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| Section | Objectives |
|---|---|
| Topic 1: Develop Machine Learning Models | - Validate models - Select appropriate algorithm/method - Initialize and train models |
| Topic 2: Operationalize and Manage Azure Machine Learning Services | - Consume related Cognitive Services APIs - Consume ML models - Manage ML projects and workspaces - Deploy models using Azure ML |
| Topic 3: Prepare Data for Analysis in Azure Machine Learning | - Perform feature engineering - Cleanse data for Azure ML - Import and export data to/from Azure ML - Explore and summarize data |
| Topic 4: 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 |
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