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 Название: Data-Driven Cybersecurity: Reducing risk with proven metrics (MEAP v5)
Автор: Mariano Mattei
Издательство: Manning Publications
Год: 2025
Страниц: 470
Язык: английский
Формат: pdf, epub
Размер: 24.6 MB
Measure, improve, and communicate the value of your security program. Every business decision should be driven by data—and cyber security is no exception. In Data-Driven Cybersecurity, you'll master the art and science of quantifiable cybersecurity, learning to harness data for enhanced threat detection, response, and mitigation. The good news is that you don’t need to build AI algorithms from scratch. Many open-source libraries and frameworks—such as Scikit-learn, TensorFlow, and PyTorch—already provide pre-built models for cybersecurity applications. The key tasks are to collect high-quality, representative data, ensure AI systems are learning the right patterns, and continuously monitor and refine outputs to maintain effectiveness in an evolving threat landscape. For readers familiar with the basics of cyber security and data analysis. | |
Разместил: Ingvar16 13-06-2025, 06:32 | Комментарии: 0 | Подробнее
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 Название: Git & GitHub - The Developer's Survival Guide: The Art of Version Control: A Practical Guide for Developers and Its Possibilities
Автор: Hugo S. Dias
Издательство: Independently published
Год: 2025
Страниц: 123
Язык: английский
Формат: epub
Размер: 10.1 MB
Mastering version control is an essential skill for any modern developer. This practical guide introduces Git and GitHub in a clear and accessible way, helping both beginners and experienced developers improve their workflows. Welcome to the world of Git and GitHub, essential tools for every modern developer. This book is designed to demystify version control and collaboration, offering a practical and accessible approach for beginners and a concise guide for professionals seeking to enhance their skills. The goal of this material is to guide you from the first steps to advanced practices, helping you master the concepts and tools that have revolutionized software development. Mastering Git and GitHub is a fundamental skill for modern developers. From the basics to advanced commands, this book equips you with the tools and strategies to confidently navigate Git and GitHub, ensuring smoother collaboration and efficient code management. | |
Разместил: Ingvar16 13-06-2025, 01:36 | Комментарии: 0 | Подробнее
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 Название: Think Distributed Systems (MEAP v9)
Автор: Dominik Tornow
Издательство: Manning Publications
Год: 2025
Страниц: 255
Язык: английский
Формат: pdf, epub
Размер: 22.0 MB
Reason confidently about distributed systems. All modern software is distributed. Let’s say that again—all modern software is distributed. Whether you’re building mobile utilities, microservices, or massive cloud native enterprise applications, creating efficient distributed systems requires you to think differently about failure, performance, network services, resource usage, latency, and much more. This clearly-written book guides you into the mindset you’ll need to design, develop, and deploy scalable and reliable distributed systems. Think Distributed Systems provides accurate and concise mental models to help you reason confidently about distributed systems. It delivers a big picture view of distributed systems along with a detailed look at key topics like partitioning, replication, durable executions, and consensus protocols. For software engineers and architects. | |
Разместил: Ingvar16 12-06-2025, 20:41 | Комментарии: 0 | Подробнее
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 Название: Microsoft Semantic Kernel in Action (MEAP v3)
Автор: Daniel Costea
Издательство: Manning Publications
Год: 2025
Страниц: 308
Язык: английский
Формат: pdf, epub
Размер: 13.2 MB
Build AI applications that integrate multiple models, data sources, and other components using Microsoft Semantic Kernel. Even simple AI applications need to combine LLMs and other models, functions and plugins created in various programming languages, and custom data sources. With the Microsoft Semantic Kernel SDK, you can create chatbots, copilots, and agents by chaining individual components together using a few lines of glue code. Semantic Kernel makes it a snap to build AI apps from scratch or integrate AI features into an existing codebase. Microsoft Semantic Kernel in Action teaches you to create AI applications and integrate AI into existing software using C# and the lightweight Semantic Kernel SDK. The book covers both proprietary AI models like OpenAI's GPT and open-source options like Llama and Phi. For beginner and expert .NET developers, data scientists, and AI enthusiasts seeking to integrate AI into applications. | |
Разместил: Ingvar16 12-06-2025, 18:16 | Комментарии: 0 | Подробнее
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 Название: R for Non-Programmers
Автор: Daniel Dauber
Издательство: CRC Press
Год: 2025
Страниц: 384
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Unlock the Power of Data Analysis with R. Whether you are a researcher, student, or professional new to programming, this book provides a step-by-step guide to mastering R for quantitative and mixed-methods analysis. Designed for those who still need to gain program- ming experience or wish to learn a new one, it demystifies data analysis, helping you tackle challenges from data wrangling to statistical modelling. Packed with practical examples, engaging explanations, and real-world applications, this book equips you with the tools to analyse data confidently, identify trends, and uncover meaningful insights. This book, which strongly focuses on reproducible research, is an indispensable guide for anyone looking to enhance their analytical toolkit and unlock R’s full potential for data analysis and statistical modelling. | |
Разместил: Ingvar16 12-06-2025, 16:30 | Комментарии: 0 | Подробнее
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 Название: Осваиваем архитектуру Transformer: Разработка современных моделей с помощью передовых методов обработки естественного языка
Автор: Йылдырым C., Асгари-Ченаглу М.
Издательство: ДМК Пресс
Год: 2022
Cтраниц: 320
Формат: pdf
Размер: 18 мб
Язык: русский
В этой книге рассказывается, как создавать различные приложения NLP на основе трансформеров, используя библиотеку Python Transformers. Вы познакомитесь с архитектурой трансформеров и напишете свою первую программу для работы с моделями на основе этой передовой технологии. Вашему вниманию будут представлены эффективные модели c открытым исходным кодом для решения сложных задач и тестовые наборы данных; вы освоите методы многоязычной и межъязыковой обработки текстов, научитесь оптимизировать модели и узнаете, как добиться для этих моделей интерпретируемости и объяснимости. | |
Разместил: rivasss 12-06-2025, 13:07 | Комментарии: 0 | Подробнее
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 Название: Investing for Programmers (MEAP v5)
Автор: Stefan Papp
Издательство: Manning Publications
Год: 2025
Страниц: 340
Язык: английский
Формат: pdf, epub
Размер: 21.8 MB
Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and Generative AI. Programmers have a unique superpower when it comes to managing financial stock analysis, price forecasting, and strategic investing. Using popular open-source Python libraries and cutting-edge AI tools, you can do the kind of sophisticated analysis that’s normally limited to expensive software and financial professionals. This book shows you how! In Investing for Programmers, you’ll work with a familiar stack of Python tools—including Pandas, NumPy, and Matplotlib—to dissect stock market data, uncover patterns, and build predictive models. Real-life examples help you build your own intuition about financial markets. For Python programmers with data analysis experience. Only the most basic investing knowledge is needed. If you've traded stocks in an online platform or made retirement plan decisions, you're ready to begin. | |
Разместил: Ingvar16 12-06-2025, 04:44 | Комментарии: 0 | Подробнее
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 Название: Domain-Specific Small Language Models (MEAP v3)
Автор: Guglielmo Iozzia
Издательство: Manning Publications
Год: 2025
Страниц: 237
Язык: английский
Формат: pdf, epub
Размер: 13.5 MB
Bigger isn’t always better. Train and tune highly focused language models optimized for domain specific tasks. When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. Domain-Specific Small Language Models teaches you to build generative AI models optimized for specific fields. Domain-Specific Small Language Models teaches you how to create language models that deliver the power of LLMs for specific areas of knowledge. You’ll learn to minimize the computational horsepower your models require, while keeping high–quality performance times and output. You’ll appreciate the clear explanations of complex technical concepts alongside working code samples you can run and replicate on your laptop. Plus, you’ll learn to develop and deliver RAG systems and AI agents that rely solely on SLMs, and without the costs of foundation model access. For Machine Learning engineers familiar with Python. | |
Разместил: Ingvar16 12-06-2025, 03:09 | Комментарии: 0 | Подробнее
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 Название: Data Pipelines with Apache Airflow, Second Edition (MEAP v12)
Автор: Julian de Ruiter, Ismael Cabral, Kris Geusebroek, Daniel van der Ende, Bas Harenslak
Издательство: Manning Publications
Год: 2025
Страниц: 645
Язык: английский
Формат: pdf, epub
Размер: 47.9 MB
Simplify, streamline, and scale your data operations with data pipelines built on Apache Airflow. Apache Airflow provides a batteries-included platform for designing, implementing, and monitoring data pipelines. Building pipelines on Airflow eliminates the need for patchwork stacks and homegrown processes, adding security and consistency to the process. Now in its second edition, Data Pipelines with Apache Airflow teaches you to harness this powerful platform to simplify and automate your data pipelines, reduce operational overhead, and seamlessly integrate all the technologies in your stack. This book focuses on Apache Airflow, a batch-oriented framework for building data pipelines. Airflow’s key feature is that it enables you to easily build scheduled data pipelines using Python, while also providing many building blocks that allow you to stitch together the many different technologies encountered in modern technological landscapes. For DevOps, data engineers, Machine Learning engineers, and sysadmins with intermediate Python skills. | |
Разместил: Ingvar16 12-06-2025, 02:11 | Комментарии: 0 | Подробнее
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 Название: Integrating Neurocomputing with Artificial Intelligence
Автор: Abhishek Kumar, Pramod Singh Rathore, Sachin Ahuja, Umesh Kumar Lilhore
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 327
Язык: английский
Формат: pdf (true)
Размер: 33.6 MB
Integrating Neurocomputing with Artificial Intelligence provides unparalleled insights into the cutting-edge convergence of neuroscience and computing, enriched with real-world case studies and expert analyses that harness the transformative potential of neurocomputing in various disciplines. Integrating Neurocomputing with Artificial Intelligence is a comprehensive volume that delves into the forefront of the neurocomputing landscape, offering a rich tapestry of insights and cutting-edge innovations. This volume unfolds as a carefully curated collection of research, showcasing multidimensional perspectives on the intersection of neuroscience and computing. Readers can expect a deep exploration of fundamental theories, methodologies, and breakthrough applications that span the spectrum of neurocomputing. AI and Machine Learning, Deep Learning is where it is at right now. More and more academics are paying attention to it since it is a relatively young topic that has grown rapidly in the last time. In the current years, there has been a steady improvement in the presentation of CNN models on Deep Learning problems; these models are among the most significant classical structures in the field. Image classification, semantic separation, target identification, and natural language processing employ convolutional neural networks to autonomously learn sample data feature representations. A CNN model, hybrid CNN, and LSTM that incorporate text features with language knowledge may improve text language processing. | |
Разместил: Ingvar16 11-06-2025, 21:02 | Комментарии: 0 | Подробнее
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