AWS Machine Learning

JANUARY 5, 2024

Wipro further accelerated their ML model journey by implementing Wipro’s code accelerators and snippets to expedite feature engineering, model training, model deployment, and pipeline creation. Across accounts, automate deployment using export and import dataset, data source, and analysis API calls provided by QuickSight.

Management 114

Management APIs Engineering Government 114

AWS Machine Learning

FEBRUARY 13, 2023

Our solution describes an AWS DeepRacer environment configuration using the AWS CDK to accelerate the journey of users experimenting with SageMaker log analysis and reinforcement learning on AWS for an AWS DeepRacer event. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account.

Scripts 77

Scripts Best practices Transportation Construction 77

AWS Machine Learning

NOVEMBER 1, 2022

According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. However, a lot of these processes are still currently done manually by a data engineer or analyst who analyzes the data using these tools.

Engineering 94

Engineering APIs Accountability industry solution 94

AWS Machine Learning

JUNE 14, 2023

You can integrate a Data Wrangler data preparation flow into your ML workflows to simplify and streamline data preprocessing and feature engineering using little to no coding. You can also add your own Python scripts and transformations to customize workflows. A Studio domain managed policy attached to the IAM execution role.

Best practices 81

Best practices Scripts Education Engineering 81