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Data Science on AWS: Analytics and AI/ML with AWS Orbit Workbench and Snowflake
June 21, 2021 @ 12:00 pm - 1:00 pm EDT
Zoom link: https://us02web.zoom.us/j/82308186562
Talk #1: Intro and Meetup Updates (5 mins)
Talk #2: AWS Orbit Workbench – Open Source by Antje Barth, AI/ML Developer Advocate @ AWS (10 mins)
https://awslabs.github.io/aws-orbit-workbench/
Talk #3: Data science, engineering, and analytics with Snowflake on AWS by Ahmad Khan, Head of AI/ML Strategy @ Snowflake (45 mins)
– Intro
– Snowflake Overview
– Snowflake for Data Science
– ML Demo
– New Launches: Snowpark + Java UDFs
– Q&A
Ahmad is a Data Cloud Principal at Snowflake where he focuses on Data Science/Machine Learning workloads. Prior to Snowflake, Ahmad spent over 4 years at AWS where he focused on the AWS’ stack of ML services and was involved in early proof of concepts for SageMaker. Ahmad holds a Masters in Electrical & Computer Engineering from University of Southern California.
LinkedIn: https://www.linkedin.com/in/ahmadrazakhan/
References
===========
* SageMaker Data Wrangler + Snowflake
Blog Post here: https://aws.amazon.com/blogs/machine-learning/prepare-data-from-snowflake-for-machine-learning-with-amazon-sagemaker-data-wrangler/
Related Links
=============
O’Reilly Book: https://www.amazon.com/dp/1492079391/
Website: https://datascienceonaws.com
Meetup: https://meetup.datascienceonaws.com
GitHub Repo: https://github.com/data-science-on-aws/
YouTube: https://youtube.datascienceonaws.com
Slideshare: https://slideshare.datascienceonaws.com
Support: https://support.pipeline.ai
