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Viser: Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning
Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning
Paco Gonzalez, Guillermo Fernàndez, Tamanaco Francìsquez, Julio Granados, Ginger Grant, Pau Sempere og Javier Torrenteras
(2018)
Sprog: Engelsk
om ca. 15 hverdage
Detaljer om varen
- Paperback: 336 sider
- Udgiver: Pearson Education (Februar 2018)
- Forfattere: Paco Gonzalez, Guillermo Fernàndez, Tamanaco Francìsquez, Julio Granados, Ginger Grant, Pau Sempere og Javier Torrenteras
- ISBN: 9781509307012
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 Learning
- Develop machine learning models
- Operationalize and manage Azure Machine Learning Services
- Use other services for machine learning
This Microsoft Exam Ref:
- Organizes its coverage by exam objectives
- Features strategic, what-if scenarios to challenge you
- Assumes 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 certifi¿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
Chapter 1 Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning Skill
1.1: Import and export data to and from Azure Machine Learning Skill
1.2: Explore and summarize data Skill
1.3: Cleanse data for Azure Machine Learning Skill
1.4 Perform feature engineering
Chapter 2 Develop machine learning models Skill
2.1: Select an appropriate algorithm or method Skill
2.2: Initialize and train appropriate models Skill
2.3: Validate models
Chapter 3 Operationalize and manage Azure Machine Learning Services Skill
3.1: Deploy models using Azure Machine Learning Skill
3.2: Manage Azure Machine Learning projects and workspaces Skill
3.3: Consume Azure Machine Learning models Skill
3.4: Consume exemplar Cognitive Services APIs
Chapter 4 Use other services for machine learning Skill
4.1: Build and use neural networks with the Microsoft Cognitive Toolkit Skill
4.2: Streamline development by using existing resources Skill
4.3: Perform data science at scale by using HDInsight Skill
4.4: Perform database analytics by using SQL Server R Services on Azure
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