Book Content
chapters • 12h4m total length
1. Introducing Azure Machine Learning
2. Working with Data in AMLS
3. Training Machine Learning Models in AMLS
4. Tuning Your Models with AMLS
5. Azure Automated Machine Learning
6. Deploying ML Models for Real-Time Inferencing
7. Deploying ML Models for Batch Scoring
8. Responsible AI
9. Productionizing Your Workload with MLOps
10. Using Deep Learning in Azure Machine Learning
11. Using Distributed Training in AMLS
