Explore Kubeflow for machine learning in this GOTO 2022 conference talk featuring Holden Karau and Adi Polak. Dive into the workings of Kubeflow, its book structure, and comparisons with Ray and Dask for scaling Python. Discover the pluggable architecture, API comparisons with Apache Spark, and insights on writing multiple technical books simultaneously. Learn about functional programming for children and discuss pain points in data infrastructure. Gain valuable knowledge on machine learning tools, distributed computing, and cloud-native technologies from industry experts in this comprehensive discussion.
Overview
Syllabus
Intro
How does Kubeflow work?
Structure of the book
Scaling Python with Dask / Scaling Python with Ray
API Comparison: Ray and Dask vs Apache Spark
Pluggable architecture
How to write three books in parallel?
Functional programming for kids
Pain points in data infrastructure
Outro
Taught by
GOTO Conferences
