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« Назад.. 1 2 3 4 5 6 7 8 9 10 ... 1969 Вперёд »

Название: The Complete Python Coding Manual - 22th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 164
Язык: английский
Формат: pdf
Размер: 84.5 MB

Существует несколько успешных языков программирования, подобных Python, и благодаря его уникальной разработке любой желающий может научиться кодировать технические проекты, такие как Большой адронный коллайдер, получение первого набора данных размером в петабайт с изображениями черных дыр и создание искусственного интеллекта следующего поколения. Освоить Python может любой желающий: освоение не займет много времени, но начинать нужно с малого. Это руководство поможет вам заложить основу для будущего программирования на Python, начиная с установки языка на ваш компьютер и заканчивая взаимодействием с пользователем и созданием сложных переменных. На этих страницах вы можете найти все, что вам нужно, чтобы стать программистом на Python и перейти на новый уровень. Если вы хотите улучшить свою карьеру, изучая Python, или просто хотите весело провести время и открыть для себя что-то новое, наши пошаговые руководства и обучающие программы предоставят вам необходимые знания. Начните программировать на Python!
Разместил: Ingvar16 Сегодня, 03:45 | Комментарии: 0 | Подробнее
Название: Ethical Artificial Intelligence in Power Electronics
Автор: Tarandeep Kaur Bhatia, Salma El Hajjami, Keshav Kaushik, Gayo Diallo
Издательство: CRC Press
Год: 2024
Страниц: 177
Язык: английский
Формат: pdf (true)
Размер: 24.8 MB

This book focuses on the techniques of Artificial Intelligence that are mainly used in the power electronics field for the optimization of lost vehicle power. With the intention of optimizing the powerful energy of the vehicles and producing reliable energy, the most efficient methods, algorithms, and strategies of Ethical Artificial Intelligence (AI) are being applied. By employing machine learning methods, the optimization of power energy in vehicles can be quickly recovered and managed efficiently. In today’s bustling world, power energy is indispensable for progress, yet in congested Vehicular Ad-hoc Networks (VANETs), vehicles often face power depletion and decreased efficiency. This book explores these challenges, encompassing not only power but also other critical power electronics within vehicles. We aim to introduce innovative approaches, leveraging ethical AI methods, to optimize energy performance in the face of these difficulties. Through this exploration, we seek to provide practical insights into navigating congested VANET environments while upholding ethical principles in technological advancements. Our book will discuss the current power energy concerns faced by vehicles and also contribute a novel strategy to overcome those concerns. The employment of ethical AI in vehicular power energy will undoubtedly improve the effectiveness and production of vehicles.
Разместил: Ingvar16 Сегодня, 01:48 | Комментарии: 0 | Подробнее
Название: Hypermodern Python Tooling: Building Reliable Workflows for an Evolving Python Ecosystem (Final Release)
Автор: Claudio Jolowicz
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 541
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem. With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, Nox, pytest, mypy, pre-commit, Black, Ruff, uv, Rye, Hatch, and more. Author Claudio Jolowicz shows you how to create robust Python project structures complete with unit tests, static analysis, code formatting, and type checking. You don’t strictly need these tools to write Python software. Fire up your system’s Python interpreter and get an interactive prompt. Save your Python code as a script for later. Why use anything beyond an editor and a shell? This is not a rhetorical question. Every tool you add to your development workflow should have a clear purpose and bring benefits that outweigh the costs of using it. Generally, the benefits of development tooling become manifest when you need to make development sustainable over time. At some point, publishing your module on the Python Package Index will be easier than emailing it to your users. This book assumes that you have a basic knowledge of the Python programming language. The only tooling you need to be familiar with are the Python interpreter, an editor or IDE, and the command line of your operating system.
Разместил: Ingvar16 Вчера, 21:44 | Комментарии: 0 | Подробнее
Название: Deep Learning at Scale: At the Intersection of Hardware, Software, and Data (Final Release)
Автор: Suneeta Mall
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 458
Язык: английский
Формат: epub
Размер: 15.9 MB

Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. Deep learning and scaling are correlated. Deep learning is capable of scaling your objectives from single task to multitask, from one modality to multimodality, from one class to thousands of classes. Anything is possible, provided you have scalable hardware and a large volume of data and write software that can efficiently scale to utilize all the resources available to you. This book aims to help you develop a deeper knowledge of the Deep Learning stack—specifically, how Deep Learning interfaces with hardware, software, and data. It assumes that the reader already has a fundamental knowledge of Deep Learning concepts such as optimizers, learning objectives and loss functions, and model assembly and compilation, as well as some experience with model development. Familiarity with Python and PyTorch is also essential for the practical sections of the book.
Разместил: Ingvar16 Вчера, 21:24 | Комментарии: 0 | Подробнее
Название: Python. Разработка на основе тестирования
Автор: Персиваль Г.
Издательство: ДMK
Год: 2018
Страниц: 624
Формат: PDF
Размер: 11 Мб
Язык: русский

Книга демонстрирует преимущества методологии разработки на основе тестирования (TDD) на языке Python. Вы научитесь писать и выполнять тесты для создания любого фрагмента вашего приложения и затем разрабатывать минимальный объем программного кода, необходимого для прохождения этих тестов. Вы также научитесь работать с различными инструментами и фрейм-ворками, такими как Django, Selenium, Git, jQuery и Mock.
Разместил: rivasss Вчера, 20:34 | Комментарии: 0 | Подробнее
Название: Artificial Intelligence and Machine Learning in Drug Design and Development
Автор: Abhirup Khanna, May El Barachi, Sapna Jain, Manoj Kumar
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 670
Язык: английский
Формат: pdf (true)
Размер: 88.5 MB

The book is a comprehensive guide that explores the use of Artificial Intelligence (AI) and Machine Learning (ML) in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence and Machine Learning within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals.
Разместил: Ingvar16 Вчера, 17:54 | Комментарии: 0 | Подробнее
Название: Explainable Artificial Intelligence in Healthcare Systems
Автор: A. Anitha Kamaraj, Debi Prasanna Acharjya
Издательство: Nova Science Publishers
Серия: Computer Science, Technology and Applications
Год: 2024
Страниц: 389
Язык: английский
Формат: pdf (true)
Размер: 37.7 MB

The twenty chapters in this book offer a comprehensive overview of the theory, algorithms, and applications of interpretable and Explainable Artificial Intelligence (XAI). They cover recent advances in the field of healthcare, reflect the current discourse, and offer suggestions for future research. The book is divided into four sections: primitive concepts of XAI, XAI in smart tele-medicine and tele-health, public health application using XAI, and medical imaging classification using XAI. Thus, the book covers a comprehensive set of material ranging from fundamentals to image analysis employing XAI ideas. Explainable Artificial Intelligence (XAI) is a next-generation research field that aims to make AI and deep models more human-interpretable without compromising performance. Artificial Intelligence (AI), Machine Learning, and Deep Learning models have paved a solid predictive path in numerous real-life applications, including medical imaging and healthcare tasks. In healthcare, decisions and investigation process is taken with great care, but risks are associated with diagnosing a disease. The diagnosis of the patient's illness is analyzed based on various symptoms, observations, test reports, and experience. However, there is a chance of uncertainty while analyzing the data. Additionally, a second opinion is sought in many cases. Using AI, it is possible to automate the model to mimic the process of a domain expert so that a physician can think of alternative decisions while making decisions. Specifically, XAI provides a clear picture of prediction concerning Deep Learning models and the use of predictedresults in healthcare applications. This book aims to provide the basic and intermediate notions of XAI and its application to healthcare applications.
Разместил: Ingvar16 Вчера, 17:19 | Комментарии: 0 | Подробнее
Название: How Machine Learning is Innovating Today's World: A Concise Technical Guide
Автор: Arindam Dey, Sukanta Nayak, Ranjan Kumar, Sachi Nandan Mohanty
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 477
Язык: английский
Формат: pdf (true)
Размер: 50.6 MB

Provides a comprehensive understanding of the latest advancements and practical applications of Machine Learning techniques. Machine Learning (ML), a branch of Artificial Intelligence (AI), has gained tremendous momentum in recent years, revolutionizing the way we analyze data, make predictions, and solve complex problems. As researchers and practitioners in the field, the editors of this book recognize the importance of disseminating knowledge and fostering collaboration to further advance this dynamic discipline. How Machine Learning is Innovating Today's World is a timely book and presents a diverse collection of 25 chapters that delve into the remarkable ways that ML is transforming various fields and industries. It provides a comprehensive understanding of the practical applications of ML techniques. The chapters herein cover a wide range of topics, each contributing a unique perspective to the broader landscape of machine learning. First is a comprehensive analysis of various tokenization techniques and the sequence-to-sequence model in natural language processing. Next, Chapter 2 explores the evaluation of English language readability using ML models, followed by a detailed study of text analysis for information retrieval through natural language processing (NLP) in the subsequent chapter. Recommender systems’ domain of application is discussed in Chapter 16, and the next chapter reviews mood detection, emoji generation, and classification using tokenization and CNN. Chapter 18 delves into a new variation of the exam scheduling problem using graph coloring, and Chapter 19 examines the intersection of software engineering and Machine Learning applications. The book will be extremely useful to professionals, post-graduate research scholars, policymakers, corporate managers, and anyone with technical interests looking to understand how Machine Learning and Artificial Intelligence can benefit their work.
Разместил: Ingvar16 Вчера, 16:49 | Комментарии: 0 | Подробнее
Название: Разработка мобильных приложений на C# для iOS и Android
Автор: Черников В.
Издательство: ДМК
Год: 2020
Cтраниц: 188
Формат: pdf (ocr)
Размер: 26 мб
Язык: русский

Данная книга в сжатой форме описывает целостный процесс создания приложений для смартфонов и планшетов. Рассматриваются особенности мобильных операционных систем и устройств, выбор инструментов для разработки, подготовка рабочей документации в духе Agile, проектирование структуры и архитектуры решения, создание автоматизированного конвейера Continues Integration/Continues Delivery, а также мониторинг работоспособности конечного продукта на устройствах реальных пользователей. Все примеры приведены на языке C#. Издание может быть рекомендована как опытным, так и начинающим программистам, интересующимся разработкой мобильных приложений. Также оно может быть использовано в качестве пособия в вузах, центрах дополнительного образования и др.
Разместил: rivasss Вчера, 16:33 | Комментарии: 0 | Подробнее
Название: Think Like a Software Engineering Manager (Final Release)
Автор: Akanksha Gupta
Издательство: Manning Publications
Год: 2024
Страниц: 353
Язык: английский
Формат: pdf (true)
Размер: 11.9 MB

Unlock your full potential as an effective, efficient, and inspiring leader, and be the software engineering manager that your team deserves! Most development teams are only as good as their leader. In this practical guide, you'll explore all aspects of the software engineering manager's job, from operational practices to the core skills of handling humans. Experienced team leader Akanksha Gupta helps you explore whether software engineering management is the right move for your career, guides you through preparing for the position, and gives you all the tools you need to thrive in the role. Thought-provoking exercises help you apply what you learn to your daily professional life, and prepare you for making the big decisions about software. A software engineering manager needs to be an amazing communicator, an effective decision maker, and a thoughtful mentor. Your success depends on your ability to evaluate and manage projects, motivate and lead your team, and coolly handle whatever crisis each new day brings. It's a big transition, and this book will guide you every step of the way. Think Like a Software Engineering Manager teaches you how to hire, train, and lead a successful development team. You'll start with building and managing your team to maximize performance. You'll then quickly progress to strategies for delivering large scale projects, cultivating excellence in your projects, and managing change. Author Akanksha Gupta's battle stories and industry anecdotes from her work at Amazon, Audible, Robinhood, and Microsoft reveal how the experts handle the biggest engineering management challenges. For new and aspiring software engineering managers.
Разместил: Ingvar16 Вчера, 15:13 | Комментарии: 0 | Подробнее

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