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)