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Build Optimal Models with Azure Automated ML

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Axel Sirota

1:15:25

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  • 01. Course Overview.mp4
    01:43
  • 01. What Is Auto ML-.mp4
    03:08
  • 02. Some Prerequisites for This Course.mp4
    02:41
  • 03. Demo- Using Our Model Created.mp4
    03:43
  • 04. Outline of the Course.mp4
    01:00
  • 01. What Is Auto ML Saving Us from Doing-.mp4
    06:33
  • 02. Demo- Exploring Azure Machine Learning Studio.mp4
    03:52
  • 03. Demo- Our First Auto ML Training.mp4
    05:37
  • 04. A Little Reminder of Validation and Test Sets.mp4
    02:47
  • 05. Demo- Performing Cross Validation on Our Auto ML Run.mp4
    05:41
  • 06. Key Takeaways and Tips.mp4
    01:34
  • 01. Introduction.mp4
    00:27
  • 02. Demo- Exploring Azure Machine Learning SDK.mp4
    06:10
  • 03. SDK vs. Machine Learning Studio.mp4
    02:53
  • 04. Demo- Our First Auto ML Run with the SDK.mp4
    05:28
  • 05. Feature Engineering in Machine Learning.mp4
    03:50
  • 06. Demo- Customizing Featurization on Our Auto ML Run.mp4
    05:04
  • 07. Demo- Interpreting Metrics and Charts.mp4
    05:08
  • 08. Key Takeaways and Tips.mp4
    01:16
  • 01. A Walkthrough of Our Journey.mp4
    00:42
  • 02. Are We out of Jobs with Auto ML-.mp4
    02:15
  • 03. Where to Continue.mp4
    02:21
  • 04. Closing Thoughts.mp4
    01:32
  • Description


    Regardless of if you have some hours or some years building models, Azures’s Automated Machine Learning has something to amaze you. This course will teach you how to use it to build the best Machine Learning model for your data in just a few clicks!

    What You'll Learn?


      Building Machine Learning models means iterating multiple times over the best features, the best architectures, the best algorithms, until you get a model that serves your business purpose. In this course, Build Optimal Models with Azure Automated ML, you’ll learn to create the best machine learning model for your own specific data in just a few clicks. First, you’ll explore what Auto ML really is. Next, you’ll discover how to create optimal models both from the UI as well as the SDK. Finally, you’ll learn how to improve our models with more advanced techniques Azure ML offers. When you’re finished with this course, you’ll have the skills and knowledge of Automated Machine Learning needed to build the best Machine Learning model for your data in just a few clicks!

    More details


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    Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 23
    • duration 1:15:25
    • level average
    • English subtitles has
    • Release Date 2024/02/13