Channel: AWS Online Tech Talks

Category: Science & Technology

Tags: automlml model deploymentmodel tuningmodel trainingdeploy your ml modelmachine learningtrain an ml modelbuild an model modelml

Description: Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality ML models quickly by bringing together a broad set of capabilities purpose-built for ML. Data Scientists and Developers, join us as we walk through a hands-on demo to show you how to develop an ML model end-to-end using SageMaker. Learning Objectives: * Objective 1 - How to prepare data for machine learning. * Objective 2 - How to train and tune models. * Objective 3 - How to deploy models to make highly accurate predictions. ***To learn more about the services featured in this talk, please visit: aws.amazon.com/sagemaker/data-scientist