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How Accenture is using Amazon CodeWhisperer to improve developer productivity

AWS Machine Learning

CodeWhisperer is powered by a Large Language Model (LLM) that is trained on billions of lines of code, and as a result, has learned how to write code in 15 programming languages. They were able to create a preprocessing data class just by typing “class to create preprocessing script for ML data.”

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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

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.

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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

Create a healthcare folder in the bucket you named via your AWS CDK script. He has over 8 years of industry experience from startups to large-scale enterprises, from IoT Research Engineer, Data Scientist, to Data & AI Architect. Then upload flow-healthcarediabetesunclean.csv to the folder and let the automation happen!

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Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning

This post showcases how to have a repeatable process with low-code tools like Amazon SageMaker Autopilot such that it can be seamlessly integrated into your environment, so you don’t have to orchestrate this end-to-end workflow on your own. You can also add your own Python scripts and transformations to customize workflows.