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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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 Название: LLMOps: Managing Large Language Models in Production (Early Release)
Автор: Abi Aryan
Издательство: O’Reilly Media, Inc.
Год: 2025-01-29
Страниц: 100
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB
Are you wrestling with the complexities of deploying and managing large language models? The rapid evolution of AI technologies demands robust solutions that can streamline development, enhance security, and scale effectively. However, the lack of clear guidance can make navigating this landscape daunting. Enter this much needed book by Abi Aryan—a vital resource poised to transform your approach to MLOps. This comprehensive guide equips you with the essential techniques and tools to develop, deploy, and manage large language models efficiently. Whether you're a seasoned AI practitioner or just stepping into the field, this book is your gateway to mastering LLMOps, ensuring your projects are not just functional but flourishing. Discover how to integrate cutting-edge tools like ChatGPT and Whisper. | |
Разместил: Ingvar16 31-01-2025, 04:11 | Комментарии: 0 | Подробнее
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 Название: Mastering Terraform: Learn how to build and manage cloud infrastructure with Terraform
Автор: Nemanja Milenković
Издательство: BPB Publications
Год: 2025
Страниц: 266
Язык: английский
Формат: pdf, epub (true)
Размер: 10.8 MB
This book is a practical guide to mastering Terraform and IaC, helping readers build, manage, and scale modern infrastructure. It introduces setting up Terraform environments, mastering HashiCorp Configuration Language (HCL), and managing infrastructure state effectively. Learn to use Terraform providers for cloud platforms, define resources, and use variables and outputs for dynamic setups. Advanced topics include reusable modules, CI/CD integration, performance tuning, and security best practices. It also explores Terraform Cloud and Enterprise, covering remote state, VCS integration, team management, and Sentinel policies for enterprise-level control, making it a complete resource for mastering Terraform and IaC. By the end of this book, you will be well-equipped to manage your cloud infrastructure with confidence. You will gain expertise in configuration management, security best practices, and even explore features of Terraform Cloud and Enterprise for enhanced collaboration and team management. This book is for developers, system administrators, and DevOps professionals looking to start using Terraform and IaC. | |
Разместил: Ingvar16 30-01-2025, 19:49 | Комментарии: 0 | Подробнее
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 Название: Angular Masterclass: Building production-ready applications with advanced techniques and best practices
Автор: Souvik Basu
Издательство: BPB Publications
Год: 2025
Страниц: 344
Язык: английский
Формат: epub (true)
Размер: 22.0 MB
Angular is a popular jаvascript framework that empowers developers to create single-page applications (SPAs) with ease. This comprehensive guide is designed to equip you with the skills and knowledge to become a proficient Angular developer, even if you are starting from scratch. This book offers a step-by-step guide to mastering Angular development. It starts with setting up your environment, using Angular CLI for efficient project management, and creating reusable components that form the core of any Angular app. You will learn data binding to connect data with your user interface and routing to guide users through your app’s sections. The book covers TypeScript basics, Angular’s primary language, and component lifecycle hooks for managing behavior at different stages. Advanced topics include handling user input with reactive forms, testing for quality assurance, and deploying your application effectively. By the end of this masterclass, you will be well-equipped to confidently build modern, interactive, and user-friendly web applications using the power of Angular. | |
Разместил: Ingvar16 30-01-2025, 19:22 | Комментарии: 0 | Подробнее
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 Название: Data Science Essentials with R: Learn with focus on data manipulation, visualization, and machine learning
Автор: Abhishek Das
Издательство: BPB Publications
Год: 2025
Страниц: 268
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
This book teaches you to draw insights from your data. In today's data-driven business landscape, making informed decisions requires effective data analysis. This book guides you through the steps to import, structure, and visualize your data in R, and apply statistical and ML algorithms to drive better insights. This book offers a thorough introduction to data science, starting with R programming basics and advancing to ML and data visualization. Learn to clean, explore, and transform data using tools like dplyr. Key statistical concepts like probability, hypothesis testing, and modeling are covered, providing a foundation for data-driven decisions. Discover supervised and unsupervised ML techniques, feature engineering, and model evaluation. The book also provides career guidance in data science, including skill-building tips and job search strategies, equipping you to excel in this growing field. By the end of this book, you will be able to confidently use R to prepare data for analysis and apply ML algorithms to make predictions and drive business decisions. | |
Разместил: Ingvar16 30-01-2025, 18:57 | Комментарии: 0 | Подробнее
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 Название: Software Craftsmanship Using AI: Practical guide for using LLMs in writing, reviewing and testing code
Автор: Almantas Karpavičius
Издательство: BPB Publications
Год: 2025
Страниц: 288
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
This book is a workshop to create software using AI. A reader will be taken through a series of requirements and create a practical API from scratch. AI is without a doubt a productivity boost, and our goal is to help you maximize the boost by writing prompts effectively to generate, refactor, test, and review code. The purpose of this book is to take classic principles and put them into the context of AI. Is it enough to know theory, to be able to generate code using AI? Explore how much you can rely on AI (ChatGPT, GitHub Copilot)—and how much you need to know by yourself. We will aim to create a pair-programming-like experience and generate as much code as we can, writing as little code ourselves as possible. Quality is the key—at no point will we let the AI-generated code be worse than perfect. This book is also a modern take on software design fundamentals. To be able to scrutinize AI-generated code and to be able to guide AI effectively to better results, one should understand the theory behind software design. It starts with basics like clean function design and object-oriented principles, then advances to SOLID principles, design patterns, and Onion architecture. Readers will learn essential testing methods, including unit, integration, and acceptance tests using BDD and Specflow. The guide covers API development, focusing on security, validation, error handling, and external system integration. | |
Разместил: Ingvar16 30-01-2025, 17:02 | Комментарии: 0 | Подробнее
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