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Machine Learning with Amazon SageMaker - Wed, April 10, 2019

Wednesday, April 10, 2019 | 1:30 - 5:00 PM | Elings Hall 1605 (map

In this tutorial, participants learn to solve Machine / Deep Learning problems using the tools available in the Amazon Web Services (AWS) cloud. The development and application of machine learning models is a vital part of scientific and technical computing. Increasing model training data size generally improves model prediction and performance, but deploying models at scale is a challenge. Participants will learn to use Amazon SageMaker, a new AWS service that simplifies the machine learning process and enables training on cloud stored datasets at any scale. This will be presented in-person by AWS representatives.

A beginner knowledge of machine learning is recommended. We will go over how SageMaker helps in training, building, and deploying machine learning models. Experience with using Jupyter notebooks helps but is not required.

If you are planning to attend this workshop, please review the following:


If you have any questions or concerns, please contact Sharon Solis swsolis@ucsb.edu.