David Arpin offers an overview of the Amazon SageMaker machine learning platform, walking you through setup and using Amazon SageMaker Notebook (a hosted Jupyter Notebook server). You’ll get hands-on experience with SageMaker’s built-in deep learning algorithm as you dive into building your own neural network architecture using SageMaker’s prebuilt TensorFlow containers.
David Arpin is a product manager and data scientist at AWS. He works closely with the teams that develop built-in algorithms and deep learning frameworks for Amazon SageMaker. He also actively contributes to, and helps maintain, the SageMaker examples GitHub repository (https://github.com/awslabs/amazon-sagemaker-examples). Prior to that he led a data science team in Fulfillment By Amazon, and worked at two beer companies, and a large grocery retailer.
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