Название: Graph Neural Networks: Foundations, Frontiers, and Applications
Автор: Lingfei Wu, Peng Cui
Издательство: Springer
Год: 2022
Страниц: 701
Язык: английский
Формат: pdf (true)
Размер: 16.2 MB

The field of graph neural networks (GNNs) has seen rapid and incredible strides over the recent years. Graph neural networks, also known as deep learning on graphs, graph representation learning, or geometric deep learning, have become one of the fastest-growing research topics in machine learning, especially deep learning. This wave of research at the intersection of graph theory and deep learning has also influenced other fields of science, including recommendation systems, computer vision, natural language processing (NLP), inductive logic programming, program synthesis, software mining, automated planning, cybersecurity, and intelligent transportation. This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history, current developments, and future directions of GNNs. The second part presents and reviews fundamental methods and theories concerning GNNs while the third part describes various frontiers that are built on the GNNs. The book concludes with an overview of recent developments in a number of applications using GNNs.

Название: Techniques for Searching, Parsing, and Matching
Автор: Alberto Pettorossi
Издательство: Springer
Год: 2022
Страниц: 314
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

In this book the author presents some techniques for exploring trees and graphs. He illustrates the linear search technique and the backtracking technique, and as instances of tree exploration methods he presents various algorithms for parsing subclasses of context-free languages. He also illustrates some tree and graph exploration and manipulation methods by presenting, among others, algorithms for visiting trees, evaluating Boolean expressions, proving propositional formulas, computing paths in graphs, and performing string matching. This book has been used for advanced undergraduate and graduate courses on automata and formal languages, and assumes some prior exposure to the basic notions in that area. Sample programs are presented in Java and Prolog.

Название: SAP Enterprise Portfolio and Project Management: A Guide to Implement, Integrate, and Deploy EPPM Solutions
Автор: Joseph Alexander Soosaimuthu
Издательство: Apress
Год: 2022
Страниц: 381
Язык: английский
Формат: pdf (true), epub
Размер: 35.0 MB

Learn the fundamentals of SAP Enterprise Project and Portfolio management Project Systems (PS), Portfolio and Project Management (PPM) and Commercial Project Management (CPM) and their integration with other SAP modules. SAP Portfolio and Project Management addresses commonly asked questions regarding SAP EPPM implementation and deployment, and conveys a framework to facilitate engagement and discussion with key stakeholders. This provides coverage of SAP on-premise solutions with ECC 6.08 and SAP PPM 6.1 deployed on the same client, as well as S/4 HANA On-Premise 2020 with integration to BPC and BI/W systems. Interface with other third-party schedule management, estimation, costing and forecasting applications are also covered in this book.

Название: Modern Data Science with R, 2nd Edition
Автор: Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton
Издательство: CRC Press
Год: 2021
Страниц: 650
Язык: английский
Формат: pdf (true)
Размер: 83.4 MB

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.

Название: Искусство WebAssembly
Автор: Баттальини Р.
Издательство: ДМК Пресс
Год: 2021
Страниц: 312
Язык: русский
Формат: pdf
Размер: 11.4 MB

WebAssembly – это быстрая компактная межплатформенная технология, которая оптимизирует производительность ресурсоемких веб-приложений и программ. В книге подробно рассматриваются принципы ее работы; показано, в каких случаях можно ее использовать, а в каких делать этого не стоит, и как создавать и развертывать приложения на основе WebAssembly. Вначале вы узнаете, как оптимизировать и компилировать низкоуровневый код, отлаживать и оценивать WebAssembly, а также представлять код в удобном для прочтения текстовом формате WebAssembly Text (WAT). Затем вы сможете создать программу обнаружения столкновений на базе браузера, поработать с технологиями рендеринга в браузере для создания графики и анимации, а также выяснить, как Web-Assembly взаимодействует с другими языками программирования. Эта книга поможет вам разобраться в основах мощной технологии WebAssembly и повысить производительность ваших веб-приложений.

Название: Building Applications with Azure Resource Manager (ARM): Leverage IaC to Vastly Improve the Life Cycle of Your Applications
Автор: David Rendon
Издательство: Apress
Год: 2022
Страниц: 417
Язык: английский
Формат: pdf (true)
Размер: 19.8 MB

Learn how to leverage infrastructure as code with Azure Resource Manager (ARM) and the best practices to build, test, debug, and deploy your applications in Microsoft Azure using ARM templates and the new domain-specific language Bicep. As organizations consider moving partially or fully to the cloud, infrastructure as code (IaC) has become a key component to improving time to market for their applications. However, it is critical that enterprise infrastructure professionals use the right resources and strategies to build the infrastructure required to run applications in the cloud. Azure cloud-native components and capabilities automate the build and deployment process, offering a myriad of compelling reasons to leverage IaC to build your applications in Azure.

Название: Design and Deploy Microsoft Azure Virtual Desktop: An Essential Guide for Architects and Administrators
Автор: Puthiyavan Udayakumar
Издательство: Apress
Год: 2022
Страниц: 401
Язык: английский
Формат: pdf (true), epub
Размер: 11.9 MB

Design and build the new desktop service from Microsoft. This book offers a modern framework, design methodology, and best practices of design and deployment for virtual apps and desktops. Microsoft Azure Virtual Desktop (AVD) is a Desktop as a Service (DaaS) which is simple to deploy, accessible from any device, easy to manage, and secure. The book starts with AVD essentials and its critical features, followed by the planning and method of preparing for AVD. You will go through defining the requirements and assessing by setting the AVD application baseline, network requirements, and security requirements. Next, you will learn how to design and deploy the core infrastructure of Microsoft AVD to understand its Access Layer, Control Layer, Resource Layer, Hosting Layer, and User Layer. You will also learn how to design the desktop and Host Pool of AVD. And you will learn the modern way to manage and secure AVD components.

Название: Beginning Game Development with Godot: Learn to Create and Publish Your First 2D Platform Game
Автор: Maithili Dhule
Издательство: Apress
Год: 2022
Страниц: 372
Язык: английский
Формат: pdf (true)
Размер: 19.2 MB

Learn the fundamentals of Godot by diving headfirst into creating a 2D platformer from scratch. This book is a hands-on, practical guide to developing 2D games using the Godot Engine 3.2.3/3.3, with the help of GDScript. Author Maithili Dhule begins by explaining some basic tools and techniques used to make games, the factors that need to be considered while choosing a game engine, and pointing out the benefits of using Godot. She then walks you through downloading the engine and guides you as you explore key features of its interface. Next, you’ll receive a concise introduction to the basics of GDScript, the main scripting language used in Godot, before moving on to essential topics such as Godot’s node-scene architecture, the interaction of various physics bodies, the creation of game scenes, and writing scripts. As the book progresses, you’ll learn how to create and animate your game character, design the game world, add enemies, and implement a coin-collection system.

Название: Numerical Methods Using Java: For Data Science, Analysis, and Engineering
Автор: Haksun Li, PhD
Издательство: Apress
Год: 2022
Страниц: 1196
Язык: английский
Формат: pdf (true)
Размер: 27.8 MB

Implement numerical algorithms in Java using NM Dev, an object-oriented and high-performance programming library for mathematics.You’ll see how it can help you easily create a solution for your complex engineering problem by quickly putting together classes. Numerical Methods Using Java covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started.

Название: Managing AI in the Enterprise: Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations
Автор: Klaus Haller
Издательство: Apress
Год: 2022
Страниц: 223
Язык: английский
Формат: pdf (true), epub
Размер: 43.7 MB

Delivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or fail in establishing AI and integrating AI into their digital transformation. This book addresses both challenges by bringing together organizational and service design concepts, project management, and testing and quality assurance. It covers crucial, often-overlooked topics such as MLOps, IT risk, security and compliance, and AI ethics. In particular, the book shows how to shape AI projects and the capabilities of an AI line organization in an enterprise. It elaborates critical deliverables and milestones, helping you turn your vision into a corporate reality by efficiently managing and setting goals for data scientists, data engineers, and other IT specialists.