Recent trends in recommender systems

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Danny Bickson on recommenders, data science, and applications of machine learning. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In thisContinue reading “Recent trends in recommender systems”

Semi-supervised, unsupervised, and adaptive algorithms for large-scale time series

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ira Cohen on developing machine learning tools for a broad range of 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,Continue reading “Semi-supervised, unsupervised, and adaptive algorithms for large-scale time series”

Practical machine learning techniques for building intelligent applications

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Mikio Braun on practical data science, deep neural networks, machine learning, and AI. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS.Continue reading “Practical machine learning techniques for building intelligent applications”

Time-turner: Strata San Jose 2016, day 2

There are so many good talks happening at the same time that it’s impossible to not miss out on good sessions. But imagine I had a time-turner necklace and could actually “attend” 3 (maybe 5) sessions happening at the same time. Taking into account my current personal interests and tastes, here’s how my day wouldContinue reading “Time-turner: Strata San Jose 2016, day 2”

Time-turner: Strata San Jose 2016, day 1

There are so many good talks happening at the same time that it’s impossible to not miss out on good sessions. But imagine I had a time-turner necklace and could actually “attend” 3 (maybe 5) sessions happening at the same time. Taking into account my current personal interests and tastes, here’s how my day wouldContinue reading “Time-turner: Strata San Jose 2016, day 1”

Hardcore Data Science, California 2016

Ben Recht and I organized another great edition of Hardcore Data Science in San Jose today. As I was preparing to host the track, I had an inkling we had another outstanding sequence of presentations. The day covered hot topics like deep neural networks, practical advice on how to do data science & machine learningContinue reading “Hardcore Data Science, California 2016”

Democratizing business analytics

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Duncan Ross on the evolution of analytics, data mining, and data philanthropy. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. InContinue reading “Democratizing business analytics”

Using Apache Spark to predict attack vectors among billions of users and trillions of events

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show podcast: Fang Yu on data science in security, unsupervised learning, and Apache Spark. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science: Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode ofContinue reading “Using Apache Spark to predict attack vectors among billions of users and trillions of events”

Building a business that combines human experts and data science

The O’Reilly Data Show podcast: Eric Colson on algorithms, human computation, and building data science teams. [A version of this post appears on the O’Reilly Radar.] Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. In this episode of the O’Reilly Data Show, I spokeContinue reading “Building a business that combines human experts and data science”