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Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes
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- SQL/T-SQL
- Machine Learning models
- Python Languages.
- Data Science
- Cognitive Services/API
- HDinsights
- Algorithms for grouping unlabeled Data.
- Microsoft R Servers.
- Azure Machine Learning.
- Machine Learning Projects and workspace
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Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
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Microsoft 70-774 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Develop Machine Learning Models | 35% | - Select appropriate algorithms
|
| Topic 2: Prepare Data for Analysis in Azure Machine Learning | 30% | - Perform feature engineering
|
| Topic 3: Operationalize and Manage Azure Machine Learning Services | 25% | - Consume models and APIs
|
| Topic 4: Use Other Services for Machine Learning | 10% | - Work with Microsoft Cognitive Toolkit - Use SQL Server R Services - Leverage Cortana Intelligence Gallery - Integrate with HDInsight |
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