SageMaker Tutorial | AutoML with Amazon SageMaker AutoPilot

Опубликовано: 04 Сентябрь 2024
на канале: Cloud Guru

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SageMaker Autopilot is a service which automatically, builds, trains and tunes models based on data.
It reduces valuable EDA time and helps us save time and scale.

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Today we are going to use the public dataset from UCI.
Where, The data is related with direct marketing campaigns of a Portuguese
banking institution. The classification goal is to predict if the client will
subscribe a term deposit.

-- Key Takeaways
The key takeaways from our session are:
a) Use Autopilot to save Exploratory Data Analysis Time
b) Develop a comprehensive report / especially for sensitive type of data
c) Easy to maintain, scalable ML pipelines

Amazon SageMaker Autopilot eliminates the heavy lifting of building machine learning (ML) models. In this video, you'll discover how you can use SageMaker Autopilot to automatically build, train, and tune the best ML models based on your data, while maintaining full control and visibility,

Learn more about Amazon SageMaker Autopilot: https://go.aws/3dQuIet

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