Aug 2023
7 Mon
8 Tue
9 Wed
10 Thu
11 Fri 09:00 AM – 07:00 PM IST
12 Sat
13 Sun
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Accepting submissions till 30 Jun 2023, 11:59 PM
Aug 2023
7 Mon
8 Tue
9 Wed
10 Thu
11 Fri 09:00 AM – 07:00 PM IST
12 Sat
13 Sun
Accepting submissions till 30 Jun 2023, 11:59 PM
Pinned update
Guidelines for speakers updated Guidelines for speaking at The Fifth Elephant are updated here more
There are three phases in the lifecycle of an application - research, application and aftermath of the application.
The three tracks at The Fifth Elephant 2023 annual conference will cover this lifecycle.
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Hosted by
Ayyanar Jeyakrishnan
@jayyanar
Submitted May 17, 2023
My Previous Session MLOps for Enterprise on Sagemaker
https://github.com/aws-data-usergroup-bangalore/sagemaker-mlops
Reference Architecture of MLOps for Enterprise:
https://drive.google.com/file/d/1Z3UbZiVgs6RpTWO9uT2pas5wS18Q3QE8/view
Playlist of Introduction Session:
https://www.youtube.com/playlist?list=PLh_VNk4-EHTOofHChpNXmzccaQqB6k76C
Abstract:
MLOps refers to the practices and tools utilized to manage and operationalize machine learning models at Enterprise scale.
The solution focuses on leveraging the capabilities of AWS SageMaker, a fully managed service that simplifies the end-to-end machine learning workflow. It starts by providing an introduction to MLOps, highlighting the challenges faced by enterprises when deploying and managing machine learning models in production environments.
Understand about below AWS Sagemaker Services - Datawrangler, Autopilot, Feature Store, Model Governance, Model Monitoring, Clarify, Sagemaker Endpoint.
Aug 2023
7 Mon
8 Tue
9 Wed
10 Thu
11 Fri 09:00 AM – 07:00 PM IST
12 Sat
13 Sun
Accepting submissions till 30 Jun 2023, 11:59 PM
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