- Published 2/28/2018
- 1st Edition
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
Table of Contents
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
We've made every effort to ensure the accuracy of this book and its companion content. Any errors that have been confirmed since this book was published can be downloaded below.
Download the errata
If you find an error, you can report it to us through our Submit errata page.