Accelerating Machine Learning DevOps with Kubeflow • Derek Ferguson • GOTO 2019
This presentation was recorded at GOTO Chicago 2019. #GOTOcon #GOTOchgo
http://gotochgo.com
Derek Ferguson – Head of Engineering at JP Morgan Chase
ABSTRACT
Kubeflow is an exciting new technology for enabling data scientists and software engineers to move their models smoothly from development through training and into Production with the same ease that we have come to expect from DevOps technologies on other platforms.
In this session, Derek Ferguson, Head of Engineering for JP Morgan Chase’s Commercial Bank, will provide a quick tour of this exciting new technology and impart the skills needed to get your machine learning tasks up-and-running on the Kubernetes cluster […]
Download slides and read the full abstract here:
https://gotochgo.com/2019/sessions/837
RECOMMENDED BOOKS
Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • https://amzn.to/3JVngcx
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0x
Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • https://amzn.to/3m9HNjP
Aurélien Géron • Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow • https://amzn.to/2XZaQy8
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