Kubeflow for Machine Learning

Kubeflow for Machine Learning

Explore the world of Kubeflow and its impact on machine learning in this insightful GOTO Book Club interview. Join Holden Karau, open source engineer at Netflix and co-author of "Kubeflow for Machine Learning," and Adi Polak, VP of Developer Experience at Treeverse, as they discuss how Kubeflow provides improved tooling for ML workflows. Delve into the book's key concepts and expand your knowledge to include related technologies like Ray and Dask. Gain valuable insights into distributed computing, scaling Python, and the evolving landscape of machine learning tools and techniques. Perfect for data scientists, ML engineers, and anyone interested in advancing their understanding of modern ML infrastructure and practices.