Using low-code machine learning (ML) tools, you can increase the speed and lower the cost of creating ML models. In this webinar, we will go over Amazon SageMaker low-code / no-code ML tools for data scientists that can help expedite all the ML workflow. We will then dive deep into how to do exploratory data analysis and feature engineering with a few clicks leveraging Amazon SageMaker Data Wrangler.
Learning Objectives:
* Objective 1: Explore low-code options for data preparation including 300 built-in data transformations
* Objective 2: Learn how to use pre-built ML solutions that you can deploy with just a few clicks
* Objective 3: Understand how to use AutoML to automatically explore different models to find the best one for your data
***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker 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
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☁️ 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: Explore low-code options for data preparation including 300 built-in data transformations
* Objective 2: Learn how to use pre-built ML solutions that you can deploy with just a few clicks
* Objective 3: Understand how to use AutoML to automatically explore different models to find the best one for your data
***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker 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
- Category
- AWS Developers
- Tags
- AutoML, low-code ML, machine learning

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