AI News, Introducing Seldon Core — Machine Learning Deployment for Kubernetes

Introducing Seldon Core — Machine Learning Deployment for Kubernetes

Seldon Core focuses on solving the last step in any machine learning project to help companies put models into production, to solve real-world problems and maximise the return on investment.

These graphs can be composed of: Efficiency — traditional infrastructure stacks and devops processes don’t translate well to machine learning, and there is limited open-source innovation in this space, which forces companies to build their own at great expense or to use a proprietary service.

You can get started quickly by installing the official release via Helm: We’ve designed a Kubernetes Custom Resource for a Seldon Deployment, which means you can manage deployments directly with kubectl instead of having to learn a new CLI: Our team of data scientists and engineers at Seldon are building and managing the Seldon Core project directly on Github, not in a private company repo and project management systems, so expect to see lots of activity from us.

Serving ML Models at Scale with Seldon and Kubeflow - Clive Cox, Seldon.io

Want to view more sessions and keep the conversations going? Join us for KubeCon + CloudNativeCon North America in Seattle, December 11 - 13, 2018 ...

Introducing Seldon Deploy

We're excited to start lifting the lid on Seldon Deploy — a new enterprise product for data science teams that will be entering closed beta this summer. Seldon ...

Kubeflow Deep Dive – David Aronchick & Jeremy Lewi, Google (Intermediate Skill Level)

Want to view more sessions and keep the conversations going? Join us for KubeCon + CloudNativeCon North America in Seattle, December 11 - 13, 2018 ...

Building ML Products With Kubeflow - Jeremy Lewi, Google & Stephan Fabel, Canonical

Want to view more sessions and keep the conversations going? Join us for KubeCon + CloudNativeCon North America in Seattle, December 11 - 13, 2018 ...

Kubeflow Intro – Michał Jastrzębski & Ala Raddaoui, Intel (Any Skill Level)

Want to view more sessions and keep the conversations going? Join us for KubeCon + CloudNativeCon North America in Seattle, December 11 - 13, 2018 ...

Leveraging Kubernetes for Machine Learning

This talk will demonstrate how a developer can build machine learning pipelines on top of Kubernetes. This presentation will include a deep dive on how ...

Thomas Dietterich - Challenges for Machine Learning in Ecological Science and Ecosystem Management

Thomas G. Dietterich (Oregon State University) presents as part of the UBC Department of Computer Science's Distinguished Lecture Series, October 20, 2011.

The future we're building -- and boring | Elon Musk

Elon Musk discusses his new project digging tunnels under LA, the latest from Tesla and SpaceX and his motivation for building a future on Mars in conversation ...

Hal Abelson

Harold (Hal) Abelson PhD '73 Class of 1922 Professor of Electrical Engineering and Computer Science Co-founder of OpenCourseWare Hal Abelson, the Class ...