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[Webinar]Kubeflow, TensorFlow, TFX, PyTorch, GPU, Spark ML, AmazonSageMaker

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Event description
[Webinar] Kubeflow, TFX, Airflow, GPU, MLflow, Spark ML, TensorFlow AI, Kubernetes, Kafka, Scikit-Learn, XGBoost, Amazon SageMaker

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Title

[Webinar] Kubeflow, TensorFlow Extended (TFX), Airflow, GPU, MLflow, Spark ML, TensorFlow AI, Kubernetes, Kafka, Scikit-Learn, XGBoost, Amazon SageMaker

Description

Hands-on Learning with PipelineAI using Kubeflow, TensorFlow Extended (TFX), Airflow, GPU, MLflow, Spark ML, TensorFlow AI, Kubernetes, SageMaker, Kafka, Scikit-Learn, XGBoost, Amazon SageMaker

Speaker Bio

Chris Fregly is a Developer Advocate for AI and Machine Learning at Amazon Web Services (AWS) based in San Francisco, California. He is co-author of the O'Reilly Book, "Data Science on AWS. Chris is also the Founder of many AI-focused global meetups including the global "Data Science on AWS" Meetup. He regularly speaks at AI and Machine Learning conferences across the world including O’Reilly AI, Open Data Science Conference (ODSC), and Nvidia GPU Technology Conference (GTC). Previously, Chris was Founder at PipelineAI where he worked with many AI-first startups and enterprises to continuously deploy ML/AI Pipelines using Spark ML, Kubernetes, TensorFlow, Kubeflow, Amazon EKS, and Amazon SageMaker.

Antje Barth is a Developer Advocate for AI and Machine Learning at Amazon Web Services (AWS) based in Düsseldorf, Germany. She is co-author of the O'Reilly Book, "Data Science on AWS." Antje is also co-founder of the Düsseldorf chapter of Women in Big Data. She frequently speaks at AI and Machine Learning conferences and meetups around the world, including the O’Reilly AI and Strata conferences. Besides ML/AI, Antje is passionate about helping developers leverage Big Data, container and Kubernetes platforms in the context of AI and Machine Learning. Previously, Antje worked in technical evangelism and solutions engineering at MapR and Cisco where she worked with many companies to build and deploy cloud-based AI solutions using AWS and Kubernetes.

Date/Time

9-10am US Pacific Time (Third Monday of Every Month)

Meetup

https://meetup.datascienceonaws.com

Zoom

https://us02web.zoom.us/j/82308186562

Additional Full Day Workshop

https://www.eventbrite.com/e/full-day-workshop-kubeflow-gpu-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-tickets-63362929227

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

Monthly Workshop:  https://www.eventbrite.com/e/full-day-workshop-kubeflow-gpu-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-tickets-63362929227

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Organizer Chris Fregly

Organizer of [Webinar]Kubeflow, TensorFlow, TFX, PyTorch, GPU, Spark ML, AmazonSageMaker

Chris Fregly is a Developer Advocate for Amazon Web Services (AWS) focused on AI and Machine Learning.  Based in San Francisco, he regularly speaks at AI and ML conferences across the globe.  Previously, Chris was Founder at PipelineAI, Solutions Engineer at Databricks, and Software Engineer at Netflix.

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