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Titre : Architecting AI Solutions on Salesforce Type de document : e-book Auteurs : Lars MALMQVIST Editeur : PACKT PUBLISHING Année de publication : 2021 ISBN/ISSN/EAN : 9781801076012 Note générale : copyrighted Langues : Anglais (eng) Résumé : Use Salesforce's out-of-the-box and advanced integration-based AI capabilities to architect modern enterprise solutions on sales, service, marketing, and commerce clouds to drive digital innovation for your clientsKey FeaturesGet up to speed with Salesforce's AI features and capabilities to meet ever-evolving client needsGet expert advice on key architectural decisions and trade-offs when designing AI-driven Salesforce solutionsIntegrate third-party AI services into applications that modernize your solutionsBook DescriptionThe ever-increasing need for designing state-of-the-art solutions using AI features requires a sound understanding of a vast array of AI capabilities that help you to architect modern solutions. Salesforce Einstein is a set of services that allows seamless implementation of advanced artificial intelligence (AI) features while retaining the ability to cater to custom requirements for the business.This book will help you understand the business and technical benefits of building AI solutions and components available in Salesforce. As you work through a case study of a fictional company beginning to adopt AI in its Salesforce ecosystem, you'll learn how to configure and extend the out-of-the-box features on various Salesforce clouds, their pros, cons, and limitations. You'll also discover how to extend these features using on- and off-platform choices and how to make the best architectural choices when designing custom solutions. Later, you'll advance to integrating third-party AI services such as the Google Translation API, Microsoft Cognitive Services, and Amazon SageMaker on top of your existing solutions. This Salesforce book concludes by taking you through key architectural decisions and trade-offs that may impact the design choices you make.By the end of this book, you'll be able to architect Salesforce AI solutions to meet various customer requirements confidently.What you will learnExplore the AI components available in Salesforce and the architectural model for Salesforce EinsteinExtend the out-of-the-box features using Einstein Services on major Salesforce cloudsUse Einstein declarative features to create your custom solutions with the right approachArchitect AI solutions on marketing, commerce, and industry cloudsUse Salesforce Einstein Platform Services APIs to create custom AI solutionsIntegrate third-party AI services such as Microsoft Cognitive Services and Amazon SageMaker into SalesforceWho this book is forThis book is for existing and aspiring technical and functional architects, technical decision-makers working on the Salesforce ecosystem, and those responsible for designing AI solutions in their Salesforce ecosystem. Lead and senior Salesforce developers who want to start their Salesforce architecture journey will also find this book helpful. Working knowledge of the Salesforce platform is necessary to get the most out of this book. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88919725 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=538082
Titre : Architecting Google Cloud Solutions Type de document : e-book Auteurs : Victor DANTAS Editeur : PACKT PUBLISHING Année de publication : 2021 ISBN/ISSN/EAN : 9781800563308 Note générale : copyrighted Langues : Anglais (eng) Résumé : Achieve your business goals and build highly available, scalable, and secure cloud infrastructure by designing robust and cost-effective solutions as a Google Cloud Architect.Key FeaturesGain hands-on experience in designing and managing high-performance cloud solutionsLeverage Google Cloud Platform to optimize technical and business processes using cutting-edge technologies and servicesUse Google Cloud Big Data, AI, and ML services to design scalable and intelligent data solutionsBook DescriptionGoogle has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs. You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance. By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform.What you will learnGet to grips with compute, storage, networking, data analytics, and pricingDiscover delivery models such as IaaS, PaaS, and SaaSExplore the underlying technologies and economics of cloud computingDesign for scalability, business continuity, observability, and resiliencySecure Google Cloud solutions and ensure complianceUnderstand operational best practices and learn how to architect a monitoring solutionGain insights into modern application design with Google CloudLeverage big data, machine learning, and AI with Google CloudWho this book is forThis book is for cloud architects who are responsible for designing and managing cloud solutions with GCP. You'll also find the book useful if you're a system engineer or enterprise architect looking to learn how to design solutions with Google Cloud. Moreover, cloud architects who already have experience with other cloud providers and are now beginning to work with Google Cloud will benefit from the book. Although an intermediate-level understanding of cloud computing and distributed apps is required, prior experience of working in the public and hybrid cloud domain is not mandatory. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88912834 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=534508
Titre : Architecting High-Performance Embedded Systems Type de document : e-book Auteurs : Jim LEDIN Editeur : PACKT PUBLISHING Année de publication : 2021 ISBN/ISSN/EAN : 9781789955965 Note générale : copyrighted Langues : Anglais (eng) Résumé : Explore the complete process of developing systems based on field-programmable gate arrays (FPGAs), including the design of electronic circuits and the construction and debugging of prototype embedded devicesKey FeaturesLearn the basics of embedded systems and real-time operating systemsUnderstand how FPGAs implement processing algorithms in hardwareDesign, construct, and debug custom digital systems from scratch using KiCadBook DescriptionModern digital devices used in homes, cars, and wearables contain highly sophisticated computing capabilities composed of embedded systems that generate, receive, and process digital data streams at rates up to multiple gigabits per second. This book will show you how to use Field Programmable Gate Arrays (FPGAs) and high-speed digital circuit design to create your own cutting-edge digital systems. Architecting High-Performance Embedded Systems takes you through the fundamental concepts of embedded systems, including real-time operation and the Internet of Things (IoT), and the architecture and capabilities of the latest generation of FPGAs. Using powerful free tools for FPGA design and electronic circuit design, you'll learn how to design, build, test, and debug high-performance FPGA-based IoT devices. The book will also help you get up to speed with embedded system design, circuit design, hardware construction, firmware development, and debugging to produce a high-performance embedded device – a network-based digital oscilloscope. You'll explore techniques such as designing four-layer printed circuit boards with high-speed differential signal pairs and assembling the board using surface-mount components. By the end of the book, you'll have a solid understanding of the concepts underlying embedded systems and FPGAs and will be able to design and construct your own sophisticated digital devices.What you will learnUnderstand the fundamentals of real-time embedded systems and sensorsDiscover the capabilities of FPGAs and how to use FPGA development toolsLearn the principles of digital circuit design and PCB layout with KiCadConstruct high-speed circuit board prototypes at low costDesign and develop high-performance algorithms for FPGAsDevelop robust, reliable, and efficient firmware in CThoroughly test and debug embedded device hardware and firmwareWho this book is forThis book is for software developers, IoT engineers, and anyone who wants to understand the process of developing high-performance embedded systems. You'll also find this book useful if you want to learn about the fundamentals of FPGA development and all aspects of firmware development in C and C++. Familiarity with the C language, digital circuits, and electronic soldering is necessary to get started. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88909412 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=529780
Titre : Artificial Intelligence for IoT Cookbook Type de document : e-book Auteurs : Michael ROSHAK Editeur : PACKT PUBLISHING Année de publication : 2021 ISBN/ISSN/EAN : 9781838981983 Note générale : copyrighted Langues : Anglais (eng) Résumé : Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT dataKey FeaturesDiscover quick solutions to common problems that you'll face while building smart IoT applicationsImplement advanced techniques such as computer vision, NLP, and embedded machine learningBuild, maintain, and deploy machine learning systems to extract key insights from IoT dataBook DescriptionArtificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users' lives easier. With this AI cookbook, you'll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You'll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you'll learn how to deploy models and improve their performance with ease. By the end of this book, you'll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems.What you will learnExplore various AI techniques to build smart IoT solutions from scratchUse machine learning and deep learning techniques to build smart voice recognition and facial detection systemsGain insights into IoT data using algorithms and implement them in projectsPerform anomaly detection for time series data and other types of IoT dataImplement embedded systems learning techniques for machine learning on small devicesApply pre-trained machine learning models to an edge deviceDeploy machine learning models to web apps and mobile using TensorFlow.js and JavaWho this book is forIf you're an IoT practitioner looking to incorporate AI techniques to build smart IoT solutions without having to trawl through a lot of AI theory, this AI IoT book is for you. Data scientists and AI developers who want to build IoT-focused AI solutions will also find this book useful. Knowledge of the Python programming language and basic IoT concepts is required to grasp the concepts covered in this artificial intelligence book more effectively. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88911317 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=533619
Titre : ASP.NET Core 5 and Angular Type de document : e-book Auteurs : Valerio De SANCTIS Editeur : PACKT PUBLISHING Année de publication : 2021 ISBN/ISSN/EAN : 9781800560338 Note générale : copyrighted Langues : Anglais (eng) Résumé : Build a simple, yet fully functional modern web application using .NET 5, Entity Framework Core, and Angular 11Key FeaturesComprehensively updated with the latest features and additions in ASP.NET Core 5 and Angular 11Design, build, and deploy a Single Page Application or Progressive Web App with ASP.NET Core and AngularAdopt a full stack approach to handle data management, Web APIs, application design, testing, SEO, security, and deploymentBook DescriptionLearning full-stack development calls for knowledge of both front-end and back-end web development. ASP.NET Core 5 and Angular, Fourth Edition will get you started with Angular to build robust web applications as well as the ASP.NET Core 5 and Web API Controllers to implement API calls and server-side routing in the back-end. This fully revised edition includes a side-by-side comparison of the Visual Studio Angular app versus NG App and coverage of the Angular routing module. You will learn how to build a data model with Entity Framework Core, alongside utilizing the Entity Core Fluent API and EntityTypeConfiguration class. As you progress, you will learn how to handle user input with Angular reactive forms and front-end and back-end validators for maximum effect. You will later explore the advanced debugging and unit testing features provided by xUnit.net (.NET 5) and Jasmine, as well as Karma for Angular. Further, you will dive deep into progressive web applications (PWAs), learning about their technical requirements, testing, and converting SWAs to PWAs. Finally, you will learn how to deploy apps on Windows, Linux, and Azure using IIS, Kestrel, and nginx. By the end of this book, you will be equipped with the skills you need to create, debug, and deploy efficient web applications using ASP.NET Core and Angular.What you will learnImplement a Web API interface with ASP.NET Core and consume it with Angular using RxJS ObservablesSet up a SQL database server using a local instance or a cloud data storePerform C# and TypeScript debugging using Visual Studio 2019Create TDD and BDD unit tests using xUnit, Jasmine, and KarmaExplore the EF Core Fluent API and EntityTypeConfiguration classesPerform DBMS structured logging using third-party providers such as SeriLogDeploy a Web application to Windows and Linux web servers, or to cloud-based PaaS solutions such as Azure App ServiceWho this book is forThis book is for experienced ASP.NET developers who already possess some experience with ASP.NET Core and Angular and are looking to learn how to use them together to create production-ready Single Page Applications (SPAs) or Progressive Web Applications (PWAs).However, the fully documented code samples (also available on GitHub) and the step-by-step implementation tutorials make this book easy-to-understand - even for beginners. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88909225 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=529084 PermalinkPermalinkPermalinkAugmented Reality with Unity AR Foundation : A practical guide to cross-platform AR development with Unity 2020 and later versions / Jonathan LINOWES / PACKT PUBLISHING (2021)
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PermalinkPermalinkAWS Certified DevOps Engineer - Professional Certification and Beyond / Adam BOOK / PACKT PUBLISHING (2021)
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