Название: CSS in Depth, Second Edition (MEAP v4)
Автор: Кеith J. Grаnt
Издательство: Manning Publications
Год: 2023
Страниц: 268
Язык: английский
Формат: epub
Размер: 13.6 MB

To create web designs that delight, entertain, and impress your users, you need to know CSS in depth! Go beyond the basics of CSS and discover web design techniques that range from clever to mind-blowing! This totally revised new edition of CSS in Depth expands your CSS skills with the patterns, layouts, and methods you need to deliver truly beautiful front ends. CSS in Depth has given thousands of web developers the tools and the inspiration to make sites that really pop. This second edition is packed with the latest best practices, new CSS language features, and essential advice on how to organize and maintain your CSS codebase. CSS in Depth, Second Edition deep dives into the CSS techniques used by the world’s most skilled web developers. It builds an in-depth understanding of how CSS works the way it does, with a laser focus on essential topics like vertical centering, margin collapsing, and positioning. Inside, you’ll learn how to build and organize a modular CSS codebase so that it’s easy to understand, maintain, and reuse. Written for web developers who know the basics of CSS and HTML.

Название: Exploring Microsoft Office - 2023 Edition: The Illustrated, Practical Guide to Using Office and Microsoft 365
Автор: Кеvin Wilsоn
Издательство: Elluminet Press
Год: 2023
Страниц: 808
Язык: английский
Формат: epub (true)
Размер: 93.4 MB

Introducing the illustrated guide to Microsoft Office, your companion for unlocking the full potential of Microsoft's Office Suite! Whether you're a beginner or an experienced user, this newly updated and revised guide, Exploring Microsoft Office, is designed to enhance your productivity and streamline your workflow. Discover the power of Microsoft 365 (formerly Office 365) with its many productivity features and services. Unlike other resources, Exploring Microsoft Office prioritizes simplicity and clarity, ensuring that users of all backgrounds, from students to senior citizens, can grasp the fundamentals of Microsoft Office. Whether you're searching for an Office manual, a visual book, a simplified tutorial, a dummies guide, or a reliable reference, Exploring Microsoft Office is your go-to resource for increasing productivity and embracing the digital revolution.

Название: Blockchain and Deep Learning for Smart Healthcare
Автор: Аkаnshа Singh, Аnurаdhа Dhull, Кrishnа Каnt Singh
Издательство: Wiley-Scrivener
Год: 2024
Страниц: 470
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB

The book discusses the popular use cases and applications of blockchain technology and Deep Learning in building smart healthcare. The book covers the integration of blockchain technology and Deep Learning for making smart healthcare systems. Blockchain is used for health record-keeping, clinical trials, patient monitoring, improving safety, displaying information, and transparency. Deep Learning is also showing vast potential in the healthcare domain. With the collection of large quantities of patient records and data, and a trend toward personalized treatments. there is a great need for automated and reliable processing and analysis of health information. This book covers the popular use cases and applications of both the above-mentioned technologies in making smart healthcare. Blockchain technology is poised to revolutionize more than just payment and cryptocurrency. Many vertical industries will be reshaped by the new trusted data models enabled and inspired by the blockchain—healthcare is no exception. In fact, healthcare may hold the greatest opportunities for the meaningful use of the technology. For comprises professionals and researchers working in the fields of Deep Learning, blockchain technology, healthcare & medical informatics. In addition, as the book provides insights into the convergence of Deep Learning and blockchain technology in healthcare systems and services, medical practitioners as well as healthcare professionals will find this essential reading.

Название: Learning Automata and Their Applications to Intelligent Systems
Автор: JunQi Zhаng, МеngСhu Zhоu
Издательство: Wiley-IEEE Press
Год: 2024
Страниц: 275
Язык: английский
Формат: pdf (true), epub
Размер: 21.6 MB

Comprehensive guide on learning automata, introducing two variants to accelerate convergence and computational update speed. Learning Automata and Their Applications to Intelligent Systems provides a comprehensive guide on learning automata from the perspective of principles, algorithms, improvement directions, and applications. The text introduces two variants to accelerate the convergence speed and computational update speed, respectively; these two examples demonstrate how to design new learning automata for a specific field from the aspect of algorithm design to give full play to the advantage of learning automata. As noisy optimization problems exist widely in various intelligent systems, this book elaborates on how to employ learning automata to solve noisy optimization problems from the perspective of algorithm design and application. The existing and most representative applications of learning automata include classification, clustering, game, knapsack, network, optimization, ranking, and scheduling. A timely text in a rapidly developing field,Learning Automata and Their Applications to Intelligent Systems is an essential resource for researchers in Machine Learning, engineering, operation, and management. The book is also highly suitable for graduate level courses on Machine Learning, soft computing, reinforcement learning and stochastic optimization.

Название: Methods and Applications of Autonomous Experimentation
Автор: Маrсus М. Nоасk, Dаniеlа Ushizimа
Издательство: CRC Press
Серия: Chapman & Hall/CRC Computational Science
Год: 2024
Страниц: 445
Язык: английский
Формат: pdf (true)
Размер: 41.3 MB

Autonomous Experimentation is poised to revolutionize scientific experiments at advanced experimental facilities. Whereas previously, human experimenters were burdened with the laborious task of overseeing each measurement, recent advances in mathematics, machine learning and algorithms have alleviated this burden by enabling automated and intelligent decision-making, minimizing the need for human interference. Illustrating theoretical foundations and incorporating practitioners’ first-hand experiences, this book is a practical guide to successful Autonomous Experimentation. Just like so many other topics that have been adopted into the realm of Machine Learning and AI—Deep Learning, digital twins, active learning, and so on—Autonomous Experimentation has become a fuzzy, ill-defined ideal everyone wants, but seemingly no one can deliver. The main reason for that is the missing, inherent meaning of the term “Autonomous Experimentation”. In this book, we want to separate the practical methods and applications from the buzz and hype surrounding the term. Autonomous Experimentation (AE) is an emerging paradigm for accelerating scientific discovery, leveraging Artificial Intelligence and Machine Learning methods to automate the entire experimental loop, including the decision-making step. AE combines advancements in hardware automation, data analytics, modeling, and active learning to augment a scientific instrument, enabling it to autonomously explore the search space corresponding to a problem of interest.

Название: Google Cloud Platform for Data Science: A Crash Course on Big Data, Machine Learning, and Data Analytics Services
Автор: Shitаlkumаr R. Sukhdеvе, Sаndika S. Sukhdеvе
Издательство: Apress
Год: 2024
Страниц: 231
Язык: английский
Формат: pdf
Размер: 10.2 MB

This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for Data Science, using only the free tier services offered by the platform. Data Science and Machine Learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. GCP offers a range of Data Science services that can be used to store, process, and analyze large datasets, and train and deploy Machine Learning models. The book is organized into seven chapters covering various topics such as GCP account setup, Google Colaboratory, Big Data and Machine Learning, Data Visualization and Business Intelligence, Data Processing and Transformation, Data Analytics and Storage, and Advanced Topics. Each chapter provides step-by-step instructions and examples illustrating how to use GCP services for Data Science and Big Data projects. Readers will learn how to set up a Google Colaboratory account and run Jupyter notebooks, access GCP services and data from Colaboratory, use BigQuery for data analytics, and deploy Machine Learning models using Vertex AI. For Data scientists, machine learning engineers, and analysts who want to learn how to use Google Cloud Platform (GCP) for their Data Science and Big Data projects.

Название: Разработка веб-приложений на платформе Spring
Автор: Суханов В.И.
Издательство: Екатеринбург: Уральский федеральный университет
Год: 2023
Формат: djvu
Страниц: 180
Размер: 12 mb
Язык: Русский

Последовательно рассматриваются концепции современных платформ Spring, Spring Boot, Angular, популярных у профессиональных разработчиков высоконагруженных веб-приложений. Материал пособия основан на оригинальной документации разработчиков инструментальных средств, на публикациях описаний технологий программирования в интернет-ресурсах и проверенных автором примерах приложений с использованием СУБД PostgreSQL. Приведенные примеры фрагментов кода и справочные материалы позволят студентам разобраться в деталях правил использования рассматриваемых платформ, приобрести навыки разработки веб-приложений, выполнить проекты различной сложности.

Название: Data Science and Machine Learning Applications in Subsurface Engineering
Автор: Dаniеl Аsаntе Оtсhеrе
Издательство: CRC Press
Год: 2024
Страниц: 322
Язык: английский
Формат: pdf (true)
Размер: 27.5 MB

The utilization of Machine Learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments,Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy). It is known that many articles and texts prevent the reader from reproducing the results either because the data were not freely available or because the software was inaccessible, or only available for purchase. Therefore, it was my goal to be as hands-on as possible in stating the methods used, enabling the readers to reproduce the results and extend the methodology to their own data. Furthermore, the authors opted to use the Python language, an open-access software, for all stages of the Machine Learning process. Most of the chapters contain links to the data sets, Python notebooks, and software used here to reproduce the analyses in each chapter. I selected Python as the computational engine of this book for several reasons. First, Python is freely available for multiple operating systems. I encourage you to take the time to compare each of your solutions with the results in this book. Performing this comparison may help you become more familiar with a technique you could have used to solve a specific problem more efficiently.

Название: Fundamentals of IoT: Get familiar with the building blocks of IoT
Автор: Rаjаn Guрtа, Suрriуа Маdаn
Издательство: BPB Publications
Год: 2023
Страниц: 323
Язык: английский
Формат: epub (true)
Размер: 10.5 MB

A comprehensive guide to IoT's core concepts and principles. The Internet of Things (IoT) is a network of physical objects embedded with sensors, software, and connectivity, enabling them to collect and exchange data. It revolutionizes the way we interact with our surroundings by connecting devices and allowing them to communicate over the Internet. If you want to dive deeper into the fascinating world of IoT, then this book is for you. This book serves as your comprehensive guide to understanding and harnessing the power of IoT and Arduino to create innovative and intelligent solutions. The Internet of Things has emerged as a game-changing technology that has the potential to transform industries, revolutionize everyday life, and unlock endless possibilities. By connecting physical objects and devices to the internet, IoT enables seamless communication, data exchange, and intelligent decision-making. Arduino is a versatile open-source platform widely used for building interactive projects and prototyping IoT applications. Its user-friendly interface and robust ecosystem make it an ideal choice for beginners and professionals alike. In this book, we aim to provide a holistic approach to exploring the Internet of Things and Arduino programming. Whether you are a student, educator, hobbyist, or industry professional, this book is designed to equip you with the knowledge and skills necessary to dive into the world of IoT. We will start with a solid foundation, introducing you to the core concepts of IoT and explaining the significance of this technology in today's interconnected world. We will explore the various components of IoT systems, including sensors, actuators, and communication protocols. Next, we will delve into the world of Arduino programming.

Название: A Power BI Compendium: Answers to 65 Commonly Asked Questions on Power BI
Автор: Аlisоn Вох
Издательство: Apress
Год: 2023
Страниц: 362
Язык: английский
Формат: pdf (true), epub
Размер: 69.9 MB

Are you a reasonably competent Power BI user but still struggling to generate reports that truly tell the story of your data? Or do you simply want to extend your knowledge of Power BI by exploring more complex areas of visualizations, data modelling, DAX, and Power Query? If so, this book is for you. This book serves as a comprehensive resource for users to implement more challenging visuals, build better data models, use DAX with more confidence, and execute more complex queries so they can find and share important insights into their data. The contents of the chapters are in a question-and-answer format that explore everyday data analysis scenarios in Power BI. These questions have been generated from the author’s own client base and from commonly sought-for information from the Power BI community. They cover a wide and diverse range of topics that many Power BI users often struggle to get to grips with or don’t fully understand. After working through this book, you will have extended your knowledge of Power BI to an expert level, alleviating your existing frustrations and so enabling you to design Power BI reports where you are no longer limited by your lack of knowledge or experience.