MLOps on AWS

1

Amazon SageMaker

ML services: AWS provides managed services and resources (Amazon SageMaker suite, for example) to enable users to label data and build, train, deploy, and operate ML models.

#Data Science And Machine Learning #Data Science Tools #Machine Learning 35 social mentions

2

Amazon S3

A data platform like Amazon Simple Storage Service (Amazon S3) to store your datasets.

#Cloud Hosting #Object Storage #Cloud Storage 170 social mentions

3

Amazon Rekognition

AI services: They are a fully managed set of services that enables users to quickly add ML capabilities to workloads using API calls. E.g: Amazon Rekognition and Amazon Comprehend.

#Image Analysis #Machine Learning #Data Dashboard 33 social mentions

4

Amazon QuickSight

#Business Intelligence #Data Dashboard #Machine Data Analytics 17 social mentions

5

AWS Lambda

#Cloud Computing #Cloud Hosting #Backend As A Service 244 social mentions

6

AWS Glue

#Data Integration #ETL #Data Workflow 13 social mentions

7

Amazon Comprehend

#Spreadsheets #NLP And Text Analytics #Natural Language Processing 19 social mentions

8

Amazon Athena

#Data Analysis #ETL #Business Intelligence 20 social mentions