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Virtual Event
November 17–November 20, 2020
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Friday, November 20 • 3:10pm - 4:35pm
Tutorial: From Notebook to Kubeflow Pipelines to KFServing: the Data Science Odyssey - Karl Weinmeister, Google & Stefano Fioravanzo, Arrikto

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A hands-on lab driven tutorial to show Data Scientists and ML Engineers alike how to turbocharge your Kubeflow efforts. In this session you will learn how to quickly build, tune, and execute complex Kubeflow workflows - as well as how to work faster using Kale to automate much of your work. Learn how to rapidly automate Kubeflow: - Deploy a Jupyter Notebook as a Kubeflow pipeline using Kale - Optimize your model training using Katib for hyperparameter tuning - Serve your model with KFServing - Run thousands of runs with caching and garbage collection - Track and reproduce pipeline steps along with their state and artifacts Data Scientists benefit from an intuitive GUI that automates and hides all of the underlying infrastructure and SDK requirements. ML Engineers can use the reproducible, automated workflows as a scaffold to quickly move to even more advanced tuning and model building.
Speakers
avatar for Karl Weinmeister

Karl Weinmeister

Cloud AI Advocacy Manager, Google
Karl Weinmeister is a Cloud AI Advocacy Manager at Google, where he leads a team of data science experts who develop content and engage with communities worldwide. Karl has worked extensively in machine learning and cloud technologies. He was a contributor to one of the first AI-based... Read More →
avatar for Stefano Fioravanzo

Stefano Fioravanzo

Software Engineer - Kale Team Lead, Arrikto
Stefano Fioravanzo is a Software Engineer at Arrikto, his background is in Data Science and ML Research. He understands the value of building robust Machine Learning infrastructure and providing Data Scientists with the necessary tools to scale up their workflows. He is the creator... Read More →

Tutorial From Notebook to Kubeflow Pipelines to KFServing the Data Science Odyssey pdf
Text Transcript HGKD 8449 txt
Friday November 20, 2020 3:10pm - 4:35pm EST
Intrado Virtual Event Platform
  Tutorials, Machine Learning & Data