[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Rajat Monga on the current state of TensorFlow and training large-scale deep neural networks. 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 “Building intelligent applications with deep learning and TensorFlow”
Tag Archives: podcast
Hybrid transactional/analytic systems and the quest for database nirvana
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Rohit Jain on the challenges of hybrid data management systems. 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 “Hybrid transactional/analytic systems and the quest for database nirvana”
Using AI to build a comprehensive database of knowledge
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Mike Tung on large-scale structured data extraction, intelligent systems, and the importance of knowledge databases. 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,Continue reading “Using AI to build a comprehensive database of knowledge”
Structured streaming comes to Apache Spark 2.0
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Michael Armbrust on enabling users to perform streaming analytics, without having to reason about streaming. 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,Continue reading “Structured streaming comes to Apache Spark 2.0”
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”
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”
Stream processing and messaging systems for the IoT age
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show podcast: M.C. Srivas on streaming, enterprise grade systems, the Internet of Things, and data for social good. 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,Continue reading “Stream processing and messaging systems for the IoT age”
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”