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Название: Hacker's Manual - 19th Edition, 2025
Автор: Jon White (Editor)
Издательство: Future Publishing
Год: 2025
Страниц: 148
Язык: английский
Формат: pdf
Размер: 108.8 MB

Добро пожаловать в 19-й выпуск The Hacker's Manual 2025! 148 страниц учебников, руководств и статей по взлому Linux от экспертов Linux Format Magazine, дома открытого программного обеспечения. Более 80 учебников по взлому. Сетевые технологии - погрузитесь в протоколы, стройте сети и анализируйте трафик. Сисадмин - используйте возможности Docker и научитесь экономить время при работе с терминалом. Хакинг - установите полноценную операционную систему Linux на свой телефон и взломайте дистрибутив, чтобы увеличить скорость работы. Конфиденциальность - ощутите на себе атаку и защитите свою конфиденциальность с нашей помощью.

Название: Mathematics for Digital Science 2: Digital Information
Автор: Gérard-Michel Cochard, Mhand Hifi
Издательство: Wiley-ISTE
Год: 2025
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 15.1 MB

Over the past century, advancements in Computer Science have consistently resulted from extensive mathematical work. Even today, innovations in the digital domain continue to be grounded in a strong mathematical foundation. To succeed in this profession, both today’s students and tomorrow’s computer engineers need a solid mathematical background. The goal of this book series is to offer a solid foundation of the knowledge essential to working in the digital sector. The three-volume work compiles the lessons taught to numerous generations of students in the first two university cycles, specifically in bachelor’s/master’s degrees in Computer Science or in Computer Methods Applied to Business Management. The second – and present – volume focuses on digital information, while the third volume is devoted to data analysis and optimization. Chapters 1 and 2 of this second volume address the representation of information (such as numbers, texts, images, sounds, videos, labels) in the form of combinations of 0s and 1s. This binary representation facilitates the processing, analysis and transmission of information using computer resources. Chapter 3 addresses the classification of communication signals, both analog and digital, and introduces Fourier series analysis for periodic signals. Chapter 4 presents mathematical tools for signal analysis, including z-transforms, Fourier transforms and Laplace transforms.

Название: Mathematics for Digital Science 3: Data Analysis and Optimization
Автор: Gérard-Michel Cochard, Mhand Hifi
Издательство: Wiley-ISTE
Год: 2025
Страниц: 322
Язык: английский
Формат: pdf
Размер: 19.9 MB

Over the past century, advancements in computer science have consistently resulted from extensive mathematical work. Even today, innovations in the digital domain continue to be grounded in a strong mathematical foundation. To succeed in this profession, both today's students and tomorrow’s computer engineers need a solid mathematical background. The goal of this book series is to offer a solid foundation of the knowledge essential to working in the digital sector. Across three volumes, it explores fundamental principles, digital information, data analysis, and optimization. Whether the reader is pursuing initial training or looking to deepen their expertise, the Mathematics for Digital Science series revisits familiar concepts, helping them refresh and expand their knowledge while also introducing equally essential, newer topics.

Название: Ultimate Agentic AI with AutoGen for Enterprise Automation: Design, Build, And Deploy Enterprise-Grade AI Agents Using LLMs and AutoGen To Power Intelligent, Scalable Enterprise Automation
Автор: Shekhar Agrawal, Srinivasa Sunil Chippada, Rathish Mohan
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 365
Язык: английский
Формат: epub (true)
Размер: 53.0 MB

Empowering Enterprises with Scalable, Intelligent AI Agents. In an era where Artificial Intelligence (AI) is transforming enterprises, Large Language Models (LLMs) are unlocking new frontiers in automation, augmentation, and intelligent decision-making. Ultimate Agentic AI with AutoGen for Enterprise Automation bridges the gap between foundational AI concepts and hands-on implementation, empowering professionals to build scalable and intelligent enterprise agents. The book begins with the core principles of LLM agents and gradually moves into advanced topics such as agent architecture, tool integration, memory systems, and context awareness. Readers will learn how to design task-specific agents, apply ethical and security guardrails, and operationalize them using the powerful AutoGen framework. This book is tailored for AI/ML engineers, software developers, data scientists, solution architects, enterprise tech leads, product managers, innovation strategists, and CTOs.

Название: Probing the Past with Data Analytics and AI
Автор: Marc Thuillard
Издательство: World Scientific Publishing
Год: 2025
Страниц: 260
Язык: английский
Формат: pdf (true)
Размер: 11.4 MB

This comprehensive compendium explains the technical challenges and opportunities behind the most recent and successful applications in Artificial Intelligence [AI] and data analytics. It focuses on applications that have the power to be adapted to many different fields and explains how AI can be implemented as an assistant in digital humanities. It also introduces new methods and applications in classification trees, networks, and Bayesian learning. The useful reference text benefits professionals, academics, researchers, and graduate students in AI/Machine Learning, neural networks, and bioinformatics, and digital humanities. The first chapter briefly introduces the most important classical classification techniques. The choice was set on methods that find broad applications in data analytics and AI further in the book. In this chapter, as in the rest of this book, we follow the strategy to explain and illustrate the main ideas behind the most advanced AI with minimal use of equations. The reader is furnished with many good references to enquire further. The second chapter is on a family of Neural Networks described by the acronym “CNN”, which stands for convolutional neural networks.

Название: Visual Object Tracking: An Evaluation Perspective
Автор: Xin Zhao, Shiyu Hu, Xu-Cheng Yin
Издательство: Springer
Серия: Advances in Computer Vision and Pattern Recognition
Год: 2025
Страниц: 202
Язык: английский
Формат: pdf (true)
Размер: 21.1 MB

This book delves into visual object tracking (VOT), a fundamental aspect of computer vision crucial for replicating human dynamic vision, with applications ranging from self-driving vehicles to surveillance systems. Despite significant strides propelled by Deep Learning, challenges such as target deformation and motion persist, exposing a disparity between cutting-edge VOT systems and human performance. This observation underscores the necessity to thoroughly scrutinize and enhance evaluation methodologies within VOT research. Hence, the primary objective of this book is to equip readers with essential insights into dynamic visual tasks encapsulated by VOT. Beginning with the elucidation of task definitions, it integrates interdisciplinary perspectives on evaluation techniques. Pursuing dynamic visual intelligence represents one of the most significant challenges in Artificial Intelligence (AI), requiring the synthesis of perceptual acuity, cognitive reasoning, and real-time adaptability. This book addresses these challenges, positioning itself at the intersection of cognitive science, Computer Vision, and Machine Learning.

Название: Derivative-Free Optimization: Theoretical Foundations, Algorithms, and Applications
Автор: Yang Yu, Hong Qian, Yi-Qi Hu
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2025
Страниц: 194
Язык: английский
Формат: pdf (true), epub
Размер: 34.1 MB

This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in Artificial Intelligence (AI), Machine Learning (ML), AutoML, and optimization with a robust framework for addressing complex, large-scale problems where gradients are unavailable. By bridging theoretical foundations with practical implementations, it fills critical gaps in the field, making it an indispensable resource for both academic and industrial audiences. The book introduces innovative frameworks such as sampling-and-classification (SAC) and sampling-and-learning (SAL), which underpin cutting-edge algorithms like Racos and SRacos. These methods are designed to excel in challenging optimization scenarios, including high-dimensional search spaces, noisy environments, and parallel computing. A dedicated section on the ZOOpt toolbox provides practical tools for implementing these algorithms effectively. The book’s structure moves from foundational principles and algorithmic development to advanced topics and real-world applications, such as hyperparameter tuning, neural architecture search, and algorithm selection in AutoML. A foundational understanding of Machine Learning, probability theory, and algorithms is recommended for readers to fully engage with the material.

Название: Practical Software Project Management: Design and track execution models, and manage dependencies, changes, and project issues
Автор: Abhi Basu Thakur
Издательство: BPB Publications
Год: 2025
Страниц: 408
Язык: английский
Формат: pdf, epub (true)
Размер: 10.7 MB

Managing software projects in today's fast-paced technological landscape is crucial for success, demanding a clear understanding of processes, people, and products. Practical Software Project Management serves as your essential guide, transforming complex project lifecycles into a manageable and actionable roadmap. This book systematically covers the entire project journey, beginning with project initiation, objective definition, and crucial stakeholder identification. You will learn practical estimation techniques and planning strategies, alongside effective team management, including recruitment, conflict resolution, and motivation. The guide progresses through essential requirement analysis, robust architecture, and design phases, and explains how to execute successful project kickoffs. Automation helps in automatically testing the product. Some of the well-known products that are used to automate testing are Selenium, TestNG, Postman, and many more. There are many tools that can be used. There should be an appropriate selection criterion for selecting the tool. Many languages can be used for testing. Python and Java are popular languages used in test automation. This book is for software developers, project managers, program managers, and corporate trainers seeking to master practical software project management.

Название: High-performance Algorithmic Trading using Machine Learning: Building automated trading startegies with AutoML and feature engineering
Автор: Franck Bardol
Издательство: BPB Publications
Год: 2025
Страниц: 398
Язык: английский
Формат: epub (true)
Размер: 49.3 MB

Machine Learning is not just an advantage; it is becoming standard practice among top-performing trading firms. As traditional strategies struggle to navigate noise, complexity, and speed, ML-powered systems extract alpha by identifying transient patterns beyond human reach. This shift is transforming how hedge funds, quant teams, and algorithmic platforms operate, and now, these same capabilities are available to advanced practitioners. This book is a practitioner’s blueprint for building production-grade ML trading systems from scratch. It goes far beyond basic return-sign classification tasks, which often fail in live markets, and delivers field-tested techniques used inside elite quant desks. It covers everything from the fundamentals of systematic trading and ML's role in detecting patterns to data preparation, backtesting, and model lifecycle management using Python libraries. You will learn to implement supervised learning for advanced feature engineering and sophisticated ML models. This book is for robo traders, algorithmic traders, hedge fund managers, portfolio managers, Python developers, engineers, and analysts who want to understand, master, and integrate Machine Learning into trading strategies. Readers should understand basic automated trading concepts and have some beginner experience writing Python code.

Название: AI and Microservices: Integrating AI into API Design and Distributed Microservice Architecture
Автор: Dileep Kumar Pandiya, Nilesh Charankar
Издательство: Apress
Год: 2025
Страниц: 345
Язык: английский
Формат: pdf (true), epub
Размер: 13.4 MB

This book explores how Artificial Intelligence (AI) is transforming the design and operation of microservices and API architecture. It provides a clear and practical guide to using AI to automate tasks, enhance performance, and improve the scalability of microservice-based systems. Starting with the basics, you will learn about the core concepts of microservices and API design, gradually building an understanding of how AI can be seamlessly integrated. Through real-world examples, visual diagrams, and mock APIs, the book shows you how to bring theory into practice, making complex systems easier to manage and more efficient. You will also discover strategies for testing and scaling systems, securing APIs, and addressing ethical challenges in AI-powered environments. Case studies highlight successful implementations, offering valuable insights you can apply to your own projects. For Software architects and engineers, AI and Machine Learning professionals, and DevOps engineers.