Tutorial on Microsoft Azure Machine Learning Studio (AutoML-Regression)

Created by Microsoft AI for Earth Project: AI Monitoring Coal-fired Power Plant Emission from Space

0:00 Initiate a Automated ML run
0:12 Create a dataset from local files
1:40 Configure run
1:52 Select a compute cluster (create one if none exists)
3:00 Select machine learning task (classification/regression/time series prediction)
3:36 Monitor the status of the experiments
4:53 Check the completed experiment, view the trained models and identify the best model
5:31 View the explanation of the best model (why the model achieves the best performance, reveal the most important features in the decision making)
7:08 Deploy the best model as a service
8:32 The deployed REST service endpoint's swagger description
8:49 Use the embedded Test form to call the service
9:47 Use the Consume function to call the service using client code (Python)