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Scaling machine learning (ML) for training and inference on Kubernetes can be time-consuming to set up and requires overhead ... Speakers: Shelbee Eigenbrode, Principal AI/ML Specialist Solutions Architect Shelbee Eigenbrode is a Principal AI and Machine ... This session is for data scientists and machine learning (ML) developers who want to get hands-on with their personalization ... Machine learning for every data scientist and developer. You can find all the slides here: This talk was part of the MDLI ops 2022 ... Advances in deep learning have led to use cases such as computer vision and natural language processing models, where ...
Developing a high-quality ML model involves many steps. We typically start with exploring and preparing our data. We experiment ... Managing compute instances to view, run, or share a notebook is tedious.
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AWS re:Invent 2020: Implementing MLOps practices with Amazon SageMaker
Implementing MLOps practices with Amazon SageMaker
AWS AMER Summit May 2021 | Implement MLOps practices with Amazon SageMaker
AWS re:Invent 2020: Scaling MLOps on Kubernetes with Amazon SageMaker Operators
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Last Updated: May 22, 2026
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