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SageMaker

Deploying SageMaker Endpoints With CloudFormation | by Ram Vegiraju | Aug, 2022

Infrastructure As Code With SageMakerImage from Unsplash by Abraham BarreraIn the past I’ve worked with SageMaker Deployment through Jupyter Notebooks and Python scripts. This is completely fine, but often times in the scope of a larger applications, you need to be able to define your SageMaker resources with the rest of your infrastructure in a central template. This brings in the idea of Infrastructure as Code, which then brings in AWS CloudFormation. When it comes to productionizing applications it’s essential to be…

How to beat SageMaker DeepAR with Random Forest | by Dor Meir | Aug, 2022

Improve your KPI by 15% with 3X faster, free & interpretable modelPhoto by Victoire Joncheray on UnsplashIf you’re reading this article, you either consider using the Amazon SageMaker DeepAR algorithm for your multiple time series dataset, or you’re already “stuck” with one — and are not sure how to improve it any further.How your dataset probably looks like. Airtable (data by the author)Before delving into the neety grity technicals, you should contemplate on these:DeepAR prosNo Data Science expertise needed — If you…

Debugging SageMaker Endpoints Quickly With Local Mode | by Ram Vegiraju | Aug, 2022

Stop Waiting For Your Endpoints To CreateImage from Unsplash by Ben WhiteFor frequent users of SageMaker Inference a common frustration is being able to debug endpoints quickly. Often times with SageMaker Endpoints you end up with a custom inference script that helps you control the pre and post processing of your model.Initially when I first started with SageMaker I would re-deploy the endpoint every time I had to make a change to the inference script. This would be time consuming as I’d wait 2–3 minutes without…

How to Schedule Jupyter Notebooks In Amazon SageMaker | by Rhys Kilian | Jul, 2022

A step-by-step guide to regularly running Jupyter Notebooks using AWS servicesPhoto by Towfiqu barbhuiya on UnsplashYour manager asks, “Can you rerun this analysis for me next week?”. No worries: you set a reminder to rerun it manually.The following week comes, and you rerun the analysis. This time your manager says, “This is great. Can you send it to me weekly?” That’s annoying. You don’t like the idea of opening your Jupyter Notebook, running it, and saving the results to S3 weekly. It’s time-consuming, and you’ve got…