Becoming a machine learning engineer

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Aurélien Géron on enabling companies to use machine learning in real-world 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, SoundCloud, RSS.Continue reading “Becoming a machine learning engineer”

Natural language analysis using Hierarchical Temporal Memory

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Francisco Webber on building HTM-based enterprise 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 episode of theContinue reading “Natural language analysis using Hierarchical Temporal Memory”

Deep learning that’s easy to implement and easy to scale

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Anima Anandkumar on MXNet, tensor computations and deep learning, and techniques for scaling algorithms. 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 “Deep learning that’s easy to implement and easy to scale”

Building machine learning solutions that can withstand adversarial attacks

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Parvez Ahammad on minimal supervision, and the importance of explainability, interpretability, and security. 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 “Building machine learning solutions that can withstand adversarial attacks”

Deep learning for Apache Spark

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Jason Dai on BigDL, a library for deep learning on existing data frameworks. 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 “Deep learning for Apache Spark”

The key to building deep learning solutions for large enterprises

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Adam Gibson on the importance of ROI, integration, and the JVM. 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. AsContinue reading “The key to building deep learning solutions for large enterprises”

How big compute is powering the deep learning rocketship

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Greg Diamos on building computer systems for deep learning and 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. SpecialistsContinue reading “How big compute is powering the deep learning rocketship”

Data is only as valuable as the decisions it enables

[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ion Stoica on building intelligent and secure applications on live 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, RSS. InContinue reading “Data is only as valuable as the decisions it enables”

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”