Deepdive on Amazon SageMaker and AWS re:Invent New Features (Level 300)
Machine Learning (ML) development can be complex, expensive, and difficult without integrated tools for the entire ML workflow. Amazon SageMaker provides the first fully integrated development environment (IDE) for ML, which unifies all the tools needed for ML development in a single, web-based visual interface, providing built-in algorithms, automatic machine learning, open source models, pre-built solutions, and major Deep Learning frameworks including MXNet, PyTorch and TensorFlow. Developers can write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface, which significantly boosts developer productivity.
SageMaker gives you complete access, control, and visibility into each step required to build, train, and deploy models. Developers can quickly upload data, create Jupyter Notebooks, train and tune models, move back and forth between steps to adjust experiments, compare results, and deploy models to production all in one place, making you much more productive.In this session, we will explain how it works, including a demo and SageMaker updates from re:Invent 2020.
Speaker:Belton Kwong, Solutions Architect, AWS
