AWS re:Invent 2019: Amazon SageMaker deep dive: A modular solution for machine learning (AIM307)
Published on Dec 07, 2019
Amazon SageMaker is a fully managed service that offers developers and data scientists the flexibility to build, train, and deploy machine learning models through modular capabilities. In this session, we dive deep into the technical details of each module so you understand how to label and prepare your data, choose an algorithm, train and optimize the model, and make predictions. We also discuss practical deployments of Amazon SageMaker through real-world customer examples.
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AWS re:Invent 2019: The right instance type in Amazon SageMaker, ft. Texas Instruments (AIM311-R1)
59:54
55:41
AWS re:Invent 2019: Amazon SageMaker deep dive: A modular solution for machine learning (AIM307)
55:41
50:37
AWS re:Invent 2019: Natural language modeling with Amazon SageMaker BlazingText algorithm (AIM375-P)
50:37