Artificial Intelligence
Category: Amazon SageMaker
Configuring Amazon SageMaker Studio for teams and groups with complete resource isolation
October 2022: This post was reviewed and updated to include updates from Amazon SageMaker’s recently released SourceIdentity feature and renaming of AWS SSO to IAM Identity Center. Amazon SageMaker is a fully managed service that provides every machine learning (ML) developer and data scientist with the ability to build, train, and deploy ML models quickly. […]
Bringing your own custom container image to Amazon SageMaker Studio notebooks
June 2025: This post was reviewed and updated for accuracy. Amazon SageMaker AI Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker AI Studio lets data scientists spin up JupyterLab Space where you can leverage JupyterLab application to explore data, build models, launch Amazon SageMaker AI training jobs, and deploy […]
Deploying reinforcement learning in production using Ray and Amazon SageMaker
Reinforcement learning (RL) is used to automate decision-making in a variety of domains, including games, autoscaling, finance, robotics, recommendations, and supply chain. Launched at AWS re:Invent 2018, Amazon SageMaker RL helps you quickly build, train, and deploy policies learned by RL. Ray is an open-source distributed execution framework that makes it easy to scale your […]
Explaining Amazon SageMaker Autopilot models with SHAP
Machine learning (ML) models have long been considered black boxes because predictions from these models are hard to interpret. However, recently, several frameworks aiming at explaining ML models were proposed. Model interpretation can be divided into local and global explanations. A local explanation considers a single sample and answers questions like “Why does the model […]
Real-time data labeling pipeline for ML workflows using Amazon SageMaker Ground Truth
High-quality machine learning (ML) models depend on accurately labeled, high-quality training, validation, and test data. As ML and deep learning models are increasingly integrated into production environments, it’s becoming more important than ever to have customizable, real-time data labeling pipelines that can continuously receive and process unlabeled data. For example, you may want to create […]
Training and serving H2O models using Amazon SageMaker
Model training and serving steps are two essential pieces of a successful end-to-end machine learning (ML) pipeline. These two steps often require different software and hardware setups to provide the best mix for a production environment. Model training is optimized for a low-cost, feasible total run duration, scientific flexibility, and model interpretability objectives, whereas model […]
This month in AWS Machine Learning: October edition
Every day there is something new going on in the world of AWS Machine Learning—from launches to new to use cases to interactive trainings. We’re packaging some of the not-to-miss information from the ML Blog and beyond for easy perusing each month. Check back at the end of each month for the latest roundup. Launches […]
Optimizing costs for machine learning with Amazon SageMaker
Applications based on machine learning (ML) can provide tremendous business value. Using ML, we can solve some of the most complex engineering problems that previously were infeasible. One of the advantages of running ML on the AWS Cloud is that you can continually optimize your workloads and reduce your costs. In this post, we discuss […]
zomato digitizes menus using Amazon Textract and Amazon SageMaker
This post is co-written by Chiranjeev Ghai, ML Engineer at zomato. zomato is a global food-tech company based in India. Are you the kind of person who has very specific cravings? Maybe when the mood hits, you don’t want just any kind of Indian food—you want Chicken Chettinad with a side of paratha, and nothing […]
Bringing real-time machine learning-powered insights to rugby using Amazon SageMaker
The Guinness Six Nations Championship began in 1883 as the Home Nations Championship among England, Ireland, Scotland, and Wales, with the inclusion of France in 1910 and Italy in 2000. It is among the oldest surviving rugby traditions and one of the best-attended sporting events in the world. The COVID-19 outbreak disrupted the end of […]