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SageMaker Friday episode 2 - Low Code Machine Learning - AWS Online Tech Talks
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Amazon SageMaker offers low-code options for each step of the ML lifecycle so you can build, train, and deploy high quality models faster. Data scientists, join us for a demo to see how data visualizations, pre-built models, and AutoML can accelerate your machine learning model delivery, so you can focus more on refining predictions and less on low level code.
Learning Objectives:
* Objective 1: Discover how to prepare data in minutes.
* Objective 2: Learn how to work with over 150 pre-built models.
* Objective 3: Use AutoML to training and tune models.
Follow Amazon Web Services:
☁️ 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
Learning Objectives:
* Objective 1: Discover how to prepare data in minutes.
* Objective 2: Learn how to work with over 150 pre-built models.
* Objective 3: Use AutoML to training and tune models.
Follow Amazon Web Services:
☁️ 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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SageMaker Friday episode 2 - Low Code Machine Learning - AWS Online Tech Talks
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