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RSVP Webinar: (https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154) **Talk #0: Introductions and Meetup Announcements** By Chris Fregly and Antje Barth, Principal Developer Advocates, AI and machine learning @ AWS **Talk #1: TBD** **Talk #2: TBD** RSVP Webinar: (https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154) Zoom link: (https://us02web.zoom.us/j/82308186562) **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/)

RSVP Webinar: (https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154) **Talk #0: Introductions and Meetup Announcements** By Chris Fregly and Antje Barth, Principal Developer Advocates, AI and machine learning @ AWS **Talk #1: TBD** **Talk #2: TBD** RSVP Webinar: (https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154) Zoom link: (https://us02web.zoom.us/j/82308186562) **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/)

RSVP Webinar: https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154 Talk #0: Introductions and Meetup Announcements By Chris Fregly and Antje Barth Talk #1: Amazon EMR Serverless Speaker: Damon Cortesi, Principal Developer Advocate with Amazon Web Services Abstract: Amazon EMR Serverless is a new option in Amazon EMR that makes it easy and cost-effective for data engineers and analysts to run petabyte-scale […]