Machine learning on encrypted data

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Alon Kaufman on the interplay … More

Simplifying machine learning lifecycle management

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Harish Doddi on accelerating the … More

We need to build machine learning tools to augment machine learning engineers

We need to build machine learning tools to augment our machine learning engineers. In this post, I share slides and … More

How machine learning will accelerate data management systems

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Tim Kraska on why ML … More

Machine learning at Spotify: You are what you stream

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Christine Hung on using data … More

Building a natural language processing library for Apache Spark

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: David Talby on a new … More

How companies can navigate the age of machine learning

To become a “machine learning company,” you need tools and processes to overcome challenges in data, engineering, and models. Over … More

The state of machine learning in Apache Spark

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ion Stoica and Matei Zaharia … More

The current state of applied data science

[A version of this post appears on the O’Reilly Radar.] Recent trends in practical use and a discussion of key … More

A framework for building and evaluating data products

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Pinterest data scientist Grace Huang … More