A new role focused on creating data products and making data science work in production.
The FusionNet deep learning architecture tackles three-dimensional objects with underlying architectures that “think” in three dimensions.
The O’Reilly Data Show Podcast: Michael Freedman on TimescaleDB and scaling SQL for time-series.
Mix-and-match approaches for visualizing data and interpreting machine learning models and results.
Data, algorithms, and better business results are key to developing AI.
Teresa Tung on building a business case for the Internet of Things.
Tools, trends, what pays (and what doesn’t) for data professionals in Europe
Watching the appeal and applications of machine intelligence expand.
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The adventures in deep learning and cheap hardware continue!
June Andrews talks about simple, cost-effective algorithmic computing at scale.
Working with uncertainty in real-world data.
Building and training your first TensorFlow graph from the ground up.
Mike Barlow examines the growth of sophisticated cloud-based AI and machine learning services for a growing market of developers and users in business and academia.
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“Data is having an impact on business models and profitability. It’s hard to find a non-trivial application that doesn’t use data in a significant manner.”— Ben Lorica, Director of Content Strategy for Data at O'Reilly Media