Название: Securing the Digital World: A Comprehensive Guide to Multimedia Security
Автор: Subhrajyoti Deb, Aditya Kumar Sahu
Издательство: CRC Press
Год выхода: 2025
Страниц: 166
Формат: True PDF
Размер: 10,5 MB
Язык: английский

Securing the Digital World: A Comprehensive Guide to Multimedia Security is indispensable reading in today's digital age. With the outbreak of digital range and ever-evolving cyber threats, the demand to protect multimedia data has never been more imperative. This book provides comprehensive research on multimedia information security and bridges the gap between theoretical bases and practical applications.

Название: Architecting Enterprise AI Applications: A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions
Автор: Anton Cagle, Ahmed Ceifelnasr Ahmed
Издательство: Apress
Год: 2024
Страниц: 282
Язык: английский
Формат: pdf
Размер: 36.1 MB

This book explores how to define, design, and maintain enterprise AI applications, exploring the impacts they will have on the teams who work with them. The book is structured into four parts. In Part 1: Defining Your AI Application, you are introduced to the dynamic interplay between human adaptability and AI specialization, the concept of meta systems, and the mechanics of prediction machines. In Part 2: Designing Your AI Application, the book delves into the anatomy of an AI application, unraveling the intricate relationships among data, Machine Learning, and reasoners. This section introduces the building blocks and enterprise architectural framework for designing multi-agent systems. Part 3: Maintaining Your AI Application takes a closer look at the ongoing life cycle of AI systems. You are guided through the crucial aspects of testing and test automation, providing a solid foundation for effective development practices. This section covers the critical tasks of security and information curation that ensure the long-term success of enterprise AI applications. The concluding section, Part 4: AI Enabled Teams, navigates the evolving landscape of collaborative efforts between humans and AI. It explores the impact of AI on remote work dynamics and introduces the new roles of the expert persona and the AI handler. This section concludes with a deep dive into the legal and ethical dimensions that AI-enabled teams must navigate.

Название: Русские фамилии : популярный этимологический словарь
Автор: Ю. А. Федосюк
Издательство: Флинта
Год: 2021
Cтраниц: 240
Формат: pdf
Размер: 14 мб
Язык: русский

Словарь в популярной форме раскрывает происхождение и значение более 2500 фамилий. В него включены широко распространенные среди русских фамилии, происхождение которых не вполне очевидно для широкого читателя, а также редкие фамилии, носителями которых являлись выдающиеся культурные деятели России. Настоящее издание словаря пополнено рядом новых словарных статей, некоторая информация в старых словарных статьях обновлена.

Название: Cyber Threat Hunting (Final Release)
Автор: Nadhem AlFardan
Издательство: Manning Publications
Год: 2025
Страниц: 418
Язык: английский
Формат: pdf (true)
Размер: 26.8 MB

Follow the clues, track down the bad actors trying to access your systems, and uncover the chain of evidence left by even the most careful adversary. Cyber Threat Hunting teaches you how to identify potential breaches of your security. Practical and easy-to-follow, it gives you a reliable and repeatable framework to see and stop attacks. Cyber Threat Hunting teaches you how to conduct structured expeditions using techniques that can detect even the most sophisticated cybersecurity challenges. You’ll begin by mastering the fundamentals: formulating a threat hypothesis, gathering intelligence, strategizing your approach, and executing your hunt. From there, you’ll explore advanced techniques, including machine learning and statistical analysis for anomaly detection. Using this book’s downloadable datasets and scenario templates, you’ll get the hands-on experience you need to refine your threat-hunting expertise. For security, network, and systems professionals with some Python experience.

Название: Watercolor in the Woods: Paint a Whimsical World of Forest Animals, Botanicals, Toadstools and More
Автор: Jane Carkill
Издательство: Page Street Publishing
Год: December 17, 2024
Размер: 120 Мб
Формат: EPUB
Страниц: 192
Язык: Английский

Иллюстратор Джейн Каргилл приглашает вас в свой сказочный мир с этой коллекцией обучающих материалов для начинающих художников! Благодаря простым инструкциям, которые помогут вам выполнить каждый взмах кисти, эти уютные обучающие материалы оживают на странице с каждым шагом. Эти замечательные акварельные проекты, столь же очаровательные, сколь и простые, с включенными для простоты шаблонами эскизов, несомненно, принесут радость и восхищение каждому художнику.

Название: Plastic Canvas Christmas, Vol. 3: The Christmas Village
Автор: Don FranzMeier
Издательство: American School of Needlework
Год: January 1, 1982
Размер: 15 Мб
Формат: PDF
Страниц: 17
Язык: Английский

Книга по вышивке на пластиковой канве. В комплекте прилагаются инструкции по изготовлению следующих элементов (все они изображены на обложке): Рождественская церковь, Универсальный магазин, Кирпичный дом, Голубой коттедж для новобрачных, Бревенчатая хижина и Зеленый особняк.

Название: AI-Powered Search (Final Release)
Автор: Trey Grainger, Doug Turnbull, Max Irwin
Издательство: Manning Publications
Год: 2025
Страниц: 520
Язык: английский
Формат: pdf (true)
Размер: 35.8 MB

Apply cutting-edge Machine Learning techniques—from crowdsourced relevance and knowledge graph learning, to Large Language Models (LLMs)—to enhance the accuracy and relevance of your search results. Delivering effective search is one of the biggest challenges you can face as an engineer. AI-Powered Search is an in-depth guide to building intelligent search systems you can be proud of. It covers the critical tools you need to automate ongoing relevance improvements within your search applications. This book is for search engineers, software engineers, and data scientists who want to learn how to build cutting-edge search engines integrating the latest ML techniques to drive more domain-aware and intelligent search. The book also provides a thorough overview of AI-powered search for product managers and business leaders who may not be able to implement the techniques themselves, but who want to understand the possibilities and limitations of AI-powered search. Technical readers who want to get the most out of this book can follow along with the Python code examples. Familiarity with SQL syntax is assumed, as we’ve chosen to implement many of the data aggregations in this standardized representation when possible. A basic understanding of how search engines (such as Elasticsearch, Apache Solr, or OpenSearch) or vector databases work is also helpful, but not required.

Название: Helidon Revealed: A Practical Guide to Oracle's Microservices Framework
Автор: Michael P. Redlich
Издательство: Apress
Год: 2024
Страниц: 236
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book is your comprehensive introduction to Project Helidon, Oracle’s Java-based microservices framework for building cloud-native applications. The book introduces the two flavors of Helidon—Helidon SE and Helidon MP—and shows how to quickly build applications with each one. The book begins by placing the Helidon framework in context and explaining the MicroProfile and Jakarta EE specifications that underlie the building of microservices-based applications. From there, you will learn about the individual components of Helidon SE and Helidon MP, and you will see examples of building applications for both flavors, and for MicroProfile and Jakarta EE. Finally, the book shows how to convert Helidon applications from Java bytecode into native binaries for instant application startup and peak performance. For Java developers who create microservices applications; those interested in building such applications using the Helidon framework; and developers of microservices applications who want functionality such as native-image support through GraalVM, compatibility with MicroProfile, easy connectivity to database engines, and support for reactive development patterns.

Название: AI Solutions for the United Nations Sustainable Development Goals (UN SDGs): A Practical Approach Using jаvascript
Автор: Tulsi Pawan Fowdur, Lavesh Babooram
Издательство: Apress
Год: 2024
Страниц: 166
Язык: английский
Формат: pdf
Размер: 14.1 MB

Learn the United Nations Sustainable Development Goals (UN SDGs) and see how machine learning can significantly contribute to their realization. This book imparts both theoretical knowledge and hands-on experience in comprehending and constructing Machine Learning-based applications for addressing multiple UN SDGs using jаvascript. The reading begins with a delineation of diverse UN SDG targets, providing an overview of previous successful applications of Machine Learning in solving realistic problems aligned with these targets. It thoroughly explains fundamental concepts of Machine Learning algorithms for prediction and classification, coupled with their implementation in jаvascript and HTML programming. Detailed case studies examine challenges related to renewable energy, agriculture, food production, health, environment, climate change, water quality, air quality, and telecommunications, corresponding to various UN SDGs. Each case study includes related works, datasets, Machine Learning algorithms, programming concepts, and comprehensive explanations of jаvascript and HTML codes used for web-based Machine Learning applications.

Название: Automatic Generation Of Algorithms
Автор: Victor Parada
Издательство: CRC Press
Серия: Advances in Metaheuristics
Год: 2025
Страниц: 215
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

In the rapidly evolving domain of computational problem-solving, this book delves into the cutting-edge Automatic Generation of Algorithms (AGA) paradigm, a groundbreaking approach poised to redefine algorithm design for optimization problems. Spanning combinatorial optimization, machine learning, genetic programming, and beyond, it investigates AGA's transformative capabilities across diverse application areas. The book initiates by introducing fundamental combinatorial optimization concepts and NPhardness significance, laying the foundation for understanding AGA's necessity and potential. It then scrutinizes the pivotal Master Problem concept in AGA and the art of modeling for algorithm generation. The exploration progresses with integrating genetic programming and synergizing AGA with evolutionary computing. Subsequent chapters delve into the AGA-Machine Learning intersection, highlighting their shared optimization foundation while contrasting divergent objectives. The automatic generation of metaheuristics is examined, aiming to develop versatile algorithmic frameworks adaptable to various optimization problems. Furthermore, the book explores applying Reinforcement Learning techniques to automatic algorithm generation.