DP-100: Explore Data and Train Models in Azure Competency (Intermediate Level)

Topics covered

• create a K-means clustering model in Azure Machine Learning Studio
• create and use a compute resource
• deploy a classification model based inference pipeline that can be used by clients
• deploy an clustering model based inference pipeline that can be used by clients
• deploy a regression model-based inference pipeline that can be used by clients
• describe datasets and how to manipulate data for those datasets
• describe how features are selected and used from datasets in AI algorithms
• describe how supervised machine learning models use labeled data, are simpler to build, and have more accurate results
• describe how unsupervised machine learning models discover patterns from unlabeled data and can perform complex processing tasks
• describe metrics for determining the best classification model to use
• describe the best metrics for determining which regression model to use
• evaluate a classification model by using an evaluate model in Azure Machine Learning Studio
• evaluate a clustering model by using an evaluate model in Azure Machine Learning Studio
• evaluate a regression model by using an evaluate model in Azure Machine Learning Studio
• ingest data from an Azure Blob storage resource
• register and signup for an Azure Machine Learning Studio account and access the studio dashboard
• use an existing pipeline to create a new inference pipeline to create a predictive service for a classification model
• use an existing pipeline to create a new inference pipeline to create a predictive service for a clustering model
• use an existing pipeline to create a new inference pipeline to create a predictive service for a regression model
• use a subset of data to train the regression model and run the training pipeline
• use a subset of the data to train the classification model and run the training pipeline
• use the Azure Machine Learning designer to train a classification model
• use the Azure Machine Learning designer to train a clustering model
• use the Azure Machine Learning designer to train a regression model