Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning
Grant, Ginger, Fernandez, Guillermo, Torrenteras, Javier, Granados, Julio, Gonzalez, Paco, Sempere, Pau, Francisquez, Tamanaco
| Autor: | Fernandez, Guillermo Francisquez, Tamanaco Gonzalez, Paco Granados, Julio Grant, Ginger Sempere, Pau Torrenteras, Javier |
|---|---|
| Veröffentlichungsdatum: | 23.02.2018 |
| EAN: | 9781509307012 |
| Sprache: | Englisch |
| Seitenzahl: | 336 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Microsoft Press,U.S. |
Produktinformationen "Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning"
Prepare for Microsoft Exam 70-774-and help demonstrate your real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives:Prepare data for analysis in Azure Machine Learning and export from Azure Machine LearningDevelop machine learning modelsOperationalize and manage Azure Machine Learning ServicesUse other services for machine learning This Microsoft Exam Ref:Organizes its coverage by exam objectivesFeatures strategic, what-if scenarios to challenge youAssumes you are familiar with Azure data services, machine learning concepts, and common data science processes About the Exam Exam 70-774 focuses on skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data's behavior; develop models and identify optimal algorithms; train, validate, deploy, manage, and consume Azure Machine Learning Models; and leverage related services and APIs. About Microsoft Certification Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft R earns your MCSA: Machine Learning certifiï¿¿cation, demonstrating your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services. See full details at: microsoft.com/learning
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