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文前
Foreword
Contributors
About the authors
About the reviewers
Preface
Who this book is for
What this book covers
To get the most out of this book
Online Practice Resources
Download the example code files
Conventions used
Get in touch
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Part 1 Identify Features of Common AI Workloads
Chapter 1 Identify Features of Common AI Workloads
Identify features of data monitoring and anomaly detection workloads
Identify features of content moderation and personalization workloads
Identify computer vision workloads
Identify natural language processing workloads
Identify document intelligence workloads
Summary
Chapter 2 Identify the Guiding Principles for Responsible AI
Understanding ethical principles
Understand explainable principles
Summary
Exam Readiness Drill – Chapter Review Questions
Part 2 Describe the Fundamental Principles of Machine Learning on Azure
Chapter 3 Identify Common Machine Learning Techniques
Understanding machine learning terminology
Identify regression machine learning scenarios
Identify classification machine learning scenarios
Identify clustering machine learning scenarios
Identify features of deep learning techniques
Summary
Exam Readiness Drill – Chapter Review Questions
Chapter 4 Describe Core Machine Learning Concepts
Identify features and labels in a dataset for machine learning
Describe how training and validation datasets are used in machine learning
Summary
Exam Readiness Drill – Chapter Review Questions
Chapter 5 Describe Azure Machine Learning Capabilities
What is Azure ML?
Describe capabilities of AutoML
Describe data and compute services for data science and machine learning
Describe model management and deployment capabilities in Azure ML
Build a machine learning model in Azure ML
Summary
Exam Readiness Drill – Chapter Review Questions
Part 3 Describe Features of Computer Vision Workloads on Azure
Chapter 6 Identify Common Types of Computer Vision Solutions
Introduction to CV solutions
Identify features of image classification solutions
Identify features of object detection solutions
Identify features of OCR solutions
Identify features of facial detection and facial analysis solutions
Summary
Exam Readiness Drill – Chapter Review Questions
Chapter 7 Identify Azure Tools and Services for Computer Vision Tasks
Technical requirements
Describe capabilities of the Azure AI Vision service
Describe the capabilities of the Azure AI Face service
Describe capabilities of the Azure AI Video Indexer service
Summary
Exam Readiness Drill – Chapter Review Questions
Part 4 Describe Features of Natural Language Processing (NLP) Workloads on Azure
Chapter 8 Identify Features of Common NLP Workload Scenarios
Introduction to NLP
Identify features and uses for key phrase extraction
Identify features and uses for entity recognition
Identify features and uses for sentiment analysis
Identify features and uses for language modeling
Identify features and uses for speech recognition and synthesis
Identify features and uses for translation
Summary
Exam Readiness Drill – Chapter Review Questions
Chapter 9 Identify Azure Tools and Services for NLP Workloads
Technical requirements
Describe capabilities of the Azure AI Language service
Describe capabilities of the Azure AI Speech service
Describe capabilities of the Azure AI Translator service
Summary
Exam Readiness Drill – Chapter Review Questions
Part 5 Describe Features of Generative AI Workloads on Azure
Chapter 10 Identify Features of Generative AI Solutions
What is Generative AI?
Identify Features of Generative AI models
Identify common scenarios for generative AI
Identify Responsible AI considerations for generative AI
Summary
Exam Readiness Drill – Chapter Review Questions
Chapter 11 Identify Capabilities of Azure OpenAI Service
What is Azure OpenAI Service?
Describe natural language generation capabilities of Azure OpenAI Service
Describe code generation capabilities of Azure OpenAI Service
Describe image generation capabilities of Azure OpenAI Service
Summary
Exam Readiness Drill – Chapter Review Questions
Chapter 12 Accessing the Online Practice Resources
How to Access These Resources
Troubleshooting Tips
Practice Resources – A Quick Tour
Back to the Book
Index
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Microsoft Azure AI Fundamentals AI-900 Exam Guide