Simplifying dataset preparation with Amazon SageMaker Processing (October 2020)

Webinar organized by Data Science UA, 8/10/2020
https://data-science-ua.com/events/simplifying-dataset-preparation-with-amazon-sagemaker-processing-online-meetup/

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As ML practitioners know, transforming raw data into a dataset ready for training is hard work. Converting data to the format expected by the algorithm, splitting and shuffling data, handling outliers, filling missing values, engineering new features: the list goes on! Indeed, running, scaling, and keeping track of these processing jobs can quickly add lots of extra cost and complexity to any ML project. In this session, we’ll start with a quick introduction of Amazon SageMaker, a fully-managed and modular service for ML. Then, we’ll discuss SageMaker Processing, a capability that lets you easily run and your data processing workloads without having to worry about infrastructure at all. We’ll also talk about SageMaker Experiments, another capability that makes it easy for you to organize, and track ML jobs at any scale.

Видео Simplifying dataset preparation with Amazon SageMaker Processing (October 2020) канала Julien Simon