Azure AI Fundamentals: Authoring with the Azure ML Studio Designer

Azure 2020    |    Beginner
  • 11 Videos | 1h 14m 46s
  • Includes Assessment
  • Earns a Badge
The Azure Machine Learning Studio provides a proficient designer that can be used to build machine learning pipelines. In this course, you'll explore Azure ML Studio Designer and practice using its features for managing, normalizing, and transforming data for use in regression, classification, and clustering models. You'll also learn how to select features from a dataset and create datasets for training and validating models within Studio Designer. By the end of the course, you'll be able to use datasets, add transformations, normalize and clean data, split datasets, and configure and use a number of models, all within Azure ML Studio Designer. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    create and use a dataset component in Azure ML Designer
    select features from a dataset in ML Designer
    add data transformations to prepare data in ML Designer
    add normalizing and cleaning components for data in ML Designer
    view the output from different normalized and transformed datasets in Azure ML Designer
  • split a dataset into a testing and evaluation set for model training and evaluation using Azure ML Designer
    add and use a regression training model in ML Designer
    configure and use a classification model in ML Designer
    use a clustering model in ML Designer
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    56s
    UP NEXT
  • Playable
    2. 
    Creating and Using a Dataset in Azure ML Designer
    4m 56s
  • Locked
    3. 
    Selecting Dataset Features in Azure ML Designer
    7m 15s
  • Locked
    4. 
    Adding Data Transformations in Azure ML Designer
    5m 37s
  • Locked
    5. 
    Normalizing and Cleaning Data in Azure ML Designer
    7m 45s
  • Locked
    6. 
    Viewing Normalized & Transformed Data in ML Designer
    6m 17s
  • Locked
    7. 
    Splitting a Dataset for Testing and Evaluation
    5m 27s
  • Locked
    8. 
    Using a Regression Model in Azure ML Designer
    8m 40s
  • Locked
    9. 
    Using a Classification Model in Azure ML Designer
    12m 35s
  • Locked
    10. 
    Using a Clustering Model in Azure ML Designer
    10m 3s
  • Locked
    11. 
    Course Summary
    46s

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