[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Kenneth Stanley on neuroevolution and other principled ways of exploring the world without an objective. In this episode of the Data Show, I spoke with Ken Stanley, founding member of Uber AI Labs and associate professor at the University ofContinue reading “Effective mechanisms for searching the space of machine learning algorithms”
Author Archives: Ben Lorica
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 bottlenecks in supervised machine learning. As we enter the latter part of 2017, it’s time to take a look at the common challenges faced by companies interested in using data science and machine learning (ML).Continue reading “The current state of applied data science”
How Ray makes continuous learning accessible and easy to scale
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Robert Nishihara and Philipp Moritz on a new framework for reinforcement learning and AI 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 “How Ray makes continuous learning accessible and easy to scale”
Why continuous learning is key to AI
[A version of this post appears on the O’Reilly Radar.] A look ahead at the tools and methods for learning from sparse feedback. As more companies begin to experiment with and deploy machine learning in different settings, it’s good to look ahead at what future systems might look like. Today, the typical sequence is toContinue reading “Why continuous learning is key to AI”
Why AI and machine learning researchers are beginning to embrace PyTorch
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Soumith Chintala on building a worthy successor to Torch and deep learning within Facebook. 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 “Why AI and machine learning researchers are beginning to embrace PyTorch”
How big data and AI will reshape the automotive industry
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Evangelos Simoudis on next-generation mobility services. 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 episode of the Data Show, I spoke with Evangelos Simoudis,Continue reading “How big data and AI will reshape the automotive industry”
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”