Interview
summary
Joined AWS as Technical Evangelist focused on machine learning and AI and describes creating scalable, open-source content from a developer-relations role that sits inside marketing. Offers a Python-based hands-on link for attendees, notes some Scala/Java in exercises, and emphasizes end-to-end pipelines with Kubeflow and TFX alongside Spark and streaming ML. Says Kubeflow is hitting an inflection point and calls for more practical data-science content at the conference.
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chapters (5)
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