Meetup #11 will take place on Friday, May 15, 2020 19:00 CET and will most likely be virtual again (we will share the zoom link here and on the meetup event page).
This time, we’re excited to look at software built with Go. Our main topic will be the cloud native machine learning toolkit: kubeflow.
Kubeflow - A follow up
Leveraging Kubernetes for Data Science purposes is still a burden for many users these days. The integration of large infrastructures into Data Science workflows seems not quite solved.
In this talk Sascha and Markus will follow-up on their previous blog post “Kubeflow: Data Science on Steroids”. They will check-out what has changed in the past year and how certain features have evolved in Kubeflow. To do so they will revisit possible deployment variants of Kubeflow and look under the hood of the application stack to explore why choosing Kubernetes for Data Science is a great idea.
On top of that they will demonstrate advanced topics like hyperparameter tuning with Katib and Tensorflow model serving.
Interested and want to hear more? Join the Meetup!