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This eBook includes the following formats, accessible from your Account page after purchase:
EPUB The open industry format known for its reflowable content and usability on supported mobile devices.
PDF The popular standard, used most often with the free Acrobat® Reader® software.
This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.
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:
This Microsoft Exam Ref:
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
Follow the instructions to download this book's support material.
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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