amazon sagemaker pipelines
Preparing training data is a critical step in machine learning. Preparing data involves creating labelled data, creating features, visualizing the features, and processing the data so it can be made available for training. In this session, learn how to use…
Machine learning workflows are hard to build because you need to create hundreds of code packages for data preparation, model training and deployment, and stitch them together so they run as a sequence of steps. In this session, learn about…