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Create Machine Learning Models in Minutes Using AutoML - AWS Online Tech Talks

AWS Developers 4,376 4 years ago
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Automatic machine learning, known as AutoML, removes the tedious, iterative, and time-consuming work across the machine learning (ML) workflow from data acquisition to model operationalization, so you can spend less time on low level details and more time on using ML to improve business outcomes. AutoML tools take care of sourcing and preparing data, engineering features, training and tuning models, deploying models, and ongoing model monitoring and updating. Amazon SageMaker offers several features for AutoML so you can create ML models in minutes not months. In this tech talk we show you how you can use SageMaker to automatically build, train, and tune the best ML model based on the data you provide, and deploy models readily with just a few clicks. Join us to remove the undifferentiated heavy lifting from ML. Learning Objectives: *Discover how AutoML automates each step of the ML workflow so that it’s easier to use machine learning *Learn how you can use Amazon SageMaker Autopilot to automatically build, train, and tune the best machine learning models based on your data, while allowing you to maintain full control and visibility *Understand how to use Amazon SageMaker Studio for AutoML ***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/autopilot Subscribe to AWS Online Tech Talks On AWS: https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1 Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch: https://twitch.tv/aws Twitter: https://twitter.com/awsdevelopers Facebook: https://facebook.com/amazonwebservices Instagram: https://instagram.com/amazonwebservices ☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS. #AWS

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