AI & ML Business Data Innovation Research Security

Try the O’Reilly learning platform

With the O’Reilly learning platform, you get the resources and guidance to keep your skills sharp and stay ahead. Try it free for up to 14 days.

Start trial

Try a course for free

Join a live online event on the O’Reilly platform to learn from the experts shaping tech.

See what’s coming soon

Get the Radar Trends newsletter

Your email

Country

Please read our privacy policy.

Content > Topics

KeystoneML: Optimized large-scale machine learning pipelines on Apache Spark

Evan Sparks describes the principles behind KeystoneML and introduces its programming model by way of example pipelines in NLP and image classification.

By Evan Sparks July 6, 2016 • 1 minute read

LinkedIn X Facebook Threads Bluesky Reddit

John Powers @ node10. (source: Brandon Morse on Flickr)

This webcast originally aired on May 17, 2016.

Related content:

• Advanced Analytics with Spark, by Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills
• 6 reasons why I like KeystoneML: an O’Reilly Data Show Podcast with Ben Recht
• KeystoneML benchmarks

Post topics: Big Data Tools and Pipelines

Cloud Computing

Data Engineering

Data Science

AI & ML

Programming Languages

Software Architecture

IT/Ops

Security

Design

Business

Soft Skills

Try the O’Reilly learning platform

Try a course for free

Get the Radar Trends newsletter

Thank you for subscribing to the O’Reilly Radar Trends to Watch newsletter.

KeystoneML: Optimized large-scale machine learning pipelines on Apache Spark