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Название: Ultimate Hyperledger Fabric for DeFi with Blockchain: Unlock the Power of Hyperledger Fabric and Ethereum to Create Secure, Scalable DeFi Applications on Blockchain Автор: Shubham Jain Издательство: Orange Education Pvt Ltd, AVA Год: 2025 Страниц: 339 Язык: английский Формат: epub (true) Размер: 42.1 MB
Master Hyperledger Fabric for Decentralized Finance Solutions. Learning Hyperledger Fabric for DeFi is crucial as it empowers developers to create secure, scalable, and efficient blockchain-based systems, laying the foundation for the future of decentralized financial ecosystems. "Ultimate Hyperledger Fabric for DeFi with Blockchain" is a comprehensive guide that helps developers master the implementation of decentralized finance (DeFi) applications using Hyperledger Fabric and Ethereum. With a focus on decentralized applications (dApps), the book provides a detailed understanding of blockchain technologies, with hands-on examples that demonstrate how to leverage these tools in real-world DeFi ecosystems. Covering everything from fundamental blockchain concepts to advanced techniques, it supports both beginners and experienced developers in creating robust decentralized financial solutions. jаvascript is essential for building all sorts of things on the web, including interactive websites, apps for phones and computers, and managing tasks on servers. Node.js brings jаvascript to servers, allowing you to create powerful applications beyond just web browsers. Additionally, we will discuss Express, a helpful tool for building web servers and APIs, which can streamline development and allow you to focus more on enhancing user experience. By mastering these tools, we will be well-prepared to delve into blockchain development and explore its myriad possibilities. |
Разместил: Ingvar16 1-02-2025, 17:02 | Комментарии: 0 | Подробнее
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Название: Ultimate AWS CDK for Infrastructure Automation: Extract the Full Potential of AWS CDK for Seamless Infrastructure Automation of Your Cloud with Practical Examples, Best Practices, and Expert Tips Автор: Anish Kumar Издательство: Orange Education Pvt Ltd, AVA Год: 2025 Страниц: 278 Язык: английский Формат: epub (true) Размер: 10.1 MB
Transform IaC with AWS CDK to Simplify, Secure, and Scale Your Cloud. The AWS Cloud Development Kit (CDK) transforms infrastructure automation, empowering developers to simplify, optimize, and scale cloud operations. As cloud infrastructure plays a vital role in modern applications, mastering AWS CDK is a critical skill for developers and DevOps professionals. "Ultimate AWS CDK for Infrastructure Automation" equips you with practical skills to harness its full potential. This book introduces Infrastructure as Code (IaC) principles and AWS CDK fundamentals, guiding you through core concepts like stacks, constructs, environments, and resources. You'll learn to build multi-stack projects, configure CI/CD pipelines, and apply best practices for modular and reusable code. The AWS Cloud Development Kit (AWS CDK) is an open-source software development framework designed to define cloud infrastructure in code and provision it through AWS CloudFormation. Unlike traditional Infrastructure as Code (IaC) tools that use JSON or YAML, AWS CDK allows developers to use familiar high-level programming languages such as TypeScript, jаvascript, Python, Java, Go, and C#. This approach makes it easier to define cloud resources in a more expressive and programmatically rich way. |
Разместил: Ingvar16 1-02-2025, 06:41 | Комментарии: 0 | Подробнее
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Название: Large Language Model via Rust: The State of the Art Open Foundational Models in Rust Автор: Jaisy Malikulmulki Arasy, Evan Pradipta Hardinatha, Idham Hanif Multazam Издательство: RantAI Academy Год: January 6, 2025 Страниц: 133 Язык: английский Формат: pdf, epub Размер: 10.1 MB
"LMVR - Large Language Models via Rust" is a pioneering open-source project that bridges the power of foundational models with the robustness of the Rust programming language. It highlights Rust's strengths in performance, safety, and concurrency while advancing the state-of-the-art in AI. Tailored for students, researchers, and professionals, LMVR delivers a comprehensive guide to building scalable, efficient, and secure large language models. By leveraging Rust, this book ensures that cutting-edge research and practical solutions go hand-in-hand. Readers will gain in-depth knowledge of model architectures, training methodologies, and real-world deployments, all while mastering Rust's unique capabilities for AI development. This book serves as a comprehensive resource for learning about large language models and their implementation in Rust. Start with Part I to build a strong foundation in the mathematical and architectural aspects of LLMs. Progress through the chapters sequentially to understand advanced transformer architectures and practical applications. |
Разместил: Ingvar16 1-02-2025, 03:31 | Комментарии: 0 | Подробнее
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Название: Hands-On AI Trading with Python, QuantConnect, and AWS Автор: Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, Jared Broad Издательство: Wiley Год: 2025 Страниц: 416 Язык: английский Формат: True/Retail EPUB Размер: 27.9 MB
Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance. Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt. Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks. Integrate AI into your next algorithmic trading strategy with Hands-On AI Trading with Python, QuantConnect, and AWS. |
Разместил: Ingvar16 31-01-2025, 21:32 | Комментарии: 0 | Подробнее
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Название: Principles of Machine Learning: The Three Perspectives Автор: Wenmin Wang Издательство: Springer Год: 2025 Страниц: 548 Язык: английский Формат: pdf (true), epub Размер: 39.5 MB
Conducting an in-depth analysis of Machine Learning, this book proposes three perspectives for studying Machine Learning: the learning frameworks, learning paradigms, and learning tasks. With this categorization, the learning frameworks reside within the theoretical perspective, the learning paradigms pertain to the methodological perspective, and the learning tasks are situated within the problematic perspective. Throughout the book, a systematic explication of Machine Learning principles from these three perspectives is provided, interspersed with some examples. This book provides a multi-dimensional and systematic interpretation of Machine Learning, rendering it suitable as a textbook reference for senior undergraduates or graduate students pursuing studies in Artificial Intelligence, Machine Learning, Data Science, Computer Science, and related disciplines. Additionally, it serves as a valuable reference for those engaged in scientific research and technical endeavors within the realm of Machine Learning. |
Разместил: Ingvar16 31-01-2025, 21:11 | Комментарии: 0 | Подробнее
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Название: Artificial Neural Networks: Alpha Unpredictability and Chaotic Dynamics Автор: Marat Akhmet, Madina Tleubergenova, Akylbek Zhamanshin, Zakhira Nugayeva Издательство: Springer Год: 2025 Страниц: 256 Язык: английский Формат: pdf (true), epub Размер: 52.9 MB
Mathematical chaos in neural networks is a powerful tool that reflects the world’s complexity and has the potential to uncover the mysteries of the brain’s intellectual activity. Through this monograph, the authors aim to contribute to modern chaos research, combining it with the fundamentals of classical dynamical systems and differential equations. The readers should be reassured that an in-depth understanding of chaos theory is not a prerequisite for working in the area designed by the authors. Those interested in the discussion can have a basic understanding of ordinary differential equations and the existence of bounded solutions of quasi-linear systems on the real axis. The methods and results presented in this book are meant to benefit senior researchers, engineers, and specialists working in artificial neural networks, machine and deep learning, computer science, quantum computers, and applied and pure mathematics. This broad applicability underscores the value and relevance of this research area to a large academic community and the potential impact it can have on various fields. |
Разместил: Ingvar16 31-01-2025, 20:44 | Комментарии: 0 | Подробнее
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Название: Causal Inference for Data Science (Final Release) Автор: Aleix Ruiz de Villa Robert Издательство: Manning Publications Год: 2025 Страниц: 392 Язык: английский Формат: epub (true) Размер: 10.1 MB
When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and Machine Learning. A/B tests or randomized controlled trials are expensive and often unfeasible in a business environment. Causal Inference for Data Science reveals the techniques and methodologies you can use to identify causes from data, even when no experiment or test has been performed. It’s possible to predict events without knowing what causes them. Understanding causality allows you both to make data-driven predictions and also intervene to affect the outcomes. Causal Inference for Data Science shows you how to build Data Science tools that can identify the root cause of trends and events. You’ll learn how to interpret historical data, understand customer behaviors, and empower management to apply optimal decisions. Why did you get a particular result? What would have lead to a different outcome? These are the essential questions of causal inference. This powerful methodology improves your decisions by connecting cause and effect—even when you can’t run experiments, A/B tests, or expensive controlled trials. For data scientists, ML engineers, and statisticians. |
Разместил: Ingvar16 31-01-2025, 17:52 | Комментарии: 0 | Подробнее
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Название: LLM & Transformer Interview Essentials A–Z: A Silicon Valley Insider's Guide. Volume 1 Автор: X. Fang Издательство: Independently published Год: November 22, 2024 Страниц: 366 Язык: английский Формат: epub Размер: 15.3 MB
Ever since the release of ChatGPT in November 2022, the advances in AI and its growth in the public consciousness have been tremendous. At the heart of these epochal changes lies a single Machine Learning component: the transformer. Like the transistor of the 1960s, the transformer of the 2020s has given us an efficient, composable structure for solving generalized problems, and the transformer can be replicated, scaled up, modularized, and miniaturized however we might need. While the large language models (LLMs) that underpin products like ChatGPT are the most popular, these are but one configuration of the transformer. This book is written for the engineers, machine learning scientists, data scientists, and technologists who are either working with LLMs or transformers, or who are currently trying to break into the field. This technology is so new that Machine Learning interviews for such positions have not yet been standardized and commoditized to the level of LeetCode, so a broad familiarity with the core concepts is required. Indeed, it is possible to be an expert on one aspect of the LLM space yet still be blindsided by a comparatively rudimentary question on another. |
Разместил: Ingvar16 31-01-2025, 15:48 | Комментарии: 0 | Подробнее
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Название: Обработка естественного языка с TensorFlow Автор: Ганегедара Т. Издательство: ДМK Год: 2020 Cтраниц: 382 Формат: pdf (ocr) Размер: 17 мб Язык: русский
Обработка естественного языка применяется в различных приложениях машинного обучения, а TensorFlow является важнейшей библиотекой для реализации систем глубокого обучения на практике. Эта книга знакомит читателя с методами обработки естественного языка и содержит практическое руководство по работе с TensorFlow, предоставляя мощный инструмент для работы с огромными объемами неструктурированных данных и решения уникальных задач по обработке естественного языка. Книга начинается с изучения общих понятий NLP и принципа работы TensorFlow. |
Разместил: rivasss 31-01-2025, 14:03 | Комментарии: 0 | Подробнее
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Название: Python for Large Language Models: A Beginners Handbook For Leveraging Llms Into Modern Development Workflows And Applications Автор: Code Planet Издательство: Code Planet Год: 2025 Страниц: 292 Язык: английский Формат: epub Размер: 10.1 MB
Dive into the world of Large Language Models (LLMs) with this beginner-friendly guide that bridges the gap between cutting-edge AI technology and practical Python programming! Whether you're a curious coder or an aspiring AI enthusiast, this book is your gateway to mastering the art of integrating LLMs into modern development workflows and creating impactful applications. Large Language Models (LLMs) have become a cornerstone of modern Artificial Intelligence (AI), offering unprecedented capabilities in understanding, generating, and interacting with human language. These models, powered by advanced machine learning techniques, have revolutionized industries ranging from customer service to software development, and from education to creative writing. In this book, we will explore the fundamental aspects of LLMs, delving into their definition, their applications in development, and an overview of some of the most popular models, including GPT and BERT. |
Разместил: Ingvar16 31-01-2025, 05:35 | Комментарии: 0 | Подробнее
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