Introducing model-based thinking into AI systems

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Vikash Mansinghka on recent developments in probabilistic programming. 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 IContinue reading “Introducing model-based thinking into AI systems”

Building the next-generation big data analytics stack

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Michael Franklin on the lasting legacy of AMPLab. 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 IContinue reading “Building the next-generation big data analytics stack”

Visual tools for overcoming information overload

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Dafna Shahaf on information cartography and AI, and Sam Wang on probabilistic methods for forecasting political elections. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us onContinue reading “Visual tools for overcoming information overload”

Why businesses should pay attention to deep learning

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Christopher Nguyen on the early days of Apache Spark, deep learning for time-series and transactional data, innovation in China, and AI. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, andContinue reading “Why businesses should pay attention to deep learning”

The technology behind self-driving vehicles

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Shaoshan Liu on perception, knowledge, reasoning, and planning for autonomous cars. Shaoshan Liu takes a deep dive into this topic in his recent post “Creating autonomous vehicle systems.” Subscribe to the O’Reilly Data Show Podcast to explore the opportunities andContinue reading “The technology behind self-driving vehicles”

Data architectures for streaming applications

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Dean Wampler on streaming data applications, Scala and Spark, and cloud computing. 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 “Data architectures for streaming applications”

Strata NYC 2016 is next week

1/ We have great keynotes next week at #StrataHadoop NYC🗽 Here are a few to watch for: — Ben Lorica (@bigdata) September 21, 2016 2/ .@Pagankennedy author of Inventology ⇢ The art and science of serendipity #StrataHadoop NYC🗽 https://t.co/fJMitfeFk7 — Ben Lorica (@bigdata) September 21, 2016 3/ Jill Lepore of @Harvard_History & @NewYorker ⇢ TheContinue reading “Strata NYC 2016 is next week”

Data science for humans and data science for machines

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Michael Li on the state of data engineering and data science training programs. 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 “Data science for humans and data science for machines”