aws-solutions / maintaining-personalized-experiences-with-machine-learning
The Maintaining Personalized Experiences with Machine Learning solution provides an automated pipeline to maintain resources in Amazon Personalize. This pipeline allows you to keep up to date with your user’s most recent activity while sustaining and improving the relevance of recommendations
☆26Updated 6 months ago
Alternatives and similar repositories for maintaining-personalized-experiences-with-machine-learning
Users that are interested in maintaining-personalized-experiences-with-machine-learning are comparing it to the libraries listed below
Sorting:
- ☆74Updated last year
- The Automated Data Analytics on AWS solution provides an end-to-end data platform for ingesting, transforming, managing and querying data…☆89Updated 7 months ago
- ☆47Updated last year
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- AWS BikeNow Demo is a sample web application that demonstrates the breadth and depth of database, analytics, and AI/ML services on AWS.☆22Updated last year
- This solution helps you deploy Data Lake Infrastructure on AWS using CDK Pipelines.☆94Updated 2 years ago
- This solution helps you deploy ETL jobs on data lake using CDK Pipelines.☆68Updated 2 years ago
- MLOps Pipeline Using SageMaker & CDK, where models are from SageMaker built-in algorithms.☆27Updated last month
- aws-solutions-library-samples / guidance-for-natural-language-queries-of-relational-databases-on-awsDemonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangCh…☆63Updated 6 months ago
- SaaS Factory SaaS Microservices Workshop☆54Updated last month
- Design pattern for orchestrating an incremental data ingestion pipeline using AWS Step Functions from an on premise location into an Amaz…☆28Updated 5 years ago
- A solutions that automatically configures the AWS services necessary to easily capture, store, process, and deliver streaming data. This …☆93Updated 3 months ago
- The Generative AI Atlas is an organized repository designed for individuals seeking to explore the newest content released by AWS on Gene…☆16Updated 4 months ago
- Serverless app with CI/CD pipeline using AWS SAM and AWS CDK☆52Updated 10 months ago
- CDK Constructs library to aid in building Datalakes on AWS☆21Updated 2 years ago
- ☆26Updated 10 months ago
- A collection of examples built with AWS DataOps Development Kit (DDK)☆42Updated 2 weeks ago
- Build a custom user interface for more tailored, controlled, and consolidated interactions with Amazon Q business.☆47Updated 6 months ago
- Pre-built examples of Generative AI agents with Bedrock across multiple industries.☆41Updated last month
- A collection of samples, best practices and reference architectures for implementing SaaS applications on AWS for databases and data serv…☆48Updated last month
- Multi-Branch CI/CD Pipeline using CDK Pipelines.☆47Updated 2 years ago
- Bring your own data Labs: Build a serverless data pipeline based on your own data☆44Updated last year
- AI_ML_Workshops☆52Updated 4 years ago
- Custom visualization with AWS AppSync using Amazon Athena as a data source. Built with AWS Amplify CLI.☆34Updated 5 years ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated last year
- Sample code for the AWS Big Data Blog Post Building a scalable streaming data processor with Amazon Kinesis Data Streams on AWS Fargate☆37Updated last month
- ☆32Updated last year
- ☆158Updated last year
- ☆58Updated last month
- ☆54Updated last week