AI-900 Fundamentals
AI Workloads & Considerations
Machine Learning
Natural Language Processing (NLP)
Conversational AI (Bots)
AI Worloads
Machine Learning
Anomaly Detection
Computer Vision
Natural Language Processing
Conversational AI
Guiding Principles
Fairness
Reliability & Safety
Privacy & Security
Inclusiveness
Transparency
Accountability
Algorithms
Regression
Classification
Clustering
Train model using data to predict values
Train model using data to predict category / class
Group similar items into clustuers based on their features
Azure Machine Learning Service
- Automated Machine Learning
- Azure Machine Learning Designer
- Data and Compute Management
- Pipelines
Azure Anomaly Dector Service
Computer Vision
Services
Custom Vision
Face
Form Recognizer
Computer Vision
train custom image classification and object detection models
extract info from scanned forms and invoices
build face detection and facial recognition solutions
analyse images and video and extract desctiptions, tags, objects, text
- OCR API, Read API
Model
Evaluation
- Prcesion (percentage correct classifications)
- Recall (percentage correct identification)
- Average Precision (AP) - combined precision and recall
Services
Text Analytics
Translator Text
Speech
Language Understanding Intelligent Services (LUIS)
- Language Detection
- Sentiment Analysis
- Key Phrase Extraction
- Entity Recognition
- Speech-to-text
- Text-to-speech
- Speech Translation
- Utterances
- Entities
- Intent
- from languate to mutliple languages
- Profanity filtering
- selective translation (exclude some content)
- QnA Maker
- Azure Bot Service