In this presentation, Stefano Fioravanzo - original creator of Kale, will take you on a tour of the open source Kale project for Kubeflow. Kale enables you to deploy Jupyter Notebooks that are running on your laptop or in the cloud to Kubeflow Pipelines, without requiring any of the Kubeflow SDK boilerplate. You can define pipelines just by annotating Notebook’s code cells and clicking a deployment button in the Jupyter UI. Kale takes care of converting the Notebook to a valid Kubeflow Pipelines deployment, plus resolving data dependencies and managing the pipeline’s lifecycle. In this talk Stefano will also highlight the Kale SDK and AutoML.
Recorded on Oct 7, 2021 at the Data Science, Machine Learning,
MLOps and Kubeflow Meetup
#machinelearning #datascience #kubeflow #mlops