Beyond model development, training and deployment - Deep dive on Amazon SageMaker Model Monitoring (Level 200)

Unlike traditional software development, ML model development is an iterative process that requires the continuous monitoring of the deployed model’s input and output to ensure the optimum results. Join this session to learn the fundamentals of model monitoring with Amazon SageMaker. We cover how to detect the drift in your data and model, and share relevant steps to ensure your model quality in production. Download slides »
Speaker: Sahil Verma, Solutions Architect, AWS India
Duration: 30mins

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Train ML models quickly and cost-effectively with Amazon SageMaker (Level 200)
Train ML models quickly and cost-effectively with Amazon SageMaker (Level 200)

Training machine learning models at scale often requires significant investments. In this session, we show ...

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Deploying a Text to Image Model with Amazon SageMaker and Amazon Rekognition (Level 200)
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