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 on lessons learned in the course of machine learning product launches. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher,Continue reading “A framework for building and evaluating data products”

Building a next-generation platform for deep learning

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Naveen Rao on emerging hardware and software infrastructure for AI. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In thisContinue reading “Building a next-generation platform for deep learning”

A scalable time-series database that supports SQL

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Michael Freedman on TimescaleDB and scaling SQL for time-series. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episodeContinue reading “A scalable time-series database that supports SQL”

Programming collective intelligence for financial trading

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Geoffrey Bradway on building a trading system that synthesizes many different models. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS.Continue reading “Programming collective intelligence for financial trading”

Creating large training data sets quickly

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Alex Ratner on why weak supervision is the key to unlocking dark data. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud,Continue reading “Creating large training data sets quickly”

Data science and deep learning in retail

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jeremy Stanley on hiring and leading machine learning engineers to build world-class data products. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Data science and deep learning in retail”

Language understanding remains one of AI’s grand challenges

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: David Ferrucci on the evolution of AI systems for language understanding. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. InContinue reading “Language understanding remains one of AI’s grand challenges”

Data preparation in the age of deep learning

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Lukas Biewald on why companies are spending millions of dollars on labeled data sets. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Data preparation in the age of deep learning”

Scaling machine learning

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Reza Zadeh on deep learning, hardware/software interfaces, and why computer vision is so exciting. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Scaling machine learning”

Architecting and building end-to-end streaming applications

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Karthik Ramasamy on Heron, DistributedLog, and designing real-time applications. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episodeContinue reading “Architecting and building end-to-end streaming applications”