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  • Добавил: literator
  • Дата: 25-09-2024, 18:27
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Название: ActivityPub: Programming for the Social Web (Final Release)
Автор: Evan Prodromou
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 750
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

ActivityPub is the new standard for connecting social networks together on the social web. This open, decentralized social networking protocol defines an API for sharing activities to a social network and a procedure that servers use to distribute those activities to a subscriber's feed. With this book, you'll learn how to assemble ActivityPub-enabled clients for making new kinds of social apps on top of existing networks and build ActivityPub servers that create new human or automated accounts on the social web. With those skills under your belt, you can explore other applications of this publish-subscribe technology: content management systems, Internet of Things, and enterprise automation. With hands-on examples and in-depth knowledge from Evan Prodromou, one of the authors of the protocol, this is the ActivityPub handbook that every social software hacker needs. This book uses many examples in jаvascript Object Notation (JSON), jаvascript, and Python. Each language gets a brief description when it is introduced, but familiarity with JSON as a data format, and jаvascript and Python as programming languages, will be a big help in understanding the examples. However, I try not to use too many fancy features of each language, so if you’re familiar with any modern programming language, you should be able to puzzle out the examples. It can help to be familiar with the architecture of the web, including how Hypertext Transfer Protocol (HTTP) works and how Hypertext Markup Language (HTML) pages are developed. Experience with application programming interfaces (APIs), especially APIs for social networks like X or Facebook, can be helpful to understand the motivation for some examples but isn’t strictly required. This book is primarily for software developers interested in creating ActivityPub client or server software. It could also be useful for software architects or designers who are considering how to structure an ActivityPub-centric project.
  • Добавил: literator
  • Дата: 25-09-2024, 17:31
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Название: Head First jаvascript Programming: A Learner's Guide to Modern jаvascript, 2nd Edition
Автор: Eric Freeman, Elisabeth Robson
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 1043
Язык: английский
Формат: epub
Размер: 147.3 MB

The new edition of this brain-friendly guide takes you through a comprehensive journey into modern jаvascript, covering everything from core language fundamentals to today's cutting-edge features. You'll dive into the nuances of jаvascript types and the unparalleled flexibility of its functions. You'll also learn how to expertly navigate classes and objects, and finally understand closures. But that's just the beginning. You'll also get hands-on with the browser's document object model (DOM), engaging with jаvascript in exciting ways. You won't just be reading—you'll be playing games, solving puzzles, pondering mysteries, and interacting with jаvascript as never before. And you'll write real code, lots of it, so you can start building your own applications. jаvascript is a programming language that didn’t come up through the ivy leagues with plenty of time for academic peer review. jаvascript was thrown out into the world out of necessity and grew up in the early browser neighborhood. jаvascript has been through quite the journey to get to where it is today: a fast, brilliant, modern language that is the programming language of the web. In this book, we explore modern jаvascript, covering the updated syntax and semantics that make coding more efficient and effective. We provide practical examples and best practices to help you master today’s jаvascript and build dynamic, robust applications.
  • Добавил: literator
  • Дата: 25-09-2024, 10:43
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Название: Reverse Engineering with Terraform: An Introduction to Infrastructure Automation, Integration, and Scalability using Terraform
Автор: Sumit Bhatia, Chetan Gabhane
Издательство: Apress
Год: 2024
Страниц: 288
Язык: английский
Формат: pdf (true), epub (true)
Размер: 12.0 MB

This book is a comprehensive guide for employing Terraform in infrastructure as code automation, and its application to infrastructure operations. Reverse Engineering with Terraform begins with an introduction to Terraform’s core functionalities, including state files, configuration files, and providers, followed by a deep dive into the tool. You’ll then learn how to pinpoint problems with Terraform automation and how reverse engineering can help you resolve them. Drilling down, authors Sumit Bhatia and Chetan Gabhane walk you through the various steps in reverse engineering with an eye towards more effective Terraform integration with preexisting and legacy IT infrastructure. Using a real-world reverse engineering example, they demonstrate how to import a preexisting resource into your infrastructure, which can help you develop an automatable and scalable method for Terrraform adoption. You’ll also learn how to create reusable, shareable components to streamline infrastructure code and foster collaboration within teams, and advanced techniques for using Terraform to optimize infrastructure provisioning, configuration, and management.For IT architects, admins, technical managers, and infrastructure solution experts. Minimal knowledge of Python programming is the only prerequisite.
  • Добавил: literator
  • Дата: 24-09-2024, 20:09
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Название: AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Автор: Arvind Narayanan, Sayash Kapoor
Издательство: Princeton University Press
Год: 2024
Страниц: 360
Язык: английский
Формат: epub (true)
Размер: 14.1 MB

From two of TIME’s 100 Most Influential People in AI, what you need to know about AI—and how to defend yourself against bogus AI claims and products. Confused about Artificial Intelligence (AI) and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works and why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will. While acknowledging the potential of some AI, such as ChatGPT, AI Snake Oil uncovers rampant misleading claims about the capabilities of AI and describes the serious harms AI is already causing in how it’s being built, marketed, and used in areas such as education, medicine, hiring, banking, insurance, and criminal justice. The book explains the crucial differences between types of AI, why organizations are falling for AI snake oil, why AI can’t fix social media, why AI isn’t an existential risk, and why we should be far more worried about what people will do with AI than about anything AI will do on its own. The book also warns of the dangers of a world where AI continues to be controlled by largely unaccountable big tech companies. By revealing AI’s limits and real risks, AI Snake Oil will help you make better decisions about whether and how to use AI at work and home.
  • Добавил: Chipa
  • Дата: 24-09-2024, 19:31
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Название: Горутины и каналы в Go: задачи с собеседований и паттерны
Автор: Георгий Самойлов, Иван Ильченко
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 5 Mb
Язык: Русский

Горутины и каналы являются одной из главнейших фишек в Go, задачи про которые ОЧЕНЬ любят на собеседованиях.
  • Добавил: literator
  • Дата: 24-09-2024, 15:58
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Название: The Rise of AI Agents: Integrating AI, Blockchain Technologies, and Quantum Computing (Early Release)
Автор: Petar Radanliev
Издательство: Addison-Wesley/Pearson
Год: 2025
Страниц: 368
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Discover the Future of Technology with The Rise of AI Agents. In The Rise of AI Agents, you'll explore how Artificial Intelligence (AI), Blockchain, and Quantum Computing are revolutionizing the world. This book goes beyond theory, offering a practical and insightful journey into the possibilities and challenges of these groundbreaking technologies. Drawing from years of experience in AI, Cybersecurity, and Quantum Computing, Dr. Petar Radanliev aims to bridge academic research with real-world application. Whether you're a professional looking to apply cutting-edge solutions or a student eager to stay ahead of the curve, this book will provide valuable insights into the ever-evolving tech landscape. The Rise of AI Agents offers a holistic view of these interconnected technologies, making complex topics easy to grasp for readers of all backgrounds. It's not just about understanding the theories-this book equips you with the tools to apply them in real-world scenarios. This book is designed to inspire and inform, giving you the knowledge and confidence to navigate and thrive in the fast-paced world of AI, Blockchain, and Quantum Computing.
  • Добавил: literator
  • Дата: 24-09-2024, 14:54
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Название: Ultimate Deepfake Detection Using Python: Master Deep Learning Techniques like CNNs, GANs, and Transformers to Detect Deepfakes in Images, Audio, and Videos Using Python
Автор: Nimrita Koul
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 306
Язык: английский
Формат: epub (true)
Размер: 91.6 MB

Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection. In today's digital world, mastering deepfake detection is crucial, with deepfake content increasing by 900% since 2019 and 96% used for malicious purposes like fraud and disinformation. "Ultimate Deepfake Detection with Python" equips you with the skills to combat this threat using Python’s AI libraries, offering practical tools to protect digital security across images, videos, and audio. This book explores generative AI and deepfakes, giving readers a clear understanding of how these technologies work and the challenges of detecting them. With practical Python code examples, it provides the tools necessary for effective deepfake detection across media types like images, videos, and audio. Each chapter covers vital topics, from setting up Python environments to using key datasets and advanced Deep Learning techniques. Whether building new detection systems or improving current ones, this book offers expert strategies to stay ahead in digital media security. This book is structured into ten comprehensive chapters that guide you through the essential aspects of deepfake detection. It begins with the foundational concepts of generative models and deepfake technology, exploring the principles behind detecting deepfake media. You will then learn about Python as a powerful tool for deepfake detection, followed by an in-depth examination of the relevant datasets and deep learning approaches critical for building robust detection systems. The book provides detailed Python code for creating deepfake detection systems specifically tailored to images, videos, and audio. Finally, it culminates in a thorough case study of an award-winning deepfake detection system, offering practical insights and expert techniques.
  • Добавил: tatanavip
  • Дата: 24-09-2024, 13:53
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Название: Обработка больших данных
Автор: Джейд Картер
Издательство: Литрес
Год: 2024
Формат: pdf, epub
Размер: 11 Мб
Качество: Хорошее
Язык: Русский

Книга является пособием для изучения технологий больших данных, охватывая основные и продвинутые аспекты работы с данными в распределенных системах. Начав с основ, она объясняет значение БД, их эволюцию и экосистему Hadoop, включая компоненты и инструменты: HDFS, MapReduce, Hive, Pig, HBase, Sqoop и Flume.
Автор раскрывает архитектуру и принципы работы Apache Hadoop, а также примеры использования MapReduce и работу с данными в HDFS, Apache Spark, описывая его основные компоненты, такие как RDD, DataFrames, Spark SQL, Spark Streaming, MLLib и GraphX, и предоставляет практические примеры установки и настройки.
  • Добавил: Igor1977
  • Дата: 24-09-2024, 08:40
  • Комментариев: 0

Название: Разработка мобильных приложений
Автор: Нурпеисова Г.Б., Нурпеисова Т.Б., Кайдаш И.Н., Панюкова Д.В.
Издательство: Алматы: Бастау
Год: 2020
Формат: pdf
Страниц: 324
Размер: 14 mb
Язык: русский

В данном учебном пособии рассматриваются современные мобильные технологии и платформы разработки мобильных приложений. Представлена их классификация.
Учебное пособие является руководством по созданию приложений для мобильных платформ Android и, частично, iOS. Пособие представляет собой комплекс теоретических и практических учебных материалов для студентов бакалавриата по направлению подготовки 6В061 Информационно-коммуникационные технологии, магистрантов, преподавателей, обеспечивающих учебный процесс по дисциплинам, связанным с мобильными и клиент-серверными приложениями.
  • Добавил: literator
  • Дата: 24-09-2024, 03:20
  • Комментариев: 0
Название: Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI
Автор: Marjorie McShane, Sergei Nirenburg, Jesse English
Издательство: The MIT Press
Год: 2024
Страниц: 337
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

A novel approach to hybrid AI aimed at developing trustworthy agent collaborators. The vast majority of current AI relies wholly on Machine Learning (ML). However, the past thirty years of effort in this paradigm have shown that, despite the many things that ML can achieve, it is not an all-purpose solution to building human-like intelligent systems. One hope for overcoming this limitation is hybrid AI: that is, AI that combines ML with knowledge-based processing. In Agents in the Long Game of AI, Marjorie McShane, Sergei Nirenburg, and Jesse English present recent advances in hybrid AI with special emphases on content-centric computational cognitive modeling, explainability, and development methodologies. At present, hybridization typically involves sprinkling knowledge into an ML black box. The authors, by contrast, argue that hybridization will be best achieved in the opposite way: by building agents within a cognitive architecture and then integrating judiciously selected ML results. This approach leverages the power of ML without sacrificing the kind of explainability that will foster society’s trust in AI. This book shows how we can develop trustworthy agent collaborators of a type not being addressed by the “ML alone” or “ML sprinkled by knowledge” paradigms—and why it is imperative to do so.