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Overview
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Explore the intersection of Kubeflow, Natural Language Processing (NLP), and Kubernetes in this 44-minute conference talk from YOW! 2018. Dive into the world of machine learning infrastructure as Senior Google Engineer Michelle Casbon explains how to leverage Kubernetes for deploying and scaling NLP architectures. Learn about the benefits of using Kubeflow to streamline machine learning workflows, and gain insights into best practices for building robust, scalable NLP systems on cloud-native platforms. Discover how these technologies can be combined to create powerful, efficient, and flexible machine learning pipelines for processing and analyzing natural language data at scale.
Syllabus
Kubeflow Explained: NLP Architectures on Kubernetes • Michelle Casbon • YOW! 2018
Taught by
GOTO Conferences