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| azure cognitive services for language: Practical Guide to Azure Cognitive Services Chris Seferlis, Christopher Nellis, Andy Roberts, 2023-05-12 Streamline your complex processes and optimize your organization's operational efficiency, cost-effectiveness, and customer experience by unlocking the potential of Microsoft Azure Cognitive Services and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Minimize costs and maximize operations by automating mundane activities using AI tools Ideate solutions using real-world examples for manufacturing process improvement with AI Master TCO and ROI analysis for implementing AI solutions, automating operations, and ideating innovative manufacturing solutions with real-world examples Book Description Azure Cognitive Services and OpenAI are a set of pre-built artificial intelligence (AI) solution APIs that can be leveraged from existing applications, allowing customers to take advantage of Microsoft's award-winning Vision, Speech, Text, Decision, and GPT-4 AI capabilities. With Practical Guide to Azure Cognitive Services, you'll work through industry-specific examples of implementations to get a head-start in your production journey. You'll begin with an overview of the categorization of Azure Cognitive Services and the benefits of embracing AI solutions for practical business applications. After that, you'll explore the benefits of using Azure Cognitive Services to optimize efficiency and improve predictive capabilities. Then, you'll learn how to leverage Vision capabilities for quality control, Form Recognizer to streamline supply chain nuances, language understanding to improve customer service, and Cognitive Search for next-generation knowledge-mining solutions. By the end of this book, you'll be able to implement various Cognitive Services solutions that will help you enhance efficiency, reduce costs, and improve the customer experience at your organization. You'll also be well equipped to automate mundane tasks by reaping the full potential of OpenAI. What you will learn Master cost-effective deployment of Azure Cognitive Services Develop proven solutions from an architecture and development standpoint Understand how Cognitive Services are deployed and customized Evaluate various uses of Cognitive Services with different mediums Disseminate Azure costs for Cognitive Services workloads smoothly Deploy next-generation Knowledge Mining solutions with Cognitive Search Explore the current and future journey of OpenAI Understand the value proposition of different AI projects Who this book is for This book is for data scientists, technology leaders, and software engineers looking to implement Azure Cognitive Services with the help of sample use cases derived from success stories. Experience with Python as well as an overall understanding of the Azure Portal with related services such as Azure Data Lake Storage and Azure Functions will help you make the most of this book. |
| azure cognitive services for language: Beginning Azure Cognitive Services Alicia Moniz, Matt Gordon, Ida Bergum, Mia Chang, Ginger Grant, 2021 Get started with Azure Cognitive Services and its APIs that expose machine learning as a service. This book introduces the suite of Azure Cognitive Services and helps you take advantage of the proven machine learning algorithms that have been developed by experts and made available through Cognitive Services, easily integrating those algorithms into your own applications without having to develop the algorithms from scratch. The book also shows you how to use the algorithms provided by Cognitive Services to accelerate data analysis and development within your organization. The authors begin by introducing the tools and describing the steps needed to invoke libraries to analyze structured and unstructured text, speech, and pictures, and you will learn to create interactive chatbots using the Cognitive Services libraries. Each chapter contains the information you need to implement artificial intelligence (AI) via Azure Cognitive Services in your personal and professional projects. The book also covers ethical considerations that are becoming increasingly of concern when using AI to drive decision making. You will be introduced to tools such as FairLearn and InterpretML that can help you detect bias and understand the results your models are generating. You will learn to: Invoke the Cognitive Services APIs from a variety of languages and apps Understand common design architectures for AI solutions in Azure Decrease discrimination and bias when creating an AI-driven solution Execute the examples within the book and learn how to extend those examples Implement best practices for leveraging the Vision, Speech, and Language parts of the suite Test Cognitive Services APIs via the Azure portal and using the Postman API tool Execute AI from low-code and no-code platforms like Logic Apps and Microsoft's Power Platform. |
| azure cognitive services for language: Hands-On Machine Learning with Azure Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak, 2018-10-31 Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies Key FeaturesLearn advanced concepts in Azure ML and the Cortana Intelligence Suite architectureExplore ML Server using SQL Server and HDInsight capabilitiesImplement various tools in Azure to build and deploy machine learning modelsBook Description Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way. The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft’s Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you’ll integrate patterns with other non-AI services in Azure. By the end of this book, you will be fully equipped to implement smart cognitive actions in your models. What you will learnDiscover the benefits of leveraging the cloud for ML and AIUse Cognitive Services APIs to build intelligent botsBuild a model using canned algorithms from Microsoft and deploy it as a web serviceDeploy virtual machines in AI development scenariosApply R, Python, SQL Server, and Spark in AzureBuild and deploy deep learning solutions with CNTK, MMLSpark, and TensorFlowImplement model retraining in IoT, Streaming, and Blockchain solutionsExplore best practices for integrating ML and AI functions with ADLA and logic appsWho this book is for If you are a data scientist or developer familiar with Azure ML and cognitive services and want to create smart models and make sense of data in the cloud, this book is for you. You’ll also find this book useful if you want to bring powerful machine learning services into your cloud applications. Some experience with data manipulation and processing, using languages like SQL, Python, and R, will aid in understanding the concepts covered in this book |
| azure cognitive services for language: Microsoft Azure AI: A Beginner’s Guide Rekha Kodali, Sankara Narayanan Govindarajulu, Mohammed Athaulla, 2022-04-21 Explore Azure AI Platform KEY FEATURES ● Easy-to-follow tutorial for getting started with the Azure AI platform. ● Integrated platform for developing, deploying, and managing AI apps. ● Includes real-world scenarios and use-cases to fully explore Azure AI Platform. DESCRIPTION Microsoft Azure AI A Beginner's Guide explains the fundamentals of Azure AI and some more advanced topics. The sole objective of the book is to provide hands-on experience working with the various services, APIs, and tools available in the Azure AI Platform. This book begins by discussing the fundamentals of the Azure AI platform and the essential principles behind the Azure AI ecosystem and services. Readers will become familiar with the essential services, use cases, and examples provided by Azure AI Platform and Services, including Azure Cognitive Services, Azure Computer Vision, Azure Applied AI Services, and Azure Machine Learning. The author focuses on teaching how to utilize Azure Cognitive services to construct intelligent apps, including Image Processing, Object Detection, Text Recognition, OCR, Spatial Analysis, and Face Recognition using Computer Vision. Readers can investigate Azure Applied AI Services, including Form Recognizer, Metrics Advisor, Cognitive Search, Immersive Reader, Video Analyzer, and Azure Bot Service. Bot Framework and the Bot Framework Emulator will be explored in further detail, and how they can be used in AI applications to improve their conversational user interfaces. With Azure Machine Learning Studio, you will also learn to incorporate machine learning into your enterprise-level applications. WHAT YOU WILL LEARN ● Get familiar with Azure AI Platform and the cognitive capabilities of Azure. ● Learn to create apps that can process photos, detect faces, and detect objects. ● Utilize OCR, handwriting recognition, and spatial analysis in your development. ● Learn about Azure AI services like Form Recognizer, Metrics Advisor, Cognitive Search, Azure Immersive Reader, and Video Analyzer. ● Try out several NLP applications with the Azure BOT framework. WHO THIS BOOK IS FOR This book teaches AI developers, machine learning engineers, .NET developers, and architects how to swiftly develop intelligent applications utilizing the Azure AI Platform. Knowledge of.NET or.NET Core is strongly advised to get the most out of the book. TABLE OF CONTENTS 1 .Azure AI Platform and Services 2. Azure Computer Vision - Image Analysis, Processing, Content Moderation, Object and Face Detection 3. Computer Vision - Text Recognition, Optical Character Recognition, Spatial Analysis 4. Azure Cognitive Services - Custom Applications leveraging Decision, Language, Speech, Web Search 5. Azure Applied AI Services 6. Azure Applied AI Services -BOTs– A Brief Introduction 7. Machine Learning-Infusing ML in Custom Applications using ML.NET 8. Machine Learning - Using Azure ML Studio |
| azure cognitive services for language: Microsoft Azure Essentials Azure Machine Learning Jeff Barnes, 2015-04-25 Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series. |
| azure cognitive services for language: Azure AI Services at Scale for Cloud, Mobile, and Edge Simon Bisson, Mary Branscombe, Chris Hoder, Anand Raman, 2022-04-11 Take advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. This book shows you how cloud AI services fit in alongside familiar software development approaches, walks you through key Microsoft AI services, and provides real-world examples of AI-oriented architectures that integrate different Azure AI services. All you need to get started is a working knowledge of basic cloud concepts. Become familiar with Azure AI offerings and capabilities Build intelligent applications using Azure Cognitive Services Train, tune, and deploy models with Azure Machine Learning, PyTorch, and the Open Neural Network Exchange (ONNX) Learn to solve business problems using AI in the Power Platform Use transfer learning to train vision, speech, and language models in minutes |
| azure cognitive services for language: Azure Cookbook Reza Salehi, 2022-10-10 How do you deal with the problems you face when using Azure? This practical guide provides over 75 recipes to help you to work with common Azure issues in everyday scenarios. That includes key tasks like setting up permissions for a storage account, working with Cosmos DB APIs, managing Azure role-based access control, governing your Azure subscriptions using Azure Policy, and much more. Author Reza Salehi has assembled real-world recipes that enable you to grasp key Azure services and concepts quickly. Each recipe includes CLI scripts that you can execute in your own Azure account. Recipes also explain the approach and provide meaningful context. The solutions in this cookbook will take you beyond theory and help you understand Azure services in practice. You'll find recipes that let you: Store data in an Azure storage account or in a data lake Work with relational and nonrelational databases in Azure Manage role-based access control (RBAC) for Azure resources Safeguard secrets in Azure Key Vault Govern your Azure subscription using Azure Policy Use CLI code to construct your application or fix a particular problem |
| azure cognitive services for language: Azure for Architects Ritesh Modi, Jack Lee, Rithin Skaria, 2020-07-17 Build and design multiple types of applications that are cross-language, platform, and cost-effective by understanding core Azure principles and foundational concepts Key FeaturesGet familiar with the different design patterns available in Microsoft AzureDevelop Azure cloud architecture and a pipeline management systemGet to know the security best practices for your Azure deploymentBook Description Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions. What you will learnUnderstand the components of the Azure cloud platformUse cloud design patternsUse enterprise security guidelines for your Azure deploymentDesign and implement serverless and integration solutionsBuild efficient data solutions on AzureUnderstand container services on AzureWho this book is for If you are a cloud architect, DevOps engineer, or a developer looking to learn about the key architectural aspects of the Azure cloud platform, this book is for you. A basic understanding of the Azure cloud platform will help you grasp the concepts covered in this book more effectively. |
| azure cognitive services for language: Cloud Data Architectures Demystified Ashok Boddeda, 2023-09-27 Learn using Cloud data technologies for improving data analytics and decision-making capabilities for your organization KEY FEATURES ● Get familiar with the fundamentals of data architecture and Cloud computing. ● Design and deploy enterprise data architectures on the Cloud. ● Learn how to leverage AI/ML to gain insights from data. DESCRIPTION Cloud data architectures are a valuable tool for organizations that want to use data to make better decisions. By understanding the different components of Cloud data architectures and the benefits they offer, organizations can select the right architecture for their needs. This book is a holistic guide for using Cloud data technologies to ingest, transform, and analyze data. It covers the entire data lifecycle, from collecting data to transforming it into actionable insights. The readers will get a comprehensive overview of Cloud data technologies and AI/ML algorithms. The readers will learn how to use these technologies and algorithms to improve decision-making, optimize operations, and identify new opportunities. By the end of the book, you will have a comprehensive understanding of loud data architectures and the confidence to implement effective solutions that drive business success. WHAT YOU WILL LEARN ● Learn the fundamental principles of data architecture. ● Understand the working of different cloud ecosystems such as AWS, Azure & GCP. ● Explore different Snowflake data services. ● Learn how to implement data governance policies and procedures. ● Use artificial intelligence (AI) and machine learning (ML) to gain insights from data. WHO THIS BOOK IS FOR This book is for executives, IT professionals, and data enthusiasts who want to learn more about Cloud data architectures. It does not require any prior experience, but a basic understanding of data concepts and technology landscapes will be helpful. TABLE OF CONTENTS 1. Data Architectures and Patterns 2. Enterprise Data Architectures 3. Cloud Fundamentals 4. Azure Data Eco-system 5. AWS Data Services 6. Google Data Services 7. Snowflake Data Eco-system 8. Data Governance 9. Data Intelligence: AI-ML Modeling and Services |
| azure cognitive services for language: Learn Azure in a Month of Lunches, Second Edition Iain Foulds, 2020-10-06 Learn Azure in a Month of Lunches, Second Edition, is a tutorial on writing, deploying, and running applications in Azure. In it, you’ll work through 21 short lessons that give you real-world experience. Each lesson includes a hands-on lab so you can try out and lock in your new skills. Summary You can be incredibly productive with Azure without mastering every feature, function, and service. Learn Azure in a Month of Lunches, Second Edition gets you up and running quickly, teaching you the most important concepts and tasks in 21 practical bite-sized lessons. As you explore the examples, exercises, and labs, you'll pick up valuable skills immediately and take your first steps to Azure mastery! This fully revised new edition covers core changes to the Azure UI, new Azure features, Azure containers, and the upgraded Azure Kubernetes Service. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Microsoft Azure is vast and powerful, offering virtual servers, application templates, and prebuilt services for everything from data storage to AI. To navigate it all, you need a trustworthy guide. In this book, Microsoft engineer and Azure trainer Iain Foulds focuses on core skills for creating cloud-based applications. About the book Learn Azure in a Month of Lunches, Second Edition, is a tutorial on writing, deploying, and running applications in Azure. In it, you’ll work through 21 short lessons that give you real-world experience. Each lesson includes a hands-on lab so you can try out and lock in your new skills. What's inside Understanding Azure beyond point-and-click Securing applications and data Automating your environment Azure services for machine learning, containers, and more About the reader This book is for readers who can write and deploy simple web or client/server applications. About the author Iain Foulds is an engineer and senior content developer with Microsoft. Table of Contents PART 1 - AZURE CORE SERVICES 1 Before you begin 2 Creating a virtual machine 3 Azure Web Apps 4 Introduction to Azure Storage 5 Azure Networking basics PART 2 - HIGH AVAILABILITY AND SCALE 6 Azure Resource Manager 7 High availability and redundancy 8 Load-balancing applications 9 Applications that scale 10 Global databases with Cosmos DB 11 Managing network traffic and routing 12 Monitoring and troubleshooting PART 3 - SECURE BY DEFAULT 13 Backup, recovery, and replication 14 Data encryption 15 Securing information with Azure Key Vault 16 Azure Security Center and updates PART 4 - THE COOL STUFF 17 Machine learning and artificial intelligence 18 Azure Automation 19 Azure containers 20 Azure and the Internet of Things 21 Serverless computing |
| azure cognitive services for language: Dynamics 365 Application Development Deepesh Somani, Nishant Rana, 2018-01-30 Learn, develop, and design applications using the new features in Microsoft Dynamics CRM Key Features Implement business logic using processes, plugins, and client-side scripts with MS Dynamics 365 Develop custom CRM solutions to improve your business applications A comprehensive guide that covers the new features of Microsoft Dynamics 365 and increasingly advanced topics. Book Description Microsoft Dynamics 365 CRM is the most trusted name in enterprise-level customer relationship management. Thelatest version of Dynamics CRM comes with the important addition of exciting features guaranteed to make your life easier. It comes straight off the shelf with a whole new frontier of updated business rules, process enhancements, SDK methods, and other enhancements. This book will introduce you to the components of the new designer tools, such as SiteMap, App Module, and Visual Designer for Business Processes. Going deeper, this book teaches you how to develop custom SaaS applications leveraging the features of PowerApps available in Dynamics 365.Further, you will learn how to automate business processes using Microsoft Flow, and then we explore Web API, the most important platform update in Dynamics 365 CRM. Here, you'll also learn how to implement Web API in custom applications. You will learn how to write an Azure-aware plugin to design and integrate cloud-aware solutions. The book concludes with configuring services using newly released features such as Editable grids, Data Export Service, LinkedIn Integration, Relationship Insights, and Live Assist. What you will learn Develop apps using the platform-agnostic Web API Leverage Azure Extensions to design cloud-aware applications Learn how to implement CRUD operation Create integrated real-world apps using Microsoft PowerApps and Flow by combining services such as Twitter, Facebook, and SharePoint Configure and use Artificial Intelligence Azure Cognitive Services for Recommendation and Text Analytic services Who this book is for This book targets skilled developers who are looking to build business-solution software and are new to application development in Microsoft Dynamics 365, especially for CRM. |
| azure cognitive services for language: Data-Centric Business and Applications Aneta Poniszewska-Marańda, Natalia Kryvinska, Stanisław Jarząbek, Lech Madeyski, 2019-12-14 This book explores various aspects of software creation and development as well as data and information processing. It covers relevant topics such as business analysis, business rules, requirements engineering, software development processes, software defect prediction, information management systems, and knowledge management solutions. Lastly, the book presents lessons learned in information and data management processes and procedures. |
| azure cognitive services for language: Microsoft Certified: AI-900: Microsoft Azure AI Fundamentals Cybellium, 2024-09-01 Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| azure cognitive services for language: Building Cloud Data Platforms Solutions Anouar BEN ZAHRA, Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects. |
| azure cognitive services for language: Proceedings of the 2nd International Conference on Signal and Data Processing K. P. Ray, Arati Dixit, Debashis Adhikari, Ribu Mathew, 2023-06-27 This volume comprises the select proceedings of the 2nd International Conference on Signal & Data Processing (ICSDP) 2022. The contents focus on the latest research and developments in the field of artificial intelligence & machine learning, Internet of things (IoT), cybernetics, advanced communication systems, VLSI embedded systems, power electronics and automation, MEMS/ nanotechnology, renewable energy, bioinformatics, data acquisition and mining, antenna & RF systems, power systems, biomedical engineering, aerospace & navigation. This volume will prove to be a valuable resource for those in academia and industry. |
| azure cognitive services for language: Learn WinUI 3.0 Alvin Ashcraft, 2021-03-26 A beginner's guide to building Windows applications with WinUI for UWP and desktop applications Key FeaturesCreate modern Windows 10 applications and gain access to UI controls that were previously limited to UWP applicationsDiscover how to modernize your existing Win32 apps with a modern Windows 10 UILearn to embed a single page application (SPA) in a WinUI application with a web framework like BlazorBook Description WinUI 3.0 takes a whole new approach to delivering Windows UI components and controls, and is able to deliver the same features on more than one version of Windows 10. Learn WinUI 3.0 is a comprehensive introduction to WinUI and Windows apps for anyone who is new to WinUI, Universal Windows Platform (UWP), and XAML applications. The book begins by helping you get to grips with the latest features in WinUI and shows you how XAML is used in UI development. You'll then set up a new Visual Studio environment and learn how to create a new UWP project. Next, you'll find out how to incorporate the Model-View-ViewModel (MVVM) pattern in a WinUI project and develop unit tests for ViewModel commands. Moving on, you'll cover the Windows Template Studio (WTS) new project wizard and WinUI libraries in a step-by-step way. As you advance, you'll discover how to leverage the Fluent Design system to create beautiful WinUI applications. You'll also explore the contents and capabilities of the Windows Community Toolkit and learn to create a new UWP user control. Toward the end, the book will teach you how to build, debug, unit test, deploy, and monitor apps in production. By the end of this book, you'll have learned how to build WinUI applications from scratch and modernize existing WPF and WinForms applications using WinUI controls. What you will learnGet up and running with WinUI and discover how it fits into the landscape of Project Reunion and Windows UI developmentBuild new Windows apps quickly with robust templatesDevelop testable and maintainable apps using the MVVM patternModernize WPF and WinForms applications with WinUI and XAML IslandsDiscover how to build apps that can target Windows and leverage the power of the webInstall the XAML Controls Gallery sample app and explore available WinUI controlsWho this book is for This book is for anyone who wants to develop Windows applications with a modern user experience (UX). If you are familiar with UWP and WPF and are looking to enhance your knowledge of Windows development and modernize existing apps, you will find this book useful. Hands-on experience with C# and .NET is expected but no prior knowledge of WinUI is required. |
| azure cognitive services for language: Demystifying AI: A Comprehensive Guide to Microsoft Certified Azure AI Fundamentals Mark Duncan, Unlocking Azure AI is a comprehensive guide that provides readers with a deep dive into the world of artificial intelligence (AI) on the Microsoft Azure platform. This book serves as a roadmap for individuals looking to explore, understand, and leverage the full potential of Azure AI services to solve real-world problems and drive innovation. With the exponential growth of AI technologies and their increasing integration into various industries and applications, there is a growing demand for professionals who possess the knowledge and skills to develop, deploy, and manage AI solutions on cloud platforms like Azure. Unlocking Azure AI addresses this need by offering a structured and accessible approach to learning Azure AI concepts and services. The book begins by introducing readers to the fundamentals of AI, providing a foundational understanding of key concepts such as machine learning, natural language processing, computer vision, and conversational AI. Readers will learn how AI is transforming industries and reshaping the way businesses operate and interact with customers. As readers progress through the book, they will explore the rich ecosystem of Azure AI services offered by Microsoft, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services. Each chapter delves into a specific aspect of Azure AI, covering topics such as: Understanding the capabilities and use cases of Azure Cognitive Services, including vision, speech, language, and decision services. Building and training machine learning models using Azure Machine Learning, from data preparation and model development to deployment and management. Developing intelligent chatbots and virtual agents using Azure Bot Services to automate customer support and enhance user experiences. The book provides practical guidance, hands-on examples, and real-world case studies to illustrate how Azure AI services can be applied to solve common business challenges across various industries. Readers will learn how to leverage Azure AI to enhance productivity, drive innovation, and gain competitive advantage in today's digital economy. In addition to technical content, Unlocking Azure AI also addresses ethical considerations and implications in AI development and deployment, helping readers understand the importance of responsible AI practices and ensuring fairness, transparency, and accountability in AI systems. Whether you're a developer, data scientist, IT professional, or business leader, Unlocking Azure AI is your go-to resource for mastering Azure AI and unlocking the full potential of artificial intelligence on the Microsoft Azure platform. With its comprehensive coverage, practical insights, and actionable advice, this book empowers readers to embark on their Azure AI journey with confidence and competence. |
| azure cognitive services for language: The Self-Taught Cloud Computing Engineer Dr. Logan Song, 2023-09-22 Transform into a cloud-savvy professional by mastering cloud technologies through hands-on projects and expert guidance, paving the way for a thriving cloud computing career Key Features Learn all about cloud computing at your own pace with this easy-to-follow guide Develop a well-rounded skill set, encompassing fundamentals, data, machine learning, and security Work on real-world industrial projects and business use cases, and chart a path for your personal cloud career advancement Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Self-Taught Cloud Computing Engineer is a comprehensive guide to mastering cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. Even if you’re a beginner with a basic understanding of computer hardware and software, this book serves as the means to transition into a cloud computing career. Starting with the Amazon cloud, you’ll explore the fundamental AWS cloud services, then progress to advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure Cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds while distinguishing their unique features. You’ll further enhance your skills through practical experience on these platforms with real-life cloud project implementations. Finally, you’ll find expert guidance on cloud certifications and career development. By the end of this cloud computing book, you’ll have become a cloud-savvy professional well-versed in AWS, Azure, and GCP, ready to pursue cloud certifications to validate your skills.What you will learn Develop the core skills needed to work with cloud computing platforms such as AWS, Azure, and GCP Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments Integrate cloud databases, big data, and machine learning services in multi-cloud environments Design and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the clouds Implement machine learning pipelines in a multi-cloud environment Secure cloud infrastructure ecosystems with advanced cloud security services Who this book is for Whether you're new to cloud computing or a seasoned professional looking to expand your expertise, this book is for anyone in the information technology domain who aspires to thrive in the realm of cloud computing. With this comprehensive roadmap, you’ll have the tools to build a successful cloud computing career. |
| azure cognitive services for language: Emerging Concepts in Technology-Enhanced Language Teaching and Learning Zou, Bin, Thomas, Michael, Barr, David, Jia, Wen, 2022-01-21 For years, language teachers have increasingly been using technologies of all kinds, from computers to smartphones, to help their students learn. Current trends in TELTL (technology-enhanced language teaching and learning), such as artificial intelligence, virtual reality, augmented reality, gamification, and social networking, appear to represent major shifts in the digital language learning landscape. However, various applications of technology to mediate language learning may be informed by reflecting not only on the present but perhaps more importantly on relevant insights from past research and practice. Emerging Concepts in Technology-Enhanced Language Teaching and Learning explores the recent development of the new technologies for language teaching and learning to gain insights into and synergy of the theories, pedagogies, technological design, and evaluation of TELTL environments for comprehending the trends and strategies of the new digital era as well as investigate the possibility of future TELTL research direction. The book includes trends shaped by contemporary issues such as the COVID-19 pandemic. Covering topics such as digital education tools, L2 learnings, and sentiment analysis, this book serves as an essential resource for researchers, language teachers, educational software developers, administrators, IT consultants, technologists, professors, pre-service teachers, academicians, and students. |
| azure cognitive services for language: Applied Machine Learning and AI for Engineers Jeff Prosise, 2022-11-10 While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company. Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There's no fluff and no scary equations—just a fast start for engineers and software developers, complete with hands-on examples. This book helps you: Learn what machine learning and deep learning are and what they can accomplish Understand how popular learning algorithms work and when to apply them Build machine learning models in Python with Scikit-Learn, and neural networks with Keras and TensorFlow Train and score regression models and binary and multiclass classification models Build facial recognition models and object detection models Build language models that respond to natural-language queries and translate text to other languages Use Cognitive Services to infuse AI into the apps that you write |
| azure cognitive services for language: Microsoft Azure Fundamentals Certification and Beyond Steve Miles, 2022-01-07 Gain in-depth knowledge of Azure fundamentals that will make it easy for you to achieve AZ-900 certification Key Features Get fundamental knowledge of cloud concepts and the Microsoft Azure platform Explore practical exercises to gain experience of working with the Microsoft Azure platform in the real world Prepare to achieve AZ-900 certification on the first go with the help of simplified examples covered in the book Book DescriptionThis is the digital and cloud era, and Microsoft Azure is one of the top cloud computing platforms. It’s now more important than ever to understand how the cloud functions and the different services that can be leveraged across the cloud. This book will give you a solid understanding of cloud concepts and Microsoft Azure, starting by taking you through cloud concepts in depth, then focusing on the core Azure architectural components, solutions, and management tools. Next, you will understand security concepts, defense-in-depth, and key security services such as Network Security Groups and Azure Firewall, as well as security operations tooling such as Azure Security Center and Azure Sentinel. As you progress, you will understand how identity, governance, privacy, and compliance are managed in Azure. Finally, you will get to grips with cost management, service-level agreements, and service life cycles. Throughout, the book features a number of hands-on exercises to support the concepts, services, and solutions discussed. This provides you with a glimpse of real-world scenarios, before finally concluding with practice questions for AZ-900 exam preparation. By the end of this Azure book, you will have a thorough understanding of cloud concepts and Azure fundamentals, enabling you to pass the AZ-900 certification exam easily.What you will learn Explore cloud computing with Azure cloud Gain an understanding of the core Azure architectural components Acquire knowledge of core services and management tools on Azure Get up and running with security concepts, security operations, and protection from threats Focus on identity, governance, privacy, and compliance features Understand Azure cost management, SLAs, and service life cycles Who this book is for This Azure fundamentals book is both for those with technical backgrounds and non-technical backgrounds who want to learn and explore the field of cloud computing, especially with Azure. This book will also help anyone who wants to develop a good foundation for achieving advanced Azure certifications. There is no prerequisite for this book except a willingness to learn and explore cloud concepts and Microsoft Azure. |
| azure cognitive services for language: Microsoft SharePoint Premium in the Real World Jacob J. Sanford, Woodrow W. Windischman, Dustin Willard, Ryan Dennis, 2024-03-18 Skillfully deploy Microsoft SharePoint Premium to automate your organization’s document processing and management In Microsoft SharePoint Premium in the Real World: Bringing Practical Cloud AI to Content Management, a team of veteran Microsoft AI consultants delivers an insightful and easy-to-follow exploration of how to apply Syntex’ content AI and advanced machine learning capabilities to your firm’s document processing automation project. Using a simple, low-code/no-code approach, the authors explain how you can find, organize, and classify the documents in your SharePoint libraries. You’ll learn to use Microsoft SharePoint Premium to automate forms processing, document understanding, image processing, content assembly, and metadata search. Readers will also find: Strategies for using both custom and pre-built, “off-the-rack” models to build your solutions The information you need to understand the Azure Cognitive Services ecosystem more fully and how you can use it to build custom tools for your organization Examples of solutions that will allow you to avoid the manual processing of thousands of your own documents and files An essential and hands-on resource for information managers, Microsoft SharePoint Premium in the Real World is a powerful tool for developers and non-developers alike. |
| azure cognitive services for language: Enterprise Information Systems Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi, 2023-08-28 This book constitutes the refereed post-conference proceedings of the 24th International Conference on Enterprise Information Systems, ICEIS 2022, This conference was held virtually due to the COVID-19 crisis, during April 25-27, 2022. The 20 full papers included in this book were carefully reviewed and selected from 197 submissions. They were organized in topical sections as follows: Databases and Information Systems Integration; Artificial Intelligence and Decision Support Systems; Information Systems Analysis and Specification; Human-Computer Interaction; and Enterprise Architecture. |
| azure cognitive services for language: SharePoint Architect's Planning Guide Patrick Tucker, 2022-08-30 A practical handbook with proven recommendations and design considerations for creating elegant SharePoint solutions and integrating with other collaboration tools to build value for your organization Key Features Learn how to structure sites, pages, and data with effective metadata Understand the modernization of SharePoint over time and discover ways to leverage its out-of-the-box features Fit all the pieces together across cloud tools like Teams, OneDrive, Planner, and Forms Book DescriptionAfter opening a toolbox full of tools, it can initially be hard to know which is the right one for the job – which tool works best and when. Showing you how to create an informed and purposeful plan for SharePoint Online in the context of the Microsoft 365 suite of tools is what this book is all about. SharePoint Architect's Planning Guide will help you understand all you can do with SharePoint. Whether the tools are new to you or you’ve used the older versions in the past, your journey will start by learning about the building blocks. This book is not a step-by-step guide; there are tons of online resources to give you that and to help you better keep up with the pace of change. This book is a planning guide, helping you with the context, capabilities, and considerations for implementing SharePoint Online in the most successful way possible. Whether you need to plan a new intranet, migrate files to a modern platform, or take advantage of tools such as Power Platform, Teams, and Planner, this guide will help you get to grips with the technology, ask the right questions to build your plan, and successfully implement it from the technical and user adoption perspectives. By the end of this Microsoft book, you’ll be able to perceive the toolbox as a whole and efficiently prepare a planning and governance document for use in your organization.What you will learn Find out how to build or migrate to an effective modern intranet Explore how SharePoint works with other Microsoft 365 tools Discover best practices for extending SharePoint Understand the ways to implement effective metadata Plan for successful adoption and change management Explore best practices for site and data architecture Who this book is forThis book is for any IT professional looking for an all-encompassing view of the collaboration tools in Microsoft 365 to plan for successful SharePoint adoption. This book will benefit long-time SharePoint on-premises administrators making a leap to the cloud, as well as IT architects with experience in other areas who’ve never worked with SharePoint. |
| azure cognitive services for language: Proceedings of International Conference on Computational Intelligence Ritu Tiwari, Mario F. Pavone, Mukesh Saraswat, 2023-07-12 The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2022) held at Indian Institute of Information Technology Pune, India during 29 – 30 December, 2022. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing. |
| azure cognitive services for language: AI Unleashed: Harnessing Artificial Intelligence to Start and Grow Your Business Cassandra Fenyk, 2023-05-15 AI Unleashed: Harnessing Artificial Intelligence to Start and Grow Your Business is a comprehensive guide that takes entrepreneurs on a transformative journey into the world of AI. From understanding the potential of AI to implementing it strategically in various aspects of business, this book provides invaluable insights and practical strategies for leveraging AI to achieve success. In this nine-chapter book, readers will explore the fascinating intersection of AI and entrepreneurship. Beginning with an introduction to AI in business, the book dispels common misconceptions and showcases real-world examples of organizations that have harnessed AI to revolutionize their operations. Readers will learn how to identify opportunities for AI integration within their business models and conduct market research to stay ahead of emerging trends. Practical guidance is provided for setting up the necessary infrastructure and acquiring the hardware and software resources to embark on the AI journey. The book delves into the intricacies of building and training AI models, offering readers a solid foundation in understanding different AI models and their applications. Step-by-step instructions are provided for collecting and preparing data for training, and popular AI frameworks and platforms are explored. This book may contain affiliate links. Using these links does not impact the amount that you are charged, but it does allow me to continue to create and offer amazing content and programs. Thank you for your support. With a focus on practical implementation, the book guides entrepreneurs through the process of integrating AI solutions into existing business processes. It covers topics such as enhancing customer experience through AI-powered chatbots and personalization, optimizing operations through automation and predictive analytics, and leveraging AI in marketing and sales for customer segmentation, pricing optimization, and more. As AI continues to evolve, ethical considerations are paramount. The book addresses these concerns, emphasizing the importance of transparency, accountability, and ethical decision-making in AI applications. It also highlights emerging trends and future possibilities, encouraging entrepreneurs to stay informed and adaptable. AI Unleashed is a must-read for business owners, managers, and aspiring entrepreneurs who are eager to leverage AI's transformative power. With its practical approach, real-world examples, and expert guidance, this book equips readers with the knowledge and tools to unlock the potential of AI and drive sustainable growth in their businesses. Embrace the AI revolution and propel your business forward with AI Unleashe |
| azure cognitive services for language: Big Data Analytics Ümit Demirbaga, |
| azure cognitive services for language: Machine Learning in the Cloud: Comparing Google Cloud, AWS, and Azure APIs Peter Jones, 2024-10-13 Unlock the full potential of machine learning with Machine Learning in the Cloud: Comparing Google Cloud, AWS, and Azure APIs. This essential guide meticulously navigates through the intricate world of cloud-based ML APIs across the leading platforms—Google Cloud, AWS, and Azure. Whether you're a software developer, data scientist, IT professional, or business strategist, this book equips you with the knowledge to make informed decisions about implementing and managing these powerful tools in your projects. Dive deep into a comprehensive analysis and comparison of text processing, image recognition, speech recognition, and custom model building services offered by these giants. Understand the ins and outs of setting up, configuring, and optimizing these APIs for performance and scalability. Explore chapters dedicated to security, compliance, and real-life success stories that demonstrate the transformative impact of cloud-based ML across various industries. With practical guides, strategic insights, and current industry standards, this book is your roadmap to mastering cloud machine learning APIs, paving the way for innovative solutions that enhance competitiveness and efficiency. Embrace the future of artificial intelligence with this expertly crafted resource at your fingertips. |
| azure cognitive services for language: Collect, Combine, and Transform Data Using Power Query in Excel and Power BI Gil Raviv, 2018-10-08 Using Power Query, you can import, reshape, and cleanse any data from a simple interface, so you can mine that data for all of its hidden insights. Power Query is embedded in Excel, Power BI, and other Microsoft products, and leading Power Query expert Gil Raviv will help you make the most of it. Discover how to eliminate time-consuming manual data preparation, solve common problems, avoid pitfalls, and more. Then, walk through several complete analytics challenges, and integrate all your skills in a realistic chapter-length final project. By the time you’re finished, you’ll be ready to wrangle any data–and transform it into actionable knowledge. Prepare and analyze your data the easy way, with Power Query · Quickly prepare data for analysis with Power Query in Excel (also known as Get & Transform) and in Power BI · Solve common data preparation problems with a few mouse clicks and simple formula edits · Combine data from multiple sources, multiple queries, and mismatched tables · Master basic and advanced techniques for unpivoting tables · Customize transformations and build flexible data mashups with the M formula language · Address collaboration challenges with Power Query · Gain crucial insights into text feeds · Streamline complex social network analytics so you can do it yourself For all information workers, analysts, and any Excel user who wants to solve their own business intelligence problems. |
| azure cognitive services for language: Artificial Intelligence and Knowledge Processing Hemachandran K, Raul V. Rodriguez, Umashankar Subramaniam, Valentina Emilia Balas, 2023-09-06 Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book. This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning. |
| azure cognitive services for language: Developing Cognitive Bots Using the IBM Watson Engine Navin Sabharwal, Sudipta Barua, Neha Anand, Pallavi Aggarwal, 2019-12-14 Cognitive Virtual Bots are taking the technology and user experience world by storm. This book provides clear guidance on how different cognitive platforms can be used to develop Cognitive Virtual Assistants that enable a conversation by using DialogFlow and advanced Natural Language Processing. You will start by understanding the technology landscape and various use cases that Cognitive Virtual Assistants can be used in. Early chapters will take you through the basics of Cognitive Virtual Assistants, before moving onto advanced concepts and hands on examples of using IBM Watson Assistant and its advanced configurations with Watson Discovery Services, Watson Knowledge Studio and Spellchecker Service. You'll then examine integrations that enrich the Cognitive Virtual Assistant by providing data around weather, locations, stock markets. The book concludes by providing a glimpse of what to expect in the future for Cognitive Virtual Assistants. What You'll Learn Review the fundamentals of Cognitive Virtual Assistants.Develop a Cognitive Virtual Assistant from scratch using IBM Watson platform.Integrate and enrich your Virtual Agent with other services such as weather, location and stocks.Instantly deliver your bot on major messaging channels such as Skype, SMS, and WebchatTrain your Cognitive Virtual Agent on specific use cases.Who This Book Is ForAI and machine learning engineers, cognitive solutions architects and developers would find the book extremely useful |
| azure cognitive services for language: Microsoft Certified Exam guide - Azure AI Engineer Associate (AI-102) Cybellium Ltd, Become the Azure AI Expert of Tomorrow! Are you ready to embark on a journey into the world of artificial intelligence and machine learning within the Microsoft Azure ecosystem? Look no further than the Microsoft Certified Exam Guide - Azure AI Engineer Associate (AI-102). This comprehensive book is your ultimate companion on the path to mastering Azure AI and acing the AI-102 exam. In today's era of data-driven decision-making, AI and machine learning are the driving forces behind innovation and transformation. Microsoft Azure provides a robust platform for developing AI solutions, and organizations worldwide are seeking AI experts who can leverage its capabilities. Whether you're an AI enthusiast, a data scientist, or an IT professional, this book equips you with the knowledge and skills needed to excel in Azure AI. Inside this book, you will discover: ✔ Comprehensive Coverage: A deep dive into all the essential AI concepts, tools, and best practices for designing, implementing, and maintaining AI solutions on Azure. ✔ Real-World Scenarios: Practical examples and case studies that showcase how Azure AI is used to solve real business challenges, making learning both engaging and relevant. ✔ Exam-Ready Preparation: Thorough coverage of AI-102 exam objectives, complete with practice questions and expert tips to ensure you're well-prepared for exam day. ✔ Proven Expertise: Authored by Azure AI professionals who hold the certification and have hands-on experience in developing AI solutions, offering you invaluable insights and practical guidance. Whether you aspire to advance your career, validate your expertise, or simply become a proficient Azure AI Engineer, Microsoft Certified Exam Guide - Azure AI Engineer Associate (AI-102) is your trusted companion on this journey. Don't miss this opportunity to become a sought-after AI expert in a competitive job market. Prepare, practice, and succeed with the ultimate resource for AI-102 certification. Order your copy today and unlock a world of AI possibilities with Microsoft Azure! © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com |
| azure cognitive services for language: MASTERING AZURE FOR PREDICTIVE ANALYTICS AND MACHINE LEARNING KRISHNA KISHOR TIRUPATI SATISH VADLAMANI SHALU JAIN A RENUKA, 2024-10-09 In Today's Data-Driven World, The Ability To Harness The Power Of Predictive Analytics And Machine Learning Has Become A Pivotal Force In Shaping Innovation Across Industries. This Book, Mastering Azure For Predictive Analytics And Machine Learning, Aims To Bridge The Gap Between Cloud Technology And The Analytical Tools Needed To Drive Insights From Complex Data. Our Objective Is To Provide Readers With The Foundational Knowledge And Advanced Techniques Necessary To Leverage Microsoft Azure For Predictive Modeling And Machine Learning Applications. The Structure Of This Book Offers A Comprehensive Exploration Of The Tools, Methodologies, And Best Practices That Define Modern Analytics And Machine Learning In The Cloud. From Setting Up Your Azure Environment To Deploying Machine Learning Models, We Cover Each Stage With Practical Examples And Detailed Guidance. The Content Is Designed For A Broad Audience, Including Students, Data Scientists, It Professionals, And Business Leaders Who Seek To Use Azure’s Capabilities To Make Data-Informed Decisions. Drawing From The Latest Industry Research And Real-World Use Cases, This Book Not Only Provides Theoretical Knowledge But Also Equips Readers With Hands-On Skills They Can Apply In Real-Time Data Projects. Each Chapter Balances Depth With Accessibility, Covering Topics Like Data Preparation, Model Building, And Cloud-Based Deployment, While Also Touching On Critical Issues Such As Scalability, Security, And Automation. Additionally, We Highlight Best Practices For Managing Azure’s Infrastructure And Optimizing Machine Learning Workflows Within The Platform. The Inspiration For This Book Comes From The Recognition Of The Growing Role That Cloud Platforms Like Azure Play In Transforming How Organizations Use Data To Innovate And Compete. We Are Immensely Thankful To Chancellor Shri Shiv Kumar Gupta Of Maharaja Agrasen Himalayan Garhwal University For His Support And Commitment To Academic And Technological Excellence, Which Has Been Instrumental In Making This Book A Reality. We Hope That Mastering Azure For Predictive Analytics And Machine Learning Will Be A Valuable Resource For Anyone Looking To Deepen Their Understanding Of How Cloud Computing And Machine Learning Can Converge To Unlock The Full Potential Of Predictive Analytics. The Knowledge Contained In These Pages Is Intended To Empower Readers To Lead Transformative Data Projects With Confidence. Thank You For Embarking On This Journey With Us. Authors |
| azure cognitive services for language: Future And Fintech, The: Abcdi And Beyond Jun Xu, 2022-05-05 The Future and FinTech examines the fundamental financial technologies and its growing impact on the Banking, Financial Services and Insurance (BFSI) sectors. With global investment amounting to more than $100 billion in 2020, the proliferation of FinTech has underpinned the direction payments, loans, wealth management, insurance, and cryptocurrencies are heading.This book presents FinTech from an industrial perspective in the context of architecture and its basic building blocks, e.g., Artificial Intelligence (AI), Blockchain, Cloud, Big Data, Internet of Things (IoT), and its connections to real-life applications at work. It provides a detailed guidance on how FinTech digitalizes business operations, improves productivity and efficiency, and optimizes resource management with the help of some new concepts, such as AIOps, MLOps and DevSecOps. Readers will also discover how FinTech Innovations connect BFSI to the rest of the world with growing interests in Open Banking, Banking-as-a-Service (BaaS) and FinTech-as-a-Service (FaaS).To help readers understand how FinTech has unlocked numerous opportunities for tapping into the massive substantial group of customers, this book illustrates the massive changes already underway and provides insights into changes yet to come through practical examples and applications with illustrative figures and summary tables, making this book a handy quick reference for all things of FinTech.Related Link(s) |
| azure cognitive services for language: Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines Management Association, Information Resources, 2022-06-10 The rise of internet and social media usage in the past couple of decades has presented a very useful tool for many different industries and fields to utilize. With much of the world’s population writing their opinions on various products and services in public online forums, industries can collect this data through various computational tools and methods. These tools and methods, however, are still being perfected in both collection and implementation. Sentiment analysis can be used for many different industries and for many different purposes, which could better business performance and even society. The Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry. It further presents emerging technologies and developments within the field of sentiment analysis and opinion mining. Covering topics such as electronic word of mouth (eWOM), public security, and user similarity, this major reference work is a comprehensive resource for computer scientists, IT professionals, AI scientists, business leaders and managers, marketers, advertising agencies, public administrators, government officials, university administrators, libraries, students and faculty of higher education, researchers, and academicians. |
| azure cognitive services for language: The Handbook on Socially Interactive Agents Birgit Lugrin, Catherine Pelachaud, David Traum, 2022-10-19 The Handbook on Socially Interactive Agents provides a comprehensive overview of the research fields of Embodied Conversational Agents;Intelligent Virtual Agents;and Social Robotics. Socially Interactive Agents (SIAs);whether virtually or physically embodied;are autonomous agents that are able to perceive an environment including people or other agents;reason;decide how to interact;and express attitudes such as emotions;engagement;or empathy. They are capable of interacting with people and one another in a socially intelligent manner using multimodal communicative behaviors;with the goal to support humans in various domains. Written by international experts in their respective fields;the book summarizes research in the many important research communities pertinent for SIAs;while discussing current challenges and future directions. The handbook provides easy access to modeling and studying SIAs for researchers and students;and aims at further bridging the gap between the research communities involved. In two volumes;the book clearly structures the vast body of research. The first volume starts by introducing what is involved in SIAs research;in particular research methodologies and ethical implications of developing SIAs. It further examines research on appearance and behavior;focusing on multimodality. Finally;social cognition for SIAs is investigated using different theoretical models and phenomena such as theory of mind or pro-sociality. The second volume starts with perspectives on interaction;examined from different angles such as interaction in social space;group interaction;or long-term interaction. It also includes an extensive overview summarizing research and systems of human–agent platforms and of some of the major application areas of SIAs such as education;aging support;autism;and games. |
| azure cognitive services for language: AI-900: Microsoft Azure AI Fundamentals Exam Preparation - NEW Edition Georgio Daccache, AI-900: Microsoft Azure AI Fundamentals Exam Preparation Book New Edition 2024: Achieve success in your Microsoft AI-900 Azure AI Fundamentals Exam on the first try with our new and exclusive preparation book. This Exclusive Book is a preparation for students who want to Successfully pass the AI-900: Microsoft Azure AI Fundamentals exam on the first Try! Here we’ve brought Top new and recurrent Exam Practice Questions for Microsoft AI-900 Azure AI Fundamentals exam so that you can prepare well for this exam. This Exclusive book is aligned with the Microsoft AI-900 Exam Review Manual 2024 edition and covers all the exam’s topics that a Microsoft AI-900 candidate needs to understand in order to pass the exam successfully. The book practice tests contain exclusive, up-to-date content that is designed to match the real exam. The Practice tests will help you gaining more knowledge and more confidence on exam preparation. You will be able to self-evaluation against the real exam content. This book of exclusive practice tests will test you on questions asked in the actual Exam. This exam is intended for candidates no matter their prior knowledge or experience. Skills measured: Describe AI workloads and considerations (15-20%) Describe the fundamental principles of machine learning (ML) on Azure (30-35%) Describe the features of the computer vision (CV) workloads on Azure (15-20%) Describe the features of the Natural Language Processing (NLP) workloads on Microsoft Azure (15-20%) Describe features of generative AI workloads on Azure (15-20%) Who this book is for: Microsoft Azure AI Fundamentals (AI-900) candidates. Beginners in Machine Learning (ML) Welcome! |
| azure cognitive services for language: Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution Preparation - NEW & Exclusive Georgio Daccache, Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution Latest and Exclusive Practice tests New Book. If you’re looking to test your knowledge, and practice the real exam questions, you are on the right place. This New Book contains the Latest Questions, Detailed and Exclusive Explanation + References. Our book covers all topics included in the AI-102 exam. The Microsoft AI-102 exam encompasses 40-60 questions, featuring diverse formats such as multiple-choice questions, scenario-based single-answer questions, arrange-in-correct-sequence type questions, mark review, drag & drop questions, and others. Candidates are allotted 180 minutes to finish the exam. This book will undergo periodic updates to align with the skills essential for successfully passing the official exam. This book contains two full-length, exclusive, and up-to-date practice tests with a total of 120 questions. This all-encompassing exam guide includes mock exams, and expert exam tips. You'll have the flexibility to practice as much as needed, enhancing your preparedness for the official exam. This exam assesses your proficiency in executing various technical tasks, including planning and overseeing an Azure AI solution, implementing decision support solutions, deploying computer vision solutions, integrating natural language processing solutions, implementing knowledge mining solutions and document intelligence solutions, and incorporating generative AI solutions. By the end of this book and after practicing these exclusive tests, you'll be well-equipped to pass the AI-102 exam confidently with a high score, ultimately saving both your time and money. Welcome! |
| azure cognitive services for language: Hands-on Cloud Analytics with Microsoft Azure Stack Prashila Naik, 2020-11-12 Explore and work with various Microsoft Azure services for real-time Data Analytics KEY FEATURESÊ Understanding what Azure can do with your data Understanding the analytics services offered by Azure Understand how data can be transformed to generate more data Understand what is done after a Machine Learning model is builtÊ Go through some Data Analytics real-world use cases ÊÊ DESCRIPTIONÊ Data is the key input for Analytics. Building and implementing data platforms such as Data Lakes, modern Data Marts, and Analytics at scale require the right cloud platform that Azure provides through its services. The book starts by sharing how analytics has evolved and continues to evolve. Following the introduction, you will deep dive into ingestion technologies. You will learn about Data processing services in Azure. You will next learn about what is meant by a Data Lake and understand how Azure Data Lake Storage is used for analytical workloads. You will then learn about critical services that will provide actual Machine Learning capabilities in Azure. The book also talks about Azure Data Catalog for cataloging, Azure AD for Access Management, Web Apps and PowerApps for cloud web applications, Cognitive services for Speech, Vision, Search and Language, Azure VM for computing and Data Science VMs, Functions as serverless computing, Kubernetes and Containers as deployment options. Towards the end, the book discusses two use cases on Analytics. WHAT WILL YOU LEARNÊÊ Explore and work with various Azure services Orchestrate and ingest data using Azure Data Factory Learn how to use Azure Stream Analytics Get to know more about Synapse Analytics and its features Learn how to use Azure Analysis Services and its functionalities Ê WHO THIS BOOK IS FORÊ This book is for anyone who has basic to intermediate knowledge of cloud and analytics concepts and wants to use Microsoft Azure for Data Analytics. This book will also benefit Data Scientists who want to use Azure for Machine Learning. Ê TABLE OF CONTENTSÊÊ 1. Ê Data and its power 2. Ê Evolution of Analytics and its Types 3. Ê Internet of Things 4. Ê AI and ML 5. Ê Why cloud 6. Ê What are a data lake and a modern datamart 7. Ê Introduction to Azure services 8. Ê Types of data 9. Ê Azure Data Factory 10. Stream Analytics 11. Azure Data Lake Store and Azure Storage 12. Cosmos DB 13.Ê Synapse Analytics 14.Ê Azure Databricks 15.Ê Azure Analysis Services 16.Ê Power BI 17.Ê Azure Machine Learning 18.Ê Sample Architectures and synergies - Real-Time and Batch 19.Ê Azure Data Catalog 20.Ê Azure Active Directory 21.Ê Azure Webapps 22.Ê Power apps 23.Ê Time Series Insights 24.Ê Azure Cognitive Services 25.Ê Azure Logicapps 26.Ê Azure VM 27.Ê Azure Functions 28.Ê Azure Containers 29.Ê Azure KubernetesÊ Service 30.Ê Use Case 1 31.Ê Use Case 2 |
| azure cognitive services for language: Developing Bots with QnA Maker Service Kasam Shaikh, 2018-11-29 Learn to develop bots with zero coding knowledge using the Azure Cognitive QnA Maker service, a GUI cognitive service from Microsoft. This book shows you how to integrate QnA Maker with the Azure Bot Service and Microsoft Bot Framework, along with how to integrate your bot with social channels such as Web Chat, and Telegram. You will learn what QnA Maker is, why you should use this service in enterprise settings, when you should use this service, and how you should use the service. Developing Bots with QnA Maker Service takes you through the QnA Maker FAQ knowledge base with Azure Bot Service, where you will discover how to get started with a web app bot using the Azure portal. This section culminates in deploying your bot on Azure Web App, making your bot live. Next, you will learn QnA Maker with the .NET Framework and Visual Studio 2017 along with ways to manage QnA Maker service post deployment. Finally, you will learn how to add media content including videos and images to the QnA Maker knowledge base. After reading this book you will be able to develop bots using the latest .NET Framework, Visual Studio 2017, and the Microsoft online code editor. What You Will LearnCustomize QnA Maker default components, using the Azure portal Work with Microsoft Bot Framework Develop and integrate FAQ bots with Azure Bot Service Manage FAQ bots using the .NET Framework and the Azure portal Who This Book Is For Developers/architects with an interest in building chatbots. |
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Partner Professional Services. Size: 10,000+ employees. Country: United Kingdom. Products and services: Microsoft Azure. Azure Cognitive Services. Speech Services. Language …
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Match the Azure services to the appropriate locations in the architecture. To answer, drag the appropriate service from the column on the left to its location on the right. ... You need to …
Microsoft - ExamsBoost
A. AdaptiveCard . B. SigninCard . C. CardCarousel . D. HeroCard . Answer: D . Explanation: Scenario: Butler must greet users by name when they first connect.
An overview of sentiment analysis using Azure Cognitive …
provide the reader how sentiment analysis applications such as Azure Cognitive Services (Language- text analytics) are leveraging their natural language processing capabilities …
Yang Liu University of North Carolina at Chapel Hill Microsoft …
2Microsoft Azure Cognitive Services Research 3Microsoft Azure Visual Document Intelligence Abstract We propose Universal Document Processing (UDOP), a foundation Document AI …
Unifying Vision, Text, and Layout for Universal Document …
2Microsoft Azure Cognitive Services Research 3Microsoft Azure Visual Document Intelligence Abstract We propose Universal Document Processing (UDOP), a foundation Document AI …
Shared by Sloan on 15-04-2024 - P2PExams
You are building a chatbot that will use question answering in Azure Cognitive Service for Language. You have a PDF named Doc1.pdf that contains a product catalogue and a price list …
Microsoft - dumpsofficial.com
Questions&AnswersPDF Page8 D.aBatchExecutionService(BES)andanAPIkey Answer:C Explanation: StepstoAddaNewwebservice 1.DeployawebserviceoruseanexistingWebservice.
SCHOOL OF ARTIFICIAL INTELLIGENCE AI Engineer using …
• Design and build an end-to-end AI solution with Azure Cognitive Services/Azure Cognitive APIs. • Design a security strategy that aligns with organizational policies and compliance …
Microsoft Azure cognitive services, Artificial Intelligence and …
• Set-up and configuration of Azure cognitive services • Data extraction, AI enrichment (e.g. Azure Knowledge Store and Search) • Development of custom data extraction skills
Introducing Cognitive Services - Springer
Azure Cognitive Services is a suite of services offered on Microsoft Azure that allows ... In so many words, that means that you need to have basic programming language knowledge to …
How to Use Azure AI to Solve Real-World Problems
engines before going with Azure Cognitive Services [Azure AI services], as none of the other options could deliver accuracy as high as Azure Cognitive Services [Azure AI services] did, …
The Transformative Role of Microsoft Azure AI in Healthcare
May 8, 2024 · Azure Cognitive Services play a crucial role in enhancing patient interaction and operational efficiency within healthcare ... These services integrate natural language …
Home | SpringerLink
v Table of Contents Chapter 1: Introducing Cognitive Services
Microsoft’s vision for AI in the enterprise
Powered by Azure Search with built-in Cognitive Services, Knowledge Mining is an AI-first approach to content understanding. It pulls data from a variety ... Cognitive Services Language …
Microsoft pass4itsure AI-102 by Ash 305
You have a chatbot that uses question answering in Azure Cognitive Service for Language. Users report that the responses of the chatbot lack formality when answering spurious questions. …
Visit Braindump2go and Download Full Version AI-102 Exam …
Which Azure Cognitive Services service should you use? A. Anomaly Detector B. Cognitive Search C. Form Recognizer D. Custom Vision Answer: A ... A. Language Understanding B. …
Shared by Oneal on 09-08-2024 - P2PExams
Sep 8, 2024 · You are developing an app that will use the Decision and Language APIs. You need to provision resources for the app. The solution must ensure that each service is …
Shared by Gaines on 12-12-2023 - P2PExams
Dec 12, 2023 · B- a free (Limited enrichments) Cognitive Services resource C- an Azure Machine Learning pipeline D- a new Cognitive Services resource that uses the SO pricing tier. ... You …
mscstts: R Client for the Microsoft Cognitive Services 'Text-to …
2 ms_create_ssml ms_get_tts_token . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 ms_language_to_ms_name ...
Academia Data Scientist - flag.pt
tecnologias, como Generative AI, Microsoft Azure AI e Azure Databricks, preparando-os para enfrentarem desafios avançados em ciência de dados. Desenvolver competências técnicas …
Improving Custom Vision cognitive services model
By embedding cloud vision capabilities as part of Azure Cognitive Services, you can extract rich information from photos and video, analyze images and video in real time, and create …
Azure Machine Learning Cheat Sheet - timehelper-beta.orases
azure machine learning cheat sheet: Hands-On Machine Learning with Azure Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak, 2018-10-31 Implement …
WhizCard AI-900 ver.1.02.11292020 - Whizlabs
Azure Cognitive Face service currently includes the following functionality: Face detection, Face verification, Find similar ... Identify Azure tools and services for computer vision tasks ...
Qiagen Innovation Project Intro - download.microsoft.com
natural language based intents. Key technologies • Microsoft Bot Builder SDK • Microsoft Bot Connector • Microsoft Azure App Services Web Apps • Microsoft Q&A Maker • Microsoft …
Questions & Answers
An Azure Cosmos DB account The account uses the Core (SQL) API. The account stores data for the Product Management app and the Inventory Tracking app. An Azure Storage account The …
Developing AI-Powered Java Applications in the Cloud
Azure AI Services: Offers APIs for language understanding, computer vision, and anomaly detection through Azure Cognitive Services. Google Cloud AI: Provides APIs for natural …
Working with Azure Cognitive Search - Springer
Microsoft Office for more than a decade and is used for AI services across vision, language, and speech. Figure 1-3. Document cracking explained ... Azure Cognitive Services AI Skills Azure …
Introduction to AI - info.microsoft.com
Natural Language Processing Applications that can interpret written or spoken language Conversational AI AI agents, (or bots), that can engage in dialogs with human users. A …
Abstract - arXiv.org
2Microsoft Azure Cognitive Services Research https://codi-gen.github.io Abstract We present Composable Diffusion (CoDi), a novel generative model capable of ... [47] and video-speech …
Visit Braindump2go and Download Full Version AI-102 Exam …
B. a free (Limited enrichments) Cognitive Services resource C. an Azure Machine Learning pipeline D. a new Cognitive Services resource that uses the S0 pricing tier Answer: A …
text2speech: Text to Speech Conversion - The Comprehensive …
Text-to-Speech API, and Microsoft Cognitive Services Text to Speech REST API. With the exception of Coqui TTS, all these engines are accessible as R packages: •aws.pollyis a client …
Abstract - arXiv.org
Microsoft Azure Cognitive Services Research {ziyiyang, yuwfan, chezhu}@microsoft.com Abstract Human intelligence is multimodal; we integrate visual, linguistic, and acoustic sig-nals to …
© Copyright Microsoft Corporation. All rights reserved.
Cognitive Services • AI application resources in an Azure subscription: • Standalone resources for specific services • General Cognitive Services resource for multiple services • Consumed by …
Azure Document Management System - timehelper-beta.orases
capabilities. With Practical Guide to Azure Cognitive Services, you'll work through industry-specific examples of implementations to get a head-start in your production journey. You'll …
April Dunnam - Powering Your Apps With Cognitive Services
Language detection 3. Face API 1. Face Detection (Gender, Age, etc) 2. Emotion Identication (happy, sad, etc) 4. PowerApps Spell Checker with BING and LUIS ... Step 1 – You should …
© Copyright Microsoft Corporation. All rights reserved.
Machine Learning Predictive models based on data and statistics – the foundation for AI Anomaly Detection Systems that detect unusual patterns or events, enabling pre-emptive action …
Visit Braindump2go and Download Full Version AI-102 Exam …
An Azure Cosmos DB account - The account uses the Core (SQL) API. - The account stores data for the Product Management app and the Inventory Tracking app. An Azure Storage account - …
Translation Assistant Administrator's Guide PDF - Lexmark …
documents in an original language and translate them to a target language. You can then print or email the translated documents. Translation Assistant uses optical character recognition …
Markus Egger - .NET Framework
Cognitive Service for Language •Natural Language Processing (NLP) •Examples: •Named entity recognition (NER) •Key phrase extraction •Summaries, language detection •Sentiment …
Any-to-Any Generation via Composable Diffusion - NeurIPS
2Microsoft Azure Cognitive Services Research https://codi-gen.github.io Abstract We present Composable Diffusion (CoDi), a novel generative model capable of ... [47] and video-speech …
Microsoft Corporation - Blue Idea SE
Cognitive Services: Custom Vision Cognitive Services: Cognitive Service Platform Cognitive Services: Face Cognitive Services: Immersive Reader - Cognitive Services: Personalizer …
Exam Code: AI-102 Exam Name: Designing and Implementing …
An Azure Cognitive Services resource named wwics A Video Indexer resource named wwivi Question You are developing the smart e-commerce project. ... From the Language …
Genesys Knowledge Center Deployment Guide
automatically translate the content of knowledge documents from one language to another. Authors can translate the whole document or just particular fields of the document. Automated …
The AI Opportunity with Power Platform
Works with Azure Devops for full ALM and solution management. Channels Publish Copilots across channels from chat to voice to consumer IM apps Analytics Build custom analytics by …
QUESTION & ANSWER
Box 1: Azure Cognitive Services ... Not: Azure Linguistic Analytics API, which provides advanced natural language processing over raw text. Box 2: Azure Data Factory The Azure Data Factory …
Microsoft Corporation - eeslindia.org
• Analytics: Azure Analysis Services, HDInsight • AI + Machine Learning: Azure Bot Service, Cognitive Services: Content Moderator, Cognitive Services: Face API, Cognitive Services: …
Azure and ServiceNow: Integrate your IT Operations to the …
ServiceNow Cloud Management uses the latest Azure technology for Azure provisioning, supports a comprehensive set of Azure IaaS and PaaS services, and is deeply integrated with the …
A Comparison of Lexicon-Based and ML-Based Sentiment …
language texts drawn from 4 domains using the Hedonometer, a lexicon-based technique and Azure, a contemporary machine-learning based approach which is part of the Azure Cognitive …
