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. Wipro has used the input filter and join functionality of SageMaker batch transformation API.

Management 113

Management APIs Engineering Government 113

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. Choose Open Jupyter to start running the Python script for performing the log analysis.

Scripts 76

Scripts Best practices Transportation Construction 76

AWS Machine Learning

NOVEMBER 1, 2022

Now we have low-code and no-code tools like Amazon SageMaker Data Wrangler , AWS Glue DataBrew , and Amazon SageMaker Canvas to assist with data feature engineering. 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 93

Engineering APIs Accountability industry solution 93

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 80

Best practices Scripts Education Engineering 80