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Perform Cloud Data Science with Azure Machine Learning (MOC-20774)

MOC-20774 (5 Days)
4.50 out of 5 (4 reviews)  

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Cloud Data Science with Azure Training Overview

This Microsoft Course 20774, Perform Cloud Data Science with Azure Machine Learning training, teaches attendees how to analyze and present data by using Azure Machine Learning. Students learn how to use big data tools such as HDInsight and R Services to facilitate machine learning.

Location and Pricing

Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

Cloud Data Science with Azure Training Objectives

All students will learn to:

  • Explain machine learning and how algorithms and languages are used
  • Describe the purpose of Azure Machine Learning and list the main features of Azure Machine Learning Studio
  • Upload and explore various types of data to Azure Machine Learning
  • Explore and use techniques to prepare datasets ready for use with Azure Machine Learning
  • Explore and use feature engineering and selection techniques on datasets that are to be used with Azure Machine Learning
  • Work with regression algorithms and neural networks with Azure Machine Learning
  • Classify and cluster algorithms with Azure Machine Learning
  • Use R and Python with Azure Machine Learning and choose when to use a particular language
  • Use hyper parameters and multiple algorithms and models and be able to score and evaluate models
  • Provide end-users with Azure Machine Learning services and how to share data generated from Azure Machine Learning models
  • Use the Cognitive Services APIs for text and image processing, create a recommendation application and describe the use of neural networks with Azure Machine Learning
  • Use HDInsight with Azure Machine Learning
  • Explore and use R and R Server with Azure Machine Learning and explain how to deploy and configure SQL Server to support R services

Cloud Data Science with Azure Training Outline

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Introduction to Machine Learning
  • What is machine learning?
  • Introduction to machine learning algorithms
  • Introduction to machine learning languages
Introduction to Azure Machine Learning
  • Azure machine learning overview
  • Introduction to Azure machine learning studio
  • Developing and hosting Azure machine learning applications
Managing Datasets
  • Categorizing your data
  • Importing data to Azure machine learning
  • Exploring and transforming data in Azure machine learning
Preparing Data for use with Azure Machine Learning
  • Data pre-processing
  • Handling incomplete datasets
Using Feature Engineering and Selection
  • Using feature engineering
  • Using feature selection
Building Azure Machine Learning Models
  • Azure machine learning workflows
  • Scoring and evaluating models
  • Using regression algorithms
  • Using neural networks
Using Classification and Clustering with Azure machine learning models
  • Using classification algorithms
  • Clustering techniques
  • Selecting algorithms
Using R and Python with Azure Machine Learning
  • Using R
  • Using Python
  • Incorporating R and Python into Machine Learning experiments
Initializing and Optimizing Machine Learning Models
  • Using hyper-parameters
  • Using multiple algorithms and models
  • Scoring and evaluating Models
Using Azure Machine Learning Models
  • Deploying and publishing models
  • Consuming Experiments
Using Cognitive Services
  • Cognitive services overview
  • Processing language
  • Processing images and video
  • Recommending products
Using Machine Learning with HDInsight
  • Introduction to HDInsight
  • HDInsight cluster types
  • HDInsight and machine learning models
Using R Services with Machine Learning
  • R and R server overview
  • Using R server with machine learning
  • Using R with SQL Server
Conclusion
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Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

MOC-20774

Duration:

5 Days

Prerequisites:

In addition to their professional experience, students who attend this course should have:

  • Programming experience using R and familiarity with common R packages
  • Knowledge of common statistical methods and data analysis best practices
  • Basic knowledge of the Microsoft Windows operating system and its core functionality
  • Working knowledge of relational databases

Training Materials:

All Microsoft training students receive Microsoft official courseware.

Software Requirements:

Attendees will not need to install any software on their computer for this class. The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser with a stable Internet connection. Any recent version of Internet Explorer, Mozilla Firefox, or Google Chrome will be fine.

When you call us about purchasing this class, we will provide a live demo of the online lab environment so that you may explore the web browser interface in more detail.

For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor's screen simultaneously with working on their own.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

Contact Us

Toll-free in US/Canada:
877 849 1850
International:
+1 678 648 3113

Toll-free in US/Canada:
866 566 1228
International:
+1 404 420 2491

925B Peachtree Street, NE
PMB 378
Atlanta, GA 30309-3918
USA

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