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| Section | Objectives |
|---|---|
| Topic 1: Use Other Services for Machine Learning | - Build/use neural networks (Microsoft Cognitive Toolkit) - Streamline development with existing resources - Perform data sciences at scale via HDInsight - Perform database analytics using SQL Server R Services |
| Topic 2: Prepare Data for Analysis in Azure Machine Learning | - Import and export data to/from Azure ML - Cleanse data for Azure ML - Explore and summarize data - Perform feature engineering |
| Topic 3: Operationalize and Manage Azure Machine Learning Services | - Deploy models using Azure ML - Consume related Cognitive Services APIs - Manage ML projects and workspaces - Consume ML models |
| Topic 4: Develop Machine Learning Models | - Validate models - Select appropriate algorithm/method - Initialize and train models |
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