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Azure

Automated machine learning (AutoML)

Quickly build ML models at scale using the AutoML capability in Azure Machine Learning to automate tasks
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OVERVIEW

Easily build automated ML models

  • Create machine learning models quickly with no-code UI and SDKs, or customize models for more control.
  • Learn how to find the best classification model with automated machine learning.
  • Apply automated featurization techniques for data exploration and preprocessing to build accurate models.
  • Make informed, data-driven decisions and assess model performance using the responsible AI dashboard.
CUSTOMER STORIES

Customers using automated machine learning

  1. Kantar Logo
  2. IP LAND Logo
  3. Drone Express Logo
  4. 3M Logo
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Kantar Logo
“With Azure Machine Learning, we're bringing entirely new perspectives to our clients. That helps them generate accurate, unbiased insights and make better-informed decisions based on past customer behavior.”
Jennifer Chan, Head of Client Service for North America, Entertainment on Demand Business Unit, Worldpanel Division, Kantar Group
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IP LAND Logo
“In the field, image recognition now has an average recognition speed of eight seconds per image, and the processing time of any photo does not exceed 10 seconds—beating the 15-second goal by 33 percent.”
Oksana Koba, Deputy Director, IPLAND
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Drone Express Logo
“Using Azure has changed our perspective, not only on AI, but also on what we’re doing as an organization.”
Brandon Mabey, Chief Strategy Officer, Drone Express
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3M Logo
“As more of our groups rely on the Azure Machine Learning solution, our finance experts can focus more on higher-level tasks and spend less time on manual data collection and input.”
Jeff Neilson, Data Science Manager, 3M
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RESOURCES

Learn more about automated machine learning

  1.
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Building natural language models with AutoML

Watch the AI Show
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Building computer vision models in AutoML

Watch the AI Show
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