Kubeflow for Machine Learning • Holden Karau & Adi Polak • GOTO 2022

Holden KarauThis interview was recorded for the GOTO Book Club. #GOTOcon #GOTObookclub Holden Karau - Co-Author of “Kubeflow for Machine Learning“ & Open Source Engineer at Netflix Adi Polak - VP of Developer Experience at Treeverse & Contributing to lakeFS OSS DESCRIPTION Machine Learning has been declared dead several times but that’s far from true. Join Adi Polak, vice president of developer experience at Treeverse, and Holden Karau, open source engineer at Netflix, in their conversation about Kubeflow and how it provides better tooling in the ML space. The discussion touches on Holden’s book “Kubeflow for Machine Learning” and expands to cover the worlds of Ray and Dask: TIMECODES 00:00 Intro 02:51 How does Kubeflow work? 07:04 Structure of the book 14:52 Scaling Python with Dask / Scaling Python with Ray 20:51 API Comparison: Ray and Dask vs Apache Spark 25:56 Pluggable architecture 28:44 How to write three books in parallel? 35:28 Functional progra