 | Подробнее
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 Название: Kubernetes Best Practices: Blueprints for Building Successful Applications on Kubernetes, 2nd Edition (Third Early Release)
Автор: Brendan Burns, Eddie Villalba, Dave Strebel, Lachlan Evenson
Издательство: O’Reilly Media, Inc.
Год: 2023-07-07
Страниц: 287
Язык: английский
Формат: epub (true), mobi, pdf
Размер: 11.1 MB
In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. They distill decades of experience from companies that are successfully running Kubernetes in production and provide concrete code examples to back the methods presented in this book. Revised to cover all the latest Kubernetes features, new tooling, and deprecations, this book is ideal for those who are familiar with basic Kubernetes concepts but want to get up to speed on the latest best practices. You'll learn exactly what you need to know to build your best app with Kubernetes the first time. | |
Разместил: Ingvar16 8-07-2023, 07:44 | Комментарии: 0 | Подробнее
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 Название: The Tao of Microservices, Second Edition (MEAP v3)
Автор: Richard Rodger
Издательство: Manning Publications
Год: 2023
Страниц: 160
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB
Adopting microservices means changing the way you think about the whole development process—from requirements to rollout. This book will show you the happy path. The Tao of Microservices was an instant classic, guiding thousands of developers at a time when microservices designs were still a bold new idea. This updated second edition is revised for a world where microservices are the de facto standard for enterprise development. This insightful guide helps engineers, architects, and technical leaders understand the principles of microservices that can be used with any project or stack. As you read, you’ll discover experience-based wisdom for making sensible tradeoffs and avoiding common pitfalls. Practically any application can be designed as a system of independent components, each of which handles a single responsibility. Individual microservices are easy for small teams without extensive knowledge of the entire system design to build and maintain. With microservices, your software is more resilient to bugs, better prepared for innovative new features, and allows more choice in tooling. | |
Разместил: Ingvar16 7-07-2023, 22:20 | Комментарии: 0 | Подробнее
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 Название: The Shape of dаta: Geometry-Based Machine Learning and Data Analysis in R
Автор: Colleen M. Farrelly, Yae Ulrich Gaba
Издательство: No Starch Press
Год: 2023
Страниц: 264
Язык: английский
Формат: epub (true), mobi
Размер: 11.8 MB
Whether you’re a mathematician, seasoned data scientist, or marketing professional, you’ll find The Shape of Data to be the perfect introduction to the critical interplay between the geometry of data structures and Machine Learning. This book’s extensive collection of case studies (drawn from medicine, education, sociology, linguistics, and more) and gentle explanations of the math behind dozens of algorithms provide a comprehensive yet accessible look at how geometry shapes the algorithms that drive data analysis. Throughout the book’s mathematical data analytics tour, we encounter the origin of data analysis on structured data and the many seemingly unstructured data scenarios that can be turned into structured data, which enables standard machine learning algorithms to perform predictive and prescriptive analytical insights. As we ride through the valleys and peaks of our data, we learn to collect features along the way that become key inputs into other data layers, forming geometrical interpretations of varying unstructured data sources including network data, images, and text-based data. In addition, Farrelly and Gaba are masterful in detailing the foundational and advanced concepts supported by the well-defined examples in both R and Python, available for download from their book’s web page. | |
Разместил: Ingvar16 7-07-2023, 19:17 | Комментарии: 0 | Подробнее
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