AWS Machine Learning Blog

SEPTEMBER 4, 2024

DevOps engineers often use Kubernetes to manage and scale ML applications, but before an ML model is available, it must be trained and evaluated and, if the quality of the obtained model is satisfactory, uploaded to a model registry. SageMaker simplifies the process of managing dependencies, container images, auto scaling, and monitoring.

DevOps 95

DevOps ML Engineer Metadata ML 95

The MLOps Blog

JANUARY 23, 2023

Machine Learning Operations (MLOps): Overview, Definition, and Architecture” By Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl Great stuff. If you haven’t read it yet, definitely do so. Lived through the DevOps revolution. If you’d like a TLDR, here it is: MLOps is an extension of DevOps. Some are my 3–4 year bets.

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

AWS Machine Learning Blog

JUNE 11, 2024

Amazon ECS configuration For Amazon ECS, create a task definition that references your custom Docker image. dkr.ecr.amazonaws.com/ : ", "essential": true, "name": "training-container", } ] } This definition sets up a task with the necessary configuration to run your containerized application in Amazon ECS. neuronx-py310-sdk2.18.2-ubuntu20.04

Deep Learning 115

Deep Learning ML Automation Auto-complete 115

AWS Machine Learning Blog

MAY 16, 2024

Problem definition Traditionally, the recommendation service was mainly provided by identifying the relationship between products and providing products that were highly relevant to the product selected by the customer. When training is complete (through the Lambda step), the deployed model is updated to the SageMaker endpoint.

Deep Learning 112

Deep Learning Auto-complete Algorithm ML 112

AWS Machine Learning Blog

NOVEMBER 9, 2023

Create a KMS key in the dev account and give access to the prod account Complete the following steps to create a KMS key in the dev account: On the AWS KMS console, choose Customer managed keys in the navigation pane. Under Advanced Project Options , for Definition , select Pipeline script from SCM. Choose Create key. Choose Save.

Data Drift 118

Data Drift Auto-complete ML Automation 118