Название: Getting Started with Containers in Azure: Deploy Secure Cloud Applications Using Terraform, 2nd Edition
Автор: Shimon Ifrah
Издательство: Apress
Год: 2024
Страниц: 221
Язык: английский
Формат: pdf (true), epub
Размер: 10.6 MB

Master the skills needed to deploy container services on Microsoft Azure using Terraform. This book will take you through the entire process of designing, deploying, and managing container services such as Azure Kubernetes Service (AKS), Azure Container Instances (ACI), Azure Container Registry (ACR), and Azure Web App for Containers. In this fully updated second edition, Author Shimon Ifrah demonstrates how to use Terraform, PowerShell and Azure CLI to provision and manage container services in Azure. As you’ll be using Terraform as the main tool for deployment, a basic knowledge of Terraform is a prerequisite. In addition, you will see how Azure DevOps services can be used to deploy infrastructure and container services with Terraform using Azure Pipelines without using the Azure Portal. The book concludes with a tutorial on how to use Azure Defender for Cloud to safeguard Terraform and infrastructure-as-code against malicious threats, so you can deliver secure applications. Upon completing this book, you will have a thorough understanding of how to use Terraform to deploy secure and efficient cloud applications on Azure. For Azure administrators, developers, and architects who want to get started and learn more about containers and containerized applications on Microsoft Azure.

Название: Visual Studio Extensibility Development: Extending Visual Studio IDE for Productivity, Quality, Tooling, Analysis, and Artificial Intelligence, 2nd Edition
Автор: Rishabh Verma
Издательство: Apress
Год: 2024
Страниц: 455
Язык: английский
Формат: pdf (true)
Размер: 23.0 MB

Master Visual Studio extensibility for an enhanced Visual Studio IDE experience. This book is a comprehensive guide that covers every facet of developing, debugging, and publishing extensions that amplify your productivity, tooling, and analysis within the Visual Studio IDE. This new edition is updated for Visual Studio 2022, which is the latest and greatest version of Visual Studio. Since the last edition, Artificial Intelligence (AI) has taken the world by the storm. This revised edition demonstrates how AI can take your extensions to unparalleled heights using ChatGPT. The book begins with an introduction to the essential concepts of Visual Studio, including data structures and design patterns before diving into the fundamentals of the Visual Studio extensibility model. Here you will learn the anatomy of a VSIX and how extensions are discovered and loaded in Visual Studio. Next, you will explore the extensibility model and see how various extensions, such as menus, commands, and tool windows can be plugged into Visual Studio. Moving forward, you’ll cover developing VS extensions and how they can be made configurable by customizing the UI and options page, and you’ll learn to develop a VS extension that leverages ChatGPT. Next, you will see how to extend the most often used component of Visual Studio, the code editor, before creating your own sample code snippets and templates. This is followed by a demonstration of how to deploy extensions using continuous integration (CI). Finally, you will learn tips and tricks for Visual Studio and its extensibility, along with a few highly valuable extensions. After reading Visual Studio Extensibility Development, you will be able to develop, debug, customize, and deploy extensions in Visual Studio IDE.

Название: Handbook of Research on AI and ML for Intelligent Machines and Systems
Автор: Brij B. Gupta, Francesco Colace
Издательство: IGI Global
Год: 2024
Страниц: 530
Язык: английский
Формат: pdf (true), epub
Размер: 33.6 MB

The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by Artificial Intelligence (AI) and Machine Learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths.

Название: Machine Learning Algorithms Using Scikit and TensorFlow Environments
Автор: Puvvadi Baby Maruthi, Smrity Prasad, Amit Kumar Tyagi
Издательство: IGI Global
Год: 2024
Страниц: 473
Язык: английский
Формат: pdf (true)
Размер: 14.2 MB

Machine Learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students. Machine Learning plays a vital role in all major sectors like healthcare, banking, finance, and marketing. There is a need to understand the role and working of ML algorithms in a better way. Google also uses a learning algorithm to rank the web pages whenever we try to browse the internet to get the desired information. Understanding the platform and working of these algorithms is crucial for researchers. In the Chapter 2, the authors have presented an overview of Machine Learning fundamentals and the working of these algorithms with suitable examples. They have also highlighted the importance of major Machine Learning libraries like TensorFlow and SciKit in developing and deploying vast applications. Finally, a case study of ML application is presented to better understand the concept. Future prospects of ML applications are also depicted in detail.

Название: WAIC and WBIC with Python Stan: 100 Exercises for Building Logic
Автор: Joe Suzuki
Издательство: Springer
Год: 2023
Страниц: 249
Язык: английский
Формат: pdf (true), epub
Размер: 46.2 MB

Master the art of Machine Learning and Data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion. The book expertly guides you through relevant mathematical problems while also providing hands-on experience with programming in Python and Stan. Whether you’re a data scientist looking to refine your model selection process or a researcher who wants to explore the latest developments in Bayesian statistics, this accessible guide will give you a firm grasp of Watanabe Bayesian Theory. It is very inconvenient if there is no source code in a Machine Learning book. Furthermore, even if there is a package, without the source code, you cannot improve the algorithm. Sometimes the source is made public on platforms like git, but it may only be available in MATLAB or Python or may not be sufficient. In this book, code is written for most processes, so you can understand what it means even if you don't understand the math. Embark on your Machine Learning and Data Science journey with this essential textbook and unlock the full potential of WAIC and WBIC today!

Название: Python Programming for Lucrative Careers: Your Fast-Track to Mastering Python Skills in Just One Week with Insider Coding Hacks + 30 Hands-On Exercises Included
Автор: Nicholas Dempsey
Издательство: Independently published
Год: 2023
Страниц: 174
Язык: английский
Формат: pdf (true)
Размер: 27.3 MB

Do you dream of unlocking high-paying job opportunities and enhancing your career prospects with these in-demand skills? Are you searching for a comprehensive guide that will demystify Python, propelling you from a beginner to a coding hero? Python has become the backbone of modern computing, offering unparalleled capabilities for web development, data analysis, automation, and beyond. In just seven days, you can transition from a coding novice to a proficient programmer. Our accelerated approach optimizes your learning curve, ensuring every moment counts. Whether you're a novice or have dabbled in coding before, this book is your key to unlocking the potential of these languages without the confusion or overwhelming technicalities. Your time is invaluable, and I've distilled years of coding expertise into this comprehensive guide. Whether you're a student, a career switcher, or simply curious about the coding universe, this book is tailored for you. Don't miss this opportunity to transform your career prospects and unlock the world of high-paying tech jobs.

Название: Applied Machine Learning Using mlr3 in R
Автор: Bernd Bischl, Raphael Sonabend, Lars Kotthoff
Издательство: CRC Press
Год: 2024
Страниц: 356
Язык: английский
Формат: pdf (true)
Размер: 37.0 MB

mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art Machine Learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust Machine Learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic Machine Learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of Machine Learning approaches to obtain peak performance; building Machine Learning pipelines that perform complex operations such as pre-processing followed by modelling followed by aggregation of predictions; and extending the mlr3 ecosystem with custom learners, measures, or pipeline components. The book is primarily aimed at researchers, practitioners, and graduate students who use Machine Learning or who are interested in using it. It can be used as a textbook for an introductory or advanced Machine Learning class that uses R, as a reference for people who work with Machine Learning methods, and in industry for exploratory experiments in Machine Learning.

Автор: Финогенов К. Г.
Название: Win32. Основы программирования
Издательство: М.: Диалог-МИФИ
Год: 2006
Страниц: 416
Формат: PDF
Размер: 62 МБ
Книга является простым и доступным для широкого круга читателей пособием пи разработке 32-разрядных программ для систем Windows на языке С++. Рассмотрены основные особенности архитектуры защищенного режима процессоров Intel, дано введение в язык С++, описаны принципы составления прикладных iipofpaMM для Windows. Особое внимание yдeJtяeтcя новым средствам, включенным в Win32, - потокам, процессам, синхронизации, передаче данных, отображению файлов в намять и др...

Название: Deep Learning for Multimedia Processing Applications: Volume 1: Image Security and Intelligent Systems for Multimedia Processing
Автор: Uzair Aslam Bhatti, Jingbing Li, Mengxing Huang
Издательство: CRC Press
Год: 2024
Страниц: 313
Язык: английский
Формат: pdf (true)
Размер: 31.8 MB

Deep Learning for Multimedia Processing Applications is a comprehensive guide that explores the revolutionary impact of Deep Learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of Deep Learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing (NLP). Divided into two volumes, Volume One begins by introducing the fundamental concepts of Deep Learning, providing readers with a solid foundation to understand its relevance in multimedia processing. Readers will discover how Deep Learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of Deep Learning in extracting meaningful information from videos. Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using Deep Learning models. It demonstrates how Deep Learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of Deep Learning with natural language processing (NLP) techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts.

Автор: Дукин, А. Н.
Название: Самоучитель Visual Basic 2010
Издательство: СПб.: БХВ-Петербург
Год: 2010
Страниц: 560
Формат: DJVU, PDF
Размер: 13 МБ
Доступно и подробно описана разработка приложений в среде Visual Basic 2010. Рассмотрены основные понятия объектно-ориентированного программирования и классов, разработка программного интерфейса, работа с файлами, организация печати, методика разработки интернет-приложений, работа с графикой с использованием интерфейса GD1+, создание справочной системы и установочного компакт-диска...