Название: Designing and Developing Secure Azure Solutions
Автор: Michael Howard, Heinrich Gantenbein, Simone Curzi
Издательство: Microsoft Press/Pearson Education
Серия: Developer Best Practices
Год: 2023
Страниц: 528
Язык: английский
Формат: epub
Размер: 30.5 MB

Plan, build, and maintain highly secure Azure applications and workloads. As business-critical applications and workloads move to the Microsoft Azure cloud, they must stand up against dangerous new threats. That means you must build robust security into your designs, use proven best practices across the entire development lifecycle, and combine multiple Azure services to optimize security. Now, a team of leading Azure security experts shows how to do just that. Drawing on extensive experience securing Azure workloads, the authors present a practical tutorial for addressing immediate security challenges, and a definitive design reference to rely on for years. Learn how to make the most of the platform by integrating multiple Azure security technologies at the application and network layers taking you from design and development to testing, deployment, governance, and compliance.

Название: Optimization Algorithms for Distributed Machine Learning
Автор: Gauri Joshi
Издательство: Springer
Год: 2023
Страниц: 137
Язык: английский
Формат: pdf (true), epub
Размер: 19.9 MB

Stochastic gradient descent (SGD) is the backbone of supervised Machine Learning training today. Classical SGD was designed to be run on a single computing node, and its error convergence with respect to the number of iterations has been extensively analyzed and improved in optimization and learning theory literature. However, due to the massive training datasets and models used today, running SGD at a single node can be prohibitively slow. This calls for distributed implementations of SGD, where gradient computation and aggregation are split across multiple worker nodes. Although parallelism boosts the amount of data processed per iteration, it exposes SGD to unpredictable node slowdown and communication delays stemming from variability in the computing infrastructure. Thus, there is a critical need to make distributed SGD fast, yet robust to system variability. In this book, we will discuss state-of-the-art algorithms in large-scale Machine Learning that improve the scalability of distributed SGD via techniques such as asynchronous aggregation, local updates, quantization and decentralized consensus.

Название: Машинное обучение и Искусственный Интеллект
Автор: Тимур Машнин
Издательство: Литрес
Год: 2022
Формат: pdf
Размер: 39 Мб
Качество: Хорошее
Язык: Русский

Эта книга будет интересна всем, кто хочет научиться применять Python 3 при разработке в области искусственного интеллекта и машинного обучения. С этой книгой Вы познакомитесь с основными терминами и понятиями ИИ, такими как машинное обучение, глубокое обучение и нейронные сети. Научитесь создавать чат-ботов с использованием IBM Watson на платформе Watson Assistant. Узнаете как можно использовать искусственный интеллект IBM Watson для своих собственных разработок. На реальных примерах познакомитесь с такими алгоритмами машинного обучения, как регрессия, классификация и кластеризация. Познакомитесь с глубоким машинным обучением и научитесь создавать нейронные сети с Keras и TensorFlow.

Название: Симулятор Machine Learning Engineer продвинутая практика
Автор: Валерий Бабушкин, Станислав Гафаров, Богдан Печёнкин
Издательство: Интернет-издание
Год: 2022
Формат: PDF
Страниц: 106
Размер: 108 Mb
Язык: Русский

Чему Вы научитесь: Строить дашборды и писать SQL запросы. Оценивать влияние моделей на показатели бизнеса с помощью A/B-тестов. Деплоить модели и создавать свои микросервисы для ML

Название: Применение функций OpenCV в компьютерном зрении (60 примеров на Python)
Автор: Молодяков С.А.
Издательство: СПб.: Изд-во Политехн. ун-та
Год: 2022
Формат: pdf
Страниц: 296
Размер: 11 mb
Язык: русский

Излагаются вопросы обработки изображений с применением функций библиотеки OpenCV. Представлены 60 примеров программ, написанных на языке Python.
Примеры разделены на три уровня алгоритмов: простой низкоуровневой обработки изображений, сегментирования и высокоуровневой обработки (распознавания); а также обработки видео. Представленные примеры являются рабочими программами, которые написаны студентами высшей школы программной инженерии Санкт-Петербургского политехнического университета.
Монография предназначена для начинающих инженеров и специалистов в области проектирования и применения видеосистем для обработки изображений.
Примеры программ позволяют упростить изучение алгоритмов компьютерного зрения и функций библиотеки OpenCV, а также процесс экспериментирования над изображениями.

Название: Prometheus: Up & Running, 2nd Edition (Third Early Release)
Автор: Julien Pivotto, Brian Brazil
Издательство: O’Reilly Media, Inc.
Год: 2022-11-28
Страниц: 370
Язык: английский
Формат: epub, mobi
Размер: 10.2 MB

Get up to speed with Prometheus, the metrics-based monitoring system used in production by tens of thousands of organizations. This updated second edition provides site reliability engineers, Kubernetes administrators, and software developers with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters. Prometheus server maintainer Julien Pivotto and core developer Brian Brazil demonstrate how you can use Prometheus for application and infrastructure monitoring. This book guides you through Prometheus setup, the Node Exporter, and the Alertmanager, and then shows you how to use these tools for application and infrastructure monitoring.

Название: Winning the National Security AI Competition: A Practical Guide for Government and Industry Leaders
Автор: Chris Whitlock, Frank Strickland
Издательство: Apress
Год: 2023
Страниц: 242
Язык: английский
Формат: pdf, epub
Размер: 10.9 MB

Successfully identify, structure, and execute Artificial Intelligence (AI) programs and projects necessary for the nation to secure an advantage in a highly competitive space. Over eight chapters, this book conveys the principles and best practices needed by government and industry leaders at multiple levels. The book begins with a case for action and a differentiated way for AI leaders and their customers to think and communicate about AI. We then address the programming and budgeting elements of this challenge facing senior executives and program managers. For those engaged in actual AI work, the project and data science chapters cover the essential elements needed to guide teams and contribute effectively as a leader. Lastly the book covers critical enabling areas: leading data science practitioners and others on the AI team, and navigating technology choices through an understanding of the underlying technologies in the AI solution stack.

Название: Become A Ninja With Angular (v15.0.0)
Автор: Ninja Squad
Издательство: Ninja Squad
Год: 2022-11-16
Страниц: 328
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Книга "Стань ниндзя с Angular" поможет программистам понять философию Angular на практике (в настоящее время 15.0.0 ), новые инструменты (такие как ES2015, TypeScript, SystemJS, Webpack, Angular CLI ...) и каждую часть инфраструктуры. К концу чтения данного руководства вы сможете начать свой проект и создавать свои удивительные приложения!

Название: Explainable Artificial Intelligence in Medical Decision Support Systems
Автор: A. Lucky Imoize, Jude Hemanth, Dinh-Thuan Do, Samarendra Nath Sur
Издательство: The Institution of Engineering and Technology
Год: 2022
Страниц: 545
Язык: английский
Формат: pdf (true)
Размер: 27.3 MB

Medical decision support systems (MDSS) are computer-based programs that analyse data within a patient's healthcare records to provide questions, prompts, or reminders to assist clinicians at the point of care. Inputting a patient's data, symptoms, or current treatment regimens into an MDSS, clinicians are assisted with the identification or elimination of the most likely potential medical causes, which can enable faster discovery of a set of appropriate diagnoses or treatment plans. Explainable AI (XAI) is a "white box" model of Artificial Intelligence (AI) in which the results of the solution can be understood by the users, who can see an estimate of the weighted importance of each feature on the model's predictions, and understand how the different features interact to arrive at a specific decision. The healthcare sector is very interested in machine Learning (ML) and Artificial Intelligence (AI). Nevertheless, applying AI applications in scientific contexts is difficult due to explainability issues. Explainable AI (XAI) has been studied as a potential remedy for the problems with current AI methods.

Название: Algorithms, Humans, and Interactions: How Do Algorithms Interact with People? Designing Meaningful AI Experiences
Автор: Don Donghee Shin
Издательство: Routledge
Серия: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Год: 2023
Страниц: 217
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Algorithms are pervasive in our society, and we live and work with them and Artificial Intelligence (AI) – knowingly and unknowingly. This book presents current theories, techniques, methods, and various sociotechnical issues related to human–AI interaction. Tis book is a guide to understanding the dynamics of AI in human contexts by addressing some important questions: How do we ensure AI is used for our common good? How do humans and AI interact? How is AI shaping our understanding of ourselves and our societies? How do we bridge the gap between ethical considerations and practical realities to create responsible, reliable systems? Trough these questions, this book proposes a way to empower humans by enabling them to make choices about AI design, which allows them control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans.