Towards AI

MARCH 14, 2024

All the way back in 2012, Harvard Business Review said that Data Science was the sexiest job of the 21st century and recently followed up with an updated version of their article. I mean, ML engineers often spend most of their time handling and understanding data. So, how is a data scientist different from an ML engineer?

Data Science 105

Data Science ML Engineer Data Scientist ML 105

AWS Machine Learning Blog

NOVEMBER 9, 2023

Policy 3 – Attach AWSLambda_FullAccess , which is an AWS managed policy that grants full access to Lambda, Lambda console features, and other related AWS services.

Data Drift 130

Data Drift Auto-complete ML Automation 130

AWS Machine Learning Blog

DECEMBER 4, 2024

This integration addresses these hurdles by providing data scientists and ML engineers with a comprehensive environment that supports the entire ML lifecycle, from development to deployment at scale. In this post, we walk you through the process of scaling your ML workloads using SageMaker Studio and SageMaker HyperPod.

ML 104

ML Data Scientist Software Engineer Large Language Models 104

AWS Machine Learning Blog

OCTOBER 17, 2024

Amazon SageMaker Studio is the latest web-based experience for running end-to-end machine learning (ML) workflows. SageMaker Studio offers a suite of integrated development environments (IDEs), which includes JupyterLab , Code Editor , as well as RStudio.

Data Science 124

Data Science ML Machine Learning Computer Vision 124

Flipboard

MARCH 7, 2023

There are also limited options for ad hoc script customization by users, such as data scientists or ML engineers, due to permissions of the user profile execution role. Depending on how many packages are installed and how large they are, the lifecycle script might even timeout.

Python 123

Python Data Scientist Data Science Automation 123

AWS Machine Learning Blog

AUGUST 31, 2023

For the AWS IAM policy configured with the correct credentials, make sure that you have permissions to create, edit, and delete model cards within Amazon SageMaker. For more information, refer to Configure the AWS CLI. aws sagemaker describe-model-card --model-card-name Now you can make changes to this model card from this account.

ML 127

ML Data Scientist Machine Learning Automation 127

AWS Machine Learning Blog

AUGUST 31, 2023

For the AWS IAM policy configured with the correct credentials, make sure that you have permissions to create, edit, and delete model cards within Amazon SageMaker. For more information, refer to Configure the AWS CLI. aws sagemaker describe-model-card --model-card-name Now you can make changes to this model card from this account.

ML 52

ML Data Scientist Machine Learning Automation 52