Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning, First Edition

Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning, First Edition

by Ginger Grant, Julio Granados, Guillermo Fernandez, Pau Sempere, Javier Torrenteras, Paco Gonzalez, Tamanaco Francisquez
Released February 2018
Publisher(s): Microsoft Press
ISBN: 9780134849690

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Book description

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 certification, 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

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Contents at a glance
  5. Contents
  6. Introduction
    1. Organization of this book
    2. Microsoft certifications
    3. Acknowledgments
    4. Microsoft Virtual Academy
    5. Quick access to online references
    6. Errata, updates, & book support
    7. Stay in touch
  7. Preparing for the exam
  8. Chapter 1. Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning
    1. Skill 1.1: Import and export data to and from Azure Machine Learning
    2. Skill 1.2: Explore and summarize data
    3. Skill 1.3: Cleanse data for Azure Machine Learning
    4. Skill 1.4 Perform feature engineering
    5. Thought experiment
    6. Thought experiment answers
    7. Chapter summary
  9. Chapter 2. Develop machine learning models
    1. Skill 2.1: Select an appropriate algorithm or method
    2. Skill 2.2: Initialize and train appropriate models
    3. Skill 2.3: Validate models
    4. Thought experiment
    5. Thought experiment answers
    6. Chapter summary
  10. Chapter 3. Operationalize and manage Azure Machine Learning Services
    1. Skill 3.1: Deploy models using Azure Machine Learning
    2. Skill 3.2: Manage Azure Machine Learning projects and workspaces
    3. Skill 3.3: Consume Azure Machine Learning models
    4. Skill 3.4: Consume exemplar Cognitive Services APIs
    5. Thought experiment
    6. Thought experiment answers
    7. Chapter summary
  11. Chapter 4. Use other services for machine learning
    1. Skill 4.1: Build and use neural networks with the Microsoft Cognitive Toolkit
    2. Skill 4.2: Streamline development by using existing resources
    3. Skill 4.3: Perform data science at scale by using HDInsight
    4. Skill 4.4: Perform database analytics by using SQL Server R Services on Azure
    5. Thought experiment
    6. Thought experiment answers
    7. Chapter summary
  12. Index
  13. About the authors
  14. Code Snippets

Product information

  • Title: Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning, First Edition
  • Author(s): Ginger Grant, Julio Granados, Guillermo Fernandez, Pau Sempere, Javier Torrenteras, Paco Gonzalez, Tamanaco Francisquez
  • Release date: February 2018
  • Publisher(s): Microsoft Press
  • ISBN: 9780134849690