Language Understanding With Luis
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Language Understanding With Luis
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-09
Language Understanding With Luis written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.
"Language Understanding with LUIS" "Language Understanding with LUIS" is an in-depth, authoritative guide to mastering Microsoft’s Language Understanding Intelligent Service (LUIS), a pivotal technology at the heart of enterprise conversational AI. The book begins with a comprehensive exploration of natural language processing (NLP), tracing its historical roots and detailing the evolution of LUIS within today’s cloud-powered ecosystem. Readers are introduced to LUIS’s architecture, intent recognition, sophisticated entity extraction, and essential security considerations—laying the groundwork for building robust, scalable, and secure language applications. Progressing beyond foundational principles, the text offers a detailed roadmap for application design and data engineering tailored specifically to LUIS. Readers will find expert guidance on crafting diverse utterance corpora, structuring intents and entities for maximum coverage and specificity, and leveraging advanced techniques for data labeling and conflict management. The model training pipeline receives focused attention, including best practices for exploratory data analysis, supervised and transfer learning, distributed training, and precision optimization through hyperparameter tuning. Throughout, evaluation, monitoring, and continuous improvement are addressed with cutting-edge metrics, error analysis, and automation workflows. Bridging theory and real-world deployment, the book examines advanced modeling topics such as contextual intent resolution, dynamic entity handling, multilingual support, and scalable integration patterns with Azure and beyond. Enterprise-grade security, compliance, and operational excellence are explored in depth, providing clear strategies for authentication, privacy, governance, and cost optimization. The final chapters peer into the future of language AI, illuminating emerging trends such as integration with large language models, knowledge graphs, explainability, self-healing systems, and ethical considerations, making this book an indispensable resource for professionals and innovators building the next generation of intelligent conversational systems.
Building Intelligent Applications With Luis Ai
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-19
Building Intelligent Applications With Luis Ai written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.
"Building Intelligent Applications with Luis.ai" Unlock the full potential of conversational AI with "Building Intelligent Applications with Luis.ai," a comprehensive guide designed for professionals, architects, and developers seeking to master intelligent application development using Microsoft’s powerful Luis.ai platform. Beginning with a thorough overview of conversational intelligence, the book offers a deep exploration of Luis.ai’s architecture, foundational concepts, and its strategic integration within Azure Cognitive Services. Practical insights on languages, frameworks, and application patterns are balanced with guidance on ethical, security, and privacy considerations—equipping readers to design solutions that are both innovative and responsible. Delving into the intricacies of language understanding, the book methodically covers the design, modeling, and management of Luis.ai solutions, addressing topics such as intent taxonomy, entity extraction, data annotation, and advanced model composition. Readers are guided through robust training, testing, and validation methodologies, with a focus on iterative improvement, bias detection, and performance testing in real-world scenarios. Chapters devoted to API integration, scalable deployments, and real-time architectures ensure practical, production-ready implementations across diverse platforms and modalities. Beyond development fundamentals, the book addresses the operational realities of intelligent applications, with best practices for telemetry, monitoring, analytics, DevOps automation, and compliance. Security, privacy, and regulatory requirements are examined in depth, emphasizing auditability and incident response. The final sections explore cutting-edge trends, such as integrating large language models, deploying at the intelligent edge, and advancing personalization—all culminating in a forward-looking perspective on the challenges and opportunities shaping the next era of intelligent conversational agents.
Artificial Intelligence For Net Speech Language And Search
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Author : Nishith Pathak
language : en
Publisher: Apress
Release Date : 2017-08-14
Artificial Intelligence For Net Speech Language And Search written by Nishith Pathak and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-14 with Computers categories.
Get introduced to the world of artificial intelligence with this accessible and practical guide. Build applications that make intelligent use of language and user interaction to better compete in today’s marketplace. Discover how your application can deeply understand and interpret content on the web or a user’s machine, intelligently react to direct user interaction through speech or text, or make smart recommendations on products or services that are tailored to each individual user. With Microsoft Cognitive Services, you can do all this and more utilizing a set of easy-to-use APIs that can be consumed on the desktop, web, or mobile devices. Developers normally think of AI implementation as a tough task involving writing complex algorithms. This book aims to remove the anxiety by creating a cognitive application with a few lines of code. There is a wide range of Cognitive Services APIs available. This book focuses on some of the most useful and powerful ways that your application can make intelligent use of language. Artificial Intelligence for .NET: Speech, Language, and Search will show you how you can start building amazing capabilities into your applications today. What You'll Learn Understand the underpinnings of artificial intelligence through practical examples and scenarios Get started building an AI-based application in Visual Studio Build a text-based conversational interface for direct user interaction Use the Cognitive Services Speech API to recognize and interpret speech Look at different models of language, including natural language processing, and how to apply them in your Visual Studio application Reuse Bing search capabilities to better understand a user’s intention Work with recommendation engines and integrate them into your apps Who This Book Is For Developers working on a range of platforms, from .NET and Windows to mobile devices. Examples are given in C#. No prior experience with AI techniques or theory is required.
The Conversational Interface
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Author : Michael McTear
language : en
Publisher: Springer
Release Date : 2016-05-19
The Conversational Interface written by Michael McTear and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-19 with Technology & Engineering categories.
This book provides a comprehensive introduction to the conversational interface, which is becoming the main mode of interaction with virtual personal assistants, smart devices, various types of wearable, and social robots. The book consists of four parts. Part I presents the background to conversational interfaces, examining past and present work on spoken language interaction with computers. Part II covers the various technologies that are required to build a conversational interface along with practical chapters and exercises using open source tools. Part III looks at interactions with smart devices, wearables, and robots, and discusses the role of emotion and personality in the conversational interface. Part IV examines methods for evaluating conversational interfaces and discusses future directions.
Exam Ref Ai 900 Microsoft Azure Ai Fundamentals
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Author : Julian Sharp
language : en
Publisher: Microsoft Press
Release Date : 2021-11-16
Exam Ref Ai 900 Microsoft Azure Ai Fundamentals written by Julian Sharp and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-16 with Computers categories.
Prepare for Microsoft Exam AI-900 and help demonstrate your real-world knowledge of diverse machine learning (ML) and artificial intelligence (AI) workloads, and how they can be implemented with Azure AI. Designed for business stakeholders, new and existing IT professionals, consultants, and students, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure AI Fundamentals level. Focus on the expertise measured by these objectives: • Describe AI workloads and considerations • Describe fundamental principles of machine learning on Azure • Describe features of computer vision workloads on Azure • Describe features of Natural Language Processing (NLP) workloads on Azure • Describe features of conversational AI workloads on Azure This Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you are a business user, stakeholder, technical professional, or student who wants to become familiar with Azure AI; requires no data science or software engineering experience. About the Exam Exam AI-900 focuses on knowledge needed to identify features of common AI workloads and guiding principles for responsible AI; identify common ML types; describe core ML concepts; identify core tasks in creating an ML solution; describe capabilities of no-code ML with Azure Machine Learning Studio; identify common types of computer vision solutions; identify Azure tools and services for computer vision tasks; identify features of common NLP workload scenarios; identify Azure tools and services for NLP workloads; and identify common use cases and Azure services for conversational Al. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure AI Fundamentals certification, demonstrating your knowledge of common ML and AI workloads and how to implement them on Azure. With this certification, you can move on to earn more advanced role-based certifications, including Microsoft Certified: Azure AI Engineer Associate or Azure Data Scientist Associate. See full details at: microsoft.com/learn
Iot Ai And Blockchain For Net
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Author : Nishith Pathak
language : en
Publisher: Apress
Release Date : 2018-08-14
Iot Ai And Blockchain For Net written by Nishith Pathak and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-14 with Computers categories.
Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest easy-to-use APIs and services from Microsoft, including Azure IoT, Cognitive Services APIs, Blockchain as a Service (BaaS), and Machine Learning Studio. As you work through the book, you’ll get hands-on experience building an example solution that uses all of these technologies—an IoT suite for a smart healthcare facility. Hosted on Azure and networked using Azure IoT, the solution includes centralized patient monitoring, using Cognitive Services APIs for face detection, recognition, and tracking. Blockchain is used to create trust-based security and inventory management. Machine learning is used to create predictive solutions to proactively improve quality of life. By the end of the book, you’ll be confident creating richer and smarter applications using these technologies. What You’ll Learn Know the technologies underpinning Industry 4.0 and AI 2.0 Develop real-time solutions using IoT in Azure Bring the smart capabilities of AI 2.0 into your application using a simple API call Host and manage your solution on Azure Understand Blockchain as a Service Capture and analyze data on the fly Make predictions using existing data Who This Book Is For Novice and intermediate .NET developers and architects who want to learn what it takes to create a modern or next-generation application
Microsoft Azure Ai Fundamentals Ai 900 Exam Guide
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Author : Aaron Guilmette
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-31
Microsoft Azure Ai Fundamentals Ai 900 Exam Guide written by Aaron Guilmette and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
Get ready to pass the certification exam on your first attempt by gaining actionable insights into AI concepts, ML techniques, and Azure AI services covered in the latest AI-900 exam syllabus from two industry experts Key Features Discover Azure AI services, including computer vision, Auto ML, NLP, and OpenAI Explore AI use cases, such as image identification, chatbots, and more Work through 145 practice questions under chapter-end self-assessments and mock exams Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tips Book Description The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud. This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You'll explore Microsoft's responsible AI principles like safety and accountability. Then, you'll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you'll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you'll find chapter review questions with answers, provided as an online resource. By the end of this exam guide, you'll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources. What you will learn Discover various types of artificial intelligence (AI)workloads and services in Azure Cover Microsoft's guiding principles for responsible AI development and use Understand the fundamental principles of how AI and machine learning work Explore how AI models can recognize content in images and documents Gain insights into the features and use cases for natural language processing Explore the capabilities of generative AI services Who this book is for Whether you're a cloud engineer, software developer, an aspiring data scientist, or simply interested in learning AI/ML concepts and capabilities on Azure, this book is for you. The book also serves as a foundation for those looking to attempt more advanced AI and data science-related certification exams (e.g. Microsoft Certified: Azure AI Engineer Associate). Although no experience in data science and software engineering is required, basic knowledge of cloud concepts and client-server applications is assumed.
Microsoft Certified Exam Guide Azure Ai Engineer Associate Ai 102
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Microsoft Certified Exam Guide Azure Ai Engineer Associate Ai 102 written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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
Developing Cloud Native Applications In Azure Using Net Core
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Author : Kodali Rekha
language : en
Publisher: BPB Publications
Release Date : 2020-02-01
Developing Cloud Native Applications In Azure Using Net Core written by Kodali Rekha and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-01 with Computers categories.
Guide to designing and developing cloud native applications in Azure Key Featuresa- Basics of Cloud Native Applications a- Designing Microservicesa- Different cloud native options for developing Cloud Native Applications in Azurea- BOTs, Web Apps, Mobile Apps, Logic Apps, Service Bus, Azure Functionsa- Azure IOT Applicationsa- Azure Machine Learning Basicsa- Enterprise Digital JourneysDescriptionThe mainstreaming of the cloud-native architecture as an enterprise discipline is well underway. According to the Forbes report, in January 2018, 83% of enterprise workloads will be in the cloud by 2020, 41% of enterprise workloads will run on public cloud platforms while another 22% will be running on hybrid cloud platforms. Customers are embarking on enterprise digital transformation journeys. Adopting cloud, cloud-native architectures, and microservices is an important aspect of the journey.This book starts with a brief introduction to the basics of cloud-native applications and cloud-native application patterns. It covers cloud-native options available in Azure. The objective of the book is to provide practical guidelines to an architect/designer/consultant/developer who is part of the Cloud application definition team. The book articulates a methodology that the implementation team needs to follow in a systematic manner and adapt them to fulfill the requirements for enabling the cloud-native application. It emphasizes on the interpersonal skills and techniques for organizing and directing the cloud-native definition, leadership buy-in, and leading the transition from planning to implementation. It also highlights steps to be followed and the patterns for developing cloud-native applications, cloud-native options available in Azure, developing BOT, and microservices based on Azure. It also covers how to develop simple IoT applications, Machine learning-based applications, and the serverless architecture using Azure with a practical and pragmatic approach.This book embraces a structured approach around the following key themes that represent the typical phases an enterprise traverses during its cloud-native application journey.What will you learnThis book aims to: a- Demonstrate the importance of cloud-native applications in elevating the effectiveness of organizational transformation programs and digital enterprise journeys using MS Azure.a- Disseminate current advancements and thought leadership in the area of cloud-native architecture in the context of digital enterprises.a- Provide initiatives with evidence-based, credible, field-tested and practical guidance in designing their respective architectures.Who this book is forThe book is intended for anyone looking for a career in Cloud technology, especially all aspiring Cloud Architects who want to learn cloud-native architectures, Microservices, IoT, BOT and Microsoft Azure platform.Table of Contents1. Basics of Cloud Native Applications2. Cloud Native Application Patterns3. Cloud Native Options available in Azure - BOTs, Logic Apps, Service Bus, Azure Microservices, ML services 4. Developing a Simple BOT using .NET Core5. Developing Cloud Native applications leveraging Microservices and Azure API Gateway6. Developing Integration capabilities using serverless architecture7. Developing a simple IoT application8. Developing a simple ML based application9. Different enterprise use cases which enable digital transformation using Cloud Native Applications
Applied Soft Computing And Communication Networks
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Author : Sabu M. Thampi
language : en
Publisher: Springer Nature
Release Date : 2021-07-01
Applied Soft Computing And Communication Networks written by Sabu M. Thampi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-01 with Technology & Engineering categories.
This book constitutes thoroughly refereed post-conference proceedings of the International Applied Soft Computing and Communication Networks (ACN 2020) held in VIT, Chennai, India, during October 14–17, 2020. The research papers presented were carefully reviewed and selected from several initial submissions. The book is directed to the researchers and scientists engaged in various fields of intelligent systems.