Table of Contents
- An Overview of Modern Data Science
- Deploying Azure Machine Learning Workspace Resources
- Azure Machine Learning Studio Components
- Configuring the Workspace
- Letting the Machines Do the Model Training
- Visual Model Training and Publishing
- The AzureML Python SDK
- Experimenting with Python Code
- Optimizing the ML Model
- Understanding Model Results
- Working with Pipelines
- Operationalizing Models with Code
