Azure AI Fundamentals: Using Azure Machine Learning Designer

Azure 2024    |    Intermediate
  • 12 videos | 1h 4m 54s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Azure Machine Learning Studio and Designer provide powerful options for authoring machine learning (ML) models. In this course, you'll explore model authoring with Azure Machine Learning Designer, including how to work with datasets, select dataset features, and add data transformations. Then, you'll discover how to normalize data, view normalized data, and split datasets. Finally, you'll explore how to use regression, classification, and clustering models in Azure Machine Learning 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
    Provide an overview of azure machine learning designer and its features, including assets and pipelines
    Create and use dataset components in azure machine learning designer
    Select features from a dataset in azure machine learning designer
    Prepare data by adding data transformations in azure machine learning designer
    Add data normalizing and cleaning components in azure machine learning designer
  • View output from normalized and transformed datasets in azure machine learning designer
    Split datasets into testing and evaluation sets in preparation for model training and evaluation using azure machine learning designer
    Add and use regression training models in azure machine learning designer
    Configure and use classification models in azure machine learning designer
    Use clustering models in azure machine learning designer
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 55s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 5m 12s
    After completing this video, you will be able to provide an overview of Azure Machine Learning Designer and its features, including assets and pipelines. FREE ACCESS
  • Locked
    3.  Working with Datasets in Azure Machine Learning Designer
    6m 3s
    During this video, you will learn how to create and use dataset components in Azure Machine Learning Designer. FREE ACCESS
  • Locked
    4.  Selecting Dataset Features in Azure Machine Learning Designer
    5m 59s
    Find out how to select features from a dataset in Azure Machine Learning Designer. FREE ACCESS
  • Locked
    5.  Adding Data Transformations in Azure Machine Learning Designer
    6m 19s
    In this video, find out how to prepare data by adding data transformations in Azure Machine Learning Designer. FREE ACCESS
  • Locked
    6.  Normalizing Data in Azure Machine Learning Designer
    6m 15s
    In this video, discover how to add data normalizing and cleaning components in Azure Machine Learning Designer. FREE ACCESS
  • Locked
    7.  Viewing Normalized Data in Azure Machine Learning Designer
    7m 32s
    Learn how to view output from normalized and transformed datasets in Azure Machine Learning Designer. FREE ACCESS
  • Locked
    8.  Splitting Datasets in Azure Machine Learning Designer
    6m 20s
    Discover how to split datasets into testing and evaluation sets in preparation for model training and evaluation using Azure Machine Learning Designer. FREE ACCESS
  • Locked
    9.  Using Regression Models in Azure Machine Learning Designer
    7m 14s
    In this video, you will learn how to add and use regression training models in Azure Machine Learning Designer. FREE ACCESS
  • Locked
    10.  Using Classification Models in Azure Machine Learning Designer
    6m 21s
    In this video, find out how to configure and use classification models in Azure Machine Learning Designer. FREE ACCESS
  • Locked
    11.  Using Clustering Models in Azure Machine Learning Designer
    6m 2s
    During this video, discover how to use clustering models in Azure Machine Learning Designer. FREE ACCESS
  • Locked
    12.  Course Summary
    43s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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