Digest #2019.08.26 – Kubeflow basics, TensorFlow 2.0

  • Kubeflow for Poets – This article introduces the core concepts necessary to understand all of the moving pieces in a Kubeflow based machine learning Pipeline. It includes a brief introduction to microservices, Docker, Kubeflow, Kubernetes, virtualisation, Google cloud and more. Read this article for step-by-step low level interaction with every component in the toolchain, from dockerfiles to GKE.
  • TensorFlow 2.0 RC Available – Take advantage of the next wave of innovation for TensorFlow. The 2.0 release is a major milestone and brings a focus on ease of use and simplification. It comes with many features to support this focus – eager execution, tighter Keras integration, loadable TF-Hub models, end-to-end ML pipelines with TFX, and much more.
  • How AI Is Changing The Game For Recruiting – In this use case spotlight, we review how machine learning toolkits like Kubeflow and AI are changing the recruiting industry. Talent acquisition is expensive, and getting it wrong is more expensive. AI can helping improve talent acquisition efficiency and effectiveness. From finding the right candidates to creating and delivering the right message to those candidates, read this article to discover more.

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