Название: Information Retrieval: Advanced Topics and Techniques
Автор: Omar Alonso, Ricardo Baeza-Yates
Издательство: ACM Books
Год: 2025
Страниц: 838
Язык: английский
Формат: pdf (true), epub
Размер: 41.0 MB

In the last decade, Deep Learning and word embeddings have made significant impacts on information retrieval (IR) by adding techniques based in neural networks and language models. At the same time, certain search modalities such as neural IR and conversational search have become more popular. This book, written by international academic and industry experts, brings the field up to date with detailed discussions of these new approaches and techniques. The book is organized in three sections: Foundations, Adaptations and Concerns, and Verticals. Under Foundations, we address topics that form the basic structure of any modern IR system, including recommender systems. These new techniques are developed to augment indexing, retrieval, and ranking. Neural IR, recommender systems, evaluation, query-driven functionality, and knowledge graphs are covered in this section.

Название: Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python, 2nd Edition
Автор: Joseph Awange, Béla Paláncz, Lajos Völgyesi
Издательство: Springer
Год: 2025
Страниц: 471
Язык: английский
Формат: pdf
Размер: 62.9 MB

This second edition of the book that targets those in computer algebra and Artificial Intelligence introduces Black Hole algorithm that is essential for optimizing hyperparameters, an important task in Machine Learning where mostly, stochastic global methods are used as well as ChatGPT, a novel and in the last few years, very popular Generative AI technology. In addition, fisher discriminant, a linear discriminant that can provide an optimal separation of objects, and the conversion of time series into images thereby making it possible to employ convolution neural network to classify time series effectively are presented. Computer vision, a multidisciplinary field that is broadly a subfield of artificial intelligence and Machine Learning has as one of its goals the extraction of useful information from images. A basic problem in computer vision, therefore, is to try to understand, i.e., “see” the structure of the real world from a given set of images through use of specialized methods and general learning algorithms. In this book, we employ Python and Mathematica as well as their blending, since Python code can be run from Mathematica directly.

Название: Hacking Cryptography: Write, break, and fix real-world implementations
Автор: Kamran Khan, Bill Cox
Издательство: Manning Publications
Год: 2025
Страниц: 328
Язык: английский
Формат: epub
Размер: 16.4 MB

Learn how the good guys implement cryptography and how the bad guys exploit it. Everything we do in the digital world is protected by cryptography. But when pure math and algorithms are implemented in code, vulnerabilities emerge and can be exploited by hackers and bad actors. Hacking Cryptography details dozens of practical cryptographic implementations and then breaks down the flaws that adversaries use to exploit them. Even the strongest cryptographic systems in code and hardware leave cracks and vulnerabilities a would-be attacker can exploit. In this book, you’ll learn to write cryptographically secure code, sidestep common pitfalls, and assess new bugs and vulnerabilities as they are discovered. For software and security engineers. Examples in Go.

Название: Introduction to Artificial Intelligence And Machine Learning: Building Blocks of Artificial Intelligence and Machine Learning
Автор: Arunprasad P, Waleed K. Alkalash
Издательство: Guided Self Publishing (I) LLP
Год: October 26, 2024
Страниц: 430
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

"Introduction to Artificial Intelligence & Machine Learning" provides a comprehensive foundation for AI and ML concepts. It covers AI history, types, benefits, risks, and applications across various industries. The book explores Machine Learning, Deep Learning, neural networks, and practical AI problem-solving approaches. It also introduces Python programming, discussing variables, control statements, functions, and data structures essential for AI and ML development. With theoretical insights and practical examples, the book aims to equip students, researchers, and professionals with the knowledge needed to apply AI and ML techniques effectively in real-world scenarios. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming, offering flexibility for a wide range of applications. One of Python's most notable features is its extensive standard library, which provides pre-built modules and functions for handling tasks like file I/O, string manipulation, mathematics, and more.

Название: Modern Technologies in Healthcare
Автор: Temitope Emmanuel Komolafe, Patrice Monkam, Blessing Funmi Komolafe, Nizhuan Wang
Издательство: CRC Press
Серия: Analytics and AI for Healthcare
Год: 2025
Страниц: 348
Язык: английский
Формат: pdf (true), epub
Размер: 16.8 MB

This book comprehensively explores the latest technological advancements in healthcare, with a particular focus on the application of cutting-edge technologies, such as Artificial Intelligence (AI), Computer Vision, and robotics. The focus extends across crucial domains, such as disease diagnosis and monitoring, medical imaging, and the facilitation of remote healthcare services. The book provides a comprehensive overview of AI techniques for intelligent diagnoses, discussing how Machine Learning and Deep Learning models enhance accuracy and speed in medical imaging, diagnostics, and patient care. It also delves into the integration of AI with other disciplines, such as Data Science, computer vision, edge computing, robotics, and web development, to tackle complex medical challenges. The core of intelligent medical image classification is to use Machine Learning and Deep Learning algorithms to extract features from medical image data and classify them. Traditional Machine Learning methods include support vector machines (SVM), decision trees, random forests, etc., while Deep Learning methods have attracted much attention for their excellent performance in image recognition and classification tasks, especially the application of CNN.

Название: Fundamentals of C and Data Structure
Автор: Asha Gowda Karegowda, Bhargavi K, Roopa T
Издательство: CBS Publishers & Distributors Pvt. Ltd.
Год: 2022
Страниц: 778
Язык: английский
Формат: pdf (true)
Размер: 15.9 MB

Fundamentals of C and Data Structures has been written for students of all branches of BE, BTech, BSc, BA BCom, BCA MCA MTech, and diploma courses. The book follows a cohesive approach of illustrations, explanation of concepts, and examples on fundamentals of C programming language, and data structures using C language. Data structures is one of the essential subjects of computer science discipline. With the intensification in computerization, there is still a demand and scope for computer applications in any domain. For this, the basic awareness of data structures is a must. To implement data structure concepts, one must have proper understanding of how different data structures work and also needs to have knowledge of computer language. This book comforts the reader to have understanding of C language as well as data structures perceptions using C language.

Название: PowerShell: Jobs and Parallel Processing
Автор: Laszlo Bocso
Издательство: Independently published
Год: October 21, 2024
Страниц: 362
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

"Mastering PowerShell Jobs and Parallel Processing: Optimize Your Automation Workflows" is the ultimate guide for IT professionals, system administrators, DevOps engineers, and PowerShell enthusiasts looking to harness the full power of parallel processing in their scripts and automation tasks. This comprehensive book demystifies the concepts of jobs and parallel processing in PowerShell, providing readers with the knowledge and practical skills to dramatically improve the efficiency and performance of their scripts. In today's fast-paced IT environment, the ability to execute multiple tasks simultaneously is crucial for managing complex systems and processing large amounts of data. This book takes you on a journey from the basics of PowerShell jobs to advanced parallel processing techniques, equipping you with the tools to tackle even the most demanding automation challenges.

Название: Large Language Models: An Introduction
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 503
Язык: английский
Формат: True PDF, True EPUB
Размер: 31.2 MB

This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like DeepMind and OpenAI. It then reviews the intricacies of ChatGPT, GPT-4, Meta AI, Claude 3, and Gemini, examining their capabilities, strengths, and competitors. Readers will also gain insights into the BERT family of LLMs, including ALBERT, DistilBERT, and XLNet, and how these models have revolutionized natural language processing. Further, the book covers prompt engineering techniques, essential for optimizing the outputs of AI models, and addresses the challenges of working with LLMs, including the phenomenon of hallucinations and the nuances of fine-tuning these advanced models. Designed for software developers, AI researchers, and technology enthusiasts with a foundational understanding of AI, this book offers both theoretical insights and practical code examples in Python. This book is intended primarily for people who have a basic knowledge of Generative AI or software developers who are interested in working with LLMs. Specifically, this book is for readers who are accustomed to searching online for more detailed information about technical topics.

Название: Spring Security 6 Recipes: Essential Techniques for Quick and Secure Java Applications
Автор: Massimo Nardone
Издательство: Apress
Год: 2025
Страниц: 137
Язык: английский
Формат: True PDF, True EPUB
Размер: 10.1 MB

Ensure robust web security for your Java applications in just a few days. This recipe-driven, practical pocketbook provides a straightforward guide to quickly developing and deploying secure enterprise applications using the Spring 6 Framework, Spring Boot 3, and the H2 database. The book is organized into problems and corresponding recipes, offering solutions for both small and large challenges. First, you will learn how to install all essential development tools, such as IntelliJ IDEA, JDK v17, and Maven. Then you will dive into recipes on using Spring Security 6 with JSP tags and Thymeleaf and integrating security features through Spring Boot 3 Initializr. Finally, you'll be equipped to build your own Spring Boot project using Spring Security, Spring Data JDBC, and the H2 database. This recipes guide is ideal for readers who want to get up and running with only the essential security features in a fraction of time. Its simplified approach offers immediate results for securing Java applications.

Название: Head First. Архитектура ПО: Руководство для обучающихся архитектурному мышлению
Автор: Раджу Ганди, Марк Ричардс, Нил Форд
Издательство: Спринт Бук
Год: 2025
Страниц: 480
Язык: русский
Формат: pdf
Размер: 70.0 MB

Плох тот разработчик, который не мечтает стать архитектором! Вам тоже хочется пройти этот путь как можно быстрее? Авторы бестселлера "Фундаментальный подход к программной архитектуре" научат вас мыслить "архитектурно" и расскажут про актуальные проблемы архитектуры ПО. Вы узнаете о различиях между архитектурой и дизайном и о взаимосвязи между кодом, компонентами и архитектурными стилями. На ярких, запоминающихся и реальных примерах вы научитесь работать с самыми распространенными архитектурными стилями. Архитектурные компоненты не зависят от языка. Мы используем Python только для иллюстрации.