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Название: Deep Learning: A Practical Introduction
Автор: Manel Martínez-Ramón, Meenu Ajith, Aswathy Rajendra Kurup
Издательство: Wiley
Год: 2024
Страниц: 405
Язык: английский
Формат: pdf (true)
Размер: 15.7 MB

An engaging and accessible introduction to Deep Learning perfect for students and professionals. In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of Deep Learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples. Combining contemporary Deep Learning theory with state-of-the-art tools, the chapters are structured to maximize accessibility for both beginning and intermediate students. The authors have included coverage of TensorFlow, Keras, and Pytorch. In this chapter, we introduce the basic elements of Python to be used throughout the book, and we will revisit the code previously introduced in Chapter 3, among other examples. Perfect for undergraduate and graduate students studying Computer Vision, Computer Science, Artificial Intelligence, and neural networks, Deep Learning: A Practical Introduction will also benefit practitioners and researchers in the fields of Deep Learning and Machine Learning in general.
Разместил: Ingvar16 25-07-2024, 20:40 | Комментарии: 0 | Подробнее
Название: Deep Learning with PyTorch, Second Edition (MEAP v5)
Автор: Luca Antiga, Eli Stevens, Howard Huang
Издательство: Manning Publications
Год: 2024
Страниц: 326
Язык: английский
Формат: pdf (true), epub
Размер: 27.0 MB

The definitive computer vision book is back, featuring the latest neural network architectures and an exploration of foundation and diffusion models. Whether you are a beginner or are looking to progress in your computer vision career, this book guides you through the fundamentals of neural networks (NNs) and PyTorch and how to implement state-of-the-art architectures for real-world tasks. The second edition of Modern Computer Vision with PyTorch is fully updated to explain and provide practical examples of the latest multimodal models, CLIP, and Stable Diffusion. You’ll discover best practices for working with images, tweaking hyperparameters, and moving models into production. As you progress, you'll implement various use cases for facial keypoint recognition, multi-object detection, segmentation, and human pose detection. This book provides a solid foundation in image generation as you explore different GAN architectures. You’ll leverage transformer-based architectures like ViT, TrOCR, BLIP2, and LayoutLM to perform various real-world tasks and build a diffusion model from scratch. Additionally, you’ll utilize foundation models' capabilities to perform zero-shot object detection and image segmentation. Finally, you’ll learn best practices for deploying a model to production. By the end of this deep learning book, you'll confidently leverage modern NN architectures to solve real-world computer vision problems. This book is for beginners to PyTorch and intermediate-level machine learning practitioners who want to learn computer vision techniques using Deep Learning and PyTorch.
Разместил: Ingvar16 25-07-2024, 19:59 | Комментарии: 0 | Подробнее
Название: Rust Programming For Beginners: The Comprehensive Guide To Understanding And Mastering Rust Programming For Creating And Deploying Functional Applications
Автор: Voltaire Lumiere
Издательство: Independently published
Год: 2024
Страниц: 1326
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

With the help of the Ultimate Beginners Guide to Rust, you can Unleash the Raw Power of the Rust Programming Language and Create High-Performance, Scalable, and Fault-Tolerant Applications! Do you want to learn how to write robust programs... With the help of the Ultimate Beginners Guide to Rust, you can Unleash the Raw Power of the Rust Programming Language and Create High-Performance, Scalable, and Fault-Tolerant Applications! Do you want to learn how to write robust programs that can support millions of users at once without crashing, but you're not sure where to start? Are you a programmer who uses object-oriented programming presently and are considering switching to functional programming? One of the finest things you can do for your software career is to learn the Rust programming language if any of the following questions apply to you. This thorough introduction to the Rust programming language for beginners takes you inside the language's workings and demonstrates how to utilize its many features, from setting up Rust on your PC and executing your first code to building scalable apps. Safety and Rust's unique ownership system and strict compile-time checks ensure memory safety and prevent common bugs such as null pointer dereferencing, buffer overflows, and data races. By enforcing these safety guarantees at compile-time, Rust enables developers to write code that is less prone to crashes, security vulnerabilities, and unexpected behavior, making it an ideal choice for building robust and reliable software systems. Despite its focus on safety, Rust does not compromise on performance. By leveraging zero-cost abstractions and efficient memory management techniques, Rust enables developers to write code that is as fast and efficient as C and C++, making it well-suited for performance-critical applications such as game engines, web servers, and operating systems.
Разместил: Ingvar16 25-07-2024, 19:02 | Комментарии: 0 | Подробнее
Название: Algorithmic Trading Essentials: Python Integration for the Modern Trader
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 592
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unlock the future of trading with "Algorithmic Trading Essentials: Python Integration for the Modern Trader" – the definitive guide for traders ready to take their strategies to the next level. Moving beyond traditional methods, this book delves deep into sophisticated techniques that bridge the gap between theoretical knowledge and actionable skills, tailored for the modern enthusiast. Becoming proficient in algorithmic trading requires a diverse skillset. A strong foundation in mathematics, statistics, and financial theory is essential. Additionally, proficiency in programming languages, particularly Python, is crucial for developing trading algorithms. Tools like Jupyter Notebooks, NumPy, and Pandas become invaluable resources in the trader's toolkit. Today, the integration of Artificial Intelligence (AI) and Machine Learning into algorithmic trading is pushing the boundaries even further. AI-driven algorithms can process massive datasets, identify patterns, and adapt to market changes in real-time. Firms are increasingly investing in AI to gain a competitive edge, employing Natural Language Processing (NLP) to analyze news and sentiment, and Reinforcement Learning to optimize trading strategies. Whether you're an experienced trader or a quantitative analyst, Algorithmic Trading Essentials provides you with the insights and methodologies to expand your trading prowess. Elevate your game with cutting-edge techniques and a robust understanding of Python integration, transforming complex concepts into practical applications tailor-made for today's markets.
Разместил: Ingvar16 25-07-2024, 15:48 | Комментарии: 0 | Подробнее

Название: Автоматизация тестирования веб-приложений с помощью Selenium
Автор: Александр Кузнецов
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 273 Mb
Язык: Русский

Это базовый курс для тестировщиков, которые хотят с нуля научиться писать автоматизированные UI-тесты с помощью Selenium (самый популярный инструмент для автоматизации действий веб-браузеров). Прекрасно подойдет для тех, кто уже работает тестировщиком и не имеет опыта программирования.


Разместил: Chipa 25-07-2024, 12:32 | Комментарии: 0 | Подробнее
Название: Introduction to Python Programming and Data Structures, 3rd Edition
Автор: Y. Daniel Liang
Издательство: Pearson
Год: 2024
Страниц: 800
Язык: английский
Формат: epub
Размер: 30.1 MB

Introduction to Python Programming and Data Structures focuses on the fundamentals first to help learners learn problem solving and programming in a broad context. It introduces basic programming concepts and techniques on selections, loops, and functions, before writing custom classes. Step-by-step coverage demonstrates the use of Python to solve problems. Exercises and problems with varying levels of difficulty cover interesting application areas. The best way to learn programming is by practicing, and this introduction offers many opportunities to practice creating efficient, elegant code. The 3rd Edition has new data structures topics and UpToDate content, examples and exercises that keep pace with recent trends. This book assumes that you are a new programmer with no prior knowledge of programming. So what are the benefits of learning programming using Python? Python is easy to learn and fun to program. Python code is simple, short, readable, intuitive, and powerful, and thus it is effective for introducing computing and problem solving to beginners. The best way to teach programming is by example, and the only way to learn to program is by doing. Basic concepts are explained by examples and many exercises with various levels of difficulty are provided for students to practice what they learn. Our goal is to produce a text that teaches problem-solving and programming in a broad context using a wide variety of interesting examples and exercises.
Разместил: Ingvar16 25-07-2024, 12:21 | Комментарии: 0 | Подробнее
Название: Visualizing Surveys in R
Автор: Teppo Valtonen
Издательство: CRC Press
Год: 2024
Страниц: 327
Язык: английский
Формат: pdf (true), epub (true)
Размер: 102.2 MB

Visualizing Surveys in R is about creating static, print quality figures from survey data using R. The focus is not, for example, on statistical analysis of survey data, but rather on giving concrete solutions for typical problems in visualizing survey data. While there are many excellent books on data visualization, surveys and R, the aim of this book is to bring these topics together, and offer practical instructions for visualizing surveys in R. The book is intended for researchers who regularly use surveys and are interested in learning how to seize the vast possibilities and the flexibility of R in survey analysis and visualizations. The book is also valuable for psychologists, marketeers, HR personnel, managers, and other professionals who wish to standardize and automate the process for visualizing survey data. Finally, the book is suitable as a course textbook, either more widely on survey studies, or more strictly on visualizing survey data in R.
Разместил: Ingvar16 25-07-2024, 02:59 | Комментарии: 0 | Подробнее
Название: Современное системное администрирование: Управление надежными и устойчивыми системами
Автор: Дженнифер Дэвис
Издательство: БХВ-Петербург
Год: 2024
Страниц: 291
Язык: русский
Формат: pdf
Размер: 47.1 MB

Книга посвящена современным практикам и технологиям системного админи­стрирования. Приведены основные сведения о системах, архитектурах, вычисли­тельных средах, хранилищах, сетях. Рассмотрены методы и наборы инструментов сисадмина, вопросы контроля версий, тестирования, документирования и пред­ставления информации. Описана сборка системы, разработка сценариев, управле­ние инфраструктурой и обеспечение ее безопасности. Рассмотрен мониторинг системы, программного обеспечения и работы сисад­мина. Особое внимание уделено масштабированию системы, управлению мощно­стями, созданию надежной дежурной службы, управлению инцидентами и плани­рованию системы предупреждений. В последнее десятилетие понятие DevOps ошибочно использовалось для описания современного системного администрирования, но на самом деле это лишь один из множества новых подходов, которые мы должны внедрять, чтобы преуспевать в постоянно меняющейся среде. Современное системное администрирование — нечто большее, чем отдельная практика. Его нельзя охарактеризовать с помощью какого-то одного инструмента или учета индивидуальных вкладов участников. Хотя кому-то могло показаться, что в нашей профессии наконец-то появилась пу­теводная звезда под названием DevOps. Эта книга представляет собой карту, на кото­рой отмечены многочисленные отправные точки и пути, которые помогают овла­деть современным системным администрированием, и автор лично проверил многие из них. В отношении инженеров DevOps предполагается, что они должны владеть как минимум одним современным языком программирования и обладать эксперт­ными знаниями в области непрерывной интеграции и развертывания. Даже если вы не разрабатываете приложения, овладение навыками разработки про­грамм для оболочки или изучение еще одного языка программирования улучшит взаимодействие в команде и повысит производительность ее работы. Bash и PowerShell - подходящий выбор для большинства сред. Эти оболочки имеются в текущих версиях Linux и Windows, они всегда под рукой. Такие языки, как Python, C#, Ruby и Go, обла­дают своими преимуществами. Для системных администраторов, инженеров службы поддержки и других ИТ-специалистов.
Разместил: Ingvar16 24-07-2024, 15:27 | Комментарии: 0 | Подробнее
Название: Great Games Need Great Leaders: Multiclassing to Lead Game Development Teams
Автор: Matthew John Dyet
Издательство: CRC Press
Год: 2025
Страниц: 233
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB

This book brings together the knowledge and perspectives of numerous past and present games industry leaders and practitioners to form a clear picture of how leadership operates in a game development studio. It identifies the ways in which things are changing or can change for the better in the games industry and provides a set of tools for the reader to use in their own professional practice. Embark on a journey with this book to understand how great leaders help make great games. These leaders embrace change through a broad set of skills intended to empower and nurture the teams they find themselves responsible for. Through the lens of three fantasy roleplaying classes – the Warrior, the Bard, and the Cleric – readers will understand the wide variety of skills and considerations involved in leading game developers well. This book will be of great interest to anybody curious about or currently working in games development.
Разместил: Ingvar16 24-07-2024, 13:23 | Комментарии: 0 | Подробнее
Название: Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text, 2nd Edition
Автор: Taylor Arnold, Lauren Tilton
Издательство: Springer
Год: 2024
Страниц: 287
Язык: английский
Формат: pdf (true), epub
Размер: 50.7 MB

This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language. Methods for general-purpose visualization and analysis are introduced first, followed by domain-specific techniques for working with networks, text, geospatial data, temporal data, and images. The book is designed to be a bridge between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. The second edition of the text is a significant revision, with almost every aspect of the text rewritten in some way. The most notable difference is the incorporation of new R packages such as ggplot2 and dplyr that center broad data-science concepts. This 2nd edition of Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis, with one chapter dedicated to each stage of the data-science pipeline (data collection, visualization, manipulation, and relational joins). Following this, text analysis, networks, temporal data, geospatial data, and image analysis each have a dedicated chapter. These are grounded in examples to move readers beyond the intimidation of adding new tools to their research. The final section of the book extends the core material with additional computer science techniques for processing large datasets.
Разместил: Ingvar16 24-07-2024, 09:09 | Комментарии: 0 | Подробнее



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